I. Data Set Descriptors A. Title: Meteorological data from Primary Met Station at the Andrews Forest. Variables include: fan-aspirated air temperature and four component radiation from 01-Oct-2019 to 01-Oct-2020 B. Accession Number: N/A C. Description 1. Originator(s): Christopher Daly 2. Abstract: A three-level hydro-climatological network for data monitoring was established in 1994. The networks at each level are nested to form a coordinated program of data acquisition and measurement. A future vision of linking the benchmark meteorological stations with regional weather stations to expand the future scope of studies was also considered in designing this network. The first-level in this top-down approach consists of Benchmark Meteorological Stations (BMS) and Benchmark Stream Stations. The BMS are designed to represent the environment across the Andrews. These stations are intended to provide complete, long-term, high temporal resolution, meso-scale hydroclimatological data. The location of the BMS network is based on factors such as elevation, aspect, vegetation gradients, and accessibility. Collected meteorological parameters are generally standardized across the BMS as well as methods and instrumentation. Secondary Meteorological Stations also follow standardized methods and serve similar purposes but are somewhat limited in meteorological parameters collected. The Primary Meteorological Station (PRIMET), Central Meteorological Station (CENMET), Upper Lookout Meteorological Station (UPLMET), and Vanilla Leaf Meteorological Station (VANMET) are the four Benchmark Stations, Climatic Station at Watershed 2 (CS2MET) and the Hi-15 Meteorological Station (H15MET) are Secondary Stations. 3. Study Type: Monitoring 4. Study Themes: 5. LTER Core Areas: 6. Georeferences: 7. Submission Date: D. Keywords: Air temperature, Climate change, Climate data, Meteorological measurements, Monitoring, Photosynthetically active radiation, Precipitation, Relative humidity, Snow accumulation, Snow hydrology, Soil moisture, Soil temperature, Solar radiation, Wind speed, Disturbance II. Research Origin Descriptors A. Overall Project Description 1. Project Title: Primary Met Station 2. Principal Investigators: Name: Position: Organization: Address: City: State: Postal Code: Phone: Email: UserID: 3. Funding Period: to 4. Objectives: Hydrology, climatology, and biology interact over a wide range of spatial and temporal scales. Continuous interaction among climate, soils, landuse, and vegetation shape the hydrology and ecology of a landscape. Long-term measurements of such variables at various time and space scales provide an essential foundation for understanding ecosystem processes, and document changes in the local, regional, and global environments. 5. Abstract: 6. Funding Source: NSF grants: DEB-7611978, BSR-9011663, DEB-9632921, DEB-0218088 B. Sub-project Description 1. Site Description a. Geographic Location: HJ Andrews, Blue River, Oregon, USA Coordinates: b. Physiographic Region: c. Landform Components: d. Hydrographic Characteristics: e. Topographic Attributes: f. Geology, Lithology and Soils: g. Vegetation Communities: CANOPY: None overhead, though insolation affected slightly from trees on adjacent hillsides. CONTINUOUS, OPEN CANOPY TYPE. SURFACE: Short grass/dirt, generally clear of vegetation. h. History of Land Use and Disturbance: i. Climate: 2. Experimental or Sampling Design a. Design Characteristics: Temperature and rainfall in the Andrews Experimental Forestare are typical of a maritime climate with wet, relatively mild winters and dry, cool summers. Humidity is generally high through winter months, and maximum daily relative humidity approaches 100 percent at night throughout the year. Minimum summer humidities generally hover around 30-50 percent. Temperature extremes range from near 0 degrees F in unusually cold winters to over 100 degrees for brief periods almost every summer. The range in mean annual temperature (1972-2002) is 7.1-10.5 degrees C at a low elevation site (PRIMET). Precipitation varies with elevation - long-term annual average at low elevation (450 m) is 2200 mm, and at high elevation (1200m) is 2600 mm. b. Permanent Plots: c. Data Collection Duration and Frequency: Beginning of Observations: End of Observations: 3. Research Methods a. Field and Laboratory Methods: b. Protocols: c. Instrumentation: d. Taxonomy and Systematics: None e. Speclies List: f. Permit History: 4. Project Personnel a. Personnel: b. Affiliations: III. Data Set Status and Accessibility A. Status 1. Latest Update: 22-May-2025 2. Latest Archive Date: 3. Latest Metadata Update: 22-May-2025 4. Data Verification Status: B. Accessibility 1. Storage Location and Medium: Stored at on media: 2. Contact Person: Adam M. Kennedy 3. Copyright Restrictions: 4. Restrictions: a. Release Date: Affiliates: , Public: b. Citation: c. Disclaimer: 5. Costs: IV. Data Structural Descriptors A. Data Set File 1. File Name: primet_229_a_5min_2020.csv 2. Size: 105408 records 3. File Format: ASCII text (comma-separated value format) 3a. Delimiters: single comma 4. Header Information: 5 lines of ASCII text 5. Alphanumeric Attributes: 6. Quality Control Flag Codes: Q = questionable value, I = invalid value (out of range), V = Value change, P = Program ID change, C = Flags values greater than or less than N Stdev the mean of the preceding M readings, A = Flags values with total accumulation over N days greater than some value, T = For methods or hardware related flags. ie. broken shield, S = Flags unrealistic sequences of identical or near identical values in time series of non-missing values, D = Value is outside detection limit, L = Low value, H = High value, R = Reduced volume stored in sample tank, ? = unspecified, ? = unspecified, ? = unspecified, ? = unspecified, ? = unspecified, ? = unspecified, ? = unspecified, ? = unspecified, ? = unspecified, ? = unspecified, E = data value estimated by interpolation, M = Missing value, 2 = Questionable low daytime value (SWI < 20.0 W/m² AND TSB < 1.4 °C) - possible snow/frost 7. Authentication Procedures: 8. Calculations: 9. Processing History: Software version: GCE Data Toolbox Version 3.9.10 (23-May-2022) Data structure version: GCE Data Structure 1.1 (29-Mar-2001) Original data files processed: metdat query: SELECT * FROM PRIM_229_rad_temp_avg WHERE LOGGERID = 229 AND TmStamp BETWEEN '2019-10-01 00:05:00' AND '2020-10-01 00:00:00' ORDER BY TmStamp ASC (100409 records) FINAL_AIRTEMP_QC4SIGMA_leap_ak.csv (8784 records) workspace (105325 records) sunrise_sunset_cenmet_2004_5min.csv (105397 records) sunrise_sunset_primet_2004_5min.csv (105397 records) sunrise_sunset_uplmet_2004_5min.csv (105397 records) sunrise_sunset_vanmet_2004_5min.csv (105397 records) sunrise_sunset_cenmet_2004_5min.csv (105397 records) sunrise_sunset_primet_2004_5min.csv (105397 records) sunrise_sunset_uplmet_2004_5min.csv (105397 records) sunrise_sunset_vanmet_2004_5min.csv (105397 records) Data processing history: 22-May-2025: new GCE Data Structure 1.1 created ('newstruct') 22-May-2025: imported result set from SQL query on data source 'metdat' ('sql2struct') 22-May-2025: imported all documentation metadata from the template 'LNDB_PriMet_3', updating descriptors for columns Date, RecNum, LOGGERID, PROGID, SWI_MEAN_600_0_02, SWO_MEAN_600_0_02, LWI_MEAN_600_0_02, LWO_MEAN_600_0_02, NRT_MEAN_600_0_02, LWI_AVG_[]_[]_[], LWO_AVG_[]_[]_[], TSB_MEAN_600_0_02, NR01TK_Avg_[]_[]_[]_[], NRS_AVG_[]_[]_[], NRL_AVG_[]_[]_[], SW_ALBEDO_[]_600_0_02, IN_AVG, OUT_AVG_[]_[]_[]_[], AIRTEMP_MEAN_150_0_06, AIRTEMP_MEAN_250_0_07, AIRTEMP_MEAN_350_0_08, AIRTEMP_MEAN_450_0_09, BATTERY_MIN, LOGGER_AVG, AIRTEMP_MAX_150_0_06, AIRTEMP_MAX_250_0_07, AIRTEMP_MAX_350_0_08, AIRTEMP_MAX_450_0_09, AIRTEMP_MIN_150_0_06, AIRTEMP_MIN_250_0_07, AIRTEMP_MIN_350_0_08 and AIRTEMP_MIN_450_0_09 ('meta_template') 22-May-2025: updated 15 metadata fields in the Data, Dataset, Project, Site, Status, Study section(s) ('addmeta') 22-May-2025: updated title ('newtitle') 22-May-2025: Q/C flagging criteria applied, 'flags' field updated ('dataflag') 22-May-2025: added column 'Site' at position 1 ('addcol') 22-May-2025: inserted 4999 new records with date/time values and NaN/null data values (replicating common values in the non-data columns Site, RecNum, LOGGERID and PROGID) to fill in date/time interval gaps in the data series and assigned flag 'M' to inserted records ('pad_date_gaps') 22-May-2025: sorted by column Date(ascending) ('sortdata') 22-May-2025: Year, Month, Day, Hour and Minute datetime columns added after column Date ('add_datepartcols') 22-May-2025: sorted by columns Month(ascending), Day(ascending), Hour(ascending) ('sortdata') 22-May-2025: performed a lookup join of columns Month, Day and Hour on columns Month, Day and Hour from a second structure, returning column(s) Site, Date, Year, Minute, RecNum, LOGGERID, PROGID, SWI_MEAN_600_0_02, SWO_MEAN_600_0_02, LWI_MEAN_600_0_02, LWO_MEAN_600_0_02, NRT_MEAN_600_0_02, LWI_AVG_[]_[]_[], LWO_AVG_[]_[]_[], TSB_MEAN_600_0_02, NR01TK_Avg_[]_[]_[]_[], NRS_AVG_[]_[]_[], NRL_AVG_[]_[]_[], SW_ALBEDO_[]_600_0_02, IN_AVG, OUT_AVG_[]_[]_[]_[], AIRTEMP_MEAN_150_0_06, AIRTEMP_MEAN_250_0_07, AIRTEMP_MEAN_350_0_08, AIRTEMP_MEAN_450_0_09, BATTERY_MIN, LOGGER_AVG, AIRTEMP_MAX_150_0_06, AIRTEMP_MAX_250_0_07, AIRTEMP_MAX_350_0_08, AIRTEMP_MAX_450_0_09, AIRTEMP_MIN_150_0_06, AIRTEMP_MIN_250_0_07, AIRTEMP_MIN_350_0_08 and AIRTEMP_MIN_450_0_09 from the first structure and column(s) MEAN, STD, MIN, MAX, MEDIAN, FOURLO and FOURHI from the second structure (105408 rows) ('joindata') 22-May-2025: sorted by column Date(ascending) ('sortdata') 22-May-2025: imported all documentation metadata from the template 'LNDB_PriMet_3qc', updating descriptors for columns Date, AIRTEMP_MEAN_150_0_06, AIRTEMP_MEAN_250_0_07, AIRTEMP_MEAN_350_0_08, AIRTEMP_MEAN_450_0_09, AIRTEMP_MAX_150_0_06, AIRTEMP_MAX_250_0_07, AIRTEMP_MAX_350_0_08, AIRTEMP_MAX_450_0_09, AIRTEMP_MIN_150_0_06, AIRTEMP_MIN_250_0_07, AIRTEMP_MIN_350_0_08 and AIRTEMP_MIN_450_0_09 ('meta_template') 22-May-2025: updated 15 metadata fields in the Data, Dataset, Project, Site, Status, Study section(s) ('addmeta') 22-May-2025: updated title ('newtitle') 22-May-2025: Q/C flagging criteria applied, 'flags' field updated ('dataflag') 22-May-2025: Q/C Criteria of column Date changed from 'x<0='I';isnan(x)='M';manual' to 'x<0='I';isnan(x)='M''; Q/C Criteria of column AIRTEMP_MEAN_150_0_06 changed from 'isnan(x)='M';x<=-35='I';x>50='I';xcol_FOURHI='Q';flag_valuechange( x,8,8,1)='Q';flag_valuechange(x,6.5,6.5,1)='V';manual' to 'isnan(x)='M';x<=-35='I';x>50='I';xcol_FOURHI='Q';flag_valuechange( x,8,8,1)='Q';flag_valuechange(x,6.5,6.5,1)='V';x>col_AIRTEMP_MAX_150_0_06='I';x1='Q';(col_AIRTE MP_MEAN_150_0_06-col_AIRTEMP_MIN_150_0_06)>1='Q';flag_daterange(col_Date,{'11/02/2024 09:35:00','11/19/2024 15:45:00'})='T';flag_daterange(col_Date,{'01/29/2025 13:45:00','01/29/2025 15:45:00'})='T''; Q/C Criteria of column AIRTEMP_MEAN_250_0_07 changed from 'isnan(x)='M';x<=-35='I';x>50='I';xcol_FOURHI='Q';flag_valuechange( x,8,8,1)='Q';flag_valuechange(x,6.5,6.5,1)='V';flag_daterange(col_Date,{'01/15/2024 09:30:00','01/19/2024 10:35:00'})=’T’;flag_daterange(col_Date,{’01/20/2024 12:00:00',’01/28/2024 08:30:00'})=’T';manual' to 'isnan(x)='M';x<=-35='I';x>50='I';xcol_FOURHI='Q';flag_valuechange( x,8,8,1)='Q';flag_valuechange(x,6.5,6.5,1)='V';x>col_AIRTEMP_MAX_250_0_07='I';x1='Q';(c ol_AIRTEMP_MEAN_250_0_07-col_AIRTEMP_MIN_250_0_07)>1='Q';flag_daterange(col_Date,{'09 /30/2020 10:40:00','09/30/2020 14:00:00'})='Q';flag_daterange(col_Date,{'01/15/2024 09:30:00','01/19/2024 10:35:00'})=’T’;flag_daterange(col_Date,{’01/20/2024 12:00:00',’01/28/2024 08:30:00'})=’T''; Q/C Criteria of column AIRTEMP_MEAN_350_0_08 changed from 'isnan(x)='M';x<=-35='I';x>50='I';xcol_FOURHI='Q';flag_valuechange( x,8,8,1)='Q';flag_valuechange(x,6.5,6.5,1)='V';flag_daterange(col_Date,{'01/15/2024 09:30:00','01/19/2024 10:35:00'})=’T’;flag_daterange(col_Date,{’01/20/2024 12:00:00',’01/28/2024 08:30:00'})=’T';flag_daterange(col_Date,{’06/07/2023 13:50:00',’06/07/2023 14:00:00'})=’I';manual' to 'isnan(x)='M';x<=-35='I';x>50='I';xcol_FOURHI='Q';flag_valuechange( x,8,8,1)='Q';flag_valuechange(x,6.5,6.5,1)='V';(col_AIRTEMP_MAX_350_0_08-col_AIRTEMP_ MEAN_350_0_08)>1='Q';(col_AIRTEMP_MEAN_350_0_08-col_AIRTEMP_MIN_350_0_08)>1='Q';x>col _AIRTEMP_MAX_350_0_08='I';x50='I';xcol_FOURHI='Q';flag_valuechange( x,8,8,1)='Q';flag_valuechange(x,6.5,6.5,1)='V';flag_daterange(col_Date,{'01/15/2024 09:30:00','01/19/2024 10:35:00'})=’T’;flag_daterange(col_Date,{’01/20/2024 12:00:00',’01/28/2024 08:30:00'})=’T';flag_daterange(col_Date,{'03/29/2024 05:00:00','05/09/2024 20:00:00'})='T';flag_daterange(col_Date,{'07/07/2024 04:30:00','07/10/2024 19:15:00'})='T';manual' to 'isnan(x)='M';x<=-35='I';x>50='I';xcol_FOURHI='Q';flag_valuechange( x,8,8,1)='Q';flag_valuechange(x,6.5,6.5,1)='V';(col_AIRTEMP_MAX_450_0_09-col_AIRTEMP_ MEAN_450_0_09)>1='Q';(col_AIRTEMP_MEAN_450_0_09-col_AIRTEMP_MIN_450_0_09)>1='Q';x>col _AIRTEMP_MAX_450_0_09='I';x50='I';xcol_FOURHI='Q';flag_valuechange( x,8,8,1)='Q';flag_valuechange(x,6.5,6.5,1)='V';manual' to 'isnan(x)='M';x<=-35='I';x>50='I';xcol_FOURHI='Q';flag_valuechange( x,8,8,1)='Q';flag_valuechange(x,6.5,6.5,1)='V''; Q/C Criteria of column AIRTEMP_MAX_350_0_08 changed from 'isnan(x)='M';x<=-35='I';x>50='I';xcol_FOURHI='Q';flag_valuechange( x,8,8,1)='Q';flag_valuechange(x,6.5,6.5,1)='V';manual' to 'isnan(x)='M';x<=-35='I';x>50='I';xcol_FOURHI='Q';flag_valuechange( x,8,8,1)='Q';flag_valuechange(x,6.5,6.5,1)='V''; Q/C Criteria of column AIRTEMP_MAX_450_0_09 changed from 'isnan(x)='M';x<=-35='I';x>50='I';xcol_FOURHI='Q';flag_valuechange( x,8,8,1)='Q';flag_valuechange(x,6.5,6.5,1)='V';manual' to 'isnan(x)='M';x<=-35='I';x>50='I';xcol_FOURHI='Q';flag_valuechange( x,8,8,1)='Q';flag_valuechange(x,6.5,6.5,1)='V''; Q/C Criteria of column AIRTEMP_MIN_150_0_06 changed from 'isnan(x)='M';x<=-35='I';x>50='I';xcol_FOURHI='Q';flag_valuechange( x,8,8,1)='Q';flag_valuechange(x,6.5,6.5,1)='V';manual' to 'isnan(x)='M';x<=-35='I';x>50='I';xcol_FOURHI='Q';flag_valuechange( x,8,8,1)='Q';flag_valuechange(x,6.5,6.5,1)='V''; Q/C Criteria of column AIRTEMP_MIN_250_0_07 changed from 'isnan(x)='M';x<=-35='I';x>50='I';xcol_FOURHI='Q';flag_valuechange( x,8,8,1)='Q';flag_valuechange(x,6.5,6.5,1)='V';manual' to 'isnan(x)='M';x<=-35='I';x>50='I';xcol_FOURHI='Q';flag_valuechange( x,8,8,1)='Q';flag_valuechange(x,6.5,6.5,1)='V''; Q/C Criteria of column AIRTEMP_MIN_350_0_08 changed from 'isnan(x)='M';x<=-35='I';x>50='I';xcol_FOURHI='Q';flag_valuechange( x,8,8,1)='Q';flag_valuechange(x,6.5,6.5,1)='V';manual' to 'isnan(x)='M';x<=-35='I';x>50='I';xcol_FOURHI='Q';flag_valuechange( x,8,8,1)='Q';flag_valuechange(x,6.5,6.5,1)='V''; Q/C Criteria of column AIRTEMP_MIN_450_0_09 changed from 'isnan(x)='M';x<=-35='I';x>50='I';xcol_FOURHI='Q';flag_valuechange( x,8,8,1)='Q';flag_valuechange(x,6.5,6.5,1)='V';manual' to 'isnan(x)='M';x<=-35='I';x>50='I';xcol_FOURHI='Q';flag_valuechange( x,8,8,1)='Q';flag_valuechange(x,6.5,6.5,1)='V''; ('apply_template') 22-May-2025: deleted columns Month, Day, Hour, Year, Minute, RecNum, MEAN, STD, MIN, MAX, FOURLO, FOURHI and MEDIAN from the structure ('deletecols') 22-May-2025: sorted by column Date(ascending) ('sortdata') 22-May-2025: updated 1 metadata fields in the Data section(s) ('addmeta') 22-May-2025: replaced 9 missing values in column AIRTEMP_MEAN_150_0_06 with estimated values based on 1D interpolation of AIRTEMP_MEAN_150_0_06 as a function of Date using the MATLAB 9.913 function 'interp1' with the 'linear' (linear interpolation) method option, excluding data gaps with more than 5 consecutive missing values, and flagging the estimated values as 'E' ('interp_missing') 22-May-2025: 9 values in 'AIRTEMP_MEAN_150_0_06' were updated with new values ('update_data'): changed record 13232 from NaN to 8.330, changed record 23192 from NaN to 8.405, changed record 36100 from NaN to -0.731, changed record 44197 from NaN to 5.467, changed record 44656 from NaN to 3.477, changed record 57419 from NaN to 8.044, changed record 61089 from NaN to 10.335, changed record 72566 from NaN to 9.640, changed record 83262 from NaN to 12.855 22-May-2025: Q/C flagging criteria applied for column(s) AIRTEMP_MEAN_150_0_06, 'flags' field updated ('dataflag') 22-May-2025: replaced 9 missing values in column AIRTEMP_MEAN_250_0_07 with estimated values based on 1D interpolation of AIRTEMP_MEAN_250_0_07 as a function of Date using the MATLAB 9.913 function 'interp1' with the 'linear' (linear interpolation) method option, excluding data gaps with more than 5 consecutive missing values, and flagging the estimated values as 'E' ('interp_missing') 22-May-2025: 9 values in 'AIRTEMP_MEAN_250_0_07' were updated with new values ('update_data'): changed record 13232 from NaN to 8.425, changed record 23192 from NaN to 8.460, changed record 36100 from NaN to -0.722, changed record 44197 from NaN to 5.440, changed record 44656 from NaN to 3.500, changed record 57419 from NaN to 7.918, changed record 61089 from NaN to 10.400, changed record 72566 from NaN to 9.675, changed record 83262 from NaN to 13.195 22-May-2025: Q/C flagging criteria applied for column(s) AIRTEMP_MEAN_250_0_07, 'flags' field updated ('dataflag') 22-May-2025: replaced 9 missing values in column AIRTEMP_MEAN_350_0_08 with estimated values based on 1D interpolation of AIRTEMP_MEAN_350_0_08 as a function of Date using the MATLAB 9.913 function 'interp1' with the 'linear' (linear interpolation) method option, excluding data gaps with more than 5 consecutive missing values, and flagging the estimated values as 'E' ('interp_missing') 22-May-2025: 9 values in 'AIRTEMP_MEAN_350_0_08' were updated with new values ('update_data'): changed record 13232 from NaN to 8.465, changed record 23192 from NaN to 8.500, changed record 36100 from NaN to -0.703, changed record 44197 from NaN to 5.408, changed record 44656 from NaN to 3.517, changed record 57419 from NaN to 8.082, changed record 61089 from NaN to 10.410, changed record 72566 from NaN to 9.690, changed record 83262 from NaN to 13.330 22-May-2025: Q/C flagging criteria applied for column(s) AIRTEMP_MEAN_350_0_08, 'flags' field updated ('dataflag') 22-May-2025: replaced 9 missing values in column AIRTEMP_MEAN_450_0_09 with estimated values based on 1D interpolation of AIRTEMP_MEAN_450_0_09 as a function of Date using the MATLAB 9.913 function 'interp1' with the 'linear' (linear interpolation) method option, excluding data gaps with more than 5 consecutive missing values, and flagging the estimated values as 'E' ('interp_missing') 22-May-2025: 9 values in 'AIRTEMP_MEAN_450_0_09' were updated with new values ('update_data'): changed record 13232 from NaN to 8.455, changed record 23192 from NaN to 8.540, changed record 36100 from NaN to -0.733, changed record 44197 from NaN to 5.381, changed record 44656 from NaN to 3.490, changed record 57419 from NaN to 8.089, changed record 61089 from NaN to 10.390, changed record 72566 from NaN to 9.675, changed record 83262 from NaN to 13.370 22-May-2025: Q/C flagging criteria applied for column(s) AIRTEMP_MEAN_450_0_09, 'flags' field updated ('dataflag') 22-May-2025: copied QA/QC flags from column(s) AIRTEMP_MEAN_150_0_06 to column(s) AIRTEMP_MAX_150_0_06 and AIRTEMP_MIN_150_0_06, merging copied flags with any existing flags, and set QA/QC criteria for destination column(s) to 'manual' ('copyflags') 22-May-2025: copied QA/QC flags from column(s) AIRTEMP_MEAN_250_0_07 to column(s) AIRTEMP_MAX_250_0_07 and AIRTEMP_MIN_250_0_07, merging copied flags with any existing flags, and set QA/QC criteria for destination column(s) to 'manual' ('copyflags') 22-May-2025: copied QA/QC flags from column(s) AIRTEMP_MEAN_350_0_08 to column(s) AIRTEMP_MAX_350_0_08 and AIRTEMP_MIN_350_0_08, merging copied flags with any existing flags, and set QA/QC criteria for destination column(s) to 'manual' ('copyflags') 22-May-2025: copied QA/QC flags from column(s) AIRTEMP_MEAN_450_0_09 to column(s) AIRTEMP_MAX_450_0_09 and AIRTEMP_MIN_450_0_09, merging copied flags with any existing flags, and set QA/QC criteria for destination column(s) to 'manual' ('copyflags') 22-May-2025: replaced values matching 'SWI_MEAN_600_0_02 <= 5.0 & SWI_MEAN_600_0_02 > -5.0' in column(s) SWI_MEAN_600_0_02 with 0 ('num_replace') 22-May-2025: 25397 values in 'SWI_MEAN_600_0_02' were updated with new values ('update_data') 22-May-2025: Q/C flagging criteria applied for column(s) SWI_MEAN_600_0_02, 'flags' field updated ('dataflag') 22-May-2025: replaced values matching 'SWI_MEAN_600_0_02 > -15 & SWI_MEAN_600_0_02 <= -5' in column(s) SWI_MEAN_600_0_02 with 0 ('num_replace') 22-May-2025: 28698 values in 'SWI_MEAN_600_0_02' were updated with new values ('update_data') 22-May-2025: Q/C flagging criteria applied for column(s) SWI_MEAN_600_0_02, 'flags' field updated ('dataflag') 22-May-2025: manually added 'E' flags to 28698 records in column(s) SWI_MEAN_600_0_02 ('addflags') 22-May-2025: manually added 'Q' flags to 58 records in column(s) SWI_MEAN_600_0_02 ('addflags') 22-May-2025: updated 1 metadata fields in the Data section(s) ('addmeta') 22-May-2025: manually added 'M' flags to 4999 records in column(s) SWI_MEAN_600_0_02 excluding NaN/empty values ('addflags') 22-May-2025: added column 'SWI_RUNMN_600_0_02' at position 33 ('addcol') 22-May-2025: Year, Month, Day, Hour and Minute datetime columns added after column Date ('add_datepartcols') 22-May-2025: sorted by columns Month(ascending), Day(ascending), Hour(ascending), Minute(ascending) ('sortdata') 22-May-2025: performed a lookup join of columns Month, Day, Hour and Minute on columns Month, Day, Hour and Minute from a second structure, returning column(s) Site, Date, Year, LOGGERID, PROGID, SWI_MEAN_600_0_02, SWO_MEAN_600_0_02, LWI_MEAN_600_0_02, LWO_MEAN_600_0_02, NRT_MEAN_600_0_02, LWI_AVG_[]_[]_[], LWO_AVG_[]_[]_[], TSB_MEAN_600_0_02, NR01TK_Avg_[]_[]_[]_[], NRS_AVG_[]_[]_[], NRL_AVG_[]_[]_[], SW_ALBEDO_[]_600_0_02, IN_AVG, OUT_AVG_[]_[]_[]_[], AIRTEMP_MEAN_150_0_06, AIRTEMP_MEAN_250_0_07, AIRTEMP_MEAN_350_0_08, AIRTEMP_MEAN_450_0_09, BATTERY_MIN, LOGGER_AVG, AIRTEMP_MAX_150_0_06, AIRTEMP_MAX_250_0_07, AIRTEMP_MAX_350_0_08, AIRTEMP_MAX_450_0_09, AIRTEMP_MIN_150_0_06, AIRTEMP_MIN_250_0_07, AIRTEMP_MIN_350_0_08, AIRTEMP_MIN_450_0_09 and SWI_RUNMN_600_0_02 from the first structure and column(s) Year, CEN, CS2MET, DISCTR, PRI, UPL, VAN, CEN_100, CS2MET_100, DISCTR_100, PRI_100, UPL_100, VAN_100, CEN_SS, CS2MET_SS, DISCTR_SS, PRI_SS, UPL_SS, VAN_SS, CEN_SS_3, CS2MET_SS_3, DISCTR_SS_3, PRI_SS_3, VAN_SS_3, CEN_isDaytime, CEN_isNighttime, PRI_isDaytime, PRI_isNighttime, UPL_isDaytime, UPL_isNighttime, VAN_isDaytime and VAN_isNighttime from the second structure (105408 rows) ('joindata') 22-May-2025: sorted by column Date(ascending) ('sortdata') 22-May-2025: manually added 'Q' flags to 59 records in column(s) SWI_RUNMN_600_0_02 ('addflags') 22-May-2025: locked Q/C flag criteria for column SWI_RUNMN_600_0_02 to prevent automatic evaluation ('flag_locks') 22-May-2025: deleted columns Month, Day, Hour and Minute from the structure ('deletecols') 22-May-2025: deleted column Year from the structure ('deletecols') 22-May-2025: added column 'Hour' at position 66 ('addcol') 22-May-2025: updated 1 metadata fields in the Data section(s) ('addmeta') 22-May-2025: manually added '2' flags to 1 records in column(s) SWI_MEAN_600_0_02 ('addflags') 22-May-2025: copied QA/QC flags from column(s) SWI_MEAN_600_0_02, SWO_MEAN_600_0_02, LWI_MEAN_600_0_02 and LWO_MEAN_600_0_02 to column(s) NRT_MEAN_600_0_02, merging copied flags with any existing flags, and set QA/QC criteria for destination column(s) to 'manual' ('copyflags') 22-May-2025: added column 'SWI_TOT_600_0_02' at position 67 ('addcol') 22-May-2025: copied QA/QC flags from column(s) SWI_MEAN_600_0_02 to column(s) SWI_TOT_600_0_02, merging copied flags with any existing flags, and set QA/QC criteria for destination column(s) to 'manual' ('copyflags') 22-May-2025: added column 'SWO_TOT_600_0_02' at position 68 ('addcol') 22-May-2025: copied QA/QC flags from column(s) SWO_MEAN_600_0_02 to column(s) SWO_TOT_600_0_02, merging copied flags with any existing flags, and set QA/QC criteria for destination column(s) to 'manual' ('copyflags') 22-May-2025: documented flagged and missing values in columns Site, LOGGERID, PROGID, SWI_MEAN_600_0_02, SWO_MEAN_600_0_02, LWI_MEAN_600_0_02, LWO_MEAN_600_0_02, NRT_MEAN_600_0_02, LWI_AVG_[]_[]_[], LWO_AVG_[]_[]_[], TSB_MEAN_600_0_02, NR01TK_Avg_[]_[]_[]_[], NRS_AVG_[]_[]_[], NRL_AVG_[]_[]_[], SW_ALBEDO_[]_600_0_02, IN_AVG, OUT_AVG_[]_[]_[]_[], AIRTEMP_MEAN_150_0_06, AIRTEMP_MEAN_250_0_07, AIRTEMP_MEAN_350_0_08, AIRTEMP_MEAN_450_0_09, BATTERY_MIN, LOGGER_AVG, AIRTEMP_MAX_150_0_06, AIRTEMP_MAX_250_0_07, AIRTEMP_MAX_350_0_08, AIRTEMP_MAX_450_0_09, AIRTEMP_MIN_150_0_06, AIRTEMP_MIN_250_0_07, AIRTEMP_MIN_350_0_08, AIRTEMP_MIN_450_0_09, SWI_RUNMN_600_0_02, Year, CEN, CS2MET, DISCTR, PRI, UPL, VAN, CEN_100, CS2MET_100, DISCTR_100, PRI_100, UPL_100, VAN_100, CEN_SS, CS2MET_SS, DISCTR_SS, PRI_SS, UPL_SS, VAN_SS, CEN_SS_3, CS2MET_SS_3, DISCTR_SS_3, PRI_SS_3, VAN_SS_3, CEN_isDaytime, CEN_isNighttime, PRI_isDaytime, PRI_isNighttime, UPL_isDaytime, UPL_isNighttime, VAN_isDaytime, VAN_isNighttime, SWI_TOT_600_0_02 and SWO_TOT_600_0_02 as data set anomalies in the metadata ('add_anomalies') 22-May-2025: updated title ('newtitle') 22-May-2025: updated 1 metadata fields in the Dataset section(s) ('addmeta') 22-May-2025: updated title ('newtitle') 22-May-2025: updated 1 metadata fields in the Dataset section(s) ('addmeta') 22-May-2025: deleted columns LOGGER_AVG and BATTERY_MIN from the structure ('deletecols') 22-May-2025: deleted columns Year, CEN, CS2MET, DISCTR, PRI, UPL, VAN, CEN_100, CS2MET_100, DISCTR_100, PRI_100, UPL_100, VAN_100, CEN_SS, CS2MET_SS, DISCTR_SS, PRI_SS, UPL_SS, VAN_SS, CEN_SS_3, CS2MET_SS_3, DISCTR_SS_3, PRI_SS_3, VAN_SS_3, CEN_isDaytime, CEN_isNighttime, PRI_isDaytime, PRI_isNighttime, UPL_isDaytime, UPL_isNighttime, VAN_isDaytime and VAN_isNighttime from the structure ('deletecols') 22-May-2025: deleted column Date from the structure ('deletecols') 22-May-2025: added column 'Date' at position 2 ('addcol') 22-May-2025: flags for columns SWI_MEAN_600_0_02, SWO_MEAN_600_0_02, LWI_MEAN_600_0_02, LWO_MEAN_600_0_02, NRT_MEAN_600_0_02, LWI_AVG_[]_[]_[], LWO_AVG_[]_[]_[], TSB_MEAN_600_0_02, NR01TK_Avg_[]_[]_[]_[], NRS_AVG_[]_[]_[], NRL_AVG_[]_[]_[], SW_ALBEDO_[]_600_0_02, IN_AVG, OUT_AVG_[]_[]_[]_[], AIRTEMP_MEAN_150_0_06, AIRTEMP_MEAN_250_0_07, AIRTEMP_MEAN_350_0_08, AIRTEMP_MEAN_450_0_09, AIRTEMP_MAX_150_0_06, AIRTEMP_MAX_250_0_07, AIRTEMP_MAX_350_0_08, AIRTEMP_MAX_450_0_09, AIRTEMP_MIN_150_0_06, AIRTEMP_MIN_250_0_07, AIRTEMP_MIN_350_0_08, AIRTEMP_MIN_450_0_09, SWI_RUNMN_600_0_02, Hour, SWI_TOT_600_0_02 and SWO_TOT_600_0_02 converted to data columns, flag codes updated in metadata ('flags2cols') 22-May-2025: updated 6 metadata fields in the Data section(s) ('addmeta') 22-May-2025: updated 15 metadata fields in the Status, Data sections to reflect attribute metadata ('updatecols') 22-May-2025: parsed and formatted metadata ('listmeta') B. Variable Information 1. Variable Name: column 1. Site column 2. Date column 3. LOGGERID column 4. PROGID column 5. SWI_MEAN_600_0_02 column 6. Flag_SWI_MEAN_600_0_02 column 7. SWO_MEAN_600_0_02 column 8. Flag_SWO_MEAN_600_0_02 column 9. LWI_MEAN_600_0_02 column 10. Flag_LWI_MEAN_600_0_02 column 11. LWO_MEAN_600_0_02 column 12. Flag_LWO_MEAN_600_0_02 column 13. NRT_MEAN_600_0_02 column 14. Flag_NRT_MEAN_600_0_02 column 15. LWI_AVG_[]_[]_[] column 16. Flag_LWI_AVG_[]_[]_[] column 17. LWO_AVG_[]_[]_[] column 18. Flag_LWO_AVG_[]_[]_[] column 19. TSB_MEAN_600_0_02 column 20. Flag_TSB_MEAN_600_0_02 column 21. NR01TK_Avg_[]_[]_[]_[] column 22. Flag_NR01TK_Avg_[]_[]_[]_[] column 23. NRS_AVG_[]_[]_[] column 24. Flag_NRS_AVG_[]_[]_[] column 25. NRL_AVG_[]_[]_[] column 26. Flag_NRL_AVG_[]_[]_[] column 27. SW_ALBEDO_[]_600_0_02 column 28. Flag_SW_ALBEDO_[]_600_0_02 column 29. IN_AVG column 30. Flag_IN_AVG column 31. OUT_AVG_[]_[]_[]_[] column 32. Flag_OUT_AVG_[]_[]_[]_[] column 33. AIRTEMP_MEAN_150_0_06 column 34. Flag_AIRTEMP_MEAN_150_0_06 column 35. AIRTEMP_MEAN_250_0_07 column 36. Flag_AIRTEMP_MEAN_250_0_07 column 37. AIRTEMP_MEAN_350_0_08 column 38. Flag_AIRTEMP_MEAN_350_0_08 column 39. AIRTEMP_MEAN_450_0_09 column 40. Flag_AIRTEMP_MEAN_450_0_09 column 41. AIRTEMP_MAX_150_0_06 column 42. Flag_AIRTEMP_MAX_150_0_06 column 43. AIRTEMP_MAX_250_0_07 column 44. Flag_AIRTEMP_MAX_250_0_07 column 45. AIRTEMP_MAX_350_0_08 column 46. Flag_AIRTEMP_MAX_350_0_08 column 47. AIRTEMP_MAX_450_0_09 column 48. Flag_AIRTEMP_MAX_450_0_09 column 49. AIRTEMP_MIN_150_0_06 column 50. Flag_AIRTEMP_MIN_150_0_06 column 51. AIRTEMP_MIN_250_0_07 column 52. Flag_AIRTEMP_MIN_250_0_07 column 53. AIRTEMP_MIN_350_0_08 column 54. Flag_AIRTEMP_MIN_350_0_08 column 55. AIRTEMP_MIN_450_0_09 column 56. Flag_AIRTEMP_MIN_450_0_09 column 57. SWI_RUNMN_600_0_02 column 58. Flag_SWI_RUNMN_600_0_02 column 59. Hour column 60. Flag_Hour column 61. SWI_TOT_600_0_02 column 62. Flag_SWI_TOT_600_0_02 column 63. SWO_TOT_600_0_02 column 64. Flag_SWO_TOT_600_0_02 2. Variable Definition: column 1. Site code column 2. Round off corrected corrected serial date column 3. LOGGERID column 4. Program ID of program column 5. Downward shortwave radiation recorded by Hukseflux NR01 column 6. QA/QC flags for Downward shortwave radiation recorded by Hukseflux NR01 (flagging criteria, where "x" is SWI_MEAN_600_0_02: isnan(x)="M", manual) column 7. Upward shortwave radiation recorded by Hukseflux NR01 column 8. QA/QC flags for Upward shortwave radiation recorded by Hukseflux NR01 (flagging criteria, where "x" is SWO_MEAN_600_0_02: isnan(x)="M", manual) column 9. Corrrected downward longwave radiation (emited from the atmosphere). Correction factor: IR01UpCo=IR01Up+5.67*10^-8*NR01TK^4 recorded by Hukseflux NR01 column 10. QA/QC flags for Corrrected downward longwave radiation (emited from the atmosphere). Correction factor: IR01UpCo=IR01Up+5.67*10^-8*NR01TK^4 recorded by Hukseflux NR01 (flagging criteria, where "x" is LWI_MEAN_600_0_02: isnan(x)="M", manual) column 11. Corrrected upward longwave radiation (emited from the surface). Correction factor: IR01DnCo=IR01Dn+5.67*10^-8*NR01TK^4 recorded by Hukseflux NR01 column 12. QA/QC flags for Corrrected upward longwave radiation (emited from the surface). Correction factor: IR01DnCo=IR01Dn+5.67*10^-8*NR01TK^4 recorded by Hukseflux NR01 (flagging criteria, where "x" is LWO_MEAN_600_0_02: isnan(x)="M", flag_daterange(Date,{"8/26/2022 11:10:00","8/26/2022 20:00:00"})="Q", manual) column 13. Net radiation total. NetTot=UpTot-DnTot recorded by Hukseflux NR01 column 14. QA/QC flags for Net radiation total. NetTot=UpTot-DnTot recorded by Hukseflux NR01 (flagging criteria, where "x" is NRT_MEAN_600_0_02: isnan(x)="M", flag_daterange(Date,{"8/26/2022 11:10:00","8/26/2022 20:00:00"})="Q", manual) column 15. Uncorrrected downward longwave radiation (emited from the atmosphere) recorded by Hukseflux NR01 column 16. QA/QC flags for Uncorrrected downward longwave radiation (emited from the atmosphere) recorded by Hukseflux NR01 (flagging criteria, where "x" is LWI_AVG_[]_[]_[]: isnan(x)="M", manual) column 17. Uncorrrected upward longwave radiation (emited from the surface) recorded by Hukseflux NR01 column 18. QA/QC flags for Uncorrrected upward longwave radiation (emited from the surface) recorded by Hukseflux NR01 (flagging criteria, where "x" is LWO_AVG_[]_[]_[]: isnan(x)="M", flag_daterange(Date,{"8/26/2022 11:10:00","8/26/2022 20:00:00"})="Q", manual) column 19. Temperature of sensor body recorded by Hukseflux NR01 column 20. QA/QC flags for Temperature of sensor body recorded by Hukseflux NR01 (flagging criteria, where "x" is TSB_MEAN_600_0_02: isnan(x)="M", manual) column 21. Temperature of sensor body. NR01TK=NR01TC+273.15 recorded by Hukseflux NR01 column 22. QA/QC flags for Temperature of sensor body. NR01TK=NR01TC+273.15 recorded by Hukseflux NR01 (flagging criteria, where "x" is NR01TK_Avg_[]_[]_[]_[]: isnan(x)="M", manual) column 23. Net shortwave radiation. NetRs=SR01Up-SR01Dn recorded by Hukseflux NR01 column 24. QA/QC flags for Net shortwave radiation. NetRs=SR01Up-SR01Dn recorded by Hukseflux NR01 (flagging criteria, where "x" is NRS_AVG_[]_[]_[]: isnan(x)="M", flag_daterange(Date,{"8/26/2022 11:10:00","8/26/2022 20:00:00"})="Q", manual) column 25. Net longwave radiation. NetRl=IR01Up-IR01Dn recorded by Hukseflux NR01 column 26. QA/QC flags for Net longwave radiation. NetRl=IR01Up-IR01Dn recorded by Hukseflux NR01 (flagging criteria, where "x" is NRL_AVG_[]_[]_[]: isnan(x)="M", flag_daterange(Date,{"8/26/2022 11:10:00","8/26/2022 20:00:00"})="Q", manual) column 27. Shortwave radiation albedo column 28. QA/QC flags for Shortwave radiation albedo (flagging criteria, where "x" is SW_ALBEDO_[]_600_0_02: x<0="Q", x>1="Q", isnan(x)="M") column 29. Total downward radiation. UpTot=SR01Up+IR01UpCo column 30. QA/QC flags for Total downward radiation. UpTot=SR01Up+IR01UpCo (flagging criteria, where "x" is IN_AVG: isnan(x)="M", manual) column 31. Total upward radiation; DnTot=SR01Dn+IR01DnCo recorded by Hukseflux NR01 column 32. QA/QC flags for Total upward radiation; DnTot=SR01Dn+IR01DnCo recorded by Hukseflux NR01 (flagging criteria, where "x" is OUT_AVG_[]_[]_[]_[]: isnan(x)="M", manual) column 33. Fan aspirated temperature column 34. QA/QC flags for Fan aspirated temperature (flagging criteria, where "x" is AIRTEMP_MEAN_150_0_06: isnan(x)="M", x<=-35="I", x>50="I", xFOURHI="Q", flag_valuechange(x,8,8,1)="Q", flag_valuechange(x,6.5,6.5,1)="V", x>AIRTEMP_MAX_150_0_06="I", x1="Q", (AIRTEMP_MEAN_150_0_06-AIRTEMP_MIN_150_0_06)>1="Q", flag_daterange(Date,{"11/02/2024 09:35:00","11/19/2024 15:45:00"})="T", flag_daterange(Date,{"01/29/2025 13:45:00","01/29/2025 15:45:00"})="T", manual) column 35. Fan aspirated temperature column 36. QA/QC flags for Fan aspirated temperature (flagging criteria, where "x" is AIRTEMP_MEAN_250_0_07: isnan(x)="M", x<=-35="I", x>50="I", xFOURHI="Q", flag_valuechange(x,8,8,1)="Q", flag_valuechange(x,6.5,6.5,1)="V", x>AIRTEMP_MAX_250_0_07="I", x1="Q", (AIRTEMP_MEAN_250_0_07-AIRTEMP_MIN_250_0_07)>1="Q", flag_daterange(Date,{"09/30/2020 10:40:00","09/30/2020 14:00:00"})="Q", flag_daterange(Date,{"01/15/2024 09:30:00","01/19/2024 10:35:00"})=’T’, flag_daterange(Date,{’01/20/2024 12:00:00",’01/28/2024 08:30:00"})=’T", manual) column 37. Fan aspirated temperature column 38. QA/QC flags for Fan aspirated temperature (flagging criteria, where "x" is AIRTEMP_MEAN_350_0_08: isnan(x)="M", x<=-35="I", x>50="I", xFOURHI="Q", flag_valuechange(x,8,8,1)="Q", flag_valuechange(x,6.5,6.5,1)="V", (AIRTEMP_MAX_350_0_08-AIRTEMP_MEAN_350_0_08)>1="Q", (AIRTEMP_MEAN_350_0_08-AIRTEMP_MIN_350_0_08)>1="Q", x>AIRTEMP_MAX_350_0_08="I", x50="I", xFOURHI="Q", flag_valuechange(x,8,8,1)="Q", flag_valuechange(x,6.5,6.5,1)="V", (AIRTEMP_MAX_450_0_09-AIRTEMP_MEAN_450_0_09)>1="Q", (AIRTEMP_MEAN_450_0_09-AIRTEMP_MIN_450_0_09)>1="Q", x>AIRTEMP_MAX_450_0_09="I", x50="I", xFOURHI="Q", flag_valuechange(x,8,8,1)="Q", flag_valuechange(x,6.5,6.5,1)="V", manual) column 43. Fan aspirated temperature column 44. QA/QC flags for Fan aspirated temperature (flagging criteria, where "x" is AIRTEMP_MAX_250_0_07: isnan(x)="M", x<=-35="I", x>50="I", xFOURHI="Q", flag_valuechange(x,8,8,1)="Q", flag_valuechange(x,6.5,6.5,1)="V", manual) column 45. Fan aspirated temperature column 46. QA/QC flags for Fan aspirated temperature (flagging criteria, where "x" is AIRTEMP_MAX_350_0_08: isnan(x)="M", x<=-35="I", x>50="I", xFOURHI="Q", flag_valuechange(x,8,8,1)="Q", flag_valuechange(x,6.5,6.5,1)="V", manual) column 47. Fan aspirated temperature column 48. QA/QC flags for Fan aspirated temperature (flagging criteria, where "x" is AIRTEMP_MAX_450_0_09: isnan(x)="M", x<=-35="I", x>50="I", xFOURHI="Q", flag_valuechange(x,8,8,1)="Q", flag_valuechange(x,6.5,6.5,1)="V", manual) column 49. Fan aspirated temperature column 50. QA/QC flags for Fan aspirated temperature (flagging criteria, where "x" is AIRTEMP_MIN_150_0_06: isnan(x)="M", x<=-35="I", x>50="I", xFOURHI="Q", flag_valuechange(x,8,8,1)="Q", flag_valuechange(x,6.5,6.5,1)="V", manual) column 51. Fan aspirated temperature column 52. QA/QC flags for Fan aspirated temperature (flagging criteria, where "x" is AIRTEMP_MIN_250_0_07: isnan(x)="M", x<=-35="I", x>50="I", xFOURHI="Q", flag_valuechange(x,8,8,1)="Q", flag_valuechange(x,6.5,6.5,1)="V", manual) column 53. Fan aspirated temperature column 54. QA/QC flags for Fan aspirated temperature (flagging criteria, where "x" is AIRTEMP_MIN_350_0_08: isnan(x)="M", x<=-35="I", x>50="I", xFOURHI="Q", flag_valuechange(x,8,8,1)="Q", flag_valuechange(x,6.5,6.5,1)="V", manual) column 55. Fan aspirated temperature column 56. QA/QC flags for Fan aspirated temperature (flagging criteria, where "x" is AIRTEMP_MIN_450_0_09: isnan(x)="M", x<=-35="I", x>50="I", xFOURHI="Q", flag_valuechange(x,8,8,1)="Q", flag_valuechange(x,6.5,6.5,1)="V", manual) column 57. 7-point running mean column 58. QA/QC flags for 7-point running mean (flagging criteria, where "x" is SWI_RUNMN_600_0_02: manual) column 59. Hour of day column 60. QA/QC flags for Hour of day (flagging criteria, where "x" is Hour: ) column 61. Calculated total radiative energy. MJ/m2 = val_in_watts * number_seconds_in_period / 1000000 column 62. QA/QC flags for Calculated total radiative energy. MJ/m2 = val_in_watts * number_seconds_in_period / 1000000 (flagging criteria, where "x" is SWI_TOT_600_0_02: manual) column 63. Calculated total radiative energy. MJ/m2 = val_in_watts * number_seconds_in_period / 1000000 column 64. QA/QC flags for Calculated total radiative energy. MJ/m2 = val_in_watts * number_seconds_in_period / 1000000 (flagging criteria, where "x" is SWO_TOT_600_0_02: manual) 3. Units of Measurement: column 1. column 2. yyyy-MM-dd HH:mm:ss column 3. none column 4. none column 5. w m-2 column 6. none column 7. w m-2 column 8. none column 9. w m-2 column 10. none column 11. w m-2 column 12. none column 13. w m-2 column 14. none column 15. w m-2 column 16. none column 17. w m-2 column 18. none column 19. deg c column 20. none column 21. w m-2 column 22. none column 23. w m-2 column 24. none column 25. w m-2 column 26. none column 27. none column 28. none column 29. W m-2 column 30. none column 31. w m-2 column 32. none column 33. deg c column 34. none column 35. deg c column 36. none column 37. deg c column 38. none column 39. deg c column 40. none column 41. deg c column 42. none column 43. deg c column 44. none column 45. deg c column 46. none column 47. deg c column 48. none column 49. deg c column 50. none column 51. deg c column 52. none column 53. deg c column 54. none column 55. deg c column 56. none column 57. W m-2 column 58. none column 59. column 60. none column 61. MJ/m2 column 62. none column 63. MJ/m2 column 64. none 4. Data Type a. Storage Type: column 1. string column 2. string column 3. integer column 4. floating-point column 5. floating-point column 6. string column 7. floating-point column 8. string column 9. floating-point column 10. string column 11. floating-point column 12. string column 13. floating-point column 14. string column 15. floating-point column 16. string column 17. floating-point column 18. string column 19. floating-point column 20. string column 21. floating-point column 22. string column 23. floating-point column 24. string column 25. floating-point column 26. string column 27. floating-point column 28. string column 29. floating-point column 30. string column 31. floating-point column 32. string column 33. floating-point column 34. string column 35. floating-point column 36. string column 37. floating-point column 38. string column 39. floating-point column 40. string column 41. floating-point column 42. string column 43. floating-point column 44. string column 45. floating-point column 46. string column 47. floating-point column 48. string column 49. floating-point column 50. string column 51. floating-point column 52. string column 53. floating-point column 54. string column 55. floating-point column 56. string column 57. floating-point column 58. string column 59. floating-point column 60. string column 61. floating-point column 62. string column 63. floating-point column 64. string b. Variable Codes: Flag_SWI_MEAN_600_0_02: 2 = Questionable low daytime value (SWI < 20.0 W/m² AND TSB < 1.4 °C) - possible snow/frost, E = data value estimated by interpolation, M = Missing value, Q = questionable value Flag_SWO_MEAN_600_0_02: M = Missing value Flag_LWI_MEAN_600_0_02: M = Missing value Flag_LWO_MEAN_600_0_02: M = Missing value Flag_NRT_MEAN_600_0_02: 2 = Questionable low daytime value (SWI < 20.0 W/m² AND TSB < 1.4 °C) - possible snow/frost, E = data value estimated by interpolation, M = Missing value, Q = questionable value Flag_LWI_AVG_[]_[]_[]: M = Missing value Flag_LWO_AVG_[]_[]_[]: M = Missing value Flag_TSB_MEAN_600_0_02: M = Missing value Flag_NR01TK_Avg_[]_[]_[]_[]: M = Missing value Flag_NRS_AVG_[]_[]_[]: M = Missing value Flag_NRL_AVG_[]_[]_[]: M = Missing value Flag_SW_ALBEDO_[]_600_0_02: M = Missing value, Q = questionable value Flag_IN_AVG: M = Missing value Flag_OUT_AVG_[]_[]_[]_[]: M = Missing value Flag_AIRTEMP_MEAN_150_0_06: E = data value estimated by interpolation, M = Missing value, Q = questionable value Flag_AIRTEMP_MEAN_250_0_07: E = data value estimated by interpolation, M = Missing value, Q = questionable value Flag_AIRTEMP_MEAN_350_0_08: E = data value estimated by interpolation, M = Missing value, Q = questionable value Flag_AIRTEMP_MEAN_450_0_09: E = data value estimated by interpolation, M = Missing value, Q = questionable value Flag_AIRTEMP_MAX_150_0_06: E = data value estimated by interpolation, M = Missing value, Q = questionable value Flag_AIRTEMP_MAX_250_0_07: E = data value estimated by interpolation, M = Missing value, Q = questionable value Flag_AIRTEMP_MAX_350_0_08: E = data value estimated by interpolation, M = Missing value, Q = questionable value Flag_AIRTEMP_MAX_450_0_09: E = data value estimated by interpolation, M = Missing value, Q = questionable value Flag_AIRTEMP_MIN_150_0_06: E = data value estimated by interpolation, M = Missing value, Q = questionable value Flag_AIRTEMP_MIN_250_0_07: E = data value estimated by interpolation, M = Missing value, Q = questionable value Flag_AIRTEMP_MIN_350_0_08: E = data value estimated by interpolation, M = Missing value, Q = questionable value Flag_AIRTEMP_MIN_450_0_09: E = data value estimated by interpolation, M = Missing value, Q = questionable value Flag_SWI_RUNMN_600_0_02: Q = questionable value Flag_SWI_TOT_600_0_02: 2 = Questionable low daytime value (SWI < 20.0 W/m² AND TSB < 1.4 °C) - possible snow/frost, E = data value estimated by interpolation, M = Missing value, Q = questionable value Flag_SWO_TOT_600_0_02: M = Missing value c. Numeric Range: column 1. (none) column 2. (none) column 3. 229 to 229 column 4. 7999 to 7999 column 5. 0 to 1260 column 6. (none) column 7. -14.1 to 281.7 column 8. (none) column 9. 227.8 to 462.2 column 10. (none) column 11. 287 to 622.6 column 12. (none) column 13. -78.78 to 1059 column 14. (none) column 15. -169.4 to 8.16 column 16. (none) column 17. -84 to 70.06 column 18. (none) column 19. -1.891 to 49.56 column 20. (none) column 21. 271.3 to 322.7 column 22. (none) column 23. -16.67 to 1075 column 24. (none) column 25. -198.7 to 39.61 column 26. (none) column 27. -37.01 to 16.44 column 28. (none) column 29. 225.1 to 1664 column 30. (none) column 31. 285.2 to 756.4 column 32. (none) column 33. -6.198 to 39.15 column 34. (none) column 35. -6.128 to 38.95 column 36. (none) column 37. -6.067 to 38.9 column 38. (none) column 39. -6.062 to 39.02 column 40. (none) column 41. -6.141 to 39.92 column 42. (none) column 43. -6.061 to 39.51 column 44. (none) column 45. -6.02 to 39.55 column 46. (none) column 47. -6.03 to 39.71 column 48. (none) column 49. -6.293 to 38.5 column 50. (none) column 51. -6.182 to 38.35 column 52. (none) column 53. -6.141 to 38.35 column 54. (none) column 55. -6.111 to 38.46 column 56. (none) column 57. 0 to 1103.4286 column 58. (none) column 59. 0 to 23 column 60. (none) column 61. 0 to 0.378 column 62. (none) column 63. -0.00423 to 0.08451 column 64. (none) d. Missing Value Code: NaN 5. Data Format a. Column Type: column 1. text column 2. text column 3. numerical column 4. numerical column 5. numerical column 6. text column 7. numerical column 8. text column 9. numerical column 10. text column 11. numerical column 12. text column 13. numerical column 14. text column 15. numerical column 16. text column 17. numerical column 18. text column 19. numerical column 20. text column 21. numerical column 22. text column 23. numerical column 24. text column 25. numerical column 26. text column 27. numerical column 28. text column 29. numerical column 30. text column 31. numerical column 32. text column 33. numerical column 34. text column 35. numerical column 36. text column 37. numerical column 38. text column 39. numerical column 40. text column 41. numerical column 42. text column 43. numerical column 44. text column 45. numerical column 46. text column 47. numerical column 48. text column 49. numerical column 50. text column 51. numerical column 52. text column 53. numerical column 54. text column 55. numerical column 56. text column 57. numerical column 58. text column 59. numerical column 60. text column 61. numerical column 62. text column 63. numerical column 64. text b. Number of Columns: 64 c. Decimal Places: column 1. 0 column 2. 0 column 3. 0 column 4. 1 column 5. 2 column 6. 0 column 7. 2 column 8. 0 column 9. 2 column 10. 0 column 11. 2 column 12. 0 column 13. 2 column 14. 0 column 15. 3 column 16. 0 column 17. 3 column 18. 0 column 19. 3 column 20. 0 column 21. 2 column 22. 0 column 23. 2 column 24. 0 column 25. 2 column 26. 0 column 27. 4 column 28. 0 column 29. 1 column 30. 0 column 31. 2 column 32. 0 column 33. 3 column 34. 0 column 35. 3 column 36. 0 column 37. 3 column 38. 0 column 39. 3 column 40. 0 column 41. 3 column 42. 0 column 43. 3 column 44. 0 column 45. 3 column 46. 0 column 47. 3 column 48. 0 column 49. 3 column 50. 0 column 51. 3 column 52. 0 column 53. 3 column 54. 0 column 55. 3 column 56. 0 column 57. 2 column 58. 0 column 59. 0 column 60. 0 column 61. 3 column 62. 0 column 63. 3 column 64. 0 6. Logical Variable Type: column 1. nominal (none) column 2. datetime (none) column 3. nominal (discrete) column 4. nominal (continuous) column 5. data (continuous) column 6. coded value (none) column 7. data (continuous) column 8. coded value (none) column 9. data (continuous) column 10. coded value (none) column 11. data (continuous) column 12. coded value (none) column 13. data (continuous) column 14. coded value (none) column 15. data (continuous) column 16. coded value (none) column 17. data (continuous) column 18. coded value (none) column 19. data (continuous) column 20. coded value (none) column 21. data (continuous) column 22. coded value (none) column 23. data (continuous) column 24. coded value (none) column 25. data (continuous) column 26. coded value (none) column 27. data (continuous) column 28. coded value (none) column 29. data (continuous) column 30. coded value (none) column 31. data (continuous) column 32. coded value (none) column 33. data (continuous) column 34. coded value (none) column 35. data (continuous) column 36. coded value (none) column 37. data (continuous) column 38. coded value (none) column 39. data (continuous) column 40. coded value (none) column 41. data (continuous) column 42. coded value (none) column 43. data (continuous) column 44. coded value (none) column 45. data (continuous) column 46. coded value (none) column 47. data (continuous) column 48. coded value (none) column 49. data (continuous) column 50. coded value (none) column 51. data (continuous) column 52. coded value (none) column 53. data (continuous) column 54. coded value (none) column 55. data (continuous) column 56. coded value (none) column 57. data (continuous) column 58. coded value (none) column 59. calculation (discrete) column 60. coded value (none) column 61. calculation (continuous) column 62. coded value (none) column 63. calculation (continuous) column 64. coded value (none) 7. Flagging Criteria: column 1. manually-assigned flags column 2. none column 3. flag_notinarray(x,[226,229,230,239])="Q";isnan(x)="M";manually-assigned flags column 4. flag_valuechange(x,0.1,0.1,1)="P";isnan(x)="M";manually-assigned flags column 5. isnan(x)="M";manually-assigned flags column 6. none column 7. isnan(x)="M";manually-assigned flags column 8. none column 9. isnan(x)="M";manually-assigned flags column 10. none column 11. isnan(x)="M";flag_daterange(col_Date,{"8/26/2022 11:10:00","8/26/2022 20:00:00"})="Q";manually-assigned flags column 12. none column 13. isnan(x)="M";flag_daterange(col_Date,{"8/26/2022 11:10:00","8/26/2022 20:00:00"})="Q";manually-assigned flags column 14. none column 15. isnan(x)="M";manually-assigned flags column 16. none column 17. isnan(x)="M";flag_daterange(col_Date,{"8/26/2022 11:10:00","8/26/2022 20:00:00"})="Q";manually-assigned flags column 18. none column 19. isnan(x)="M";manually-assigned flags column 20. none column 21. isnan(x)="M";manually-assigned flags column 22. none column 23. isnan(x)="M";flag_daterange(col_Date,{"8/26/2022 11:10:00","8/26/2022 20:00:00"})="Q";manually-assigned flags column 24. none column 25. isnan(x)="M";flag_daterange(col_Date,{"8/26/2022 11:10:00","8/26/2022 20:00:00"})="Q";manually-assigned flags column 26. none column 27. x<0="Q";x>1="Q";isnan(x)="M" column 28. none column 29. isnan(x)="M";manually-assigned flags column 30. none column 31. isnan(x)="M";manually-assigned flags column 32. none column 33. isnan(x)="M";x<=-35="I";x>50="I";xcol_FOURHI="Q";flag_valuechange(x,8, 8,1)="Q";flag_valuechange(x,6.5,6.5,1)="V";x>col_AIRTEMP_MAX_150_0_06="I";x1="Q";(col_AIRTEMP_ MEAN_150_0_06-col_AIRTEMP_MIN_150_0_06)>1="Q";flag_daterange(col_Date,{"11/02/2024 09:35:00","11/19/2024 15:45:00"})="T";flag_daterange(col_Date,{"01/29/2025 13:45:00","01/29/2025 15:45:00"})="T";manually-assigned flags column 34. none column 35. isnan(x)="M";x<=-35="I";x>50="I";xcol_FOURHI="Q";flag_valuechange(x,8, 8,1)="Q";flag_valuechange(x,6.5,6.5,1)="V";x>col_AIRTEMP_MAX_250_0_07="I";x1="Q";(col_AIRTEMP _MEAN_250_0_07-col_AIRTEMP_MIN_250_0_07)>1="Q";flag_daterange(col_Date,{"09/30/2020 10:40:00","09/30/2020 14:00:00"})="Q";flag_daterange(col_Date,{"01/15/2024 09:30:00","01/19/2024 10:35:00"})=’T’;flag_daterange(col_Date,{’01/20/2024 12:00:00",’01/28/2024 08:30:00"})=’T";manually-assigned flags column 36. none column 37. isnan(x)="M";x<=-35="I";x>50="I";xcol_FOURHI="Q";flag_valuechange(x,8, 8,1)="Q";flag_valuechange(x,6.5,6.5,1)="V";(col_AIRTEMP_MAX_350_0_08-col_AIRTEMP_MEAN_35 0_0_08)>1="Q";(col_AIRTEMP_MEAN_350_0_08-col_AIRTEMP_MIN_350_0_08)>1="Q";x>col_AIRTEMP_M AX_350_0_08="I";x50="I";xcol_FOURHI="Q";flag_valuechange(x,8, 8,1)="Q";flag_valuechange(x,6.5,6.5,1)="V";(col_AIRTEMP_MAX_450_0_09-col_AIRTEMP_MEAN_45 0_0_09)>1="Q";(col_AIRTEMP_MEAN_450_0_09-col_AIRTEMP_MIN_450_0_09)>1="Q";x>col_AIRTEMP_M AX_450_0_09="I";x50="I";xcol_FOURHI="Q";flag_valuechange(x,8, 8,1)="Q";flag_valuechange(x,6.5,6.5,1)="V";manually-assigned flags column 42. none column 43. isnan(x)="M";x<=-35="I";x>50="I";xcol_FOURHI="Q";flag_valuechange(x,8, 8,1)="Q";flag_valuechange(x,6.5,6.5,1)="V";manually-assigned flags column 44. none column 45. isnan(x)="M";x<=-35="I";x>50="I";xcol_FOURHI="Q";flag_valuechange(x,8, 8,1)="Q";flag_valuechange(x,6.5,6.5,1)="V";manually-assigned flags column 46. none column 47. isnan(x)="M";x<=-35="I";x>50="I";xcol_FOURHI="Q";flag_valuechange(x,8, 8,1)="Q";flag_valuechange(x,6.5,6.5,1)="V";manually-assigned flags column 48. none column 49. isnan(x)="M";x<=-35="I";x>50="I";xcol_FOURHI="Q";flag_valuechange(x,8, 8,1)="Q";flag_valuechange(x,6.5,6.5,1)="V";manually-assigned flags column 50. none column 51. isnan(x)="M";x<=-35="I";x>50="I";xcol_FOURHI="Q";flag_valuechange(x,8, 8,1)="Q";flag_valuechange(x,6.5,6.5,1)="V";manually-assigned flags column 52. none column 53. isnan(x)="M";x<=-35="I";x>50="I";xcol_FOURHI="Q";flag_valuechange(x,8, 8,1)="Q";flag_valuechange(x,6.5,6.5,1)="V";manually-assigned flags column 54. none column 55. isnan(x)="M";x<=-35="I";x>50="I";xcol_FOURHI="Q";flag_valuechange(x,8, 8,1)="Q";flag_valuechange(x,6.5,6.5,1)="V";manually-assigned flags column 56. none column 57. manually-assigned flags column 58. none column 59. none column 60. none column 61. manually-assigned flags column 62. none column 63. manually-assigned flags column 64. none C. Data Anomalies: Values of 4999 records in Site were flagged as M (Missing value) for dates: 11/15/2019, 12/20/2019, 02/03/2020, 03/02/2020, 03/04/2020, 04/17/2020, 04/30/2020, 06/08/2020, 07/16/2020, 09/12/2020-09/29/2020. Values of 4999 records in LOGGERID were flagged as M (Missing value) for dates: 11/15/2019, 12/20/2019, 02/03/2020, 03/02/2020, 03/04/2020, 04/17/2020, 04/30/2020, 06/08/2020, 07/16/2020, 09/12/2020-09/29/2020. Values of 4999 records in PROGID were flagged as M (Missing value) for dates: 11/15/2019, 12/20/2019, 02/03/2020, 03/02/2020, 03/04/2020, 04/17/2020, 04/30/2020, 06/08/2020, 07/16/2020, 09/12/2020-09/29/2020. The value of one record in SWI_MEAN_600_0_02 was flagged as 2 (Questionable low daytime value (SWI < 20.0 W/m² AND TSB < 1.4 °C) - possible snow/frost) for date 10/30/2019. Values of 28698 records in SWI_MEAN_600_0_02 were flagged as E (data value estimated by interpolation) for dates: 10/01/2019, 10/01/2019-10/02/2019, 10/02/2019-10/03/2019, 10/04/2019, 10/05/2019, 10/05/2019-10/06/2019, 10/06/2019-10/07/2019, 10/08/2019, 10/08/2019-10/09/2019, 10/09/2019-10/10/2019, 10/10/2019-10/11/2019, 10/11/2019-10/12/2019, 10/13/2019, 10/13/2019-10/14/2019, 10/14/2019-10/15/2019, 10/15/2019-10/16/2019, 10/17/2019, 10/18/2019, 10/19/2019, 10/20/2019, 10/21/2019, 10/22/2019, 10/22/2019-10/23/2019, 10/23/2019-10/24/2019, 10/24/2019-10/25/2019, 10/25/2019-10/26/2019, 10/26/2019-10/27/2019, 10/27/2019-10/28/2019, 10/28/2019-10/29/2019, 10/29/2019-10/30/2019, 10/30/2019-10/31/2019, 10/31/2019-11/01/2019, 11/01/2019-11/02/2019, 11/02/2019-11/03/2019, 11/03/2019-11/04/2019, 11/04/2019-11/05/2019, 11/05/2019-11/06/2019, 11/06/2019-11/07/2019, 11/07/2019-11/08/2019, 11/08/2019-11/09/2019, 11/09/2019-11/10/2019, 11/10/2019-11/11/2019, 11/11/2019-11/12/2019, 11/12/2019-11/13/2019, 11/13/2019-11/14/2019, 11/14/2019-11/15/2019, 11/16/2019, 11/16/2019-11/17/2019, 11/17/2019-11/18/2019, 11/19/2019, 11/20/2019, 11/21/2019, 11/21/2019-11/22/2019, 11/22/2019-11/23/2019, 11/23/2019-11/24/2019, 11/25/2019, 11/26/2019, 11/27/2019-11/28/2019, 11/28/2019-11/29/2019, 11/29/2019-11/30/2019, 12/01/2019, 12/01/2019-12/02/2019, 12/02/2019-12/03/2019, 12/03/2019-12/04/2019, 12/04/2019-12/05/2019, 12/06/2019, 12/07/2019, 12/08/2019, 12/09/2019, 12/09/2019-12/10/2019, 12/13/2019, 12/13/2019-12/14/2019, 12/15/2019, 12/15/2019-12/16/2019, 12/16/2019-12/17/2019, 12/17/2019-12/18/2019, 12/20/2019, 12/21/2019, 12/22/2019, 12/23/2019, 12/24/2019, 12/25/2019, 12/25/2019-12/26/2019, 12/27/2019, 12/27/2019-12/28/2019, 12/28/2019-12/29/2019, 12/30/2019, 12/31/2019, 01/02/2020, 01/02/2020-01/03/2020, 01/04/2020, 01/04/2020-01/05/2020, 01/06/2020, 01/07/2020, 01/08/2020, 01/09/2020, 01/10/2020, 01/12/2020, 01/13/2020, 01/14/2020, 01/14/2020-01/15/2020, 01/16/2020, 01/16/2020-01/17/2020, 01/19/2020, 01/20/2020, 01/24/2020, 01/28/2020, 01/30/2020, 01/31/2020, 02/01/2020, 02/02/2020, 02/03/2020, 02/03/2020-02/04/2020, 02/08/2020, 02/09/2020, 02/10/2020-02/11/2020, 02/12/2020, 02/12/2020-02/13/2020, 02/14/2020, 02/15/2020, 02/16/2020, 02/17/2020, 02/17/2020-02/18/2020, 02/18/2020-02/19/2020, 02/19/2020-02/20/2020, 02/20/2020-02/21/2020, 02/22/2020, 02/23/2020, 02/24/2020-02/25/2020, 02/25/2020-02/26/2020, 02/26/2020-02/27/2020, 02/27/2020-02/28/2020, 02/29/2020, 03/01/2020, 03/02/2020, 03/03/2020, 03/04/2020, 03/04/2020-03/05/2020, 03/05/2020-03/06/2020, 03/07/2020, 03/07/2020-03/08/2020, 03/09/2020, 03/09/2020-03/10/2020, 03/10/2020-03/11/2020, 03/11/2020-03/12/2020, 03/12/2020-03/13/2020, 03/14/2020, 03/15/2020, 03/15/2020-03/16/2020, 03/16/2020-03/17/2020, 03/18/2020, 03/18/2020-03/19/2020, 03/19/2020-03/20/2020, 03/20/2020-03/21/2020, 03/21/2020-03/22/2020, 03/23/2020, 03/24/2020, 03/25/2020, 03/26/2020, 03/27/2020, 03/28/2020, 03/31/2020, 04/01/2020, 04/02/2020, 04/03/2020, 04/03/2020-04/04/2020, 04/05/2020, 04/06/2020, 04/07/2020, 04/07/2020-04/08/2020, 04/08/2020-04/09/2020, 04/09/2020-04/10/2020, 04/11/2020, 04/11/2020-04/12/2020, 04/12/2020-04/13/2020, 04/13/2020-04/14/2020, 04/14/2020-04/15/2020, 04/15/2020-04/16/2020, 04/16/2020-04/17/2020, 04/17/2020-04/18/2020, 04/18/2020-04/19/2020, 04/19/2020-04/20/2020, 04/21/2020, 04/21/2020-04/22/2020, 04/23/2020, 04/24/2020, 04/24/2020-04/25/2020, 04/26/2020, 04/26/2020-04/27/2020, 04/28/2020, 04/28/2020-04/29/2020, 04/30/2020, 04/30/2020-05/01/2020, 05/01/2020-05/02/2020, 05/03/2020, 05/03/2020-05/04/2020, 05/04/2020-05/05/2020, 05/06/2020, 05/06/2020-05/07/2020, 05/07/2020-05/08/2020, 05/08/2020-05/09/2020, 05/09/2020-05/10/2020, 05/10/2020-05/11/2020, 05/11/2020-05/12/2020, 05/13/2020, 05/14/2020, 05/15/2020, 05/16/2020, 05/17/2020, 05/18/2020, 05/19/2020, 05/20/2020, 05/20/2020-05/21/2020, 05/22/2020, 05/23/2020, 05/23/2020-05/24/2020, 05/24/2020-05/25/2020, 05/25/2020-05/26/2020, 05/26/2020-05/27/2020, 05/27/2020-05/28/2020, 05/28/2020-05/29/2020, 05/29/2020-05/30/2020, 05/31/2020, 05/31/2020-06/01/2020, 06/01/2020-06/02/2020, 06/02/2020-06/03/2020, 06/03/2020-06/04/2020, 06/04/2020-06/05/2020, 06/06/2020, 06/07/2020, 06/08/2020, 06/09/2020, 06/10/2020, 06/10/2020-06/11/2020, 06/12/2020, 06/12/2020-06/13/2020, 06/14/2020, 06/15/2020, 06/16/2020, 06/17/2020, 06/17/2020-06/18/2020, 06/18/2020-06/19/2020, 06/19/2020-06/20/2020, 06/21/2020, 06/21/2020-06/22/2020, 06/22/2020-06/23/2020, 06/23/2020-06/24/2020, 06/24/2020-06/25/2020, 06/25/2020-06/26/2020, 06/26/2020-06/27/2020, 06/27/2020-06/28/2020, 06/29/2020, 06/29/2020-06/30/2020, 06/30/2020-07/01/2020, 07/01/2020-07/02/2020, 07/02/2020-07/03/2020, 07/03/2020-07/04/2020, 07/04/2020-07/05/2020, 07/05/2020-07/06/2020, 07/07/2020, 07/07/2020-07/08/2020, 07/08/2020-07/09/2020, 07/09/2020-07/10/2020, 07/10/2020-07/11/2020, 07/11/2020-07/12/2020, 07/12/2020-07/13/2020, 07/13/2020-07/14/2020, 07/14/2020-07/15/2020, 07/15/2020-07/16/2020, 07/16/2020-07/17/2020, 07/17/2020-07/18/2020, 07/18/2020-07/19/2020, 07/19/2020-07/20/2020, 07/20/2020-07/21/2020, 07/21/2020-07/22/2020, 07/22/2020-07/23/2020, 07/23/2020-07/24/2020, 07/24/2020-07/25/2020, 07/25/2020-07/26/2020, 07/26/2020-07/27/2020, 07/27/2020-07/28/2020, 07/28/2020-07/29/2020, 07/29/2020-07/30/2020, 07/30/2020-07/31/2020, 07/31/2020-08/01/2020, 08/01/2020-08/02/2020, 08/02/2020-08/03/2020, 08/03/2020-08/04/2020, 08/04/2020-08/05/2020, 08/05/2020-08/06/2020, 08/06/2020-08/07/2020, 08/07/2020-08/08/2020, 08/08/2020-08/09/2020, 08/09/2020-08/10/2020, 08/10/2020-08/11/2020, 08/11/2020-08/12/2020, 08/12/2020-08/13/2020, 08/13/2020-08/14/2020, 08/14/2020-08/15/2020, 08/15/2020-08/16/2020, 08/16/2020-08/17/2020, 08/17/2020-08/18/2020, 08/18/2020-08/19/2020, 08/19/2020-08/20/2020, 08/20/2020-08/21/2020, 08/22/2020, 08/22/2020-08/23/2020, 08/23/2020-08/24/2020, 08/24/2020-08/25/2020, 08/25/2020-08/26/2020, 08/26/2020-08/27/2020, 08/27/2020-08/28/2020, 08/28/2020-08/29/2020, 08/29/2020-08/30/2020, 08/30/2020-08/31/2020, 08/31/2020-09/01/2020, 09/01/2020-09/02/2020, 09/02/2020-09/03/2020, 09/03/2020-09/04/2020, 09/04/2020-09/05/2020, 09/05/2020-09/06/2020, 09/06/2020-09/07/2020, 09/07/2020-09/08/2020, 09/08/2020-09/09/2020, 09/09/2020-09/10/2020, 09/10/2020-09/11/2020, 09/29/2020-09/30/2020, 09/30/2020-10/01/2020. Values of 4999 records in SWI_MEAN_600_0_02 were flagged as M (Missing value) for dates: 11/15/2019, 12/20/2019, 02/03/2020, 03/02/2020, 03/04/2020, 04/17/2020, 04/30/2020, 06/08/2020, 07/16/2020, 09/12/2020-09/29/2020. Values of 58 records in SWI_MEAN_600_0_02 were flagged as Q (questionable value) for dates: 03/25/2020, 03/26/2020, 04/20/2020, 04/23/2020, 05/04/2020, 05/06/2020, 05/21/2020, 05/22/2020, 05/24/2020, 05/26/2020, 05/31/2020, 06/06/2020, 06/07/2020, 06/14/2020, 06/28/2020, 06/30/2020, 07/01/2020, 07/09/2020. Values of 4999 records in SWI_MEAN_600_0_02 are missing for dates: 11/15/2019, 12/20/2019, 02/03/2020, 03/02/2020, 03/04/2020, 04/17/2020, 04/30/2020, 06/08/2020, 07/16/2020, 09/12/2020-09/29/2020. Values of 4999 records in SWO_MEAN_600_0_02 were flagged as M (Missing value) for dates: 11/15/2019, 12/20/2019, 02/03/2020, 03/02/2020, 03/04/2020, 04/17/2020, 04/30/2020, 06/08/2020, 07/16/2020, 09/12/2020-09/29/2020. Values of 4999 records in SWO_MEAN_600_0_02 are missing for dates: 11/15/2019, 12/20/2019, 02/03/2020, 03/02/2020, 03/04/2020, 04/17/2020, 04/30/2020, 06/08/2020, 07/16/2020, 09/12/2020-09/29/2020. Values of 4999 records in LWI_MEAN_600_0_02 were flagged as M (Missing value) for dates: 11/15/2019, 12/20/2019, 02/03/2020, 03/02/2020, 03/04/2020, 04/17/2020, 04/30/2020, 06/08/2020, 07/16/2020, 09/12/2020-09/29/2020. Values of 4999 records in LWI_MEAN_600_0_02 are missing for dates: 11/15/2019, 12/20/2019, 02/03/2020, 03/02/2020, 03/04/2020, 04/17/2020, 04/30/2020, 06/08/2020, 07/16/2020, 09/12/2020-09/29/2020. Values of 4999 records in LWO_MEAN_600_0_02 were flagged as M (Missing value) for dates: 11/15/2019, 12/20/2019, 02/03/2020, 03/02/2020, 03/04/2020, 04/17/2020, 04/30/2020, 06/08/2020, 07/16/2020, 09/12/2020-09/29/2020. Values of 4999 records in LWO_MEAN_600_0_02 are missing for dates: 11/15/2019, 12/20/2019, 02/03/2020, 03/02/2020, 03/04/2020, 04/17/2020, 04/30/2020, 06/08/2020, 07/16/2020, 09/12/2020-09/29/2020. The value of one record in NRT_MEAN_600_0_02 was flagged as 2 (Questionable low daytime value (SWI < 20.0 W/m² AND TSB < 1.4 °C) - possible snow/frost) for date 10/30/2019. Values of 28698 records in NRT_MEAN_600_0_02 were flagged as E (data value estimated by interpolation) for dates: 10/01/2019, 10/01/2019-10/02/2019, 10/02/2019-10/03/2019, 10/04/2019, 10/05/2019, 10/05/2019-10/06/2019, 10/06/2019-10/07/2019, 10/08/2019, 10/08/2019-10/09/2019, 10/09/2019-10/10/2019, 10/10/2019-10/11/2019, 10/11/2019-10/12/2019, 10/13/2019, 10/13/2019-10/14/2019, 10/14/2019-10/15/2019, 10/15/2019-10/16/2019, 10/17/2019, 10/18/2019, 10/19/2019, 10/20/2019, 10/21/2019, 10/22/2019, 10/22/2019-10/23/2019, 10/23/2019-10/24/2019, 10/24/2019-10/25/2019, 10/25/2019-10/26/2019, 10/26/2019-10/27/2019, 10/27/2019-10/28/2019, 10/28/2019-10/29/2019, 10/29/2019-10/30/2019, 10/30/2019-10/31/2019, 10/31/2019-11/01/2019, 11/01/2019-11/02/2019, 11/02/2019-11/03/2019, 11/03/2019-11/04/2019, 11/04/2019-11/05/2019, 11/05/2019-11/06/2019, 11/06/2019-11/07/2019, 11/07/2019-11/08/2019, 11/08/2019-11/09/2019, 11/09/2019-11/10/2019, 11/10/2019-11/11/2019, 11/11/2019-11/12/2019, 11/12/2019-11/13/2019, 11/13/2019-11/14/2019, 11/14/2019-11/15/2019, 11/16/2019, 11/16/2019-11/17/2019, 11/17/2019-11/18/2019, 11/19/2019, 11/20/2019, 11/21/2019, 11/21/2019-11/22/2019, 11/22/2019-11/23/2019, 11/23/2019-11/24/2019, 11/25/2019, 11/26/2019, 11/27/2019-11/28/2019, 11/28/2019-11/29/2019, 11/29/2019-11/30/2019, 12/01/2019, 12/01/2019-12/02/2019, 12/02/2019-12/03/2019, 12/03/2019-12/04/2019, 12/04/2019-12/05/2019, 12/06/2019, 12/07/2019, 12/08/2019, 12/09/2019, 12/09/2019-12/10/2019, 12/13/2019, 12/13/2019-12/14/2019, 12/15/2019, 12/15/2019-12/16/2019, 12/16/2019-12/17/2019, 12/17/2019-12/18/2019, 12/20/2019, 12/21/2019, 12/22/2019, 12/23/2019, 12/24/2019, 12/25/2019, 12/25/2019-12/26/2019, 12/27/2019, 12/27/2019-12/28/2019, 12/28/2019-12/29/2019, 12/30/2019, 12/31/2019, 01/02/2020, 01/02/2020-01/03/2020, 01/04/2020, 01/04/2020-01/05/2020, 01/06/2020, 01/07/2020, 01/08/2020, 01/09/2020, 01/10/2020, 01/12/2020, 01/13/2020, 01/14/2020, 01/14/2020-01/15/2020, 01/16/2020, 01/16/2020-01/17/2020, 01/19/2020, 01/20/2020, 01/24/2020, 01/28/2020, 01/30/2020, 01/31/2020, 02/01/2020, 02/02/2020, 02/03/2020, 02/03/2020-02/04/2020, 02/08/2020, 02/09/2020, 02/10/2020-02/11/2020, 02/12/2020, 02/12/2020-02/13/2020, 02/14/2020, 02/15/2020, 02/16/2020, 02/17/2020, 02/17/2020-02/18/2020, 02/18/2020-02/19/2020, 02/19/2020-02/20/2020, 02/20/2020-02/21/2020, 02/22/2020, 02/23/2020, 02/24/2020-02/25/2020, 02/25/2020-02/26/2020, 02/26/2020-02/27/2020, 02/27/2020-02/28/2020, 02/29/2020, 03/01/2020, 03/02/2020, 03/03/2020, 03/04/2020, 03/04/2020-03/05/2020, 03/05/2020-03/06/2020, 03/07/2020, 03/07/2020-03/08/2020, 03/09/2020, 03/09/2020-03/10/2020, 03/10/2020-03/11/2020, 03/11/2020-03/12/2020, 03/12/2020-03/13/2020, 03/14/2020, 03/15/2020, 03/15/2020-03/16/2020, 03/16/2020-03/17/2020, 03/18/2020, 03/18/2020-03/19/2020, 03/19/2020-03/20/2020, 03/20/2020-03/21/2020, 03/21/2020-03/22/2020, 03/23/2020, 03/24/2020, 03/25/2020, 03/26/2020, 03/27/2020, 03/28/2020, 03/31/2020, 04/01/2020, 04/02/2020, 04/03/2020, 04/03/2020-04/04/2020, 04/05/2020, 04/06/2020, 04/07/2020, 04/07/2020-04/08/2020, 04/08/2020-04/09/2020, 04/09/2020-04/10/2020, 04/11/2020, 04/11/2020-04/12/2020, 04/12/2020-04/13/2020, 04/13/2020-04/14/2020, 04/14/2020-04/15/2020, 04/15/2020-04/16/2020, 04/16/2020-04/17/2020, 04/17/2020-04/18/2020, 04/18/2020-04/19/2020, 04/19/2020-04/20/2020, 04/21/2020, 04/21/2020-04/22/2020, 04/23/2020, 04/24/2020, 04/24/2020-04/25/2020, 04/26/2020, 04/26/2020-04/27/2020, 04/28/2020, 04/28/2020-04/29/2020, 04/30/2020, 04/30/2020-05/01/2020, 05/01/2020-05/02/2020, 05/03/2020, 05/03/2020-05/04/2020, 05/04/2020-05/05/2020, 05/06/2020, 05/06/2020-05/07/2020, 05/07/2020-05/08/2020, 05/08/2020-05/09/2020, 05/09/2020-05/10/2020, 05/10/2020-05/11/2020, 05/11/2020-05/12/2020, 05/13/2020, 05/14/2020, 05/15/2020, 05/16/2020, 05/17/2020, 05/18/2020, 05/19/2020, 05/20/2020, 05/20/2020-05/21/2020, 05/22/2020, 05/23/2020, 05/23/2020-05/24/2020, 05/24/2020-05/25/2020, 05/25/2020-05/26/2020, 05/26/2020-05/27/2020, 05/27/2020-05/28/2020, 05/28/2020-05/29/2020, 05/29/2020-05/30/2020, 05/31/2020, 05/31/2020-06/01/2020, 06/01/2020-06/02/2020, 06/02/2020-06/03/2020, 06/03/2020-06/04/2020, 06/04/2020-06/05/2020, 06/06/2020, 06/07/2020, 06/08/2020, 06/09/2020, 06/10/2020, 06/10/2020-06/11/2020, 06/12/2020, 06/12/2020-06/13/2020, 06/14/2020, 06/15/2020, 06/16/2020, 06/17/2020, 06/17/2020-06/18/2020, 06/18/2020-06/19/2020, 06/19/2020-06/20/2020, 06/21/2020, 06/21/2020-06/22/2020, 06/22/2020-06/23/2020, 06/23/2020-06/24/2020, 06/24/2020-06/25/2020, 06/25/2020-06/26/2020, 06/26/2020-06/27/2020, 06/27/2020-06/28/2020, 06/29/2020, 06/29/2020-06/30/2020, 06/30/2020-07/01/2020, 07/01/2020-07/02/2020, 07/02/2020-07/03/2020, 07/03/2020-07/04/2020, 07/04/2020-07/05/2020, 07/05/2020-07/06/2020, 07/07/2020, 07/07/2020-07/08/2020, 07/08/2020-07/09/2020, 07/09/2020-07/10/2020, 07/10/2020-07/11/2020, 07/11/2020-07/12/2020, 07/12/2020-07/13/2020, 07/13/2020-07/14/2020, 07/14/2020-07/15/2020, 07/15/2020-07/16/2020, 07/16/2020-07/17/2020, 07/17/2020-07/18/2020, 07/18/2020-07/19/2020, 07/19/2020-07/20/2020, 07/20/2020-07/21/2020, 07/21/2020-07/22/2020, 07/22/2020-07/23/2020, 07/23/2020-07/24/2020, 07/24/2020-07/25/2020, 07/25/2020-07/26/2020, 07/26/2020-07/27/2020, 07/27/2020-07/28/2020, 07/28/2020-07/29/2020, 07/29/2020-07/30/2020, 07/30/2020-07/31/2020, 07/31/2020-08/01/2020, 08/01/2020-08/02/2020, 08/02/2020-08/03/2020, 08/03/2020-08/04/2020, 08/04/2020-08/05/2020, 08/05/2020-08/06/2020, 08/06/2020-08/07/2020, 08/07/2020-08/08/2020, 08/08/2020-08/09/2020, 08/09/2020-08/10/2020, 08/10/2020-08/11/2020, 08/11/2020-08/12/2020, 08/12/2020-08/13/2020, 08/13/2020-08/14/2020, 08/14/2020-08/15/2020, 08/15/2020-08/16/2020, 08/16/2020-08/17/2020, 08/17/2020-08/18/2020, 08/18/2020-08/19/2020, 08/19/2020-08/20/2020, 08/20/2020-08/21/2020, 08/22/2020, 08/22/2020-08/23/2020, 08/23/2020-08/24/2020, 08/24/2020-08/25/2020, 08/25/2020-08/26/2020, 08/26/2020-08/27/2020, 08/27/2020-08/28/2020, 08/28/2020-08/29/2020, 08/29/2020-08/30/2020, 08/30/2020-08/31/2020, 08/31/2020-09/01/2020, 09/01/2020-09/02/2020, 09/02/2020-09/03/2020, 09/03/2020-09/04/2020, 09/04/2020-09/05/2020, 09/05/2020-09/06/2020, 09/06/2020-09/07/2020, 09/07/2020-09/08/2020, 09/08/2020-09/09/2020, 09/09/2020-09/10/2020, 09/10/2020-09/11/2020, 09/29/2020-09/30/2020, 09/30/2020-10/01/2020. Values of 4999 records in NRT_MEAN_600_0_02 were flagged as M (Missing value) for dates: 11/15/2019, 12/20/2019, 02/03/2020, 03/02/2020, 03/04/2020, 04/17/2020, 04/30/2020, 06/08/2020, 07/16/2020, 09/12/2020-09/29/2020. Values of 58 records in NRT_MEAN_600_0_02 were flagged as Q (questionable value) for dates: 03/25/2020, 03/26/2020, 04/20/2020, 04/23/2020, 05/04/2020, 05/06/2020, 05/21/2020, 05/22/2020, 05/24/2020, 05/26/2020, 05/31/2020, 06/06/2020, 06/07/2020, 06/14/2020, 06/28/2020, 06/30/2020, 07/01/2020, 07/09/2020. Values of 4999 records in NRT_MEAN_600_0_02 are missing for dates: 11/15/2019, 12/20/2019, 02/03/2020, 03/02/2020, 03/04/2020, 04/17/2020, 04/30/2020, 06/08/2020, 07/16/2020, 09/12/2020-09/29/2020. Values of 4999 records in LWI_AVG_[]_[]_[] were flagged as M (Missing value) for dates: 11/15/2019, 12/20/2019, 02/03/2020, 03/02/2020, 03/04/2020, 04/17/2020, 04/30/2020, 06/08/2020, 07/16/2020, 09/12/2020-09/29/2020. Values of 4999 records in LWI_AVG_[]_[]_[] are missing for dates: 11/15/2019, 12/20/2019, 02/03/2020, 03/02/2020, 03/04/2020, 04/17/2020, 04/30/2020, 06/08/2020, 07/16/2020, 09/12/2020-09/29/2020. Values of 4999 records in LWO_AVG_[]_[]_[] were flagged as M (Missing value) for dates: 11/15/2019, 12/20/2019, 02/03/2020, 03/02/2020, 03/04/2020, 04/17/2020, 04/30/2020, 06/08/2020, 07/16/2020, 09/12/2020-09/29/2020. Values of 4999 records in LWO_AVG_[]_[]_[] are missing for dates: 11/15/2019, 12/20/2019, 02/03/2020, 03/02/2020, 03/04/2020, 04/17/2020, 04/30/2020, 06/08/2020, 07/16/2020, 09/12/2020-09/29/2020. Values of 4999 records in TSB_MEAN_600_0_02 were flagged as M (Missing value) for dates: 11/15/2019, 12/20/2019, 02/03/2020, 03/02/2020, 03/04/2020, 04/17/2020, 04/30/2020, 06/08/2020, 07/16/2020, 09/12/2020-09/29/2020. Values of 4999 records in TSB_MEAN_600_0_02 are missing for dates: 11/15/2019, 12/20/2019, 02/03/2020, 03/02/2020, 03/04/2020, 04/17/2020, 04/30/2020, 06/08/2020, 07/16/2020, 09/12/2020-09/29/2020. Values of 4999 records in NR01TK_Avg_[]_[]_[]_[] were flagged as M (Missing value) for dates: 11/15/2019, 12/20/2019, 02/03/2020, 03/02/2020, 03/04/2020, 04/17/2020, 04/30/2020, 06/08/2020, 07/16/2020, 09/12/2020-09/29/2020. Values of 4999 records in NR01TK_Avg_[]_[]_[]_[] are missing for dates: 11/15/2019, 12/20/2019, 02/03/2020, 03/02/2020, 03/04/2020, 04/17/2020, 04/30/2020, 06/08/2020, 07/16/2020, 09/12/2020-09/29/2020. Values of 4999 records in NRS_AVG_[]_[]_[] were flagged as M (Missing value) for dates: 11/15/2019, 12/20/2019, 02/03/2020, 03/02/2020, 03/04/2020, 04/17/2020, 04/30/2020, 06/08/2020, 07/16/2020, 09/12/2020-09/29/2020. Values of 4999 records in NRS_AVG_[]_[]_[] are missing for dates: 11/15/2019, 12/20/2019, 02/03/2020, 03/02/2020, 03/04/2020, 04/17/2020, 04/30/2020, 06/08/2020, 07/16/2020, 09/12/2020-09/29/2020. Values of 4999 records in NRL_AVG_[]_[]_[] were flagged as M (Missing value) for dates: 11/15/2019, 12/20/2019, 02/03/2020, 03/02/2020, 03/04/2020, 04/17/2020, 04/30/2020, 06/08/2020, 07/16/2020, 09/12/2020-09/29/2020. Values of 4999 records in NRL_AVG_[]_[]_[] are missing for dates: 11/15/2019, 12/20/2019, 02/03/2020, 03/02/2020, 03/04/2020, 04/17/2020, 04/30/2020, 06/08/2020, 07/16/2020, 09/12/2020-09/29/2020. Values of 5317 records in SW_ALBEDO_[]_600_0_02 were flagged as M (Missing value) for dates: 10/04/2019, 10/05/2019, 10/06/2019, 10/08/2019, 10/12/2019, 10/13/2019, 10/14/2019, 10/16/2019, 10/17/2019, 10/19/2019, 10/22/2019, 10/23/2019, 10/26/2019, 10/28/2019, 10/30/2019, 11/01/2019, 11/02/2019, 11/04/2019, 11/07/2019, 11/09/2019, 11/11/2019, 11/12/2019, 11/13/2019, 11/14/2019, 11/15/2019, 11/16/2019, 11/17/2019, 11/18/2019, 11/19/2019, 11/21/2019, 11/22/2019, 11/24/2019, 11/25/2019, 11/26/2019, 11/27/2019, 11/28/2019, 11/30/2019, 12/01/2019, 12/02/2019, 12/04/2019, 12/06/2019, 12/07/2019, 12/09/2019, 12/11/2019, 12/12/2019, 12/14/2019, 12/15/2019, 12/17/2019, 12/18/2019, 12/19/2019, 12/20/2019, 12/21/2019, 12/23/2019, 12/24/2019, 12/25/2019, 12/26/2019, 12/27/2019, 12/28/2019, 12/29/2019, 12/30/2019, 01/01/2020, 01/02/2020, 01/03/2020, 01/05/2020, 01/06/2020, 01/09/2020, 01/10/2020, 01/11/2020, 01/12/2020, 01/13/2020, 01/14/2020, 01/16/2020, 01/17/2020, 01/18/2020, 01/19/2020, 01/21/2020, 01/22/2020, 01/23/2020, 01/26/2020, 01/28/2020, 01/29/2020, 02/03/2020, 02/04/2020, 02/05/2020, 02/06/2020, 02/08/2020, 02/13/2020, 02/15/2020, 02/17/2020, 02/18/2020, 02/19/2020, 02/20/2020, 02/21/2020, 02/22/2020, 02/23/2020, 02/25/2020, 02/26/2020, 02/27/2020, 03/02/2020, 03/03/2020, 03/04/2020, 03/05/2020, 03/07/2020, 03/10/2020, 03/11/2020, 03/13/2020, 03/15/2020, 03/16/2020, 03/17/2020, 03/18/2020, 03/19/2020, 03/20/2020, 03/21/2020, 03/25/2020, 03/26/2020, 03/27/2020, 03/28/2020, 03/30/2020, 03/31/2020, 04/01/2020, 04/03/2020, 04/04/2020, 04/06/2020, 04/08/2020, 04/09/2020, 04/10/2020, 04/11/2020, 04/12/2020, 04/15/2020, 04/17/2020, 04/18/2020, 04/19/2020, 04/20/2020, 04/22/2020, 04/23/2020, 04/24/2020, 04/25/2020, 04/28/2020, 04/30/2020, 05/01/2020, 05/02/2020, 05/03/2020, 05/04/2020, 05/06/2020, 05/09/2020, 05/10/2020, 05/11/2020, 05/12/2020, 05/13/2020, 05/18/2020, 05/19/2020, 05/20/2020, 05/21/2020, 05/22/2020, 05/24/2020, 05/25/2020, 05/27/2020, 05/28/2020, 05/30/2020, 05/31/2020, 06/02/2020, 06/04/2020, 06/06/2020, 06/07/2020, 06/08/2020, 06/09/2020, 06/10/2020, 06/12/2020, 06/13/2020, 06/15/2020, 06/16/2020, 06/17/2020, 06/18/2020, 06/21/2020, 06/23/2020, 06/24/2020, 06/25/2020, 06/26/2020, 07/02/2020, 07/03/2020, 07/04/2020, 07/05/2020, 07/06/2020, 07/08/2020, 07/09/2020, 07/10/2020, 07/11/2020, 07/13/2020, 07/14/2020, 07/15/2020, 07/16/2020, 07/17/2020, 07/18/2020, 07/19/2020, 07/22/2020, 07/23/2020, 07/24/2020, 07/25/2020, 07/27/2020, 07/28/2020, 08/02/2020, 08/03/2020, 08/07/2020, 08/08/2020, 08/09/2020, 08/10/2020, 08/11/2020, 08/13/2020, 08/14/2020, 08/18/2020, 08/19/2020, 08/22/2020, 08/25/2020, 08/26/2020, 08/27/2020, 08/28/2020, 08/29/2020, 08/30/2020, 08/31/2020, 09/01/2020, 09/02/2020, 09/03/2020, 09/04/2020, 09/06/2020, 09/09/2020, 09/10/2020, 09/11/2020, 09/12/2020-09/29/2020. Values of 11868 records in SW_ALBEDO_[]_600_0_02 were flagged as Q (questionable value) for dates: 10/01/2019, 10/02/2019, 10/03/2019, 10/04/2019, 10/05/2019, 10/06/2019, 10/07/2019, 10/08/2019, 10/09/2019, 10/10/2019, 10/11/2019, 10/12/2019, 10/13/2019, 10/14/2019, 10/15/2019, 10/16/2019, 10/17/2019, 10/18/2019, 10/19/2019, 10/20/2019, 10/21/2019, 10/22/2019, 10/23/2019, 10/24/2019, 10/25/2019, 10/26/2019, 10/27/2019, 10/28/2019, 10/29/2019, 10/30/2019, 10/31/2019, 11/01/2019, 11/02/2019, 11/03/2019, 11/04/2019, 11/05/2019, 11/06/2019, 11/07/2019, 11/08/2019, 11/09/2019, 11/10/2019, 11/11/2019, 11/12/2019, 11/13/2019, 11/14/2019, 11/15/2019, 11/16/2019, 11/17/2019, 11/18/2019, 11/19/2019, 11/20/2019, 11/21/2019, 11/22/2019, 11/23/2019, 11/24/2019, 11/25/2019, 11/26/2019, 11/27/2019, 11/28/2019, 11/29/2019, 11/30/2019, 12/01/2019, 12/02/2019, 12/03/2019, 12/04/2019, 12/05/2019, 12/06/2019, 12/07/2019, 12/08/2019, 12/09/2019, 12/10/2019, 12/11/2019, 12/12/2019, 12/13/2019, 12/14/2019, 12/15/2019, 12/16/2019, 12/17/2019, 12/18/2019, 12/19/2019, 12/20/2019, 12/21/2019, 12/22/2019, 12/23/2019, 12/24/2019, 12/25/2019, 12/26/2019, 12/27/2019, 12/28/2019, 12/29/2019, 12/30/2019, 12/31/2019, 01/01/2020, 01/02/2020, 01/03/2020, 01/04/2020, 01/05/2020, 01/06/2020, 01/07/2020, 01/08/2020, 01/09/2020, 01/10/2020, 01/11/2020, 01/12/2020, 01/13/2020, 01/14/2020, 01/15/2020, 01/16/2020, 01/17/2020, 01/18/2020, 01/19/2020, 01/20/2020, 01/21/2020, 01/22/2020, 01/22/2020-01/23/2020, 01/23/2020-01/24/2020, 01/24/2020-01/25/2020, 01/25/2020-01/26/2020, 01/27/2020, 01/28/2020, 01/29/2020, 01/30/2020, 01/31/2020, 02/01/2020, 02/02/2020, 02/03/2020, 02/04/2020, 02/05/2020, 02/06/2020, 02/07/2020, 02/08/2020, 02/09/2020, 02/10/2020, 02/11/2020, 02/12/2020, 02/13/2020, 02/14/2020, 02/15/2020, 02/16/2020, 02/17/2020, 02/18/2020, 02/19/2020, 02/20/2020, 02/21/2020, 02/22/2020, 02/23/2020, 02/24/2020, 02/25/2020, 02/26/2020, 02/27/2020, 02/28/2020, 02/29/2020, 03/01/2020, 03/02/2020, 03/03/2020, 03/04/2020, 03/05/2020, 03/06/2020, 03/07/2020, 03/08/2020, 03/09/2020, 03/10/2020, 03/11/2020, 03/12/2020, 03/13/2020, 03/14/2020, 03/15/2020, 03/16/2020, 03/17/2020, 03/18/2020, 03/19/2020, 03/20/2020, 03/21/2020, 03/22/2020, 03/23/2020, 03/24/2020, 03/25/2020, 03/26/2020, 03/27/2020, 03/28/2020, 03/29/2020, 03/30/2020, 03/31/2020, 04/01/2020, 04/02/2020, 04/03/2020, 04/04/2020, 04/05/2020, 04/06/2020, 04/07/2020, 04/08/2020, 04/09/2020, 04/10/2020, 04/11/2020, 04/12/2020, 04/13/2020, 04/14/2020, 04/15/2020, 04/16/2020, 04/17/2020, 04/18/2020, 04/19/2020, 04/20/2020, 04/21/2020, 04/22/2020, 04/23/2020, 04/24/2020, 04/25/2020, 04/26/2020, 04/27/2020, 04/28/2020, 04/29/2020, 04/30/2020, 05/01/2020, 05/02/2020, 05/03/2020, 05/04/2020, 05/05/2020, 05/06/2020, 05/07/2020, 05/08/2020, 05/09/2020, 05/10/2020, 05/11/2020, 05/12/2020, 05/13/2020, 05/14/2020, 05/15/2020, 05/16/2020, 05/17/2020, 05/18/2020, 05/19/2020, 05/20/2020, 05/21/2020, 05/22/2020, 05/23/2020, 05/24/2020, 05/25/2020, 05/26/2020, 05/27/2020, 05/28/2020, 05/29/2020, 05/30/2020, 05/31/2020, 06/01/2020, 06/02/2020, 06/03/2020, 06/04/2020, 06/05/2020, 06/06/2020, 06/07/2020, 06/08/2020, 06/09/2020, 06/10/2020, 06/11/2020, 06/12/2020, 06/13/2020, 06/14/2020, 06/15/2020, 06/16/2020, 06/17/2020, 06/18/2020, 06/19/2020, 06/20/2020, 06/21/2020, 06/22/2020, 06/23/2020, 06/24/2020, 06/25/2020, 06/26/2020, 06/27/2020, 06/28/2020, 06/29/2020, 06/30/2020, 07/01/2020, 07/02/2020, 07/03/2020, 07/04/2020, 07/05/2020, 07/06/2020, 07/07/2020, 07/08/2020, 07/09/2020, 07/10/2020, 07/11/2020, 07/12/2020, 07/13/2020, 07/14/2020, 07/15/2020, 07/16/2020, 07/17/2020, 07/18/2020, 07/19/2020, 07/20/2020, 07/21/2020, 07/22/2020, 07/23/2020, 07/24/2020, 07/25/2020, 07/26/2020, 07/27/2020, 07/28/2020, 07/29/2020, 07/30/2020, 07/31/2020, 08/01/2020, 08/02/2020, 08/03/2020, 08/04/2020, 08/05/2020, 08/06/2020, 08/07/2020, 08/08/2020, 08/09/2020, 08/10/2020, 08/11/2020, 08/12/2020, 08/13/2020, 08/14/2020, 08/15/2020, 08/16/2020, 08/17/2020, 08/18/2020, 08/19/2020, 08/20/2020, 08/21/2020, 08/22/2020, 08/23/2020, 08/24/2020, 08/25/2020, 08/26/2020, 08/27/2020, 08/28/2020, 08/29/2020, 08/30/2020, 08/31/2020, 09/01/2020, 09/02/2020, 09/03/2020, 09/04/2020, 09/05/2020, 09/06/2020, 09/07/2020, 09/08/2020, 09/09/2020, 09/10/2020, 09/11/2020, 09/29/2020, 09/30/2020. Values of 5317 records in SW_ALBEDO_[]_600_0_02 are missing for dates: 10/04/2019, 10/05/2019, 10/06/2019, 10/08/2019, 10/12/2019, 10/13/2019, 10/14/2019, 10/16/2019, 10/17/2019, 10/19/2019, 10/22/2019, 10/23/2019, 10/26/2019, 10/28/2019, 10/30/2019, 11/01/2019, 11/02/2019, 11/04/2019, 11/07/2019, 11/09/2019, 11/11/2019, 11/12/2019, 11/13/2019, 11/14/2019, 11/15/2019, 11/16/2019, 11/17/2019, 11/18/2019, 11/19/2019, 11/21/2019, 11/22/2019, 11/24/2019, 11/25/2019, 11/26/2019, 11/27/2019, 11/28/2019, 11/30/2019, 12/01/2019, 12/02/2019, 12/04/2019, 12/06/2019, 12/07/2019, 12/09/2019, 12/11/2019, 12/12/2019, 12/14/2019, 12/15/2019, 12/17/2019, 12/18/2019, 12/19/2019, 12/20/2019, 12/21/2019, 12/23/2019, 12/24/2019, 12/25/2019, 12/26/2019, 12/27/2019, 12/28/2019, 12/29/2019, 12/30/2019, 01/01/2020, 01/02/2020, 01/03/2020, 01/05/2020, 01/06/2020, 01/09/2020, 01/10/2020, 01/11/2020, 01/12/2020, 01/13/2020, 01/14/2020, 01/16/2020, 01/17/2020, 01/18/2020, 01/19/2020, 01/21/2020, 01/22/2020, 01/23/2020, 01/26/2020, 01/28/2020, 01/29/2020, 02/03/2020, 02/04/2020, 02/05/2020, 02/06/2020, 02/08/2020, 02/13/2020, 02/15/2020, 02/17/2020, 02/18/2020, 02/19/2020, 02/20/2020, 02/21/2020, 02/22/2020, 02/23/2020, 02/25/2020, 02/26/2020, 02/27/2020, 03/02/2020, 03/03/2020, 03/04/2020, 03/05/2020, 03/07/2020, 03/10/2020, 03/11/2020, 03/13/2020, 03/15/2020, 03/16/2020, 03/17/2020, 03/18/2020, 03/19/2020, 03/20/2020, 03/21/2020, 03/25/2020, 03/26/2020, 03/27/2020, 03/28/2020, 03/30/2020, 03/31/2020, 04/01/2020, 04/03/2020, 04/04/2020, 04/06/2020, 04/08/2020, 04/09/2020, 04/10/2020, 04/11/2020, 04/12/2020, 04/15/2020, 04/17/2020, 04/18/2020, 04/19/2020, 04/20/2020, 04/22/2020, 04/23/2020, 04/24/2020, 04/25/2020, 04/28/2020, 04/30/2020, 05/01/2020, 05/02/2020, 05/03/2020, 05/04/2020, 05/06/2020, 05/09/2020, 05/10/2020, 05/11/2020, 05/12/2020, 05/13/2020, 05/18/2020, 05/19/2020, 05/20/2020, 05/21/2020, 05/22/2020, 05/24/2020, 05/25/2020, 05/27/2020, 05/28/2020, 05/30/2020, 05/31/2020, 06/02/2020, 06/04/2020, 06/06/2020, 06/07/2020, 06/08/2020, 06/09/2020, 06/10/2020, 06/12/2020, 06/13/2020, 06/15/2020, 06/16/2020, 06/17/2020, 06/18/2020, 06/21/2020, 06/23/2020, 06/24/2020, 06/25/2020, 06/26/2020, 07/02/2020, 07/03/2020, 07/04/2020, 07/05/2020, 07/06/2020, 07/08/2020, 07/09/2020, 07/10/2020, 07/11/2020, 07/13/2020, 07/14/2020, 07/15/2020, 07/16/2020, 07/17/2020, 07/18/2020, 07/19/2020, 07/22/2020, 07/23/2020, 07/24/2020, 07/25/2020, 07/27/2020, 07/28/2020, 08/02/2020, 08/03/2020, 08/07/2020, 08/08/2020, 08/09/2020, 08/10/2020, 08/11/2020, 08/13/2020, 08/14/2020, 08/18/2020, 08/19/2020, 08/22/2020, 08/25/2020, 08/26/2020, 08/27/2020, 08/28/2020, 08/29/2020, 08/30/2020, 08/31/2020, 09/01/2020, 09/02/2020, 09/03/2020, 09/04/2020, 09/06/2020, 09/09/2020, 09/10/2020, 09/11/2020, 09/12/2020-09/29/2020. Values of 4999 records in IN_AVG were flagged as M (Missing value) for dates: 11/15/2019, 12/20/2019, 02/03/2020, 03/02/2020, 03/04/2020, 04/17/2020, 04/30/2020, 06/08/2020, 07/16/2020, 09/12/2020-09/29/2020. Values of 4999 records in IN_AVG are missing for dates: 11/15/2019, 12/20/2019, 02/03/2020, 03/02/2020, 03/04/2020, 04/17/2020, 04/30/2020, 06/08/2020, 07/16/2020, 09/12/2020-09/29/2020. Values of 4999 records in OUT_AVG_[]_[]_[]_[] were flagged as M (Missing value) for dates: 11/15/2019, 12/20/2019, 02/03/2020, 03/02/2020, 03/04/2020, 04/17/2020, 04/30/2020, 06/08/2020, 07/16/2020, 09/12/2020-09/29/2020. Values of 4999 records in OUT_AVG_[]_[]_[]_[] are missing for dates: 11/15/2019, 12/20/2019, 02/03/2020, 03/02/2020, 03/04/2020, 04/17/2020, 04/30/2020, 06/08/2020, 07/16/2020, 09/12/2020-09/29/2020. Values of 9 records in AIRTEMP_MEAN_150_0_06 were flagged as E (data value estimated by interpolation) for dates: 11/15/2019, 12/20/2019, 02/03/2020, 03/02/2020, 03/04/2020, 04/17/2020, 04/30/2020, 06/08/2020, 07/16/2020. Values of 4990 records in AIRTEMP_MEAN_150_0_06 were flagged as M (Missing value) for dates: 09/12/2020-09/29/2020. Values of 300 records in AIRTEMP_MEAN_150_0_06 were flagged as Q (questionable value) for dates: 10/01/2019, 10/03/2019, 10/09/2019, 10/15/2019, 10/25/2019, 10/27/2019, 10/28/2019, 10/29/2019, 11/20/2019, 11/21/2019, 02/06/2020, 02/22/2020, 02/26/2020, 02/28/2020, 03/04/2020, 03/05/2020, 03/09/2020, 03/11/2020, 03/16/2020, 03/17/2020, 03/18/2020, 03/19/2020, 03/21/2020, 03/22/2020, 03/25/2020, 03/31/2020, 04/02/2020, 04/09/2020, 04/11/2020, 04/13/2020, 04/14/2020, 04/16/2020, 04/17/2020, 04/26/2020, 04/28/2020, 04/30/2020, 05/03/2020, 05/04/2020, 05/05/2020, 05/06/2020, 05/07/2020, 05/08/2020, 05/09/2020, 05/10/2020, 05/11/2020, 05/15/2020, 05/17/2020, 05/22/2020, 05/23/2020, 05/24/2020, 05/26/2020, 05/27/2020, 05/28/2020, 06/02/2020, 06/10/2020, 06/14/2020, 06/17/2020, 06/18/2020, 06/19/2020, 06/21/2020, 06/22/2020, 06/23/2020, 06/26/2020, 06/29/2020, 07/02/2020, 07/06/2020, 07/14/2020, 07/15/2020, 07/22/2020, 07/23/2020, 07/24/2020, 07/25/2020, 07/26/2020, 07/27/2020, 08/02/2020, 08/03/2020, 08/05/2020, 08/07/2020, 08/08/2020, 08/09/2020, 08/10/2020, 08/11/2020, 08/14/2020, 08/15/2020, 08/16/2020, 08/17/2020, 08/18/2020, 08/19/2020, 08/20/2020, 08/21/2020, 08/22/2020, 08/23/2020, 08/24/2020, 08/29/2020, 08/30/2020, 08/31/2020, 09/02/2020, 09/03/2020, 09/05/2020, 09/06/2020, 09/07/2020, 09/09/2020, 09/29/2020, 09/30/2020. Values of 4990 records in AIRTEMP_MEAN_150_0_06 are missing for dates: 09/12/2020-09/29/2020. Values of 9 records in AIRTEMP_MEAN_250_0_07 were flagged as E (data value estimated by interpolation) for dates: 11/15/2019, 12/20/2019, 02/03/2020, 03/02/2020, 03/04/2020, 04/17/2020, 04/30/2020, 06/08/2020, 07/16/2020. Values of 4990 records in AIRTEMP_MEAN_250_0_07 were flagged as M (Missing value) for dates: 09/12/2020-09/29/2020. Values of 221 records in AIRTEMP_MEAN_250_0_07 were flagged as Q (questionable value) for dates: 10/01/2019, 10/09/2019, 10/25/2019, 10/27/2019, 10/29/2019, 11/20/2019, 11/21/2019, 02/06/2020, 02/22/2020, 02/26/2020, 02/28/2020, 03/04/2020, 03/05/2020, 03/09/2020, 03/11/2020, 03/12/2020, 03/13/2020, 03/15/2020, 03/16/2020, 03/17/2020, 03/19/2020, 03/22/2020, 03/25/2020, 04/02/2020, 04/05/2020, 04/08/2020, 04/09/2020, 04/13/2020, 04/14/2020, 04/16/2020, 04/17/2020, 04/20/2020, 04/26/2020, 04/30/2020, 05/03/2020, 05/04/2020, 05/06/2020, 05/07/2020, 05/08/2020, 05/09/2020, 05/10/2020, 05/11/2020, 05/16/2020, 05/24/2020, 05/26/2020, 05/27/2020, 05/28/2020, 06/10/2020, 06/14/2020, 06/17/2020, 06/18/2020, 06/19/2020, 06/23/2020, 06/26/2020, 07/06/2020, 07/14/2020, 07/15/2020, 07/22/2020, 07/23/2020, 07/26/2020, 07/27/2020, 07/29/2020, 08/07/2020, 08/08/2020, 08/13/2020, 08/15/2020, 08/16/2020, 08/17/2020, 08/18/2020, 08/19/2020, 08/29/2020, 09/02/2020, 09/07/2020, 09/09/2020, 09/30/2020. Values of 4990 records in AIRTEMP_MEAN_250_0_07 are missing for dates: 09/12/2020-09/29/2020. Values of 9 records in AIRTEMP_MEAN_350_0_08 were flagged as E (data value estimated by interpolation) for dates: 11/15/2019, 12/20/2019, 02/03/2020, 03/02/2020, 03/04/2020, 04/17/2020, 04/30/2020, 06/08/2020, 07/16/2020. Values of 4990 records in AIRTEMP_MEAN_350_0_08 were flagged as M (Missing value) for dates: 09/12/2020-09/29/2020. Values of 577 records in AIRTEMP_MEAN_350_0_08 were flagged as Q (questionable value) for dates: 10/01/2019, 10/03/2019, 10/09/2019, 10/14/2019, 10/15/2019, 10/25/2019, 10/27/2019, 10/28/2019, 10/29/2019, 11/20/2019, 11/21/2019, 02/06/2020, 02/22/2020, 02/26/2020, 02/28/2020, 03/04/2020, 03/05/2020, 03/11/2020, 03/12/2020, 03/16/2020, 03/17/2020, 03/19/2020, 03/21/2020, 03/22/2020, 04/08/2020, 04/09/2020, 04/13/2020, 04/16/2020, 04/17/2020, 04/26/2020, 05/03/2020, 05/04/2020, 05/05/2020, 05/06/2020, 05/07/2020, 05/08/2020, 05/09/2020, 05/10/2020, 05/11/2020, 05/15/2020, 05/16/2020, 05/24/2020, 05/26/2020, 05/27/2020, 05/28/2020, 06/10/2020, 06/14/2020, 06/17/2020, 06/18/2020, 06/19/2020, 06/22/2020, 06/23/2020, 06/26/2020, 07/14/2020, 07/22/2020, 07/23/2020, 07/26/2020, 07/27/2020, 08/07/2020, 08/08/2020, 08/11/2020, 08/13/2020, 08/15/2020, 08/16/2020, 08/18/2020, 08/19/2020, 08/27/2020, 08/31/2020, 09/02/2020, 09/03/2020, 09/04/2020, 09/05/2020, 09/07/2020, 09/09/2020, 09/29/2020-09/30/2020. Values of 4990 records in AIRTEMP_MEAN_350_0_08 are missing for dates: 09/12/2020-09/29/2020. Values of 9 records in AIRTEMP_MEAN_450_0_09 were flagged as E (data value estimated by interpolation) for dates: 11/15/2019, 12/20/2019, 02/03/2020, 03/02/2020, 03/04/2020, 04/17/2020, 04/30/2020, 06/08/2020, 07/16/2020. Values of 4990 records in AIRTEMP_MEAN_450_0_09 were flagged as M (Missing value) for dates: 09/12/2020-09/29/2020. Values of 78 records in AIRTEMP_MEAN_450_0_09 were flagged as Q (questionable value) for dates: 10/01/2019, 10/09/2019, 10/25/2019, 10/27/2019, 10/29/2019, 11/20/2019, 11/21/2019, 02/06/2020, 03/05/2020, 03/11/2020, 03/16/2020, 03/22/2020, 04/05/2020, 04/08/2020, 04/09/2020, 04/13/2020, 04/16/2020, 04/17/2020, 04/26/2020, 05/04/2020, 05/06/2020, 05/07/2020, 05/08/2020, 05/09/2020, 05/11/2020, 05/16/2020, 05/26/2020, 06/10/2020, 06/17/2020, 06/18/2020, 06/23/2020, 07/26/2020, 08/07/2020, 08/08/2020, 08/15/2020, 08/16/2020, 08/19/2020, 09/02/2020, 09/09/2020. Values of 4990 records in AIRTEMP_MEAN_450_0_09 are missing for dates: 09/12/2020-09/29/2020. Values of 361 records in BATTERY_MIN were flagged as L (Low value) for dates: 09/10/2020-09/12/2020, 09/29/2020. Values of 4999 records in BATTERY_MIN were flagged as M (Missing value) for dates: 11/15/2019, 12/20/2019, 02/03/2020, 03/02/2020, 03/04/2020, 04/17/2020, 04/30/2020, 06/08/2020, 07/16/2020, 09/12/2020-09/29/2020. Values of 4999 records in BATTERY_MIN are missing for dates: 11/15/2019, 12/20/2019, 02/03/2020, 03/02/2020, 03/04/2020, 04/17/2020, 04/30/2020, 06/08/2020, 07/16/2020, 09/12/2020-09/29/2020. Values of 4999 records in LOGGER_AVG were flagged as M (Missing value) for dates: 11/15/2019, 12/20/2019, 02/03/2020, 03/02/2020, 03/04/2020, 04/17/2020, 04/30/2020, 06/08/2020, 07/16/2020, 09/12/2020-09/29/2020. Values of 4999 records in LOGGER_AVG are missing for dates: 11/15/2019, 12/20/2019, 02/03/2020, 03/02/2020, 03/04/2020, 04/17/2020, 04/30/2020, 06/08/2020, 07/16/2020, 09/12/2020-09/29/2020. Values of 9 records in AIRTEMP_MAX_150_0_06 were flagged as E (data value estimated by interpolation) for dates: 11/15/2019, 12/20/2019, 02/03/2020, 03/02/2020, 03/04/2020, 04/17/2020, 04/30/2020, 06/08/2020, 07/16/2020. Values of 4990 records in AIRTEMP_MAX_150_0_06 were flagged as M (Missing value) for dates: 09/12/2020-09/29/2020. Values of 300 records in AIRTEMP_MAX_150_0_06 were flagged as Q (questionable value) for dates: 10/01/2019, 10/03/2019, 10/09/2019, 10/15/2019, 10/25/2019, 10/27/2019, 10/28/2019, 10/29/2019, 11/20/2019, 11/21/2019, 02/06/2020, 02/22/2020, 02/26/2020, 02/28/2020, 03/04/2020, 03/05/2020, 03/09/2020, 03/11/2020, 03/16/2020, 03/17/2020, 03/18/2020, 03/19/2020, 03/21/2020, 03/22/2020, 03/25/2020, 03/31/2020, 04/02/2020, 04/09/2020, 04/11/2020, 04/13/2020, 04/14/2020, 04/16/2020, 04/17/2020, 04/26/2020, 04/28/2020, 04/30/2020, 05/03/2020, 05/04/2020, 05/05/2020, 05/06/2020, 05/07/2020, 05/08/2020, 05/09/2020, 05/10/2020, 05/11/2020, 05/15/2020, 05/17/2020, 05/22/2020, 05/23/2020, 05/24/2020, 05/26/2020, 05/27/2020, 05/28/2020, 06/02/2020, 06/10/2020, 06/14/2020, 06/17/2020, 06/18/2020, 06/19/2020, 06/21/2020, 06/22/2020, 06/23/2020, 06/26/2020, 06/29/2020, 07/02/2020, 07/06/2020, 07/14/2020, 07/15/2020, 07/22/2020, 07/23/2020, 07/24/2020, 07/25/2020, 07/26/2020, 07/27/2020, 08/02/2020, 08/03/2020, 08/05/2020, 08/07/2020, 08/08/2020, 08/09/2020, 08/10/2020, 08/11/2020, 08/14/2020, 08/15/2020, 08/16/2020, 08/17/2020, 08/18/2020, 08/19/2020, 08/20/2020, 08/21/2020, 08/22/2020, 08/23/2020, 08/24/2020, 08/29/2020, 08/30/2020, 08/31/2020, 09/02/2020, 09/03/2020, 09/05/2020, 09/06/2020, 09/07/2020, 09/09/2020, 09/29/2020, 09/30/2020. Values of 4999 records in AIRTEMP_MAX_150_0_06 are missing for dates: 11/15/2019, 12/20/2019, 02/03/2020, 03/02/2020, 03/04/2020, 04/17/2020, 04/30/2020, 06/08/2020, 07/16/2020, 09/12/2020-09/29/2020. Values of 9 records in AIRTEMP_MAX_250_0_07 were flagged as E (data value estimated by interpolation) for dates: 11/15/2019, 12/20/2019, 02/03/2020, 03/02/2020, 03/04/2020, 04/17/2020, 04/30/2020, 06/08/2020, 07/16/2020. Values of 4990 records in AIRTEMP_MAX_250_0_07 were flagged as M (Missing value) for dates: 09/12/2020-09/29/2020. Values of 221 records in AIRTEMP_MAX_250_0_07 were flagged as Q (questionable value) for dates: 10/01/2019, 10/09/2019, 10/25/2019, 10/27/2019, 10/29/2019, 11/20/2019, 11/21/2019, 02/06/2020, 02/22/2020, 02/26/2020, 02/28/2020, 03/04/2020, 03/05/2020, 03/09/2020, 03/11/2020, 03/12/2020, 03/13/2020, 03/15/2020, 03/16/2020, 03/17/2020, 03/19/2020, 03/22/2020, 03/25/2020, 04/02/2020, 04/05/2020, 04/08/2020, 04/09/2020, 04/13/2020, 04/14/2020, 04/16/2020, 04/17/2020, 04/20/2020, 04/26/2020, 04/30/2020, 05/03/2020, 05/04/2020, 05/06/2020, 05/07/2020, 05/08/2020, 05/09/2020, 05/10/2020, 05/11/2020, 05/16/2020, 05/24/2020, 05/26/2020, 05/27/2020, 05/28/2020, 06/10/2020, 06/14/2020, 06/17/2020, 06/18/2020, 06/19/2020, 06/23/2020, 06/26/2020, 07/06/2020, 07/14/2020, 07/15/2020, 07/22/2020, 07/23/2020, 07/26/2020, 07/27/2020, 07/29/2020, 08/07/2020, 08/08/2020, 08/13/2020, 08/15/2020, 08/16/2020, 08/17/2020, 08/18/2020, 08/19/2020, 08/29/2020, 09/02/2020, 09/07/2020, 09/09/2020, 09/30/2020. Values of 4999 records in AIRTEMP_MAX_250_0_07 are missing for dates: 11/15/2019, 12/20/2019, 02/03/2020, 03/02/2020, 03/04/2020, 04/17/2020, 04/30/2020, 06/08/2020, 07/16/2020, 09/12/2020-09/29/2020. Values of 9 records in AIRTEMP_MAX_350_0_08 were flagged as E (data value estimated by interpolation) for dates: 11/15/2019, 12/20/2019, 02/03/2020, 03/02/2020, 03/04/2020, 04/17/2020, 04/30/2020, 06/08/2020, 07/16/2020. Values of 4990 records in AIRTEMP_MAX_350_0_08 were flagged as M (Missing value) for dates: 09/12/2020-09/29/2020. Values of 577 records in AIRTEMP_MAX_350_0_08 were flagged as Q (questionable value) for dates: 10/01/2019, 10/03/2019, 10/09/2019, 10/14/2019, 10/15/2019, 10/25/2019, 10/27/2019, 10/28/2019, 10/29/2019, 11/20/2019, 11/21/2019, 02/06/2020, 02/22/2020, 02/26/2020, 02/28/2020, 03/04/2020, 03/05/2020, 03/11/2020, 03/12/2020, 03/16/2020, 03/17/2020, 03/19/2020, 03/21/2020, 03/22/2020, 04/08/2020, 04/09/2020, 04/13/2020, 04/16/2020, 04/17/2020, 04/26/2020, 05/03/2020, 05/04/2020, 05/05/2020, 05/06/2020, 05/07/2020, 05/08/2020, 05/09/2020, 05/10/2020, 05/11/2020, 05/15/2020, 05/16/2020, 05/24/2020, 05/26/2020, 05/27/2020, 05/28/2020, 06/10/2020, 06/14/2020, 06/17/2020, 06/18/2020, 06/19/2020, 06/22/2020, 06/23/2020, 06/26/2020, 07/14/2020, 07/22/2020, 07/23/2020, 07/26/2020, 07/27/2020, 08/07/2020, 08/08/2020, 08/11/2020, 08/13/2020, 08/15/2020, 08/16/2020, 08/18/2020, 08/19/2020, 08/27/2020, 08/31/2020, 09/02/2020, 09/03/2020, 09/04/2020, 09/05/2020, 09/07/2020, 09/09/2020, 09/29/2020-09/30/2020. Values of 4999 records in AIRTEMP_MAX_350_0_08 are missing for dates: 11/15/2019, 12/20/2019, 02/03/2020, 03/02/2020, 03/04/2020, 04/17/2020, 04/30/2020, 06/08/2020, 07/16/2020, 09/12/2020-09/29/2020. Values of 9 records in AIRTEMP_MAX_450_0_09 were flagged as E (data value estimated by interpolation) for dates: 11/15/2019, 12/20/2019, 02/03/2020, 03/02/2020, 03/04/2020, 04/17/2020, 04/30/2020, 06/08/2020, 07/16/2020. Values of 4990 records in AIRTEMP_MAX_450_0_09 were flagged as M (Missing value) for dates: 09/12/2020-09/29/2020. Values of 78 records in AIRTEMP_MAX_450_0_09 were flagged as Q (questionable value) for dates: 10/01/2019, 10/09/2019, 10/25/2019, 10/27/2019, 10/29/2019, 11/20/2019, 11/21/2019, 02/06/2020, 03/05/2020, 03/11/2020, 03/16/2020, 03/22/2020, 04/05/2020, 04/08/2020, 04/09/2020, 04/13/2020, 04/16/2020, 04/17/2020, 04/26/2020, 05/04/2020, 05/06/2020, 05/07/2020, 05/08/2020, 05/09/2020, 05/11/2020, 05/16/2020, 05/26/2020, 06/10/2020, 06/17/2020, 06/18/2020, 06/23/2020, 07/26/2020, 08/07/2020, 08/08/2020, 08/15/2020, 08/16/2020, 08/19/2020, 09/02/2020, 09/09/2020. Values of 4999 records in AIRTEMP_MAX_450_0_09 are missing for dates: 11/15/2019, 12/20/2019, 02/03/2020, 03/02/2020, 03/04/2020, 04/17/2020, 04/30/2020, 06/08/2020, 07/16/2020, 09/12/2020-09/29/2020. Values of 9 records in AIRTEMP_MIN_150_0_06 were flagged as E (data value estimated by interpolation) for dates: 11/15/2019, 12/20/2019, 02/03/2020, 03/02/2020, 03/04/2020, 04/17/2020, 04/30/2020, 06/08/2020, 07/16/2020. Values of 4990 records in AIRTEMP_MIN_150_0_06 were flagged as M (Missing value) for dates: 09/12/2020-09/29/2020. Values of 300 records in AIRTEMP_MIN_150_0_06 were flagged as Q (questionable value) for dates: 10/01/2019, 10/03/2019, 10/09/2019, 10/15/2019, 10/25/2019, 10/27/2019, 10/28/2019, 10/29/2019, 11/20/2019, 11/21/2019, 02/06/2020, 02/22/2020, 02/26/2020, 02/28/2020, 03/04/2020, 03/05/2020, 03/09/2020, 03/11/2020, 03/16/2020, 03/17/2020, 03/18/2020, 03/19/2020, 03/21/2020, 03/22/2020, 03/25/2020, 03/31/2020, 04/02/2020, 04/09/2020, 04/11/2020, 04/13/2020, 04/14/2020, 04/16/2020, 04/17/2020, 04/26/2020, 04/28/2020, 04/30/2020, 05/03/2020, 05/04/2020, 05/05/2020, 05/06/2020, 05/07/2020, 05/08/2020, 05/09/2020, 05/10/2020, 05/11/2020, 05/15/2020, 05/17/2020, 05/22/2020, 05/23/2020, 05/24/2020, 05/26/2020, 05/27/2020, 05/28/2020, 06/02/2020, 06/10/2020, 06/14/2020, 06/17/2020, 06/18/2020, 06/19/2020, 06/21/2020, 06/22/2020, 06/23/2020, 06/26/2020, 06/29/2020, 07/02/2020, 07/06/2020, 07/14/2020, 07/15/2020, 07/22/2020, 07/23/2020, 07/24/2020, 07/25/2020, 07/26/2020, 07/27/2020, 08/02/2020, 08/03/2020, 08/05/2020, 08/07/2020, 08/08/2020, 08/09/2020, 08/10/2020, 08/11/2020, 08/14/2020, 08/15/2020, 08/16/2020, 08/17/2020, 08/18/2020, 08/19/2020, 08/20/2020, 08/21/2020, 08/22/2020, 08/23/2020, 08/24/2020, 08/29/2020, 08/30/2020, 08/31/2020, 09/02/2020, 09/03/2020, 09/05/2020, 09/06/2020, 09/07/2020, 09/09/2020, 09/29/2020, 09/30/2020. Values of 4999 records in AIRTEMP_MIN_150_0_06 are missing for dates: 11/15/2019, 12/20/2019, 02/03/2020, 03/02/2020, 03/04/2020, 04/17/2020, 04/30/2020, 06/08/2020, 07/16/2020, 09/12/2020-09/29/2020. Values of 9 records in AIRTEMP_MIN_250_0_07 were flagged as E (data value estimated by interpolation) for dates: 11/15/2019, 12/20/2019, 02/03/2020, 03/02/2020, 03/04/2020, 04/17/2020, 04/30/2020, 06/08/2020, 07/16/2020. Values of 4990 records in AIRTEMP_MIN_250_0_07 were flagged as M (Missing value) for dates: 09/12/2020-09/29/2020. Values of 221 records in AIRTEMP_MIN_250_0_07 were flagged as Q (questionable value) for dates: 10/01/2019, 10/09/2019, 10/25/2019, 10/27/2019, 10/29/2019, 11/20/2019, 11/21/2019, 02/06/2020, 02/22/2020, 02/26/2020, 02/28/2020, 03/04/2020, 03/05/2020, 03/09/2020, 03/11/2020, 03/12/2020, 03/13/2020, 03/15/2020, 03/16/2020, 03/17/2020, 03/19/2020, 03/22/2020, 03/25/2020, 04/02/2020, 04/05/2020, 04/08/2020, 04/09/2020, 04/13/2020, 04/14/2020, 04/16/2020, 04/17/2020, 04/20/2020, 04/26/2020, 04/30/2020, 05/03/2020, 05/04/2020, 05/06/2020, 05/07/2020, 05/08/2020, 05/09/2020, 05/10/2020, 05/11/2020, 05/16/2020, 05/24/2020, 05/26/2020, 05/27/2020, 05/28/2020, 06/10/2020, 06/14/2020, 06/17/2020, 06/18/2020, 06/19/2020, 06/23/2020, 06/26/2020, 07/06/2020, 07/14/2020, 07/15/2020, 07/22/2020, 07/23/2020, 07/26/2020, 07/27/2020, 07/29/2020, 08/07/2020, 08/08/2020, 08/13/2020, 08/15/2020, 08/16/2020, 08/17/2020, 08/18/2020, 08/19/2020, 08/29/2020, 09/02/2020, 09/07/2020, 09/09/2020, 09/30/2020. Values of 4999 records in AIRTEMP_MIN_250_0_07 are missing for dates: 11/15/2019, 12/20/2019, 02/03/2020, 03/02/2020, 03/04/2020, 04/17/2020, 04/30/2020, 06/08/2020, 07/16/2020, 09/12/2020-09/29/2020. Values of 9 records in AIRTEMP_MIN_350_0_08 were flagged as E (data value estimated by interpolation) for dates: 11/15/2019, 12/20/2019, 02/03/2020, 03/02/2020, 03/04/2020, 04/17/2020, 04/30/2020, 06/08/2020, 07/16/2020. Values of 4990 records in AIRTEMP_MIN_350_0_08 were flagged as M (Missing value) for dates: 09/12/2020-09/29/2020. Values of 577 records in AIRTEMP_MIN_350_0_08 were flagged as Q (questionable value) for dates: 10/01/2019, 10/03/2019, 10/09/2019, 10/14/2019, 10/15/2019, 10/25/2019, 10/27/2019, 10/28/2019, 10/29/2019, 11/20/2019, 11/21/2019, 02/06/2020, 02/22/2020, 02/26/2020, 02/28/2020, 03/04/2020, 03/05/2020, 03/11/2020, 03/12/2020, 03/16/2020, 03/17/2020, 03/19/2020, 03/21/2020, 03/22/2020, 04/08/2020, 04/09/2020, 04/13/2020, 04/16/2020, 04/17/2020, 04/26/2020, 05/03/2020, 05/04/2020, 05/05/2020, 05/06/2020, 05/07/2020, 05/08/2020, 05/09/2020, 05/10/2020, 05/11/2020, 05/15/2020, 05/16/2020, 05/24/2020, 05/26/2020, 05/27/2020, 05/28/2020, 06/10/2020, 06/14/2020, 06/17/2020, 06/18/2020, 06/19/2020, 06/22/2020, 06/23/2020, 06/26/2020, 07/14/2020, 07/22/2020, 07/23/2020, 07/26/2020, 07/27/2020, 08/07/2020, 08/08/2020, 08/11/2020, 08/13/2020, 08/15/2020, 08/16/2020, 08/18/2020, 08/19/2020, 08/27/2020, 08/31/2020, 09/02/2020, 09/03/2020, 09/04/2020, 09/05/2020, 09/07/2020, 09/09/2020, 09/29/2020-09/30/2020. Values of 4999 records in AIRTEMP_MIN_350_0_08 are missing for dates: 11/15/2019, 12/20/2019, 02/03/2020, 03/02/2020, 03/04/2020, 04/17/2020, 04/30/2020, 06/08/2020, 07/16/2020, 09/12/2020-09/29/2020. Values of 9 records in AIRTEMP_MIN_450_0_09 were flagged as E (data value estimated by interpolation) for dates: 11/15/2019, 12/20/2019, 02/03/2020, 03/02/2020, 03/04/2020, 04/17/2020, 04/30/2020, 06/08/2020, 07/16/2020. Values of 4990 records in AIRTEMP_MIN_450_0_09 were flagged as M (Missing value) for dates: 09/12/2020-09/29/2020. Values of 78 records in AIRTEMP_MIN_450_0_09 were flagged as Q (questionable value) for dates: 10/01/2019, 10/09/2019, 10/25/2019, 10/27/2019, 10/29/2019, 11/20/2019, 11/21/2019, 02/06/2020, 03/05/2020, 03/11/2020, 03/16/2020, 03/22/2020, 04/05/2020, 04/08/2020, 04/09/2020, 04/13/2020, 04/16/2020, 04/17/2020, 04/26/2020, 05/04/2020, 05/06/2020, 05/07/2020, 05/08/2020, 05/09/2020, 05/11/2020, 05/16/2020, 05/26/2020, 06/10/2020, 06/17/2020, 06/18/2020, 06/23/2020, 07/26/2020, 08/07/2020, 08/08/2020, 08/15/2020, 08/16/2020, 08/19/2020, 09/02/2020, 09/09/2020. Values of 4999 records in AIRTEMP_MIN_450_0_09 are missing for dates: 11/15/2019, 12/20/2019, 02/03/2020, 03/02/2020, 03/04/2020, 04/17/2020, 04/30/2020, 06/08/2020, 07/16/2020, 09/12/2020-09/29/2020. Values of 59 records in SWI_RUNMN_600_0_02 were flagged as Q (questionable value) for dates: 10/03/2019, 02/02/2020, 02/16/2020, 03/09/2020, 03/16/2020, 03/20/2020, 03/25/2020, 04/11/2020, 04/19/2020, 04/23/2020, 06/27/2020, 06/30/2020. Values of 5059 records in SWI_RUNMN_600_0_02 are missing for dates: 11/15/2019, 12/20/2019, 02/03/2020, 03/02/2020, 03/04/2020, 04/17/2020, 04/30/2020, 06/08/2020, 07/16/2020, 09/12/2020-09/29/2020. Values of 11 records in Year are missing for date 12/31/2019. Values of 83 records in CEN are missing for dates: 12/31/2019, 02/28/2020, 02/28/2020-02/29/2020. Values of 83 records in CS2MET are missing for dates: 12/31/2019, 02/28/2020, 02/28/2020-02/29/2020. Values of 83 records in DISCTR are missing for dates: 12/31/2019, 02/28/2020, 02/28/2020-02/29/2020. Values of 83 records in PRI are missing for dates: 12/31/2019, 02/28/2020, 02/28/2020-02/29/2020. Values of 83 records in UPL are missing for dates: 12/31/2019, 02/28/2020, 02/28/2020-02/29/2020. Values of 83 records in VAN are missing for dates: 12/31/2019, 02/28/2020, 02/28/2020-02/29/2020. Values of 83 records in CEN_100 are missing for dates: 12/31/2019, 02/28/2020, 02/28/2020-02/29/2020. Values of 83 records in CS2MET_100 are missing for dates: 12/31/2019, 02/28/2020, 02/28/2020-02/29/2020. Values of 83 records in DISCTR_100 are missing for dates: 12/31/2019, 02/28/2020, 02/28/2020-02/29/2020. Values of 83 records in PRI_100 are missing for dates: 12/31/2019, 02/28/2020, 02/28/2020-02/29/2020. Values of 83 records in UPL_100 are missing for dates: 12/31/2019, 02/28/2020, 02/28/2020-02/29/2020. Values of 83 records in VAN_100 are missing for dates: 12/31/2019, 02/28/2020, 02/28/2020-02/29/2020. Values of 83 records in CEN_SS are missing for dates: 12/31/2019, 02/28/2020, 02/28/2020-02/29/2020. Values of 83 records in CS2MET_SS are missing for dates: 12/31/2019, 02/28/2020, 02/28/2020-02/29/2020. Values of 83 records in DISCTR_SS are missing for dates: 12/31/2019, 02/28/2020, 02/28/2020-02/29/2020. Values of 83 records in PRI_SS are missing for dates: 12/31/2019, 02/28/2020, 02/28/2020-02/29/2020. Values of 83 records in UPL_SS are missing for dates: 12/31/2019, 02/28/2020, 02/28/2020-02/29/2020. Values of 83 records in VAN_SS are missing for dates: 12/31/2019, 02/28/2020, 02/28/2020-02/29/2020. Values of 83 records in CEN_SS_3 are missing for dates: 12/31/2019, 02/28/2020, 02/28/2020-02/29/2020. Values of 83 records in CS2MET_SS_3 are missing for dates: 12/31/2019, 02/28/2020, 02/28/2020-02/29/2020. Values of 83 records in DISCTR_SS_3 are missing for dates: 12/31/2019, 02/28/2020, 02/28/2020-02/29/2020. Values of 83 records in PRI_SS_3 are missing for dates: 12/31/2019, 02/28/2020, 02/28/2020-02/29/2020. Values of 83 records in VAN_SS_3 are missing for dates: 12/31/2019, 02/28/2020, 02/28/2020-02/29/2020. Values of 11 records in CEN_isDaytime are missing for date 12/31/2019. Values of 11 records in CEN_isNighttime are missing for date 12/31/2019. Values of 11 records in PRI_isDaytime are missing for date 12/31/2019. Values of 11 records in PRI_isNighttime are missing for date 12/31/2019. Values of 11 records in UPL_isDaytime are missing for date 12/31/2019. Values of 11 records in UPL_isNighttime are missing for date 12/31/2019. Values of 11 records in VAN_isDaytime are missing for date 12/31/2019. Values of 11 records in VAN_isNighttime are missing for date 12/31/2019. The value of one record in SWI_TOT_600_0_02 was flagged as 2 (Questionable low daytime value (SWI < 20.0 W/m² AND TSB < 1.4 °C) - possible snow/frost) for date 10/30/2019. Values of 28698 records in SWI_TOT_600_0_02 were flagged as E (data value estimated by interpolation) for dates: 10/01/2019, 10/01/2019-10/02/2019, 10/02/2019-10/03/2019, 10/04/2019, 10/05/2019, 10/05/2019-10/06/2019, 10/06/2019-10/07/2019, 10/08/2019, 10/08/2019-10/09/2019, 10/09/2019-10/10/2019, 10/10/2019-10/11/2019, 10/11/2019-10/12/2019, 10/13/2019, 10/13/2019-10/14/2019, 10/14/2019-10/15/2019, 10/15/2019-10/16/2019, 10/17/2019, 10/18/2019, 10/19/2019, 10/20/2019, 10/21/2019, 10/22/2019, 10/22/2019-10/23/2019, 10/23/2019-10/24/2019, 10/24/2019-10/25/2019, 10/25/2019-10/26/2019, 10/26/2019-10/27/2019, 10/27/2019-10/28/2019, 10/28/2019-10/29/2019, 10/29/2019-10/30/2019, 10/30/2019-10/31/2019, 10/31/2019-11/01/2019, 11/01/2019-11/02/2019, 11/02/2019-11/03/2019, 11/03/2019-11/04/2019, 11/04/2019-11/05/2019, 11/05/2019-11/06/2019, 11/06/2019-11/07/2019, 11/07/2019-11/08/2019, 11/08/2019-11/09/2019, 11/09/2019-11/10/2019, 11/10/2019-11/11/2019, 11/11/2019-11/12/2019, 11/12/2019-11/13/2019, 11/13/2019-11/14/2019, 11/14/2019-11/15/2019, 11/16/2019, 11/16/2019-11/17/2019, 11/17/2019-11/18/2019, 11/19/2019, 11/20/2019, 11/21/2019, 11/21/2019-11/22/2019, 11/22/2019-11/23/2019, 11/23/2019-11/24/2019, 11/25/2019, 11/26/2019, 11/27/2019-11/28/2019, 11/28/2019-11/29/2019, 11/29/2019-11/30/2019, 12/01/2019, 12/01/2019-12/02/2019, 12/02/2019-12/03/2019, 12/03/2019-12/04/2019, 12/04/2019-12/05/2019, 12/06/2019, 12/07/2019, 12/08/2019, 12/09/2019, 12/09/2019-12/10/2019, 12/13/2019, 12/13/2019-12/14/2019, 12/15/2019, 12/15/2019-12/16/2019, 12/16/2019-12/17/2019, 12/17/2019-12/18/2019, 12/20/2019, 12/21/2019, 12/22/2019, 12/23/2019, 12/24/2019, 12/25/2019, 12/25/2019-12/26/2019, 12/27/2019, 12/27/2019-12/28/2019, 12/28/2019-12/29/2019, 12/30/2019, 12/31/2019, 01/02/2020, 01/02/2020-01/03/2020, 01/04/2020, 01/04/2020-01/05/2020, 01/06/2020, 01/07/2020, 01/08/2020, 01/09/2020, 01/10/2020, 01/12/2020, 01/13/2020, 01/14/2020, 01/14/2020-01/15/2020, 01/16/2020, 01/16/2020-01/17/2020, 01/19/2020, 01/20/2020, 01/24/2020, 01/28/2020, 01/30/2020, 01/31/2020, 02/01/2020, 02/02/2020, 02/03/2020, 02/03/2020-02/04/2020, 02/08/2020, 02/09/2020, 02/10/2020-02/11/2020, 02/12/2020, 02/12/2020-02/13/2020, 02/14/2020, 02/15/2020, 02/16/2020, 02/17/2020, 02/17/2020-02/18/2020, 02/18/2020-02/19/2020, 02/19/2020-02/20/2020, 02/20/2020-02/21/2020, 02/22/2020, 02/23/2020, 02/24/2020-02/25/2020, 02/25/2020-02/26/2020, 02/26/2020-02/27/2020, 02/27/2020-02/28/2020, 02/29/2020, 03/01/2020, 03/02/2020, 03/03/2020, 03/04/2020, 03/04/2020-03/05/2020, 03/05/2020-03/06/2020, 03/07/2020, 03/07/2020-03/08/2020, 03/09/2020, 03/09/2020-03/10/2020, 03/10/2020-03/11/2020, 03/11/2020-03/12/2020, 03/12/2020-03/13/2020, 03/14/2020, 03/15/2020, 03/15/2020-03/16/2020, 03/16/2020-03/17/2020, 03/18/2020, 03/18/2020-03/19/2020, 03/19/2020-03/20/2020, 03/20/2020-03/21/2020, 03/21/2020-03/22/2020, 03/23/2020, 03/24/2020, 03/25/2020, 03/26/2020, 03/27/2020, 03/28/2020, 03/31/2020, 04/01/2020, 04/02/2020, 04/03/2020, 04/03/2020-04/04/2020, 04/05/2020, 04/06/2020, 04/07/2020, 04/07/2020-04/08/2020, 04/08/2020-04/09/2020, 04/09/2020-04/10/2020, 04/11/2020, 04/11/2020-04/12/2020, 04/12/2020-04/13/2020, 04/13/2020-04/14/2020, 04/14/2020-04/15/2020, 04/15/2020-04/16/2020, 04/16/2020-04/17/2020, 04/17/2020-04/18/2020, 04/18/2020-04/19/2020, 04/19/2020-04/20/2020, 04/21/2020, 04/21/2020-04/22/2020, 04/23/2020, 04/24/2020, 04/24/2020-04/25/2020, 04/26/2020, 04/26/2020-04/27/2020, 04/28/2020, 04/28/2020-04/29/2020, 04/30/2020, 04/30/2020-05/01/2020, 05/01/2020-05/02/2020, 05/03/2020, 05/03/2020-05/04/2020, 05/04/2020-05/05/2020, 05/06/2020, 05/06/2020-05/07/2020, 05/07/2020-05/08/2020, 05/08/2020-05/09/2020, 05/09/2020-05/10/2020, 05/10/2020-05/11/2020, 05/11/2020-05/12/2020, 05/13/2020, 05/14/2020, 05/15/2020, 05/16/2020, 05/17/2020, 05/18/2020, 05/19/2020, 05/20/2020, 05/20/2020-05/21/2020, 05/22/2020, 05/23/2020, 05/23/2020-05/24/2020, 05/24/2020-05/25/2020, 05/25/2020-05/26/2020, 05/26/2020-05/27/2020, 05/27/2020-05/28/2020, 05/28/2020-05/29/2020, 05/29/2020-05/30/2020, 05/31/2020, 05/31/2020-06/01/2020, 06/01/2020-06/02/2020, 06/02/2020-06/03/2020, 06/03/2020-06/04/2020, 06/04/2020-06/05/2020, 06/06/2020, 06/07/2020, 06/08/2020, 06/09/2020, 06/10/2020, 06/10/2020-06/11/2020, 06/12/2020, 06/12/2020-06/13/2020, 06/14/2020, 06/15/2020, 06/16/2020, 06/17/2020, 06/17/2020-06/18/2020, 06/18/2020-06/19/2020, 06/19/2020-06/20/2020, 06/21/2020, 06/21/2020-06/22/2020, 06/22/2020-06/23/2020, 06/23/2020-06/24/2020, 06/24/2020-06/25/2020, 06/25/2020-06/26/2020, 06/26/2020-06/27/2020, 06/27/2020-06/28/2020, 06/29/2020, 06/29/2020-06/30/2020, 06/30/2020-07/01/2020, 07/01/2020-07/02/2020, 07/02/2020-07/03/2020, 07/03/2020-07/04/2020, 07/04/2020-07/05/2020, 07/05/2020-07/06/2020, 07/07/2020, 07/07/2020-07/08/2020, 07/08/2020-07/09/2020, 07/09/2020-07/10/2020, 07/10/2020-07/11/2020, 07/11/2020-07/12/2020, 07/12/2020-07/13/2020, 07/13/2020-07/14/2020, 07/14/2020-07/15/2020, 07/15/2020-07/16/2020, 07/16/2020-07/17/2020, 07/17/2020-07/18/2020, 07/18/2020-07/19/2020, 07/19/2020-07/20/2020, 07/20/2020-07/21/2020, 07/21/2020-07/22/2020, 07/22/2020-07/23/2020, 07/23/2020-07/24/2020, 07/24/2020-07/25/2020, 07/25/2020-07/26/2020, 07/26/2020-07/27/2020, 07/27/2020-07/28/2020, 07/28/2020-07/29/2020, 07/29/2020-07/30/2020, 07/30/2020-07/31/2020, 07/31/2020-08/01/2020, 08/01/2020-08/02/2020, 08/02/2020-08/03/2020, 08/03/2020-08/04/2020, 08/04/2020-08/05/2020, 08/05/2020-08/06/2020, 08/06/2020-08/07/2020, 08/07/2020-08/08/2020, 08/08/2020-08/09/2020, 08/09/2020-08/10/2020, 08/10/2020-08/11/2020, 08/11/2020-08/12/2020, 08/12/2020-08/13/2020, 08/13/2020-08/14/2020, 08/14/2020-08/15/2020, 08/15/2020-08/16/2020, 08/16/2020-08/17/2020, 08/17/2020-08/18/2020, 08/18/2020-08/19/2020, 08/19/2020-08/20/2020, 08/20/2020-08/21/2020, 08/22/2020, 08/22/2020-08/23/2020, 08/23/2020-08/24/2020, 08/24/2020-08/25/2020, 08/25/2020-08/26/2020, 08/26/2020-08/27/2020, 08/27/2020-08/28/2020, 08/28/2020-08/29/2020, 08/29/2020-08/30/2020, 08/30/2020-08/31/2020, 08/31/2020-09/01/2020, 09/01/2020-09/02/2020, 09/02/2020-09/03/2020, 09/03/2020-09/04/2020, 09/04/2020-09/05/2020, 09/05/2020-09/06/2020, 09/06/2020-09/07/2020, 09/07/2020-09/08/2020, 09/08/2020-09/09/2020, 09/09/2020-09/10/2020, 09/10/2020-09/11/2020, 09/29/2020-09/30/2020, 09/30/2020-10/01/2020. Values of 4999 records in SWI_TOT_600_0_02 were flagged as M (Missing value) for dates: 11/15/2019, 12/20/2019, 02/03/2020, 03/02/2020, 03/04/2020, 04/17/2020, 04/30/2020, 06/08/2020, 07/16/2020, 09/12/2020-09/29/2020. Values of 58 records in SWI_TOT_600_0_02 were flagged as Q (questionable value) for dates: 03/25/2020, 03/26/2020, 04/20/2020, 04/23/2020, 05/04/2020, 05/06/2020, 05/21/2020, 05/22/2020, 05/24/2020, 05/26/2020, 05/31/2020, 06/06/2020, 06/07/2020, 06/14/2020, 06/28/2020, 06/30/2020, 07/01/2020, 07/09/2020. Values of 4999 records in SWI_TOT_600_0_02 are missing for dates: 11/15/2019, 12/20/2019, 02/03/2020, 03/02/2020, 03/04/2020, 04/17/2020, 04/30/2020, 06/08/2020, 07/16/2020, 09/12/2020-09/29/2020. Values of 4999 records in SWO_TOT_600_0_02 were flagged as M (Missing value) for dates: 11/15/2019, 12/20/2019, 02/03/2020, 03/02/2020, 03/04/2020, 04/17/2020, 04/30/2020, 06/08/2020, 07/16/2020, 09/12/2020-09/29/2020. Values of 4999 records in SWO_TOT_600_0_02 are missing for dates: 11/15/2019, 12/20/2019, 02/03/2020, 03/02/2020, 03/04/2020, 04/17/2020, 04/30/2020, 06/08/2020, 07/16/2020, 09/12/2020-09/29/2020. V. Supplemental Descriptors A. Data Acquisition 1. Data Forms: 2. Form Location: 3. Data Entry Validation: B. Quality Assurance/Quality Control Procedures: C. Supplemental Materials: D. Computer Programs: E. Archival Practices: F. Publications: G. History of Data Set Usage 1. Data Request History: 2. Data Set Update History: 3. Review History: 4. Questions and Comments from Users: