I. Data Set Descriptors 
   A. Title: Meteorological data from Vanilla Rain Met at the Andrews Forest. Variables include: 
      precipitation, swe, snow depth, air temperature, and battery supply from 01-Oct-2016 to 
      01-Oct-2017
   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: Vanilla Rain Gage
      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: 15-Nov-2023
      2. Latest Archive Date: 
      3. Latest Metadata Update: 15-Nov-2023
      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: varmet_302_a_5min_2017.csv
      2. Size: 105120 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: M = missing value, I = Invalid value (out of range), Q = 
         Questionable value, V = Flags values n greater than or m less than the mean of the 
         preceding N readings, 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, S = Flags unrealistic sequences of identical or near identical values in time 
         series of non-missing values, T = For methods or hardware related flags. ie. broken 
         shield, D = Value is outside detection limit, L = Low value, H = High value, P = Program 
         ID change, R = Reduced volume stored in sample tank, E = Value estimated by linear 
         interpolation
      7. Authentication Procedures: 
      8. Calculations: 
         SNOWDEP_INST_0_0_05: SNOWDEP_INST_0_0_05(mm) = SNOWDEP_INST_0_0_05(m) * 1000
      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 VARA_302_Table105 WHERE LOGGERID = 302 AND TmStamp BETWEEN 
               '2016-10-01 00:05:00.0' AND '2017-10-01 00:00:00.0'
 ORDER BY TmStamp ASC  (97357 
               records)
            FINAL_AIRTEMP_QC4SIGMA_leap_ak.csv (8784 records)
         Data processing history:
            15-Nov-2023: new GCE Data Structure 1.1 created ('newstruct')
            15-Nov-2023: imported result set from SQL query on data source 'metdat' ('sql2struct')
            15-Nov-2023: imported all documentation metadata from the template 'LNDB_VarMet_3', 
               updating descriptors for columns Date, RecNum, LOGGERID, PROGID, BATTERY_MEAN, 
               SNOWDEP_INST_0_0_05, SNOWDEP_QUAL, SWE_INST_0_0_05, PRECIP_INST_455_0_02, 
               ORI_SH_AVG, AIRTEMP_MEAN_450_0_10, AIRTEMP_MAX_450_0_10 and AIRTEMP_MIN_450_0_10 
               ('meta_template')
            15-Nov-2023: updated 16 metadata fields in the Data, Dataset, Project, Site, Status, 
               Study, Supplement section(s) ('addmeta')
            15-Nov-2023: updated title ('newtitle')
            15-Nov-2023: Q/C flagging criteria applied, 'flags' field updated ('dataflag')
            15-Nov-2023: Name of column TmStamp changed to Date; Name of column BATTERY_V_Avg 
               changed to BATTERY_MEAN; Name of column SNOWDEPTH changed to SNOWDEP_INST_0_0_05; 
               Name of column QUALITY changed to SNOWDEP_QUAL; Name of column SWE changed to 
               SWE_INST_0_0_05; Name of column PRECIP changed to PRECIP_INST_455_0_02; Name of 
               column OR_TEMP_Avg changed to ORI_SH_AVG; Name of column AIR_450_Avg changed to 
               AIRTEMP_MEAN_450_0_10; Name of column AIR_450_Max changed to AIRTEMP_MAX_450_0_10; 
               Name of column AIR_450_Min changed to AIRTEMP_MIN_450_0_10; ('apply_template')
            15-Nov-2023: Units of column Date changed from '' to 'serial number'; Units of column 
               RecNum changed from '' to 'count'; Units of column LOGGERID changed from '' to 
               'none'; Units of column PROGID changed from '' to 'none'; Units of column 
               BATTERY_MEAN changed from '' to 'volts'; Units of column SNOWDEP_INST_0_0_05 changed 
               from '' to 'm'; Units of column SNOWDEP_QUAL changed from '' to 'none'; Units of 
               column SWE_INST_0_0_05 changed from '' to 'mm'; Units of column PRECIP_INST_455_0_02 
               changed from '' to 'mm'; Units of column ORI_SH_AVG changed from '' to 'deg c'; 
               Units of column AIRTEMP_MEAN_450_0_10 changed from '' to 'deg c'; Units of column 
               AIRTEMP_MAX_450_0_10 changed from '' to 'deg c'; Units of column 
               AIRTEMP_MIN_450_0_10 changed from '' to 'deg c'; ('apply_template')
            15-Nov-2023: Data Type of column PROGID changed from 'd' to 'f'; Data Type of column 
               SNOWDEP_QUAL changed from 'f' to 'd'; ('apply_template')
            15-Nov-2023: Variable Type of column RecNum changed from 'data' to 'nominal'; Variable 
               Type of column LOGGERID changed from 'data' to 'nominal'; Variable Type of column 
               PROGID changed from 'data' to 'nominal'; ('apply_template')
            15-Nov-2023: Numeric Type of column PROGID changed from 'discrete' to 'continuous'; 
               Numeric Type of column BATTERY_MEAN changed from 'continous' to 'continuous'; 
               Numeric Type of column SNOWDEP_INST_0_0_05 changed from 'continous' to 'continuous'; 
               Numeric Type of column SNOWDEP_QUAL changed from 'continous' to 'discrete'; Numeric 
               Type of column SWE_INST_0_0_05 changed from 'continous' to 'continuous'; Numeric 
               Type of column PRECIP_INST_455_0_02 changed from 'continous' to 'continuous'; 
               Numeric Type of column ORI_SH_AVG changed from 'continous' to 'continuous'; Numeric 
               Type of column AIRTEMP_MEAN_450_0_10 changed from 'continous' to 'continuous'; 
               Numeric Type of column AIRTEMP_MAX_450_0_10 changed from 'continous' to 
               'continuous'; Numeric Type of column AIRTEMP_MIN_450_0_10 changed from 'continous' 
               to 'continuous'; ('apply_template')
            15-Nov-2023: Q/C Criteria of column Date changed from '' to 'x<0='I';isnan(x)='M''; Q/C 
               Criteria of column RecNum changed from '' to 'x<0='I';isnan(x)='M''; Q/C Criteria of 
               column LOGGERID changed from '' to 'flag_notinarray(x,[301,302])='I';isnan(x)='M''; 
               Q/C Criteria of column PROGID changed from '' to 
               'flag_valuechange(x,0.1,0.1,1)='P';isnan(x)='M''; Q/C Criteria of column 
               BATTERY_MEAN changed from '' to 'x<0='I';x<11.5='L';x>16='H';isnan(x)='M''; Q/C 
               Criteria of column SNOWDEP_INST_0_0_05 changed from '' to 
               'isnan(x)='M';x>4.5='Q';x>5.0='I';x<-5.0='I';col_SNOWDEP_QUAL<=0='I';col_SNOWDEP_QUAL
               <162&col_SNOWDEP_QUAL>0='Q';col_SNOWDEP_QUAL>=300&col_SNOWDEP_QUAL<=600='Q';flag_date
               range(col_Date,{'10/30/2015 12:00:00','11/05/2015 
               14:55:00'})='Q';flag_daterange(col_Date,{'06/03/2022 15:20:00','06/09/2022 
               13:30:00'})='I';flag_daterange(col_Date,{'10/20/2022 10:55:00','10/22/2022 
               05:05:00'})='Q''; Q/C Criteria of column SNOWDEP_QUAL changed from '' to 
               'isnan(x)='M''; Q/C Criteria of column SWE_INST_0_0_05 changed from '' to 
               'isnan(x)='M';col_Date>=datenum('10/30/2015 12:00:00')&col_Date<=datenum('11/5/2015 
               14:00:00')='Q';col_Date>=datenum('11/11/2016 
               12:00:00')&col_Date<=datenum('11/14/2017 
               12:00:00')='I';col_Date>=datenum('09/30/2023 12:00:00')='I''; Q/C Criteria of column 
               PRECIP_INST_455_0_02 changed from '' to 
               'x<0='I';x>1200='I';col_ORI_SH_AVG<3.5='T';flag_valuechange(x,100,25,1)='R';isnan(x)=
               'M';col_Date>=datenum('10/30/2015 12:00:00')&col_Date<=datenum('11/05/2015 
               14:00:00')='Q';col_Date>=datenum('12/17/2015 
               12:00:00')&col_Date<=datenum('01/27/2016 
               12:00:00')='I';col_Date>=datenum('02/25/2018 
               22:45:00')&col_Date<=datenum('02/28/2018 
               20:00:00')='T';col_Date>=datenum('02/27/2019 
               16:55:00')&col_Date<=datenum('10/06/2021 
               12:10:00')='Q';col_Date>=datenum('10/06/2021 
               12:15:00')&col_Date<=datenum('12/14/2021 
               00:05:00')='Q';col_Date>=datenum('12/14/2021 
               00:10:00')&col_Date<=datenum('09/31/2022 
               00:00:00')='Q';col_Date>=datenum('12/15/2022 
               11:20:00')&col_Date<=datenum('12/15/2022 
               12:25:00')='I';col_Date>=datenum('10/01/2022 00:00:00')='Q''; Q/C Criteria of column 
               ORI_SH_AVG changed from '' to 'x<3.5='T';isnan(x)='M';col_Date>=datenum('10/30/2015 
               12:00:00')&col_Date<=datenum('11/5/2015 14:00:00')='Q''; Q/C Criteria of column 
               AIRTEMP_MEAN_450_0_10 changed from '' to 
               'x<=-35='I';x>50='I';x<-18='Q';x>45='Q';flag_valuechange(x,6.5,6.5,1) 
               ='V';flag_valuechange(x,8,8,1) 
               ='I';isnan(x)='M';x<col_FOURLO='Q';x>col_FOURHI='Q';col_Date>=datenum('10/30/2015 
               12:00:00')&col_Date<=datenum('11/5/2015 14:00:00')='Q';col_Date>=datenum('05/06/2017 
               08:00:00')&col_Date<=datenum('08/18/2017 
               20:00:00')='Q';(col_AIRTEMP_MAX_450_0_10-col_AIRTEMP_MEAN_450_0_10)>1='Q'; 
               (col_AIRTEMP_MEAN_450_0_10-col_AIRTEMP_MIN_450_0_10)>1='Q'; 
               x>col_AIRTEMP_MAX_450_0_10='I'; x<col_AIRTEMP_MIN_450_0_10=‘I’'; Q/C Criteria of 
               column AIRTEMP_MAX_450_0_10 changed from '' to 
               'x<=-35='I';x>50='I';x<-18='Q';x>45='Q';flag_valuechange(x,6.5,6.5,1) 
               ='V';flag_valuechange(x,8,8,1) 
               ='I';isnan(x)='M';x<col_FOURLO='Q';x>col_FOURHI='Q';col_Date>=datenum('10/30/2015 
               12:00:00')&col_Date<=datenum('11/5/2015 14:00:00')='Q';col_Date>=datenum('05/06/2017 
               08:00:00')&col_Date<=datenum('08/18/2017 20:00:00')='Q''; Q/C Criteria of column 
               AIRTEMP_MIN_450_0_10 changed from '' to 
               'x<=-35='I';x>50='I';x<-18='Q';x>45='Q';flag_valuechange(x,6.5,6.5,1) 
               ='V';flag_valuechange(x,8,8,1) 
               ='I';isnan(x)='M';x<col_FOURLO='Q';x>col_FOURHI='Q';col_Date>=datenum('10/30/2015 
               12:00:00')&col_Date<=datenum('11/5/2015 14:00:00')='Q';col_Date>=datenum('05/06/2017 
               08:00:00')&col_Date<=datenum('08/18/2017 20:00:00')='Q''; ('apply_template')
            15-Nov-2023: Precision of column Date changed from 0 to 7; Precision of column PROGID 
               changed from 0 to 1; Precision of column SNOWDEP_QUAL changed from 2 to 0; Precision 
               of column SWE_INST_0_0_05 changed from 1 to 4; Precision of column 
               PRECIP_INST_455_0_02 changed from 1 to 2; Precision of column ORI_SH_AVG changed 
               from 3 to 2; Precision of column AIRTEMP_MEAN_450_0_10 changed from 2 to 3; 
               Precision of column AIRTEMP_MAX_450_0_10 changed from 2 to 3; Precision of column 
               AIRTEMP_MIN_450_0_10 changed from 2 to 3; ('apply_template')
            15-Nov-2023: Descriptions of columns Date, RecNum, LOGGERID, PROGID, BATTERY_MEAN, 
               SNOWDEP_INST_0_0_05, SNOWDEP_QUAL, SWE_INST_0_0_05, PRECIP_INST_455_0_02, 
               ORI_SH_AVG, AIRTEMP_MEAN_450_0_10, AIRTEMP_MAX_450_0_10 and AIRTEMP_MIN_450_0_10 
               edited; ('apply_template')
            15-Nov-2023: added column 'Site' at position 1 ('addcol')
            15-Nov-2023: sorted by column Date(ascending) ('sortdata')
            15-Nov-2023: removed 12 row(s) with duplicate values in the column(s) Date 
               ('cleardupes')
            15-Nov-2023: inserted 7775 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')
            15-Nov-2023: sorted by column Date(ascending) ('sortdata')
            15-Nov-2023: Year, Month, Day, Hour and Minute datetime columns added after column Date 
               ('add_datepartcols')
            15-Nov-2023: sorted by columns Month(ascending), Day(ascending), Hour(ascending) 
               ('sortdata')
            15-Nov-2023: 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, BATTERY_MEAN, BATTERY_V_CHECK, SNOWDEP_INST_0_0_05, 
               SNOWDEPTH_CHECK, SNOWDEP_QUAL, SWE_INST_0_0_05, SWE_CHECK, PRECIP_INST_455_0_02, 
               ORI_SH_AVG, PUMPVOLTS_Avg, PUMPVOLTS_CHECK, AIRTEMP_MEAN_450_0_10, 
               AIRTEMP_MAX_450_0_10 and AIRTEMP_MIN_450_0_10 from the first structure and column(s) 
               MEAN, STD, MIN, MAX, MEDIAN, FOURLO and FOURHI from the second structure (105120 
               rows) ('joindata')
            15-Nov-2023: sorted by column Date(ascending) ('sortdata')
            15-Nov-2023: imported all documentation metadata from the template 'LNDB_VarMet_3', 
               updating descriptors for columns Date, RecNum, LOGGERID, PROGID, BATTERY_MEAN, 
               SNOWDEP_INST_0_0_05, SNOWDEP_QUAL, SWE_INST_0_0_05, PRECIP_INST_455_0_02, 
               ORI_SH_AVG, AIRTEMP_MEAN_450_0_10, AIRTEMP_MAX_450_0_10 and AIRTEMP_MIN_450_0_10 
               ('meta_template')
            15-Nov-2023: updated 16 metadata fields in the Data, Dataset, Project, Site, Status, 
               Study, Supplement section(s) ('addmeta')
            15-Nov-2023: updated title ('newtitle')
            15-Nov-2023: Q/C flagging criteria applied, 'flags' field updated ('dataflag')
            15-Nov-2023: 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 RecNum changed from 
               'x<0='I';isnan(x)='M';manual' to 'x<0='I';isnan(x)='M''; Q/C Criteria of column 
               LOGGERID changed from 'flag_notinarray(x,[301,302])='I';isnan(x)='M';manual' to 
               'flag_notinarray(x,[301,302])='I';isnan(x)='M''; Q/C Criteria of column BATTERY_MEAN 
               changed from 'x<0='I';x<11.5='L';x>16='H';isnan(x)='M';manual' to 
               'x<0='I';x<11.5='L';x>16='H';isnan(x)='M''; Q/C Criteria of column SNOWDEP_QUAL 
               changed from 'isnan(x)='M';manual' to 'isnan(x)='M''; ('apply_template')
            15-Nov-2023: deleted columns Month, Day, Hour, Year, Minute, RecNum, MEAN, STD, MIN, 
               MAX, FOURLO, FOURHI and MEDIAN from the structure ('deletecols')
            15-Nov-2023: converted values in all columns assigned QA/QC flag(s) I (Invalid value 
               (out of range)) to NaN/empty, locking and replacing existing flags with 'M': 1133 
               records in SNOWDEP_INST_0_0_05, 93169 records in SWE_INST_0_0_05, 71 records in 
               PRECIP_INST_455_0_02, 660 records in AIRTEMP_MEAN_450_0_10, 683 records in 
               AIRTEMP_MAX_450_0_10, 644 records in AIRTEMP_MIN_450_0_10 ('nullflags')
            15-Nov-2023: sorted by column Date(ascending) ('sortdata')
            15-Nov-2023: replaced 1301 missing values in column SNOWDEP_INST_0_0_05 with estimated 
               values based on 1D interpolation of SNOWDEP_INST_0_0_05 as a function of Date using 
               the MATLAB 9.912 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')
            15-Nov-2023: 1301 values in 'SNOWDEP_INST_0_0_05' were updated with new values 
               ('update_data'): changed record 4888 from NaN to -0.1450, changed record 8200 from 
               NaN to -0.2260, changed record 8201 from NaN to -0.2240, changed record 8227 from 
               NaN to -0.2245, changed record 8245 from NaN to -0.2235, changed record 8515 from 
               NaN to -0.2230, changed record 8516 from NaN to -0.2230, changed record 8517 from 
               NaN to -0.2230, changed record 8766 from NaN to -0.2230, changed record 8773 from 
               NaN to -0.2190, changed record 13648 from NaN to -0.1842, changed record 13649 from 
               NaN to -0.1875, changed record 13650 from NaN to -0.1908, changed record 13941 from 
               NaN to -0.1595, changed record 15501 from NaN to -0.0560, changed record 15504 from 
               NaN to -0.0345, changed record 15508 from NaN to -0.0250, changed record 15510 from 
               NaN to 0.0017, changed record 15511 from NaN to -0.0007, changed record 15513 from 
               NaN to -0.0010, changed record 15515 from NaN to 0.0035, changed record 15517 from 
               NaN to 0.0080, changed record 17109 from NaN to 0.2315, changed record 17110 from 
               NaN to 0.2270, changed record 17111 from NaN to 0.2225, changed record 17133 from 
               NaN to 0.2312, changed record 17134 from NaN to 0.2294, changed record 17135 from 
               NaN to 0.2276, changed record 17136 from NaN to 0.2258, changed record 17144 from 
               NaN to 0.2218, changed record 17145 from NaN to 0.2217, changed record 17146 from 
               NaN to 0.2215, changed record 17147 from NaN to 0.2213, changed record 17148 from 
               NaN to 0.2212, changed record 17170 from NaN to 0.2187, changed record 17171 from 
               NaN to 0.2193, changed record 17326 from NaN to 0.2670, changed record 17428 from 
               NaN to 0.3145, changed record 17443 from NaN to 0.3390, changed record 18308 from 
               NaN to 0.3700, changed record 18309 from NaN to 0.3660, changed record 19164 from 
               NaN to 0.7395, changed record 19175 from NaN to 0.7960, changed record 19271 from 
               NaN to 0.6805, changed record 19278 from NaN to 0.7407, changed record 19279 from 
               NaN to 0.7535, changed record 19280 from NaN to 0.7662, changed record 19290 from 
               NaN to 0.7355, changed record 19316 from NaN to 0.7770, changed record 19474 from 
               NaN to 0.7465, changed record 19524 from NaN to 0.7665, changed record 19539 from 
               NaN to 0.7215, changed record 19664 from NaN to 0.7170, changed record 20898 from 
               NaN to 1.2460, changed record 20912 from NaN to 1.2455, changed record 21134 from 
               NaN to 1.2143, changed record 21135 from NaN to 1.2127, changed record 21136 from 
               NaN to 1.2110, changed record 21137 from NaN to 1.2093, changed record 21138 from 
               NaN to 1.2077, changed record 21180 from NaN to 1.1470, changed record 21182 from 
               NaN to 1.1585, changed record 21195 from NaN to 1.1825, changed record 22591 from 
               NaN to 1.1938, changed record 22592 from NaN to 1.1855, changed record 22593 from 
               NaN to 1.1773, changed record 22606 from NaN to 1.2005, changed record 22607 from 
               NaN to 1.1980, changed record 22608 from NaN to 1.1955, changed record 22619 from 
               NaN to 1.1807, changed record 22620 from NaN to 1.1813, changed record 22621 from 
               NaN to 1.1820, changed record 22622 from NaN to 1.1827, changed record 22623 from 
               NaN to 1.1833, changed record 23440 from NaN to 1.1820, changed record 23441 from 
               NaN to 1.1800, changed record 23442 from NaN to 1.1780, changed record 23471 from 
               NaN to 1.1848, changed record 23472 from NaN to 1.1795, changed record 23473 from 
               NaN to 1.1743, changed record 23484 from NaN to 1.1647, changed record 23485 from 
               NaN to 1.1653, changed record 23486 from NaN to 1.1660, changed record 23487 from 
               NaN to 1.1667, changed record 23488 from NaN to 1.1673, changed record 23727 from 
               NaN to 1.1574, changed record 23728 from NaN to 1.1568, changed record 23729 from 
               NaN to 1.1562, changed record 23730 from NaN to 1.1556, changed record 24623 from 
               NaN to 1.2914, changed record 24624 from NaN to 1.2908, changed record 24625 from 
               NaN to 1.2902, changed record 24626 from NaN to 1.2896, changed record 24636 from 
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               NaN to -0.3747, changed record 90291 from NaN to -0.0753, changed record 90294 from 
               NaN to -0.0785, changed record 90296 from NaN to -0.1565, changed record 90299 from 
               NaN to -0.1845, changed record 90301 from NaN to -0.0380, changed record 90313 from 
               NaN to 0.2830, changed record 90329 from NaN to 0.2595, changed record 90331 from 
               NaN to 0.0675, changed record 90333 from NaN to 0.1220, changed record 90335 from 
               NaN to 0.3155, changed record 90634 from NaN to 0.3070, changed record 90636 from 
               NaN to 0.3125, changed record 92636 from NaN to 0.1270, changed record 92902 from 
               NaN to 0.1880, changed record 92924 from NaN to 0.2270, changed record 92928 from 
               NaN to 0.4075, changed record 92957 from NaN to 0.0050, changed record 93114 from 
               NaN to 0.4020, changed record 93128 from NaN to 0.4300, changed record 93160 from 
               NaN to 0.0065, changed record 93191 from NaN to 0.0185, changed record 93195 from 
               NaN to -0.0315, changed record 93221 from NaN to 0.4265, changed record 93298 from 
               NaN to 0.4210, changed record 93311 from NaN to 0.4140, changed record 93323 from 
               NaN to 0.2235, changed record 93363 from NaN to -0.1650, changed record 93384 from 
               NaN to 0.4120, changed record 93445 from NaN to 0.1730, changed record 93464 from 
               NaN to 0.1430, changed record 93521 from NaN to -0.1625, changed record 93533 from 
               NaN to 0.0985, changed record 93538 from NaN to 0.2380, changed record 93550 from 
               NaN to 0.1535, changed record 93573 from NaN to 0.2330, changed record 93589 from 
               NaN to 0.0125, changed record 93616 from NaN to 0.0025, changed record 93622 from 
               NaN to 0.0260, changed record 93628 from NaN to 0.2020, changed record 93634 from 
               NaN to 0.0200, changed record 93642 from NaN to -0.1615, changed record 93657 from 
               NaN to 0.0320, changed record 93658 from NaN to 0.1690, changed record 93659 from 
               NaN to 0.3060, changed record 93703 from NaN to 0.0035, changed record 93719 from 
               NaN to 0.0005, changed record 93721 from NaN to -0.0025, changed record 93724 from 
               NaN to 0.1310, changed record 93725 from NaN to 0.2290, changed record 93726 from 
               NaN to 0.3270, changed record 93742 from NaN to -0.0160, changed record 93750 from 
               NaN to 0.3905, changed record 93753 from NaN to 0.0040, changed record 93755 from 
               NaN to 0.1420, changed record 93768 from NaN to -0.1705, changed record 93783 from 
               NaN to 0.2745, changed record 93795 from NaN to 0.2160, changed record 93878 from 
               NaN to 0.4410, changed record 93884 from NaN to 0.3905, changed record 93890 from 
               NaN to 0.2320, changed record 93897 from NaN to 0.2445, changed record 93909 from 
               NaN to 0.3840, changed record 93917 from NaN to 0.0180, changed record 93944 from 
               NaN to -0.1830, changed record 93970 from NaN to -0.1785, changed record 93996 from 
               NaN to 0.3980, changed record 94010 from NaN to 0.0505, changed record 94019 from 
               NaN to 0.4075, changed record 94025 from NaN to 0.2170, changed record 94034 from 
               NaN to 0.3770, changed record 94035 from NaN to 0.3590, changed record 94040 from 
               NaN to 0.2035, changed record 94054 from NaN to -0.0420, changed record 94057 from 
               NaN to 0.3640, changed record 94077 from NaN to 0.3845, changed record 96034 from 
               NaN to -0.2290, changed record 96035 from NaN to -0.2340
            15-Nov-2023: Q/C flagging criteria applied for column(s) SNOWDEP_INST_0_0_05, 'flags' 
               field updated ('dataflag')
            15-Nov-2023: replaced 9 missing values in column SWE_INST_0_0_05 with estimated values 
               based on 1D interpolation of SWE_INST_0_0_05 as a function of Date using the MATLAB 
               9.912 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')
            15-Nov-2023: 9 values in 'SWE_INST_0_0_05' were updated with new values 
               ('update_data'): changed record 8200 from NaN to 732.1666, changed record 8201 from 
               NaN to 728.7333, changed record 8227 from NaN to 724.3500, changed record 8245 from 
               NaN to 728.9000, changed record 8515 from NaN to 731.0250, changed record 8516 from 
               NaN to 730.4500, changed record 8517 from NaN to 729.8750, changed record 8766 from 
               NaN to 724.3500, changed record 8773 from NaN to 725.9000
            15-Nov-2023: Q/C flagging criteria applied for column(s) SWE_INST_0_0_05, 'flags' field 
               updated ('dataflag')
            15-Nov-2023: replaced 183 missing values in column PRECIP_INST_455_0_02 with estimated 
               values based on 1D interpolation of PRECIP_INST_455_0_02 as a function of Date using 
               the MATLAB 9.912 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')
            15-Nov-2023: 183 values in 'PRECIP_INST_455_0_02' were updated with new values 
               ('update_data'): changed record 8200 from NaN to 90.40, changed record 8201 from NaN 
               to 90.40, changed record 8227 from NaN to 90.20, changed record 8245 from NaN to 
               90.15, changed record 8515 from NaN to 93.10, changed record 8516 from NaN to 93.10, 
               changed record 8517 from NaN to 93.10, changed record 8766 from NaN to 106.40, 
               changed record 8773 from NaN to 106.50, changed record 13648 from NaN to 174.35, 
               changed record 13649 from NaN to 174.40, changed record 13650 from NaN to 174.45, 
               changed record 13941 from NaN to 174.30, changed record 17109 from NaN to 316.53, 
               changed record 17110 from NaN to 316.55, changed record 17111 from NaN to 316.58, 
               changed record 17133 from NaN to 316.44, changed record 17134 from NaN to 316.48, 
               changed record 17135 from NaN to 316.52, changed record 17136 from NaN to 316.56, 
               changed record 17144 from NaN to 316.63, changed record 17145 from NaN to 316.67, 
               changed record 17146 from NaN to 316.70, changed record 17147 from NaN to 316.73, 
               changed record 17148 from NaN to 316.77, changed record 17170 from NaN to 316.60, 
               changed record 17171 from NaN to 316.60, changed record 17443 from NaN to 331.75, 
               changed record 18308 from NaN to 347.77, changed record 18309 from NaN to 347.73, 
               changed record 19164 from NaN to 403.30, changed record 19474 from NaN to 30.36, 
               changed record 20898 from NaN to 168.85, changed record 20912 from NaN to 169.20, 
               changed record 21134 from NaN to 169.15, changed record 21135 from NaN to 169.20, 
               changed record 21136 from NaN to 169.25, changed record 21137 from NaN to 169.30, 
               changed record 21138 from NaN to 169.35, changed record 21180 from NaN to 169.60, 
               changed record 21182 from NaN to 169.60, changed record 21195 from NaN to 169.45, 
               changed record 22591 from NaN to 221.55, changed record 22592 from NaN to 221.60, 
               changed record 22593 from NaN to 221.65, changed record 22606 from NaN to 221.90, 
               changed record 22607 from NaN to 221.90, changed record 22608 from NaN to 221.90, 
               changed record 22619 from NaN to 221.90, changed record 22620 from NaN to 221.90, 
               changed record 22621 from NaN to 221.90, changed record 22622 from NaN to 221.90, 
               changed record 22623 from NaN to 221.90, changed record 23440 from NaN to 272.82, 
               changed record 23441 from NaN to 272.85, changed record 23442 from NaN to 272.87, 
               changed record 23471 from NaN to 273.27, changed record 23472 from NaN to 273.25, 
               changed record 23473 from NaN to 273.23, changed record 23484 from NaN to 273.00, 
               changed record 23485 from NaN to 273.00, changed record 23486 from NaN to 273.00, 
               changed record 23487 from NaN to 273.00, changed record 23488 from NaN to 273.00, 
               changed record 23727 from NaN to 272.76, changed record 23728 from NaN to 272.72, 
               changed record 23729 from NaN to 272.68, changed record 23730 from NaN to 272.64, 
               changed record 24623 from NaN to 294.42, changed record 24624 from NaN to 294.44, 
               changed record 24625 from NaN to 294.46, changed record 24626 from NaN to 294.48, 
               changed record 24636 from NaN to 294.47, changed record 24637 from NaN to 294.43, 
               changed record 24638 from NaN to 294.40, changed record 24639 from NaN to 294.37, 
               changed record 24640 from NaN to 294.33, changed record 24900 from NaN to 294.27, 
               changed record 24901 from NaN to 294.33, changed record 24941 from NaN to 294.30, 
               changed record 24942 from NaN to 294.30, changed record 24943 from NaN to 294.30, 
               changed record 24944 from NaN to 294.30, changed record 24945 from NaN to 294.30, 
               changed record 24947 from NaN to 294.26, changed record 24948 from NaN to 294.22, 
               changed record 24949 from NaN to 294.18, changed record 24950 from NaN to 294.14, 
               changed record 26080 from NaN to 339.50, changed record 26081 from NaN to 339.50, 
               changed record 26098 from NaN to 339.40, changed record 26341 from NaN to 339.70, 
               changed record 26342 from NaN to 339.70, changed record 27517 from NaN to 352.67, 
               changed record 27518 from NaN to 352.63, changed record 27760 from NaN to 27.84, 
               changed record 27761 from NaN to 27.87, changed record 27762 from NaN to 27.91, 
               changed record 27763 from NaN to 27.95, changed record 27764 from NaN to 27.98, 
               changed record 27792 from NaN to 27.91, changed record 27793 from NaN to 27.91, 
               changed record 27794 from NaN to 27.91, changed record 27795 from NaN to 27.91, 
               changed record 27805 from NaN to 27.90, changed record 27806 from NaN to 27.90, 
               changed record 27807 from NaN to 27.89, changed record 27808 from NaN to 27.88, 
               changed record 27809 from NaN to 27.88, changed record 28073 from NaN to 28.06, 
               changed record 28074 from NaN to 28.06, changed record 29821 from NaN to 130.48, 
               changed record 29822 from NaN to 130.46, changed record 29823 from NaN to 130.44, 
               changed record 29824 from NaN to 130.42, changed record 30376 from NaN to 130.30, 
               changed record 30379 from NaN to 130.55, changed record 30663 from NaN to 130.50, 
               changed record 30666 from NaN to 130.55, changed record 30681 from NaN to 130.80, 
               changed record 30954 from NaN to 130.70, changed record 30955 from NaN to 130.70, 
               changed record 31232 from NaN to 130.50, changed record 31234 from NaN to 130.50, 
               changed record 31236 from NaN to 130.50, changed record 31237 from NaN to 130.50, 
               changed record 31238 from NaN to 130.50, changed record 31239 from NaN to 130.50, 
               changed record 31851 from NaN to 178.20, changed record 31852 from NaN to 178.20, 
               changed record 31854 from NaN to 178.15, changed record 31855 from NaN to 178.10, 
               changed record 31856 from NaN to 178.05, changed record 31860 from NaN to 178.07, 
               changed record 31861 from NaN to 178.13, changed record 31863 from NaN to 178.10, 
               changed record 31865 from NaN to 178.00, changed record 31867 from NaN to 178.00, 
               changed record 32127 from NaN to 179.57, changed record 32128 from NaN to 179.63, 
               changed record 32131 from NaN to 179.60, changed record 32132 from NaN to 179.60, 
               changed record 32133 from NaN to 179.60, changed record 32137 from NaN to 179.57, 
               changed record 32138 from NaN to 179.63, changed record 33020 from NaN to 191.30, 
               changed record 33021 from NaN to 191.30, changed record 33022 from NaN to 191.30, 
               changed record 33023 from NaN to 191.30, changed record 33585 from NaN to 191.40, 
               changed record 33587 from NaN to 191.47, changed record 33588 from NaN to 191.43, 
               changed record 33592 from NaN to 191.30, changed record 33596 from NaN to 191.30, 
               changed record 33821 from NaN to 191.30, changed record 35864 from NaN to 191.40, 
               changed record 35865 from NaN to 191.40, changed record 35895 from NaN to 191.32, 
               changed record 35896 from NaN to 191.34, changed record 35897 from NaN to 191.36, 
               changed record 35898 from NaN to 191.38, changed record 35900 from NaN to 191.40, 
               changed record 35901 from NaN to 191.40, changed record 36132 from NaN to 191.50, 
               changed record 36133 from NaN to 191.50, changed record 36134 from NaN to 191.50, 
               changed record 36137 from NaN to 191.50, changed record 36138 from NaN to 191.50, 
               changed record 36139 from NaN to 191.50, changed record 36140 from NaN to 191.50, 
               changed record 36141 from NaN to 191.50, changed record 36143 from NaN to 191.60, 
               changed record 36155 from NaN to 191.75, changed record 36156 from NaN to 191.70, 
               changed record 36157 from NaN to 191.65, changed record 36165 from NaN to 191.65, 
               changed record 36743 from NaN to 191.70, changed record 36758 from NaN to 191.60, 
               changed record 36759 from NaN to 191.60, changed record 36760 from NaN to 191.60, 
               changed record 89046 from NaN to 30.43, changed record 96034 from NaN to 30.87, 
               changed record 96035 from NaN to 30.88
            15-Nov-2023: Q/C flagging criteria applied for column(s) PRECIP_INST_455_0_02, 'flags' 
               field updated ('dataflag')
            15-Nov-2023: replaced 192 missing values in column AIRTEMP_MEAN_450_0_10 with estimated 
               values based on 1D interpolation of AIRTEMP_MEAN_450_0_10 as a function of Date 
               using the MATLAB 9.912 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')
            15-Nov-2023: 192 values in 'AIRTEMP_MEAN_450_0_10' were updated with new values 
               ('update_data'): changed record 8200 from NaN to 7.941, changed record 8201 from NaN 
               to 7.933, changed record 8227 from NaN to 8.530, changed record 8245 from NaN to 
               8.090, changed record 8515 from NaN to 7.238, changed record 8516 from NaN to 7.295, 
               changed record 8517 from NaN to 7.352, changed record 8766 from NaN to 3.954, 
               changed record 8773 from NaN to 3.942, changed record 13648 from NaN to 0.375, 
               changed record 13649 from NaN to 0.788, changed record 13650 from NaN to 1.200, 
               changed record 13941 from NaN to 0.123, changed record 14875 from NaN to 1.586, 
               changed record 17109 from NaN to 0.398, changed record 17110 from NaN to 0.886, 
               changed record 17111 from NaN to 1.373, changed record 17133 from NaN to 1.163, 
               changed record 17134 from NaN to 1.163, changed record 17135 from NaN to 1.163, 
               changed record 17136 from NaN to 1.163, changed record 17144 from NaN to 1.192, 
               changed record 17145 from NaN to 1.439, changed record 17146 from NaN to 1.687, 
               changed record 17147 from NaN to 1.935, changed record 17148 from NaN to 2.182, 
               changed record 17170 from NaN to 0.938, changed record 17171 from NaN to 0.827, 
               changed record 17443 from NaN to 0.319, changed record 18308 from NaN to 0.045, 
               changed record 18309 from NaN to 0.184, changed record 19164 from NaN to -1.684, 
               changed record 19474 from NaN to -7.260, changed record 20898 from NaN to -0.864, 
               changed record 20912 from NaN to -1.187, changed record 21134 from NaN to -4.378, 
               changed record 21135 from NaN to -4.125, changed record 21136 from NaN to -3.872, 
               changed record 21137 from NaN to -3.618, changed record 21138 from NaN to -3.365, 
               changed record 21180 from NaN to -1.827, changed record 21182 from NaN to -1.992, 
               changed record 21195 from NaN to -2.049, changed record 22591 from NaN to 0.275, 
               changed record 22592 from NaN to 0.645, changed record 22593 from NaN to 1.016, 
               changed record 22606 from NaN to -0.479, changed record 22607 from NaN to -0.120, 
               changed record 22608 from NaN to 0.240, changed record 22619 from NaN to 0.652, 
               changed record 22620 from NaN to 0.784, changed record 22621 from NaN to 0.915, 
               changed record 22622 from NaN to 1.047, changed record 22623 from NaN to 1.179, 
               changed record 23440 from NaN to 0.371, changed record 23441 from NaN to 0.851, 
               changed record 23442 from NaN to 1.330, changed record 23471 from NaN to 5.508, 
               changed record 23472 from NaN to 5.576, changed record 23473 from NaN to 5.644, 
               changed record 23484 from NaN to 5.628, changed record 23485 from NaN to 6.068, 
               changed record 23486 from NaN to 6.508, changed record 23487 from NaN to 6.947, 
               changed record 23488 from NaN to 7.387, changed record 23727 from NaN to 1.389, 
               changed record 23728 from NaN to 1.854, changed record 23729 from NaN to 2.320, 
               changed record 23730 from NaN to 2.785, changed record 24623 from NaN to -2.160, 
               changed record 24624 from NaN to -1.975, changed record 24625 from NaN to -1.791, 
               changed record 24626 from NaN to -1.606, changed record 24636 from NaN to -1.443, 
               changed record 24637 from NaN to -1.337, changed record 24638 from NaN to -1.231, 
               changed record 24639 from NaN to -1.126, changed record 24640 from NaN to -1.020, 
               changed record 24900 from NaN to 0.006, changed record 24901 from NaN to -0.155, 
               changed record 24941 from NaN to -0.100, changed record 24942 from NaN to -0.072, 
               changed record 24943 from NaN to -0.043, changed record 24944 from NaN to -0.014, 
               changed record 24945 from NaN to 0.014, changed record 24947 from NaN to -0.144, 
               changed record 24948 from NaN to -0.331, changed record 24949 from NaN to -0.519, 
               changed record 24950 from NaN to -0.706, changed record 26080 from NaN to -0.221, 
               changed record 26081 from NaN to 0.099, changed record 26098 from NaN to -0.274, 
               changed record 26341 from NaN to 2.216, changed record 26342 from NaN to 1.914, 
               changed record 27517 from NaN to -8.943, changed record 27518 from NaN to -8.917, 
               changed record 27760 from NaN to -10.888, changed record 27761 from NaN to -10.577, 
               changed record 27762 from NaN to -10.265, changed record 27763 from NaN to -9.953, 
               changed record 27764 from NaN to -9.642, changed record 27792 from NaN to -5.777, 
               changed record 27793 from NaN to -5.593, changed record 27794 from NaN to -5.410, 
               changed record 27795 from NaN to -5.226, changed record 27805 from NaN to -4.591, 
               changed record 27806 from NaN to -4.446, changed record 27807 from NaN to -4.301, 
               changed record 27808 from NaN to -4.155, changed record 27809 from NaN to -4.010, 
               changed record 28073 from NaN to -1.814, changed record 28074 from NaN to -1.844, 
               changed record 29821 from NaN to -2.508, changed record 29822 from NaN to -2.277, 
               changed record 29823 from NaN to -2.046, changed record 29824 from NaN to -1.815, 
               changed record 30376 from NaN to -0.624, changed record 30379 from NaN to -0.610, 
               changed record 30663 from NaN to 6.283, changed record 30666 from NaN to 4.490, 
               changed record 30681 from NaN to 4.812, changed record 30954 from NaN to 9.870, 
               changed record 30955 from NaN to 9.660, changed record 31232 from NaN to 8.485, 
               changed record 31234 from NaN to 8.250, changed record 31236 from NaN to 8.114, 
               changed record 31237 from NaN to 8.138, changed record 31238 from NaN to 8.162, 
               changed record 31239 from NaN to 8.186, changed record 31851 from NaN to 0.338, 
               changed record 31852 from NaN to 0.308, changed record 31854 from NaN to 0.319, 
               changed record 31855 from NaN to 0.360, changed record 31856 from NaN to 0.400, 
               changed record 31860 from NaN to 0.331, changed record 31861 from NaN to 0.331, 
               changed record 31863 from NaN to 0.349, changed record 31865 from NaN to 0.405, 
               changed record 31867 from NaN to 0.353, changed record 32127 from NaN to 1.122, 
               changed record 32128 from NaN to 1.233, changed record 32131 from NaN to 1.266, 
               changed record 32132 from NaN to 1.141, changed record 32133 from NaN to 1.015, 
               changed record 32137 from NaN to 0.831, changed record 32138 from NaN to 0.802, 
               changed record 33020 from NaN to -0.504, changed record 33021 from NaN to -0.597, 
               changed record 33022 from NaN to -0.689, changed record 33023 from NaN to -0.782, 
               changed record 33585 from NaN to -0.843, changed record 33587 from NaN to -0.921, 
               changed record 33588 from NaN to -0.907, changed record 33592 from NaN to -0.955, 
               changed record 33596 from NaN to -0.863, changed record 33821 from NaN to 0.159, 
               changed record 35864 from NaN to -4.412, changed record 35865 from NaN to -4.344, 
               changed record 35895 from NaN to -4.071, changed record 35896 from NaN to -4.073, 
               changed record 35897 from NaN to -4.076, changed record 35898 from NaN to -4.078, 
               changed record 35900 from NaN to -4.160, changed record 35901 from NaN to -4.239, 
               changed record 36132 from NaN to 2.911, changed record 36133 from NaN to 3.184, 
               changed record 36134 from NaN to 3.457, changed record 36137 from NaN to 3.456, 
               changed record 36138 from NaN to 3.525, changed record 36139 from NaN to 3.594, 
               changed record 36140 from NaN to 3.662, changed record 36141 from NaN to 3.731, 
               changed record 36143 from NaN to 3.808, changed record 36155 from NaN to 2.492, 
               changed record 36156 from NaN to 2.564, changed record 36157 from NaN to 2.637, 
               changed record 36165 from NaN to 2.501, changed record 36743 from NaN to 3.169, 
               changed record 36758 from NaN to 3.142, changed record 36759 from NaN to 3.111, 
               changed record 36760 from NaN to 3.080, changed record 88873 from NaN to 48.448, 
               changed record 88874 from NaN to 48.747, changed record 88875 from NaN to 49.045, 
               changed record 88876 from NaN to 49.343, changed record 88877 from NaN to 49.642, 
               changed record 89046 from NaN to 27.800, changed record 89409 from NaN to 49.535, 
               changed record 90292 from NaN to 49.955, changed record 92640 from NaN to 28.080, 
               changed record 96034 from NaN to 18.363, changed record 96035 from NaN to 18.567
            15-Nov-2023: Q/C flagging criteria applied for column(s) AIRTEMP_MEAN_450_0_10, 'flags' 
               field updated ('dataflag')
            15-Nov-2023: converted units of 'SNOWDEP_INST_0_0_05' column and 3 QA/QC flag criteria 
               parameters from m to mm ('unit_convert')
            15-Nov-2023: Q/C flagging criteria applied for column(s) SNOWDEP_INST_0_0_05, 'flags' 
               field updated ('dataflag')
            15-Nov-2023: sorted rows by measurement date prior to applying drift corrections 
               ('correct_drift')
            15-Nov-2023: corrected values in column SNOWDEP_INST_0_0_05 for sensor drift over the 
               date range 07-Jul-2015 12:00:00 to 20-Jun-2017 12:00:00 by applying a constant 
               correction of 221 ('correct_drift')
            15-Nov-2023: 71776 values in 'SNOWDEP_INST_0_0_05' were updated with new values 
               ('update_data')
            15-Nov-2023: Q/C flagging criteria applied for column(s) SNOWDEP_INST_0_0_05, 'flags' 
               field updated ('dataflag')
            15-Nov-2023: sorted rows by measurement date prior to applying drift corrections 
               ('correct_drift')
            15-Nov-2023: corrected values in column SWE_INST_0_0_05 for sensor drift over the date 
               range 29-Jun-2016 12:05:00 to 29-Jun-2017 12:00:00 by applying a constant correction 
               of -726 ('correct_drift')
            15-Nov-2023: 9980 values in 'SWE_INST_0_0_05' were updated with new values 
               ('update_data')
            15-Nov-2023: Q/C flagging criteria applied for column(s) SWE_INST_0_0_05, 'flags' field 
               updated ('dataflag')
            15-Nov-2023: documented flagged and missing values in columns Site, PROGID, 
               BATTERY_MEAN, BATTERY_V_CHECK, SNOWDEP_INST_0_0_05, SNOWDEPTH_CHECK, SNOWDEP_QUAL, 
               SWE_INST_0_0_05, SWE_CHECK, PRECIP_INST_455_0_02, ORI_SH_AVG, PUMPVOLTS_Avg, 
               PUMPVOLTS_CHECK, AIRTEMP_MEAN_450_0_10, AIRTEMP_MAX_450_0_10 and 
               AIRTEMP_MIN_450_0_10 as data set anomalies in the metadata ('add_anomalies')
            15-Nov-2023: updated title ('newtitle')
            15-Nov-2023: updated 1 metadata fields in the Dataset section(s) ('addmeta')
            15-Nov-2023: updated title ('newtitle')
            15-Nov-2023: updated 1 metadata fields in the Dataset section(s) ('addmeta')
            15-Nov-2023: added column 'PRECIP_TOT_455_0_02' at position 13 ('addcol')
            15-Nov-2023: manually added an array of custom flags to 105120 records in column(s) 
               PRECIP_TOT_455_0_02 ('addflags')
            15-Nov-2023: locked Q/C flag criteria for column PRECIP_TOT_455_0_02 to prevent 
               automatic evaluation ('flag_locks')
            15-Nov-2023: added column 'PRECIP_ACC_455_0_02' at position 14 ('addcol')
            15-Nov-2023: copied QA/QC flags from column(s) PRECIP_TOT_455_0_02 to column(s) 
               PRECIP_ACC_455_0_02, merging copied flags with any existing flags, and set QA/QC 
               criteria for destination column(s) to 'manual' ('copyflags')
            15-Nov-2023: added column 'SNOWDEP_MED_0_0_05' at position 8 ('addcol')
            15-Nov-2023: Q/C flagging criteria applied for column(s) SNOWDEP_MED_0_0_05, 'flags' 
               field updated ('dataflag')
            15-Nov-2023: copied QA/QC flags from column(s) SNOWDEP_INST_0_0_05 to column(s) 
               SNOWDEP_MED_0_0_05, merging copied flags with any existing flags, and set QA/QC 
               criteria for destination column(s) to 'manual' ('copyflags')
            15-Nov-2023: added column 'SWE_MED_0_0_05' at position 12 ('addcol')
            15-Nov-2023: copied QA/QC flags from column(s) SWE_INST_0_0_05 to column(s) 
               SWE_MED_0_0_05, merging copied flags with any existing flags, and set QA/QC criteria 
               for destination column(s) to 'manual' ('copyflags')
            15-Nov-2023: replaced values matching '(Date > datenum('05/31/2023 12:00:00')&Date < 
               datenum('10/01/2023 00:00:00')) 
          (Date > datenum('06/09/2022 12:00:00')&Date < datenum('10/21/2022 14:00:00')) 
          (Date > datenum('05/14/2021 12:00:00')&Date < datenum('10/31/2021 12:00:00')) 
          (Date > datenum('05/20/2020 12:00:00')&Date < datenum('11/05/2020 12:00:00')) 
          (Date > datenum('05/15/2019 12:00:00')&Date < datenum('11/19/2019 12:00:00')) 
          (Date > datenum('06/01/2018 12:00:00')&Date < datenum('10/25/2018 12:00:00')) 
          (Date > datenum('06/14/2017 12:00:00')&Date < datenum('10/02/2017 12:00:00')) 
          (Date > datenum('05/04/2016 12:00:00')&Date < datenum('11/13/2016 12:00:00')) 
          (Date > datenum('07/06/2015 12:00:00')&Date < datenum('10/31/2015 12:00:00'))' in 
             column(s) SNOWDEP_INST_0_0_05 and SNOWDEP_MED_0_0_05 with 0 ('num_replace')
            15-Nov-2023: 43761 values in 'SNOWDEP_INST_0_0_05' were updated with new values 
               ('update_data')
            15-Nov-2023: Q/C flagging criteria applied for column(s) SNOWDEP_INST_0_0_05, 'flags' 
               field updated ('dataflag')
            15-Nov-2023: 43768 values in 'SNOWDEP_MED_0_0_05' were updated with new values 
               ('update_data')
            15-Nov-2023: Q/C flagging criteria applied for column(s) SNOWDEP_MED_0_0_05, 'flags' 
               field updated ('dataflag')
            15-Nov-2023: replaced values matching '(Date > datenum('05/31/2023 12:00:00')&Date < 
               datenum('10/01/2023 00:00:00')) 
          (Date > datenum('06/09/2022 12:00:00')&Date < datenum('10/21/2022 14:00:00')) 
          (Date > datenum('05/14/2021 12:00:00')&Date < datenum('10/31/2021 12:00:00')) 
          (Date > datenum('05/20/2020 12:00:00')&Date < datenum('11/05/2020 12:00:00')) 
          (Date > datenum('05/15/2019 12:00:00')&Date < datenum('11/19/2019 12:00:00')) 
          (Date > datenum('06/01/2018 12:00:00')&Date < datenum('10/25/2018 12:00:00')) 
          (Date > datenum('06/14/2017 12:00:00')&Date < datenum('10/02/2017 12:00:00')) 
          (Date > datenum('05/04/2016 12:00:00')&Date < datenum('11/13/2016 12:00:00')) 
          (Date > datenum('07/06/2015 12:00:00')&Date < datenum('10/31/2015 12:00:00'))' in 
             column(s) SWE_INST_0_0_05 and SWE_MED_0_0_05 with 0 ('num_replace')
            15-Nov-2023: 43764 values in 'SWE_INST_0_0_05' were updated with new values 
               ('update_data')
            15-Nov-2023: Q/C flagging criteria applied for column(s) SWE_INST_0_0_05, 'flags' field 
               updated ('dataflag')
            15-Nov-2023: 43760 values in 'SWE_MED_0_0_05' were updated with new values 
               ('update_data')
            15-Nov-2023: Q/C flagging criteria applied for column(s) SWE_MED_0_0_05, 'flags' field 
               updated ('dataflag')
            15-Nov-2023: replaced values matching 'SNOWDEP_MED_0_0_05 < 0' in column(s) 
               SNOWDEP_MED_0_0_05 with 0 ('num_replace')
            15-Nov-2023: 5776 values in 'SNOWDEP_MED_0_0_05' were updated with new values 
               ('update_data')
            15-Nov-2023: Q/C flagging criteria applied for column(s) SNOWDEP_MED_0_0_05, 'flags' 
               field updated ('dataflag')
            15-Nov-2023: manually added 'Q' flags to 5776 records in column(s) SNOWDEP_MED_0_0_05 
               ('addflags')
            15-Nov-2023: deleted columns SNOWDEP_QUAL, PUMPVOLTS_Avg, ORI_SH_AVG, BATTERY_MEAN, 
               SWE_CHECK, SNOWDEPTH_CHECK, PUMPVOLTS_CHECK and BATTERY_V_CHECK from the structure 
               ('deletecols')
            15-Nov-2023: deleted column Date from the structure ('deletecols')
            15-Nov-2023: added column 'Date' at position 2 ('addcol')
            15-Nov-2023: flags for columns SNOWDEP_INST_0_0_05, SNOWDEP_MED_0_0_05, 
               SWE_INST_0_0_05, SWE_MED_0_0_05, PRECIP_INST_455_0_02, PRECIP_TOT_455_0_02, 
               PRECIP_ACC_455_0_02, AIRTEMP_MEAN_450_0_10, AIRTEMP_MAX_450_0_10 and 
               AIRTEMP_MIN_450_0_10 converted to data columns, flag codes updated in metadata 
               ('flags2cols')
            15-Nov-2023: updated 6 metadata fields in the Data section(s) ('addmeta')
            15-Nov-2023: updated 15 metadata fields in the Status, Data sections to reflect 
               attribute metadata ('updatecols')
            15-Nov-2023: 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. SNOWDEP_INST_0_0_05
         column  6. Flag_SNOWDEP_INST_0_0_05
         column  7. SNOWDEP_MED_0_0_05
         column  8. Flag_SNOWDEP_MED_0_0_05
         column  9. SWE_INST_0_0_05
         column 10. Flag_SWE_INST_0_0_05
         column 11. SWE_MED_0_0_05
         column 12. Flag_SWE_MED_0_0_05
         column 13. PRECIP_INST_455_0_02
         column 14. Flag_PRECIP_INST_455_0_02
         column 15. PRECIP_TOT_455_0_02
         column 16. Flag_PRECIP_TOT_455_0_02
         column 17. PRECIP_ACC_455_0_02
         column 18. Flag_PRECIP_ACC_455_0_02
         column 19. AIRTEMP_MEAN_450_0_10
         column 20. Flag_AIRTEMP_MEAN_450_0_10
         column 21. AIRTEMP_MAX_450_0_10
         column 22. Flag_AIRTEMP_MAX_450_0_10
         column 23. AIRTEMP_MIN_450_0_10
         column 24. Flag_AIRTEMP_MIN_450_0_10
      2. Variable Definition: 
         column  1. Site code
         column  2. Round off corrected corrected serial date
         column  3. Logger ID
         column  4. Program ID of program
         column  5. Snow depth
         column  6. QA/QC flags for Snow depth (flagging criteria, where "x" is 
            SNOWDEP_INST_0_0_05: isnan(x)="M", x>4500="Q", x>5000="I", x<-5000="I", 
            SNOWDEP_QUAL<=0="I", SNOWDEP_QUAL<162&SNOWDEP_QUAL>0="Q", 
            SNOWDEP_QUAL>=300&SNOWDEP_QUAL<=600="Q", flag_daterange(Date,{"10/30/2015 
            12:00:00","11/05/2015 14:55:00"})="Q", flag_daterange(Date,{"06/03/2022 
            15:20:00","06/09/2022 13:30:00"})="I", flag_daterange(Date,{"10/20/2022 
            10:55:00","10/22/2022 05:05:00"})="Q", manual)
         column  7. 12 point running median of SNOWDEP_INST
         column  8. QA/QC flags for 12 point running median of SNOWDEP_INST (flagging criteria, 
            where "x" is SNOWDEP_MED_0_0_05: Date>=datenum("12/16/2021 
            12:00:00")&Date<=datenum("12/23/2021 12:00:00")="Q", manual)
         column  9. Snow water equivalent
         column 10. QA/QC flags for Snow water equivalent (flagging criteria, where "x" is 
            SWE_INST_0_0_05: isnan(x)="M", Date>=datenum("10/30/2015 
            12:00:00")&Date<=datenum("11/5/2015 14:00:00")="Q", Date>=datenum("11/11/2016 
            12:00:00")&Date<=datenum("11/14/2017 12:00:00")="I", Date>=datenum("09/30/2023 
            12:00:00")="I", manual)
         column 11. 12 point running median of SWE_INST
         column 12. QA/QC flags for 12 point running median of SWE_INST (flagging criteria, where 
            "x" is SWE_MED_0_0_05: manual)
         column 13. Stand alone rain gauge
         column 14. QA/QC flags for Stand alone rain gauge (flagging criteria, where "x" is 
            PRECIP_INST_455_0_02: x<0="I", x>1200="I", ORI_SH_AVG<3.5="T", 
            flag_valuechange(x,100,25,1)="R", isnan(x)="M", Date>=datenum("10/30/2015 
            12:00:00")&Date<=datenum("11/05/2015 14:00:00")="Q", Date>=datenum("12/17/2015 
            12:00:00")&Date<=datenum("01/27/2016 12:00:00")="I", Date>=datenum("02/25/2018 
            22:45:00")&Date<=datenum("02/28/2018 20:00:00")="T", Date>=datenum("02/27/2019 
            16:55:00")&Date<=datenum("10/06/2021 12:10:00")="Q", Date>=datenum("10/06/2021 
            12:15:00")&Date<=datenum("12/14/2021 00:05:00")="Q", Date>=datenum("12/14/2021 
            00:10:00")&Date<=datenum("09/31/2022 00:00:00")="Q", Date>=datenum("12/15/2022 
            11:20:00")&Date<=datenum("12/15/2022 12:25:00")="I", Date>=datenum("10/01/2022 
            00:00:00")="Q", manual)
         column 15. Increment corrected total precipitation
         column 16. QA/QC flags for Increment corrected total precipitation (flagging criteria, 
            where "x" is PRECIP_TOT_455_0_02: manual)
         column 17. Cumulative sum of total precipitation
         column 18. QA/QC flags for Cumulative sum of total precipitation (flagging criteria, where 
            "x" is PRECIP_ACC_455_0_02: manual)
         column 19. Average air temperature at 450 cm
         column 20. QA/QC flags for Average air temperature at 450 cm (flagging criteria, where "x" 
            is AIRTEMP_MEAN_450_0_10: x<=-35="I", x>50="I", x<-18="Q", x>45="Q", 
            flag_valuechange(x,6.5,6.5,1) ="V", flag_valuechange(x,8,8,1) ="I", isnan(x)="M", 
            x<FOURLO="Q", x>FOURHI="Q", Date>=datenum("10/30/2015 
            12:00:00")&Date<=datenum("11/5/2015 14:00:00")="Q", Date>=datenum("05/06/2017 
            08:00:00")&Date<=datenum("08/18/2017 20:00:00")="Q", 
            (AIRTEMP_MAX_450_0_10-AIRTEMP_MEAN_450_0_10)>1="Q",  
            (AIRTEMP_MEAN_450_0_10-AIRTEMP_MIN_450_0_10)>1="Q",  x>AIRTEMP_MAX_450_0_10="I",  
            x<AIRTEMP_MIN_450_0_10=‘I’, manual)
         column 21. Maximum air temperature at 450 cm
         column 22. QA/QC flags for Maximum air temperature at 450 cm (flagging criteria, where "x" 
            is AIRTEMP_MAX_450_0_10: x<=-35="I", x>50="I", x<-18="Q", x>45="Q", 
            flag_valuechange(x,6.5,6.5,1) ="V", flag_valuechange(x,8,8,1) ="I", isnan(x)="M", 
            x<FOURLO="Q", x>FOURHI="Q", Date>=datenum("10/30/2015 
            12:00:00")&Date<=datenum("11/5/2015 14:00:00")="Q", Date>=datenum("05/06/2017 
            08:00:00")&Date<=datenum("08/18/2017 20:00:00")="Q", manual)
         column 23. Minimum air temperature at 450 cm
         column 24. QA/QC flags for Minimum air temperature at 450 cm (flagging criteria, where "x" 
            is AIRTEMP_MIN_450_0_10: x<=-35="I", x>50="I", x<-18="Q", x>45="Q", 
            flag_valuechange(x,6.5,6.5,1) ="V", flag_valuechange(x,8,8,1) ="I", isnan(x)="M", 
            x<FOURLO="Q", x>FOURHI="Q", Date>=datenum("10/30/2015 
            12:00:00")&Date<=datenum("11/5/2015 14:00:00")="Q", Date>=datenum("05/06/2017 
            08:00:00")&Date<=datenum("08/18/2017 20:00:00")="Q", manual)
      3. Units of Measurement: 
         column  1. 
         column  2. yyyy-MM-dd HH:mm:ss
         column  3. none
         column  4. none
         column  5. mm
         column  6. none
         column  7. mm
         column  8. none
         column  9. mm
         column 10. none
         column 11. mm
         column 12. none
         column 13. mm
         column 14. none
         column 15. mm
         column 16. none
         column 17. mm
         column 18. none
         column 19. deg c
         column 20. none
         column 21. deg c
         column 22. none
         column 23. deg c
         column 24. 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
         b. Variable Codes: 
            Flag_SNOWDEP_INST_0_0_05: E = Value estimated by linear interpolation, M = missing 
               value, Q = Questionable value
            Flag_SNOWDEP_MED_0_0_05: E = Value estimated by linear interpolation, M = missing 
               value, Q = Questionable value
            Flag_SWE_INST_0_0_05: E = Value estimated by linear interpolation, M = missing value
            Flag_SWE_MED_0_0_05: E = Value estimated by linear interpolation, M = missing value
            Flag_PRECIP_INST_455_0_02: E = Value estimated by linear interpolation, M = missing 
               value, R = Reduced volume stored in sample tank, T = For methods or hardware related 
               flags. ie. broken shield
            Flag_PRECIP_TOT_455_0_02: F = unspecified, J = unspecified, M = missing value, Q = 
               Questionable value, R = Reduced volume stored in sample tank
            Flag_PRECIP_ACC_455_0_02: F = unspecified, J = unspecified, M = missing value, Q = 
               Questionable value, R = Reduced volume stored in sample tank
            Flag_AIRTEMP_MEAN_450_0_10: E = Value estimated by linear interpolation, M = missing 
               value, Q = Questionable value
            Flag_AIRTEMP_MAX_450_0_10: M = missing value, Q = Questionable value
            Flag_AIRTEMP_MIN_450_0_10: M = missing value, Q = Questionable value
         c. Numeric Range: 
            column  1. (none)
            column  2. (none)
            column  3. 302 to 302
            column  4. 10879 to 57734
            column  5. -90 to 3442.9999
            column  6. (none)
            column  7. 0 to 3432
            column  8. (none)
            column  9. 0 to 0
            column 10. (none)
            column 11. 0 to 0
            column 12. (none)
            column 13. 16.82 to 591
            column 14. (none)
            column 15. 0 to 204.5
            column 16. (none)
            column 17. 0 to 3521.2133
            column 18. (none)
            column 19. -15.03 to 49.99
            column 20. (none)
            column 21. -15.02 to 49.99
            column 22. (none)
            column 23. -15.05 to 49.98
            column 24. (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
         b. Number of Columns: 24
         c. Decimal Places: 
            column  1. 0
            column  2. 0
            column  3. 0
            column  4. 1
            column  5. 4
            column  6. 0
            column  7. 2
            column  8. 0
            column  9. 4
            column 10. 0
            column 11. 2
            column 12. 0
            column 13. 2
            column 14. 0
            column 15. 2
            column 16. 0
            column 17. 2
            column 18. 0
            column 19. 3
            column 20. 0
            column 21. 3
            column 22. 0
            column 23. 3
            column 24. 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)
      7. Flagging Criteria: 
         column  1. manually-assigned flags
         column  2. none
         column  3. flag_notinarray(x,[301,302])="I";isnan(x)="M"
         column  4. flag_valuechange(x,0.1,0.1,1)="P";isnan(x)="M"
         column  5. 
            isnan(x)="M";x>4500="Q";x>5000="I";x<-5000="I";col_SNOWDEP_QUAL<=0="I";col_SNOWDEP_QUAL<
            162&col_SNOWDEP_QUAL>0="Q";col_SNOWDEP_QUAL>=300&col_SNOWDEP_QUAL<=600="Q";flag_daterang
            e(col_Date,{"10/30/2015 12:00:00","11/05/2015 
            14:55:00"})="Q";flag_daterange(col_Date,{"06/03/2022 15:20:00","06/09/2022 
            13:30:00"})="I";flag_daterange(col_Date,{"10/20/2022 10:55:00","10/22/2022 
            05:05:00"})="Q";manually-assigned flags
         column  6. none
         column  7. col_Date>=datenum("12/16/2021 12:00:00")&col_Date<=datenum("12/23/2021 
            12:00:00")="Q";manually-assigned flags
         column  8. none
         column  9. isnan(x)="M";col_Date>=datenum("10/30/2015 
            12:00:00")&col_Date<=datenum("11/5/2015 14:00:00")="Q";col_Date>=datenum("11/11/2016 
            12:00:00")&col_Date<=datenum("11/14/2017 12:00:00")="I";col_Date>=datenum("09/30/2023 
            12:00:00")="I";manually-assigned flags
         column 10. none
         column 11. manually-assigned flags
         column 12. none
         column 13. 
            x<0="I";x>1200="I";col_ORI_SH_AVG<3.5="T";flag_valuechange(x,100,25,1)="R";isnan(x)="M";
            col_Date>=datenum("10/30/2015 12:00:00")&col_Date<=datenum("11/05/2015 
            14:00:00")="Q";col_Date>=datenum("12/17/2015 12:00:00")&col_Date<=datenum("01/27/2016 
            12:00:00")="I";col_Date>=datenum("02/25/2018 22:45:00")&col_Date<=datenum("02/28/2018 
            20:00:00")="T";col_Date>=datenum("02/27/2019 16:55:00")&col_Date<=datenum("10/06/2021 
            12:10:00")="Q";col_Date>=datenum("10/06/2021 12:15:00")&col_Date<=datenum("12/14/2021 
            00:05:00")="Q";col_Date>=datenum("12/14/2021 00:10:00")&col_Date<=datenum("09/31/2022 
            00:00:00")="Q";col_Date>=datenum("12/15/2022 11:20:00")&col_Date<=datenum("12/15/2022 
            12:25:00")="I";col_Date>=datenum("10/01/2022 00:00:00")="Q";manually-assigned flags
         column 14. none
         column 15. manually-assigned flags
         column 16. none
         column 17. manually-assigned flags
         column 18. none
         column 19. x<=-35="I";x>50="I";x<-18="Q";x>45="Q";flag_valuechange(x,6.5,6.5,1) 
            ="V";flag_valuechange(x,8,8,1) 
            ="I";isnan(x)="M";x<col_FOURLO="Q";x>col_FOURHI="Q";col_Date>=datenum("10/30/2015 
            12:00:00")&col_Date<=datenum("11/5/2015 14:00:00")="Q";col_Date>=datenum("05/06/2017 
            08:00:00")&col_Date<=datenum("08/18/2017 
            20:00:00")="Q";(col_AIRTEMP_MAX_450_0_10-col_AIRTEMP_MEAN_450_0_10)>1="Q"; 
            (col_AIRTEMP_MEAN_450_0_10-col_AIRTEMP_MIN_450_0_10)>1="Q"; 
            x>col_AIRTEMP_MAX_450_0_10="I"; x<col_AIRTEMP_MIN_450_0_10=‘I’;manually-assigned flags
         column 20. none
         column 21. x<=-35="I";x>50="I";x<-18="Q";x>45="Q";flag_valuechange(x,6.5,6.5,1) 
            ="V";flag_valuechange(x,8,8,1) 
            ="I";isnan(x)="M";x<col_FOURLO="Q";x>col_FOURHI="Q";col_Date>=datenum("10/30/2015 
            12:00:00")&col_Date<=datenum("11/5/2015 14:00:00")="Q";col_Date>=datenum("05/06/2017 
            08:00:00")&col_Date<=datenum("08/18/2017 20:00:00")="Q";manually-assigned flags
         column 22. none
         column 23. x<=-35="I";x>50="I";x<-18="Q";x>45="Q";flag_valuechange(x,6.5,6.5,1) 
            ="V";flag_valuechange(x,8,8,1) 
            ="I";isnan(x)="M";x<col_FOURLO="Q";x>col_FOURHI="Q";col_Date>=datenum("10/30/2015 
            12:00:00")&col_Date<=datenum("11/5/2015 14:00:00")="Q";col_Date>=datenum("05/06/2017 
            08:00:00")&col_Date<=datenum("08/18/2017 20:00:00")="Q";manually-assigned flags
         column 24. none
   C. Data Anomalies: Converted values in all columns assigned QA/QC flag(s) I (Invalid value (out 
      of range)) to NaN/empty, locking and replacing existing flags with 'M': 1133 records in 
      SNOWDEP_INST_0_0_05, 93169 records in SWE_INST_0_0_05, 71 records in PRECIP_INST_455_0_02, 
      660 records in AIRTEMP_MEAN_450_0_10, 683 records in AIRTEMP_MAX_450_0_10, 644 records in 
      AIRTEMP_MIN_450_0_10. Values of 7775 records in Site were flagged as M (missing value) for 
      dates: 10/11/2016, 10/18/2016-10/25/2016, 10/29/2016, 10/30/2016, 10/31/2016, 11/17/2016, 
      11/18/2016, 11/22/2016, 11/29/2016, 11/30/2016, 12/03/2016, 12/06/2016, 12/07/2016, 
      12/12/2016, 12/13/2016, 12/18/2016, 12/20/2016, 12/21/2016, 12/22/2016, 12/25/2016, 
      12/26/2016, 12/28/2016, 12/29/2016, 12/30/2016, 12/31/2016, 01/04/2017, 01/05/2017, 
      01/06/2017, 01/12/2017, 01/13/2017, 01/14/2017, 01/15/2017, 01/16/2017, 01/17/2017, 
      01/19/2017, 01/20/2017, 01/22/2017, 01/23/2017, 01/24/2017, 01/25/2017, 01/26/2017, 
      01/27/2017, 01/28/2017, 01/29/2017, 01/30/2017, 02/01/2017, 02/02/2017, 02/03/2017, 
      02/05/2017, 02/11/2017, 02/12/2017, 02/13/2017, 03/12/2017, 08/06/2017, 
      08/10/2017-08/11/2017, 08/12/2017-08/18/2017, 08/25/2017-08/30/2017. Values of 1868 records 
      in PROGID were flagged as M (missing value) for dates: 10/18/2016-10/25/2016. Values of 1868 
      records in PROGID are missing for dates: 10/18/2016-10/25/2016. Values of 7775 records in 
      BATTERY_MEAN were flagged as M (missing value) for dates: 10/11/2016, 10/18/2016-10/25/2016, 
      10/29/2016, 10/30/2016, 10/31/2016, 11/17/2016, 11/18/2016, 11/22/2016, 11/29/2016, 
      11/30/2016, 12/03/2016, 12/06/2016, 12/07/2016, 12/12/2016, 12/13/2016, 12/18/2016, 
      12/20/2016, 12/21/2016, 12/22/2016, 12/25/2016, 12/26/2016, 12/28/2016, 12/29/2016, 
      12/30/2016, 12/31/2016, 01/04/2017, 01/05/2017, 01/06/2017, 01/12/2017, 01/13/2017, 
      01/14/2017, 01/15/2017, 01/16/2017, 01/17/2017, 01/19/2017, 01/20/2017, 01/22/2017, 
      01/23/2017, 01/24/2017, 01/25/2017, 01/26/2017, 01/27/2017, 01/28/2017, 01/29/2017, 
      01/30/2017, 02/01/2017, 02/02/2017, 02/03/2017, 02/05/2017, 02/11/2017, 02/12/2017, 
      02/13/2017, 03/12/2017, 08/06/2017, 08/10/2017-08/11/2017, 08/12/2017-08/18/2017, 
      08/25/2017-08/30/2017. Values of 7775 records in BATTERY_MEAN are missing for dates: 
      10/11/2016, 10/18/2016-10/25/2016, 10/29/2016, 10/30/2016, 10/31/2016, 11/17/2016, 
      11/18/2016, 11/22/2016, 11/29/2016, 11/30/2016, 12/03/2016, 12/06/2016, 12/07/2016, 
      12/12/2016, 12/13/2016, 12/18/2016, 12/20/2016, 12/21/2016, 12/22/2016, 12/25/2016, 
      12/26/2016, 12/28/2016, 12/29/2016, 12/30/2016, 12/31/2016, 01/04/2017, 01/05/2017, 
      01/06/2017, 01/12/2017, 01/13/2017, 01/14/2017, 01/15/2017, 01/16/2017, 01/17/2017, 
      01/19/2017, 01/20/2017, 01/22/2017, 01/23/2017, 01/24/2017, 01/25/2017, 01/26/2017, 
      01/27/2017, 01/28/2017, 01/29/2017, 01/30/2017, 02/01/2017, 02/02/2017, 02/03/2017, 
      02/05/2017, 02/11/2017, 02/12/2017, 02/13/2017, 03/12/2017, 08/06/2017, 
      08/10/2017-08/11/2017, 08/12/2017-08/18/2017, 08/25/2017-08/30/2017. Values of 7775 records 
      in BATTERY_V_CHECK were flagged as M (missing value) for dates: 10/11/2016, 
      10/18/2016-10/25/2016, 10/29/2016, 10/30/2016, 10/31/2016, 11/17/2016, 11/18/2016, 
      11/22/2016, 11/29/2016, 11/30/2016, 12/03/2016, 12/06/2016, 12/07/2016, 12/12/2016, 
      12/13/2016, 12/18/2016, 12/20/2016, 12/21/2016, 12/22/2016, 12/25/2016, 12/26/2016, 
      12/28/2016, 12/29/2016, 12/30/2016, 12/31/2016, 01/04/2017, 01/05/2017, 01/06/2017, 
      01/12/2017, 01/13/2017, 01/14/2017, 01/15/2017, 01/16/2017, 01/17/2017, 01/19/2017, 
      01/20/2017, 01/22/2017, 01/23/2017, 01/24/2017, 01/25/2017, 01/26/2017, 01/27/2017, 
      01/28/2017, 01/29/2017, 01/30/2017, 02/01/2017, 02/02/2017, 02/03/2017, 02/05/2017, 
      02/11/2017, 02/12/2017, 02/13/2017, 03/12/2017, 08/06/2017, 08/10/2017-08/11/2017, 
      08/12/2017-08/18/2017, 08/25/2017-08/30/2017. Values of 105120 records in BATTERY_V_CHECK are 
      missing for dates: 10/01/2016-10/01/2017. Values of 1301 records in SNOWDEP_INST_0_0_05 were 
      flagged as E (Value estimated by linear interpolation) for dates: 10/17/2016, 10/29/2016, 
      10/30/2016, 10/31/2016, 11/17/2016, 11/18/2016, 11/23/2016, 11/29/2016, 11/30/2016, 
      12/03/2016, 12/06/2016, 12/07/2016, 12/08/2016, 12/12/2016, 12/13/2016, 12/18/2016, 
      12/21/2016, 12/22/2016, 12/25/2016, 12/26/2016, 12/30/2016, 12/31/2016, 01/01/2017, 
      01/02/2017, 01/04/2017, 01/05/2017, 01/06/2017, 01/12/2017, 01/14/2017, 01/15/2017, 
      01/16/2017, 01/17/2017, 01/19/2017, 01/20/2017, 01/23/2017, 01/25/2017, 01/26/2017, 
      02/02/2017, 02/03/2017, 02/05/2017, 02/19/2017, 03/05/2017, 03/30/2017, 04/14/2017, 
      05/12/2017, 05/13/2017, 06/29/2017, 07/01/2017, 07/05/2017, 07/06/2017, 07/07/2017, 
      07/08/2017, 07/09/2017, 07/10/2017, 07/11/2017, 07/12/2017, 07/13/2017, 07/14/2017, 
      07/15/2017, 07/16/2017, 07/17/2017, 07/18/2017, 07/19/2017, 07/20/2017, 07/21/2017, 
      07/22/2017, 07/23/2017, 07/24/2017, 07/25/2017, 07/26/2017, 07/27/2017, 07/28/2017, 
      07/29/2017, 07/30/2017, 07/31/2017, 08/01/2017, 08/02/2017, 08/03/2017, 08/04/2017, 
      08/05/2017, 08/06/2017, 08/07/2017, 08/08/2017, 08/09/2017, 08/10/2017, 08/11/2017, 
      08/18/2017, 08/19/2017, 08/20/2017, 08/21/2017, 08/22/2017, 08/23/2017, 08/30/2017. Values of 
      7607 records in SNOWDEP_INST_0_0_05 were flagged as M (missing value) for dates: 10/11/2016, 
      10/18/2016-10/25/2016, 10/29/2016, 10/31/2016, 11/18/2016, 11/22/2016, 11/29/2016, 
      12/07/2016, 12/12/2016, 12/13/2016, 12/18/2016, 12/20/2016, 12/21/2016, 12/22/2016, 
      12/25/2016, 12/26/2016, 12/28/2016, 12/29/2016, 12/30/2016, 12/31/2016, 01/04/2017, 
      01/05/2017, 01/06/2017, 01/12/2017, 01/13/2017, 01/14/2017, 01/15/2017, 01/16/2017, 
      01/17/2017, 01/19/2017, 01/20/2017, 01/22/2017, 01/23/2017, 01/24/2017, 01/25/2017, 
      01/26/2017, 01/27/2017, 01/28/2017, 01/29/2017, 01/30/2017, 02/01/2017, 02/02/2017, 
      02/05/2017, 02/11/2017, 02/12/2017, 02/13/2017, 03/12/2017, 08/02/2017, 08/08/2017, 
      08/10/2017-08/11/2017, 08/12/2017-08/18/2017, 08/25/2017-08/30/2017. Values of 3357 records 
      in SNOWDEP_INST_0_0_05 were flagged as Q (Questionable value) for dates: 10/14/2016, 
      10/15/2016, 10/17/2016, 10/18/2016, 10/27/2016, 10/29/2016, 11/01/2016, 11/02/2016, 
      11/16/2016, 11/17/2016, 11/18/2016, 11/19/2016, 11/20/2016, 11/21/2016, 11/22/2016, 
      11/23/2016, 11/24/2016, 11/25/2016, 11/26/2016, 11/27/2016, 11/28/2016, 11/29/2016, 
      11/30/2016, 12/01/2016, 12/02/2016, 12/04/2016, 12/05/2016, 12/06/2016, 12/07/2016, 
      12/08/2016, 12/09/2016, 12/10/2016, 12/11/2016, 12/12/2016, 12/13/2016, 12/14/2016, 
      12/15/2016, 12/16/2016, 12/18/2016, 12/19/2016, 12/20/2016, 12/23/2016, 12/24/2016, 
      12/25/2016, 12/27/2016, 12/28/2016, 12/29/2016, 01/01/2017, 01/02/2017, 01/04/2017, 
      01/05/2017, 01/06/2017, 01/07/2017, 01/09/2017, 01/10/2017, 01/11/2017, 01/17/2017, 
      01/18/2017, 01/19/2017, 01/20/2017, 01/21/2017, 01/26/2017, 01/27/2017, 01/28/2017, 
      01/29/2017, 01/31/2017, 02/01/2017, 02/02/2017, 02/04/2017, 02/05/2017, 02/06/2017, 
      02/07/2017, 02/08/2017, 02/10/2017, 02/18/2017, 02/19/2017, 02/20/2017, 02/21/2017, 
      02/22/2017, 02/23/2017, 02/24/2017, 02/26/2017, 02/27/2017, 02/28/2017, 03/01/2017, 
      03/03/2017, 03/04/2017, 03/05/2017, 03/06/2017, 03/07/2017, 03/08/2017, 03/10/2017, 
      03/12/2017, 03/14/2017, 03/15/2017, 03/16/2017, 03/17/2017, 03/20/2017, 03/21/2017, 
      03/22/2017, 03/23/2017, 03/24/2017, 03/25/2017, 03/26/2017, 03/27/2017, 03/28/2017, 
      03/29/2017, 03/30/2017, 04/01/2017, 04/02/2017, 04/05/2017, 04/06/2017, 04/07/2017, 
      04/08/2017, 04/10/2017, 04/11/2017, 04/12/2017, 04/13/2017, 04/14/2017, 04/17/2017, 
      04/18/2017, 04/19/2017, 04/20/2017, 04/21/2017, 04/22/2017, 04/24/2017, 04/25/2017, 
      04/26/2017, 04/27/2017, 04/28/2017, 04/30/2017, 05/12/2017, 05/13/2017, 05/14/2017, 
      05/16/2017, 05/17/2017, 05/18/2017, 05/30/2017, 06/11/2017, 06/12/2017, 06/13/2017, 
      06/14/2017, 06/29/2017, 07/01/2017, 07/04/2017, 07/05/2017, 07/06/2017, 07/07/2017, 
      07/08/2017, 07/09/2017, 07/10/2017, 07/11/2017, 07/11/2017-07/12/2017, 07/13/2017, 
      07/14/2017, 07/15/2017, 07/16/2017, 07/17/2017, 07/18/2017, 07/19/2017, 07/20/2017, 
      07/21/2017, 07/22/2017, 07/23/2017, 07/24/2017, 07/25/2017, 07/26/2017, 07/27/2017, 
      07/28/2017, 07/29/2017, 07/30/2017, 07/31/2017, 08/01/2017, 08/02/2017, 08/03/2017, 
      08/04/2017, 08/05/2017, 08/06/2017, 08/07/2017, 08/08/2017, 08/09/2017, 08/10/2017, 
      08/11/2017, 08/18/2017, 08/19/2017, 08/20/2017, 08/21/2017, 08/22/2017, 08/23/2017, 
      08/24/2017. Values of 7607 records in SNOWDEP_INST_0_0_05 are missing for dates: 10/11/2016, 
      10/18/2016-10/25/2016, 10/29/2016, 10/31/2016, 11/18/2016, 11/22/2016, 11/29/2016, 
      12/07/2016, 12/12/2016, 12/13/2016, 12/18/2016, 12/20/2016, 12/21/2016, 12/22/2016, 
      12/25/2016, 12/26/2016, 12/28/2016, 12/29/2016, 12/30/2016, 12/31/2016, 01/04/2017, 
      01/05/2017, 01/06/2017, 01/12/2017, 01/13/2017, 01/14/2017, 01/15/2017, 01/16/2017, 
      01/17/2017, 01/19/2017, 01/20/2017, 01/22/2017, 01/23/2017, 01/24/2017, 01/25/2017, 
      01/26/2017, 01/27/2017, 01/28/2017, 01/29/2017, 01/30/2017, 02/01/2017, 02/02/2017, 
      02/05/2017, 02/11/2017, 02/12/2017, 02/13/2017, 03/12/2017, 08/02/2017, 08/08/2017, 
      08/10/2017-08/11/2017, 08/12/2017-08/18/2017, 08/25/2017-08/30/2017. Values of 7775 records 
      in SNOWDEPTH_CHECK were flagged as M (missing value) for dates: 10/11/2016, 
      10/18/2016-10/25/2016, 10/29/2016, 10/30/2016, 10/31/2016, 11/17/2016, 11/18/2016, 
      11/22/2016, 11/29/2016, 11/30/2016, 12/03/2016, 12/06/2016, 12/07/2016, 12/12/2016, 
      12/13/2016, 12/18/2016, 12/20/2016, 12/21/2016, 12/22/2016, 12/25/2016, 12/26/2016, 
      12/28/2016, 12/29/2016, 12/30/2016, 12/31/2016, 01/04/2017, 01/05/2017, 01/06/2017, 
      01/12/2017, 01/13/2017, 01/14/2017, 01/15/2017, 01/16/2017, 01/17/2017, 01/19/2017, 
      01/20/2017, 01/22/2017, 01/23/2017, 01/24/2017, 01/25/2017, 01/26/2017, 01/27/2017, 
      01/28/2017, 01/29/2017, 01/30/2017, 02/01/2017, 02/02/2017, 02/03/2017, 02/05/2017, 
      02/11/2017, 02/12/2017, 02/13/2017, 03/12/2017, 08/06/2017, 08/10/2017-08/11/2017, 
      08/12/2017-08/18/2017, 08/25/2017-08/30/2017. Values of 105120 records in SNOWDEPTH_CHECK are 
      missing for dates: 10/01/2016-10/01/2017. Values of 7775 records in SNOWDEP_QUAL were flagged 
      as M (missing value) for dates: 10/11/2016, 10/18/2016-10/25/2016, 10/29/2016, 10/30/2016, 
      10/31/2016, 11/17/2016, 11/18/2016, 11/22/2016, 11/29/2016, 11/30/2016, 12/03/2016, 
      12/06/2016, 12/07/2016, 12/12/2016, 12/13/2016, 12/18/2016, 12/20/2016, 12/21/2016, 
      12/22/2016, 12/25/2016, 12/26/2016, 12/28/2016, 12/29/2016, 12/30/2016, 12/31/2016, 
      01/04/2017, 01/05/2017, 01/06/2017, 01/12/2017, 01/13/2017, 01/14/2017, 01/15/2017, 
      01/16/2017, 01/17/2017, 01/19/2017, 01/20/2017, 01/22/2017, 01/23/2017, 01/24/2017, 
      01/25/2017, 01/26/2017, 01/27/2017, 01/28/2017, 01/29/2017, 01/30/2017, 02/01/2017, 
      02/02/2017, 02/03/2017, 02/05/2017, 02/11/2017, 02/12/2017, 02/13/2017, 03/12/2017, 
      08/06/2017, 08/10/2017-08/11/2017, 08/12/2017-08/18/2017, 08/25/2017-08/30/2017. Values of 
      7775 records in SNOWDEP_QUAL are missing for dates: 10/11/2016, 10/18/2016-10/25/2016, 
      10/29/2016, 10/30/2016, 10/31/2016, 11/17/2016, 11/18/2016, 11/22/2016, 11/29/2016, 
      11/30/2016, 12/03/2016, 12/06/2016, 12/07/2016, 12/12/2016, 12/13/2016, 12/18/2016, 
      12/20/2016, 12/21/2016, 12/22/2016, 12/25/2016, 12/26/2016, 12/28/2016, 12/29/2016, 
      12/30/2016, 12/31/2016, 01/04/2017, 01/05/2017, 01/06/2017, 01/12/2017, 01/13/2017, 
      01/14/2017, 01/15/2017, 01/16/2017, 01/17/2017, 01/19/2017, 01/20/2017, 01/22/2017, 
      01/23/2017, 01/24/2017, 01/25/2017, 01/26/2017, 01/27/2017, 01/28/2017, 01/29/2017, 
      01/30/2017, 02/01/2017, 02/02/2017, 02/03/2017, 02/05/2017, 02/11/2017, 02/12/2017, 
      02/13/2017, 03/12/2017, 08/06/2017, 08/10/2017-08/11/2017, 08/12/2017-08/18/2017, 
      08/25/2017-08/30/2017. Values of 9 records in SWE_INST_0_0_05 were flagged as E (Value 
      estimated by linear interpolation) for dates: 10/29/2016, 10/30/2016, 10/31/2016. Values of 
      95140 records in SWE_INST_0_0_05 were flagged as M (missing value) for dates: 10/11/2016, 
      10/18/2016-10/25/2016, 10/29/2016, 10/31/2016, 11/11/2016-10/01/2017. Values of 95140 records 
      in SWE_INST_0_0_05 are missing for dates: 10/11/2016, 10/18/2016-10/25/2016, 10/29/2016, 
      10/31/2016, 11/11/2016-10/01/2017. Values of 7775 records in SWE_CHECK were flagged as M 
      (missing value) for dates: 10/11/2016, 10/18/2016-10/25/2016, 10/29/2016, 10/30/2016, 
      10/31/2016, 11/17/2016, 11/18/2016, 11/22/2016, 11/29/2016, 11/30/2016, 12/03/2016, 
      12/06/2016, 12/07/2016, 12/12/2016, 12/13/2016, 12/18/2016, 12/20/2016, 12/21/2016, 
      12/22/2016, 12/25/2016, 12/26/2016, 12/28/2016, 12/29/2016, 12/30/2016, 12/31/2016, 
      01/04/2017, 01/05/2017, 01/06/2017, 01/12/2017, 01/13/2017, 01/14/2017, 01/15/2017, 
      01/16/2017, 01/17/2017, 01/19/2017, 01/20/2017, 01/22/2017, 01/23/2017, 01/24/2017, 
      01/25/2017, 01/26/2017, 01/27/2017, 01/28/2017, 01/29/2017, 01/30/2017, 02/01/2017, 
      02/02/2017, 02/03/2017, 02/05/2017, 02/11/2017, 02/12/2017, 02/13/2017, 03/12/2017, 
      08/06/2017, 08/10/2017-08/11/2017, 08/12/2017-08/18/2017, 08/25/2017-08/30/2017. Values of 
      105120 records in SWE_CHECK are missing for dates: 10/01/2016-10/01/2017. Values of 183 
      records in PRECIP_INST_455_0_02 were flagged as E (Value estimated by linear interpolation) 
      for dates: 10/29/2016, 10/30/2016, 10/31/2016, 11/17/2016, 11/18/2016, 11/29/2016, 
      11/30/2016, 12/03/2016, 12/06/2016, 12/07/2016, 12/12/2016, 12/13/2016, 12/18/2016, 
      12/21/2016, 12/22/2016, 12/25/2016, 12/26/2016, 12/30/2016, 12/31/2016, 01/04/2017, 
      01/05/2017, 01/06/2017, 01/12/2017, 01/14/2017, 01/15/2017, 01/16/2017, 01/17/2017, 
      01/19/2017, 01/20/2017, 01/23/2017, 01/25/2017, 01/26/2017, 02/02/2017, 02/03/2017, 
      02/05/2017, 08/06/2017, 08/30/2017. Values of 7664 records in PRECIP_INST_455_0_02 were 
      flagged as M (missing value) for dates: 10/11/2016, 10/18/2016-10/25/2016, 10/29/2016, 
      10/31/2016, 11/18/2016, 11/22/2016, 11/29/2016, 12/07/2016, 12/12/2016, 12/13/2016, 
      12/18/2016, 12/20/2016, 12/21/2016, 12/22/2016, 12/25/2016, 12/26/2016, 12/28/2016, 
      12/29/2016, 12/30/2016, 12/31/2016, 01/04/2017, 01/05/2017, 01/06/2017, 01/12/2017, 
      01/13/2017, 01/14/2017, 01/15/2017, 01/16/2017, 01/17/2017, 01/19/2017, 01/20/2017, 
      01/22/2017, 01/23/2017, 01/24/2017, 01/25/2017, 01/26/2017, 01/27/2017, 01/28/2017, 
      01/29/2017, 01/30/2017, 02/01/2017, 02/02/2017, 02/05/2017, 02/11/2017, 02/12/2017, 
      02/13/2017, 03/12/2017, 06/26/2017, 06/28/2017, 08/10/2017-08/11/2017, 08/12/2017-08/18/2017, 
      08/25/2017-08/30/2017. Values of 22 records in PRECIP_INST_455_0_02 were flagged as R 
      (Reduced volume stored in sample tank) for dates: 10/14/2016, 10/25/2016, 11/09/2016, 
      12/06/2016, 01/04/2017, 02/13/2017, 03/22/2017, 04/18/2017, 05/15/2017, 06/26/2017, 
      06/28/2017, 09/22/2017. Values of 409 records in PRECIP_INST_455_0_02 were flagged as T (For 
      methods or hardware related flags. ie. broken shield) for dates: 10/01/2016, 
      10/01/2016-10/02/2016, 10/02/2016-10/03/2016, 10/05/2016, 10/11/2016, 12/07/2016, 01/04/2017, 
      01/05/2017, 01/14/2017, 02/01/2017, 02/02/2017. Values of 7664 records in 
      PRECIP_INST_455_0_02 are missing for dates: 10/11/2016, 10/18/2016-10/25/2016, 10/29/2016, 
      10/31/2016, 11/18/2016, 11/22/2016, 11/29/2016, 12/07/2016, 12/12/2016, 12/13/2016, 
      12/18/2016, 12/20/2016, 12/21/2016, 12/22/2016, 12/25/2016, 12/26/2016, 12/28/2016, 
      12/29/2016, 12/30/2016, 12/31/2016, 01/04/2017, 01/05/2017, 01/06/2017, 01/12/2017, 
      01/13/2017, 01/14/2017, 01/15/2017, 01/16/2017, 01/17/2017, 01/19/2017, 01/20/2017, 
      01/22/2017, 01/23/2017, 01/24/2017, 01/25/2017, 01/26/2017, 01/27/2017, 01/28/2017, 
      01/29/2017, 01/30/2017, 02/01/2017, 02/02/2017, 02/05/2017, 02/11/2017, 02/12/2017, 
      02/13/2017, 03/12/2017, 06/26/2017, 06/28/2017, 08/10/2017-08/11/2017, 08/12/2017-08/18/2017, 
      08/25/2017-08/30/2017. Values of 7792 records in ORI_SH_AVG were flagged as M (missing value) 
      for dates: 10/11/2016, 10/18/2016-10/25/2016, 10/29/2016, 10/30/2016, 10/31/2016, 11/17/2016, 
      11/18/2016, 11/22/2016, 11/29/2016, 11/30/2016, 12/03/2016, 12/06/2016, 12/07/2016, 
      12/12/2016, 12/13/2016, 12/18/2016, 12/20/2016, 12/21/2016, 12/22/2016, 12/25/2016, 
      12/26/2016, 12/28/2016, 12/29/2016, 12/30/2016, 12/31/2016, 01/04/2017, 01/05/2017, 
      01/06/2017, 01/12/2017, 01/13/2017, 01/14/2017, 01/15/2017, 01/16/2017, 01/17/2017, 
      01/19/2017, 01/20/2017, 01/22/2017, 01/23/2017, 01/24/2017, 01/25/2017, 01/26/2017, 
      01/27/2017, 01/28/2017, 01/29/2017, 01/30/2017, 02/01/2017, 02/02/2017, 02/03/2017, 
      02/05/2017, 02/11/2017, 02/12/2017, 02/13/2017, 03/12/2017, 08/06/2017, 
      08/10/2017-08/11/2017, 08/12/2017-08/18/2017, 08/25/2017-08/30/2017. Values of 409 records in 
      ORI_SH_AVG were flagged as T (For methods or hardware related flags. ie. broken shield) for 
      dates: 10/01/2016, 10/01/2016-10/02/2016, 10/02/2016-10/03/2016, 10/05/2016, 10/11/2016, 
      12/07/2016, 01/04/2017, 01/05/2017, 01/14/2017, 02/01/2017, 02/02/2017. Values of 7792 
      records in ORI_SH_AVG are missing for dates: 10/11/2016, 10/18/2016-10/25/2016, 10/29/2016, 
      10/30/2016, 10/31/2016, 11/17/2016, 11/18/2016, 11/22/2016, 11/29/2016, 11/30/2016, 
      12/03/2016, 12/06/2016, 12/07/2016, 12/12/2016, 12/13/2016, 12/18/2016, 12/20/2016, 
      12/21/2016, 12/22/2016, 12/25/2016, 12/26/2016, 12/28/2016, 12/29/2016, 12/30/2016, 
      12/31/2016, 01/04/2017, 01/05/2017, 01/06/2017, 01/12/2017, 01/13/2017, 01/14/2017, 
      01/15/2017, 01/16/2017, 01/17/2017, 01/19/2017, 01/20/2017, 01/22/2017, 01/23/2017, 
      01/24/2017, 01/25/2017, 01/26/2017, 01/27/2017, 01/28/2017, 01/29/2017, 01/30/2017, 
      02/01/2017, 02/02/2017, 02/03/2017, 02/05/2017, 02/11/2017, 02/12/2017, 02/13/2017, 
      03/12/2017, 08/06/2017, 08/10/2017-08/11/2017, 08/12/2017-08/18/2017, 08/25/2017-08/30/2017. 
      Values of 7775 records in PUMPVOLTS_Avg were flagged as M (missing value) for dates: 
      10/11/2016, 10/18/2016-10/25/2016, 10/29/2016, 10/30/2016, 10/31/2016, 11/17/2016, 
      11/18/2016, 11/22/2016, 11/29/2016, 11/30/2016, 12/03/2016, 12/06/2016, 12/07/2016, 
      12/12/2016, 12/13/2016, 12/18/2016, 12/20/2016, 12/21/2016, 12/22/2016, 12/25/2016, 
      12/26/2016, 12/28/2016, 12/29/2016, 12/30/2016, 12/31/2016, 01/04/2017, 01/05/2017, 
      01/06/2017, 01/12/2017, 01/13/2017, 01/14/2017, 01/15/2017, 01/16/2017, 01/17/2017, 
      01/19/2017, 01/20/2017, 01/22/2017, 01/23/2017, 01/24/2017, 01/25/2017, 01/26/2017, 
      01/27/2017, 01/28/2017, 01/29/2017, 01/30/2017, 02/01/2017, 02/02/2017, 02/03/2017, 
      02/05/2017, 02/11/2017, 02/12/2017, 02/13/2017, 03/12/2017, 08/06/2017, 
      08/10/2017-08/11/2017, 08/12/2017-08/18/2017, 08/25/2017-08/30/2017. Values of 7775 records 
      in PUMPVOLTS_Avg are missing for dates: 10/11/2016, 10/18/2016-10/25/2016, 10/29/2016, 
      10/30/2016, 10/31/2016, 11/17/2016, 11/18/2016, 11/22/2016, 11/29/2016, 11/30/2016, 
      12/03/2016, 12/06/2016, 12/07/2016, 12/12/2016, 12/13/2016, 12/18/2016, 12/20/2016, 
      12/21/2016, 12/22/2016, 12/25/2016, 12/26/2016, 12/28/2016, 12/29/2016, 12/30/2016, 
      12/31/2016, 01/04/2017, 01/05/2017, 01/06/2017, 01/12/2017, 01/13/2017, 01/14/2017, 
      01/15/2017, 01/16/2017, 01/17/2017, 01/19/2017, 01/20/2017, 01/22/2017, 01/23/2017, 
      01/24/2017, 01/25/2017, 01/26/2017, 01/27/2017, 01/28/2017, 01/29/2017, 01/30/2017, 
      02/01/2017, 02/02/2017, 02/03/2017, 02/05/2017, 02/11/2017, 02/12/2017, 02/13/2017, 
      03/12/2017, 08/06/2017, 08/10/2017-08/11/2017, 08/12/2017-08/18/2017, 08/25/2017-08/30/2017. 
      Values of 7775 records in PUMPVOLTS_CHECK were flagged as M (missing value) for dates: 
      10/11/2016, 10/18/2016-10/25/2016, 10/29/2016, 10/30/2016, 10/31/2016, 11/17/2016, 
      11/18/2016, 11/22/2016, 11/29/2016, 11/30/2016, 12/03/2016, 12/06/2016, 12/07/2016, 
      12/12/2016, 12/13/2016, 12/18/2016, 12/20/2016, 12/21/2016, 12/22/2016, 12/25/2016, 
      12/26/2016, 12/28/2016, 12/29/2016, 12/30/2016, 12/31/2016, 01/04/2017, 01/05/2017, 
      01/06/2017, 01/12/2017, 01/13/2017, 01/14/2017, 01/15/2017, 01/16/2017, 01/17/2017, 
      01/19/2017, 01/20/2017, 01/22/2017, 01/23/2017, 01/24/2017, 01/25/2017, 01/26/2017, 
      01/27/2017, 01/28/2017, 01/29/2017, 01/30/2017, 02/01/2017, 02/02/2017, 02/03/2017, 
      02/05/2017, 02/11/2017, 02/12/2017, 02/13/2017, 03/12/2017, 08/06/2017, 
      08/10/2017-08/11/2017, 08/12/2017-08/18/2017, 08/25/2017-08/30/2017. Values of 105120 records 
      in PUMPVOLTS_CHECK are missing for dates: 10/01/2016-10/01/2017. Values of 192 records in 
      AIRTEMP_MEAN_450_0_10 were flagged as E (Value estimated by linear interpolation) for dates: 
      10/29/2016, 10/30/2016, 10/31/2016, 11/17/2016, 11/18/2016, 11/21/2016, 11/29/2016, 
      11/30/2016, 12/03/2016, 12/06/2016, 12/07/2016, 12/12/2016, 12/13/2016, 12/18/2016, 
      12/21/2016, 12/22/2016, 12/25/2016, 12/26/2016, 12/30/2016, 12/31/2016, 01/04/2017, 
      01/05/2017, 01/06/2017, 01/12/2017, 01/14/2017, 01/15/2017, 01/16/2017, 01/17/2017, 
      01/19/2017, 01/20/2017, 01/23/2017, 01/25/2017, 01/26/2017, 02/02/2017, 02/03/2017, 
      02/05/2017, 08/05/2017, 08/06/2017, 08/07/2017, 08/10/2017, 08/18/2017, 08/30/2017. Values of 
      8245 records in AIRTEMP_MEAN_450_0_10 were flagged as M (missing value) for dates: 
      10/11/2016, 10/18/2016-10/25/2016, 10/29/2016, 10/31/2016, 11/18/2016, 11/22/2016, 
      11/29/2016, 12/07/2016, 12/12/2016, 12/13/2016, 12/18/2016, 12/20/2016, 12/21/2016, 
      12/22/2016, 12/25/2016, 12/26/2016, 12/28/2016, 12/29/2016, 12/30/2016, 12/31/2016, 
      01/04/2017, 01/05/2017, 01/06/2017, 01/12/2017, 01/13/2017, 01/14/2017, 01/15/2017, 
      01/16/2017, 01/17/2017, 01/19/2017, 01/20/2017, 01/22/2017, 01/23/2017, 01/24/2017, 
      01/25/2017, 01/26/2017, 01/27/2017, 01/28/2017, 01/29/2017, 01/30/2017, 02/01/2017, 
      02/02/2017, 02/05/2017, 02/11/2017, 02/12/2017, 02/13/2017, 03/12/2017, 07/31/2017, 
      08/01/2017, 08/02/2017, 08/03/2017, 08/04/2017, 08/05/2017, 08/07/2017, 08/08/2017, 
      08/09/2017, 08/10/2017-08/11/2017, 08/12/2017-08/18/2017, 08/25/2017-08/30/2017. Values of 
      27379 records in AIRTEMP_MEAN_450_0_10 were flagged as Q (Questionable value) for dates: 
      11/09/2016, 11/17/2016, 11/18/2016, 11/25/2016, 11/26/2016, 12/21/2016, 01/08/2017, 
      02/02/2017, 02/15/2017, 03/10/2017, 03/12/2017, 03/16/2017, 03/19/2017, 03/20/2017, 
      03/21/2017, 03/23/2017, 03/31/2017, 04/02/2017, 04/03/2017, 04/05/2017, 04/06/2017, 
      04/07/2017, 04/09/2017, 04/10/2017, 04/11/2017, 04/15/2017, 04/18/2017, 04/22/2017, 
      04/28/2017, 04/29/2017, 04/30/2017, 05/03/2017, 05/04/2017, 05/06/2017-07/31/2017, 
      07/31/2017-08/01/2017, 08/01/2017-08/02/2017, 08/02/2017-08/03/2017, 08/03/2017-08/04/2017, 
      08/04/2017-08/05/2017, 08/05/2017-08/06/2017, 08/06/2017-08/07/2017, 08/07/2017-08/08/2017, 
      08/08/2017-08/09/2017, 08/09/2017-08/10/2017, 08/11/2017-08/12/2017, 08/18/2017, 09/07/2017, 
      09/14/2017. Values of 8245 records in AIRTEMP_MEAN_450_0_10 are missing for dates: 
      10/11/2016, 10/18/2016-10/25/2016, 10/29/2016, 10/31/2016, 11/18/2016, 11/22/2016, 
      11/29/2016, 12/07/2016, 12/12/2016, 12/13/2016, 12/18/2016, 12/20/2016, 12/21/2016, 
      12/22/2016, 12/25/2016, 12/26/2016, 12/28/2016, 12/29/2016, 12/30/2016, 12/31/2016, 
      01/04/2017, 01/05/2017, 01/06/2017, 01/12/2017, 01/13/2017, 01/14/2017, 01/15/2017, 
      01/16/2017, 01/17/2017, 01/19/2017, 01/20/2017, 01/22/2017, 01/23/2017, 01/24/2017, 
      01/25/2017, 01/26/2017, 01/27/2017, 01/28/2017, 01/29/2017, 01/30/2017, 02/01/2017, 
      02/02/2017, 02/05/2017, 02/11/2017, 02/12/2017, 02/13/2017, 03/12/2017, 07/31/2017, 
      08/01/2017, 08/02/2017, 08/03/2017, 08/04/2017, 08/05/2017, 08/07/2017, 08/08/2017, 
      08/09/2017, 08/10/2017-08/11/2017, 08/12/2017-08/18/2017, 08/25/2017-08/30/2017. Values of 
      8460 records in AIRTEMP_MAX_450_0_10 were flagged as M (missing value) for dates: 10/11/2016, 
      10/18/2016-10/25/2016, 10/29/2016, 10/30/2016, 10/31/2016, 11/17/2016, 11/18/2016, 
      11/21/2016, 11/22/2016, 11/29/2016, 11/30/2016, 12/03/2016, 12/06/2016, 12/07/2016, 
      12/12/2016, 12/13/2016, 12/18/2016, 12/20/2016, 12/21/2016, 12/22/2016, 12/25/2016, 
      12/26/2016, 12/28/2016, 12/29/2016, 12/30/2016, 12/31/2016, 01/04/2017, 01/05/2017, 
      01/06/2017, 01/12/2017, 01/13/2017, 01/14/2017, 01/15/2017, 01/16/2017, 01/17/2017, 
      01/19/2017, 01/20/2017, 01/22/2017, 01/23/2017, 01/24/2017, 01/25/2017, 01/26/2017, 
      01/27/2017, 01/28/2017, 01/29/2017, 01/30/2017, 02/01/2017, 02/02/2017, 02/03/2017, 
      02/05/2017, 02/11/2017, 02/12/2017, 02/13/2017, 03/12/2017, 07/31/2017, 08/01/2017, 
      08/02/2017, 08/03/2017, 08/04/2017, 08/05/2017, 08/06/2017, 08/07/2017, 08/08/2017, 
      08/09/2017, 08/10/2017, 08/10/2017-08/11/2017, 08/12/2017-08/18/2017, 08/25/2017-08/30/2017. 
      Values of 27211 records in AIRTEMP_MAX_450_0_10 were flagged as Q (Questionable value) for 
      dates: 05/06/2017-07/31/2017, 07/31/2017-08/01/2017, 08/01/2017-08/02/2017, 
      08/02/2017-08/03/2017, 08/03/2017-08/04/2017, 08/04/2017-08/05/2017, 08/05/2017-08/06/2017, 
      08/06/2017-08/07/2017, 08/07/2017-08/08/2017, 08/08/2017-08/09/2017, 08/09/2017-08/10/2017, 
      08/11/2017-08/12/2017, 08/18/2017. Values of 8460 records in AIRTEMP_MAX_450_0_10 are missing 
      for dates: 10/11/2016, 10/18/2016-10/25/2016, 10/29/2016, 10/30/2016, 10/31/2016, 11/17/2016, 
      11/18/2016, 11/21/2016, 11/22/2016, 11/29/2016, 11/30/2016, 12/03/2016, 12/06/2016, 
      12/07/2016, 12/12/2016, 12/13/2016, 12/18/2016, 12/20/2016, 12/21/2016, 12/22/2016, 
      12/25/2016, 12/26/2016, 12/28/2016, 12/29/2016, 12/30/2016, 12/31/2016, 01/04/2017, 
      01/05/2017, 01/06/2017, 01/12/2017, 01/13/2017, 01/14/2017, 01/15/2017, 01/16/2017, 
      01/17/2017, 01/19/2017, 01/20/2017, 01/22/2017, 01/23/2017, 01/24/2017, 01/25/2017, 
      01/26/2017, 01/27/2017, 01/28/2017, 01/29/2017, 01/30/2017, 02/01/2017, 02/02/2017, 
      02/03/2017, 02/05/2017, 02/11/2017, 02/12/2017, 02/13/2017, 03/12/2017, 07/31/2017, 
      08/01/2017, 08/02/2017, 08/03/2017, 08/04/2017, 08/05/2017, 08/06/2017, 08/07/2017, 
      08/08/2017, 08/09/2017, 08/10/2017, 08/10/2017-08/11/2017, 08/12/2017-08/18/2017, 
      08/25/2017-08/30/2017. Values of 8421 records in AIRTEMP_MIN_450_0_10 were flagged as M 
      (missing value) for dates: 10/11/2016, 10/18/2016-10/25/2016, 10/29/2016, 10/30/2016, 
      10/31/2016, 11/17/2016, 11/18/2016, 11/21/2016, 11/22/2016, 11/29/2016, 11/30/2016, 
      12/03/2016, 12/06/2016, 12/07/2016, 12/12/2016, 12/13/2016, 12/18/2016, 12/20/2016, 
      12/21/2016, 12/22/2016, 12/25/2016, 12/26/2016, 12/28/2016, 12/29/2016, 12/30/2016, 
      12/31/2016, 01/04/2017, 01/05/2017, 01/06/2017, 01/12/2017, 01/13/2017, 01/14/2017, 
      01/15/2017, 01/16/2017, 01/17/2017, 01/19/2017, 01/20/2017, 01/22/2017, 01/23/2017, 
      01/24/2017, 01/25/2017, 01/26/2017, 01/27/2017, 01/28/2017, 01/29/2017, 01/30/2017, 
      02/01/2017, 02/02/2017, 02/03/2017, 02/05/2017, 02/11/2017, 02/12/2017, 02/13/2017, 
      03/12/2017, 07/31/2017, 08/01/2017, 08/02/2017, 08/03/2017, 08/04/2017, 08/05/2017, 
      08/06/2017, 08/07/2017, 08/08/2017, 08/09/2017, 08/10/2017-08/11/2017, 08/12/2017-08/18/2017, 
      08/25/2017-08/30/2017. Values of 27249 records in AIRTEMP_MIN_450_0_10 were flagged as Q 
      (Questionable value) for dates: 05/06/2017-07/31/2017, 07/31/2017-08/01/2017, 
      08/01/2017-08/02/2017, 08/02/2017-08/03/2017, 08/03/2017-08/04/2017, 08/04/2017-08/05/2017, 
      08/05/2017-08/06/2017, 08/06/2017-08/07/2017, 08/07/2017-08/08/2017, 08/08/2017-08/09/2017, 
      08/09/2017-08/10/2017, 08/11/2017-08/12/2017, 08/18/2017. Values of 8421 records in 
      AIRTEMP_MIN_450_0_10 are missing for dates: 10/11/2016, 10/18/2016-10/25/2016, 10/29/2016, 
      10/30/2016, 10/31/2016, 11/17/2016, 11/18/2016, 11/21/2016, 11/22/2016, 11/29/2016, 
      11/30/2016, 12/03/2016, 12/06/2016, 12/07/2016, 12/12/2016, 12/13/2016, 12/18/2016, 
      12/20/2016, 12/21/2016, 12/22/2016, 12/25/2016, 12/26/2016, 12/28/2016, 12/29/2016, 
      12/30/2016, 12/31/2016, 01/04/2017, 01/05/2017, 01/06/2017, 01/12/2017, 01/13/2017, 
      01/14/2017, 01/15/2017, 01/16/2017, 01/17/2017, 01/19/2017, 01/20/2017, 01/22/2017, 
      01/23/2017, 01/24/2017, 01/25/2017, 01/26/2017, 01/27/2017, 01/28/2017, 01/29/2017, 
      01/30/2017, 02/01/2017, 02/02/2017, 02/03/2017, 02/05/2017, 02/11/2017, 02/12/2017, 
      02/13/2017, 03/12/2017, 07/31/2017, 08/01/2017, 08/02/2017, 08/03/2017, 08/04/2017, 
      08/05/2017, 08/06/2017, 08/07/2017, 08/08/2017, 08/09/2017, 08/10/2017-08/11/2017, 
      08/12/2017-08/18/2017, 08/25/2017-08/30/2017.
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: Vara power supply replaced the week of Oct 10, 2015. 
         New batteries and jumpers added by JM and SW.