Dataset Details

Data Set ID: primet_229_a_5min_2021
Originator: Christopher Daly
Title: Meteorological data from Primary Met Station at the Andrews Forest. Variables include: fan-aspirated air temperature and four component radiation from 01-Oct-2020 to 01-Oct-2021
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.
Key Words: 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
Study Type: Monitoring
Study Period: 01-Oct-2020 to 01-Oct-2021
Bounding Box: West longitude:  unspecified
North latitude:  unspecified
East longitude:  unspecified
South latitude:  unspecified
Site References: PRIMET_229
Downloads:  Formats

Data Table:  primet_229_a_5min_2021 (Main data table, 105120 records)

Access:  Public

Metadata:  Text (ESA FLED)

Data Files:  Spreadsheet (CSV Text) [36339kb], GCE Data Toolbox File [14743kb], Web Table (HTML text) [745kb]

Column List:

Column Name Units Type Description (show)
1 Site string Site code
2 Date string Calendar date and time of measurement
3 LOGGERID none integer LOGGERID
4 PROGID none floating-point Program ID of program
5 SWI_MEAN_600_0_02 w m-2 floating-point Downward shortwave radiation recorded by Hukseflux NR01
6 Flag_SWI_MEAN_600_0_02 none string QA/QC flags for Downward shortwave radiation recorded by Hukseflux NR01 (flagging criteria, where "x" is SWI_MEAN_600_0_02: isnan(x)="M", flag_daterange(Date,{"10/10/2022 00:00:00","10/14/2022 00:00:00"})="I", Date<=datenum("04/10/2013 00:05:00")="I", manual)
7 SWO_MEAN_600_0_02 w m-2 floating-point Upward shortwave radiation recorded by Hukseflux NR01
8 Flag_SWO_MEAN_600_0_02 none string QA/QC flags for Upward shortwave radiation recorded by Hukseflux NR01 (flagging criteria, where "x" is SWO_MEAN_600_0_02: isnan(x)="M", flag_daterange(Date,{"10/10/2022 00:00:00","10/14/2022 00:00:00"})="I", Date<=datenum("04/10/2013 00:05:00")="I", manual)
9 LWI_MEAN_600_0_02 w m-2 floating-point Corrrected downward longwave radiation (emited from the atmosphere). Correction factor: IR01UpCo=IR01Up+5.67*10^-8*NR01TK^4 recorded by Hukseflux NR01
10 Flag_LWI_MEAN_600_0_02 none string QA/QC flags for Corrrected downward longwave radiation (emited from the atmosphere). Correction factor: IR01UpCo=IR01Up+5.67*10^-8*NR01TK^4 recorded by Hukseflux NR01 (flagging criteria, where "x" is LWI_MEAN_600_0_02: isnan(x)="M", flag_daterange(Date,{"10/10/2022 00:00:00","10/14/2022 00:00:00"})="I", Date<=datenum("04/10/2013 00:05:00")="I", manual)
11 LWO_MEAN_600_0_02 w m-2 floating-point Corrrected upward longwave radiation (emited from the surface). Correction factor: IR01DnCo=IR01Dn+5.67*10^-8*NR01TK^4 recorded by Hukseflux NR01
12 Flag_LWO_MEAN_600_0_02 none string QA/QC flags for Corrrected upward longwave radiation (emited from the surface). Correction factor: IR01DnCo=IR01Dn+5.67*10^-8*NR01TK^4 recorded by Hukseflux NR01 (flagging criteria, where "x" is LWO_MEAN_600_0_02: isnan(x)="M", flag_daterange(Date,{"8/26/2022 11:10:00","8/26/2022 20:00:00"})="Q", flag_daterange(Date,{"10/10/2022 00:00:00","10/14/2022 00:00:00"})="I", Date<=datenum("04/10/2013 00:05:00")="I", manual)
13 NRT_MEAN_600_0_02 w m-2 floating-point Net radiation total. NetTot=UpTot-DnTot recorded by Hukseflux NR01
14 Flag_NRT_MEAN_600_0_02 none string QA/QC flags for Net radiation total. NetTot=UpTot-DnTot recorded by Hukseflux NR01 (flagging criteria, where "x" is NRT_MEAN_600_0_02: isnan(x)="M", flag_daterange(Date,{"8/26/2022 11:10:00","8/26/2022 20:00:00"})="Q", flag_daterange(Date,{"10/10/2022 00:00:00","10/14/2022 00:00:00"})="I", Date<=datenum("04/10/2013 00:05:00")="I", manual)
15 LWI_AVG_[]_[]_[] w m-2 floating-point Uncorrrected downward longwave radiation (emited from the atmosphere) recorded by Hukseflux NR01
16 Flag_LWI_AVG_[]_[]_[] none string QA/QC flags for Uncorrrected downward longwave radiation (emited from the atmosphere) recorded by Hukseflux NR01 (flagging criteria, where "x" is LWI_AVG_[]_[]_[]: isnan(x)="M", flag_daterange(Date,{"10/10/2022 00:00:00","10/14/2022 00:00:00"})="I", Date<=datenum("04/10/2013 00:05:00")="I", manual)
17 LWO_AVG_[]_[]_[] w m-2 floating-point Uncorrrected upward longwave radiation (emited from the surface) recorded by Hukseflux NR01
18 Flag_LWO_AVG_[]_[]_[] none string QA/QC flags for Uncorrrected upward longwave radiation (emited from the surface) recorded by Hukseflux NR01 (flagging criteria, where "x" is LWO_AVG_[]_[]_[]: isnan(x)="M", flag_daterange(Date,{"8/26/2022 11:10:00","8/26/2022 20:00:00"})="Q", flag_daterange(Date,{"10/10/2022 00:00:00","10/14/2022 00:00:00"})="I", Date<=datenum("04/10/2013 00:05:00")="I", manual)
19 TSB_MEAN_600_0_02 deg c floating-point Temperature of sensor body recorded by Hukseflux NR01
20 Flag_TSB_MEAN_600_0_02 none string QA/QC flags for Temperature of sensor body recorded by Hukseflux NR01 (flagging criteria, where "x" is TSB_MEAN_600_0_02: isnan(x)="M", flag_daterange(Date,{"10/10/2022 00:00:00","10/14/2022 00:00:00"})="I", Date<=datenum("04/10/2013 00:05:00")="I", x<-50="I", x>60="I", manual)
21 NR01TK_Avg_[]_[]_[]_[] w m-2 floating-point Temperature of sensor body. NR01TK=NR01TC+273.15 recorded by Hukseflux NR01
22 Flag_NR01TK_Avg_[]_[]_[]_[] none string QA/QC flags for Temperature of sensor body. NR01TK=NR01TC+273.15 recorded by Hukseflux NR01 (flagging criteria, where "x" is NR01TK_Avg_[]_[]_[]_[]: isnan(x)="M", flag_daterange(Date,{"10/10/2022 00:00:00","10/14/2022 00:00:00"})="I", Date<=datenum("04/10/2013 00:05:00")="I", manual)
23 NRS_AVG_[]_[]_[] w m-2 floating-point Net shortwave radiation. NetRs=SR01Up-SR01Dn recorded by Hukseflux NR01
24 Flag_NRS_AVG_[]_[]_[] none string QA/QC flags for Net shortwave radiation. NetRs=SR01Up-SR01Dn recorded by Hukseflux NR01 (flagging criteria, where "x" is NRS_AVG_[]_[]_[]: isnan(x)="M", flag_daterange(Date,{"8/26/2022 11:10:00","8/26/2022 20:00:00"})="Q", flag_daterange(Date,{"10/10/2022 00:00:00","10/14/2022 00:00:00"})="I", Date<=datenum("04/10/2013 00:05:00")="I", manual)
25 NRL_AVG_[]_[]_[] w m-2 floating-point Net longwave radiation. NetRl=IR01Up-IR01Dn recorded by Hukseflux NR01
26 Flag_NRL_AVG_[]_[]_[] none string QA/QC flags for Net longwave radiation. NetRl=IR01Up-IR01Dn recorded by Hukseflux NR01 (flagging criteria, where "x" is NRL_AVG_[]_[]_[]: isnan(x)="M", flag_daterange(Date,{"8/26/2022 11:10:00","8/26/2022 20:00:00"})="Q", flag_daterange(Date,{"10/10/2022 00:00:00","10/14/2022 00:00:00"})="I", Date<=datenum("04/10/2013 00:05:00")="I", manual)
27 SW_ALBEDO_[]_600_0_02 none floating-point Shortwave radiation albedo
28 Flag_SW_ALBEDO_[]_600_0_02 none string QA/QC flags for Shortwave radiation albedo (flagging criteria, where "x" is SW_ALBEDO_[]_600_0_02: x<0="Q", x>1="Q", isnan(x)="M", Date<=datenum("04/10/2013 00:05:00")="I")
29 IN_AVG W m-2 floating-point Total downward radiation. UpTot=SR01Up+IR01UpCo
30 Flag_IN_AVG none string QA/QC flags for Total downward radiation. UpTot=SR01Up+IR01UpCo (flagging criteria, where "x" is IN_AVG: isnan(x)="M", flag_daterange(Date,{"10/10/2022 14:00:00","10/10/2022 18:30:00"})="I", manual)
31 OUT_AVG_[]_[]_[]_[] w m-2 floating-point Total upward radiation; DnTot=SR01Dn+IR01DnCo recorded by Hukseflux NR01
32 Flag_OUT_AVG_[]_[]_[]_[] none string QA/QC flags for Total upward radiation; DnTot=SR01Dn+IR01DnCo recorded by Hukseflux NR01 (flagging criteria, where "x" is OUT_AVG_[]_[]_[]_[]: isnan(x)="M", Date<=datenum("04/10/2013 00:05:00")="I", flag_daterange(Date,{"10/10/2022 00:00:00","10/14/2022 00:00:00"})="I", manual)
33 AIRTEMP_MEAN_150_0_06 deg c floating-point Fan aspirated temperature
34 Flag_AIRTEMP_MEAN_150_0_06 none string QA/QC flags for Fan aspirated temperature (flagging criteria, where "x" is AIRTEMP_MEAN_150_0_06: isnan(x)="M", x<=-35="I", x>50="I", x<FOURLO="Q", x>FOURHI="Q", flag_valuechange(x,8,8,1)="Q", flag_valuechange(x,6.5,6.5,1)="V", x>AIRTEMP_MAX_150_0_06="I", x<AIRTEMP_MIN_150_0_06=‘I’, flag_daterange(Date,{"8/4/2022 12:50:00","8/16/2022 16:00:00"})="I", flag_daterange(Date,{"8/16/2022 10:10:00","8/16/2022 13:20:00"})="T", flag_daterange(Date,{"09/29/2020 12:15:00","09/29/2020 15:10:00"})="Q", (AIRTEMP_MAX_150_0_06-AIRTEMP_MEAN_150_0_06)>1="Q", (AIRTEMP_MEAN_150_0_06-AIRTEMP_MIN_150_0_06)>1="Q", flag_daterange(Date,{"11/02/2024 09:35:00","11/19/2024 15:45:00"})="T", flag_daterange(Date,{"01/29/2025 13:45:00","01/29/2025 15:45:00"})="T", manual)
35 AIRTEMP_MEAN_250_0_07 deg c floating-point Fan aspirated temperature
36 Flag_AIRTEMP_MEAN_250_0_07 none string QA/QC flags for Fan aspirated temperature (flagging criteria, where "x" is AIRTEMP_MEAN_250_0_07: isnan(x)="M", x<=-35="I", x>50="I", x<FOURLO="Q", x>FOURHI="Q", flag_valuechange(x,8,8,1)="Q", flag_valuechange(x,6.5,6.5,1)="V", x>AIRTEMP_MAX_250_0_07="I", x<AIRTEMP_MIN_250_0_07=‘I’, (AIRTEMP_MAX_250_0_07-AIRTEMP_MEAN_250_0_07)>1="Q", (AIRTEMP_MEAN_250_0_07-AIRTEMP_MIN_250_0_07)>1="Q", flag_daterange(Date,{"09/30/2020 10:40:00","09/30/2020 14:00:00"})="Q", flag_daterange(Date,{"01/15/2024 09:30:00","01/19/2024 10:35:00"})=’T’, flag_daterange(Date,{’01/20/2024 12:00:00",’01/28/2024 08:30:00"})=’T", manual)
37 AIRTEMP_MEAN_350_0_08 deg c floating-point Fan aspirated temperature
38 Flag_AIRTEMP_MEAN_350_0_08 none string QA/QC flags for Fan aspirated temperature (flagging criteria, where "x" is AIRTEMP_MEAN_350_0_08: isnan(x)="M", x<=-35="I", x>50="I", x<FOURLO="Q", x>FOURHI="Q", flag_valuechange(x,8,8,1)="Q", flag_valuechange(x,6.5,6.5,1)="V", (AIRTEMP_MAX_350_0_08-AIRTEMP_MEAN_350_0_08)>1="Q", (AIRTEMP_MEAN_350_0_08-AIRTEMP_MIN_350_0_08)>1="Q", x>AIRTEMP_MAX_350_0_08="I", x<AIRTEMP_MIN_350_0_08=‘I’, flag_daterange(Date,{"09/29/2020 08:10:00","09/30/2020 15:40:00"})="Q", flag_daterange(Date,{"01/15/2024 09:30:00","01/19/2024 10:35:00"})=’T’, flag_daterange(Date,{’01/20/2024 12:00:00",’01/28/2024 08:30:00"})=’T", flag_daterange(Date,{’06/07/2023 13:50:00",’06/07/2023 14:00:00"})=’I", manual)
39 AIRTEMP_MEAN_450_0_09 deg c floating-point Fan aspirated temperature
40 Flag_AIRTEMP_MEAN_450_0_09 none string QA/QC flags for Fan aspirated temperature (flagging criteria, where "x" is AIRTEMP_MEAN_450_0_09: isnan(x)="M", x<=-35="I", x>50="I", x<FOURLO="Q", x>FOURHI="Q", flag_valuechange(x,8,8,1)="Q", flag_valuechange(x,6.5,6.5,1)="V", (AIRTEMP_MAX_450_0_09-AIRTEMP_MEAN_450_0_09)>1="Q", (AIRTEMP_MEAN_450_0_09-AIRTEMP_MIN_450_0_09)>1="Q", x>AIRTEMP_MAX_450_0_09="I", x<AIRTEMP_MIN_450_0_09=‘I’, flag_daterange(Date,{"10/01/2020 09:05:00","10/01/2020 10:55:00"})="Q", flag_daterange(Date,{"09/02/2023 17:00:00","11/13/2023 17:15:00"})="Q", flag_daterange(Date,{"01/15/2024 09:30:00","01/19/2024 10:35:00"})=’T’, flag_daterange(Date,{’01/20/2024 12:00:00",’01/28/2024 08:30:00"})=’T", flag_daterange(Date,{"03/29/2024 05:00:00","05/09/2024 20:00:00"})="T", flag_daterange(Date,{"07/07/2024 04:30:00","07/10/2024 19:15:00"})="T", manual)
41 AIRTEMP_MAX_150_0_06 deg c floating-point Fan aspirated temperature
42 Flag_AIRTEMP_MAX_150_0_06 none string QA/QC flags for Fan aspirated temperature (flagging criteria, where "x" is AIRTEMP_MAX_150_0_06: isnan(x)="M", x<=-35="I", x>50="I", x<FOURLO="Q", x>FOURHI="Q", flag_valuechange(x,8,8,1)="Q", flag_valuechange(x,6.5,6.5,1)="V", manual)
43 AIRTEMP_MAX_250_0_07 deg c floating-point Fan aspirated temperature
44 Flag_AIRTEMP_MAX_250_0_07 none string QA/QC flags for Fan aspirated temperature (flagging criteria, where "x" is AIRTEMP_MAX_250_0_07: isnan(x)="M", x<=-35="I", x>50="I", x<FOURLO="Q", x>FOURHI="Q", flag_valuechange(x,8,8,1)="Q", flag_valuechange(x,6.5,6.5,1)="V", manual)
45 AIRTEMP_MAX_350_0_08 deg c floating-point Fan aspirated temperature
46 Flag_AIRTEMP_MAX_350_0_08 none string QA/QC flags for Fan aspirated temperature (flagging criteria, where "x" is AIRTEMP_MAX_350_0_08: isnan(x)="M", x<=-35="I", x>50="I", x<FOURLO="Q", x>FOURHI="Q", flag_valuechange(x,8,8,1)="Q", flag_valuechange(x,6.5,6.5,1)="V", manual)
47 AIRTEMP_MAX_450_0_09 deg c floating-point Fan aspirated temperature
48 Flag_AIRTEMP_MAX_450_0_09 none string QA/QC flags for Fan aspirated temperature (flagging criteria, where "x" is AIRTEMP_MAX_450_0_09: isnan(x)="M", x<=-35="I", x>50="I", x<FOURLO="Q", x>FOURHI="Q", flag_valuechange(x,8,8,1)="Q", flag_valuechange(x,6.5,6.5,1)="V", manual)
49 AIRTEMP_MIN_150_0_06 deg c floating-point Fan aspirated temperature
50 Flag_AIRTEMP_MIN_150_0_06 none string QA/QC flags for Fan aspirated temperature (flagging criteria, where "x" is AIRTEMP_MIN_150_0_06: isnan(x)="M", x<=-35="I", x>50="I", x<FOURLO="Q", x>FOURHI="Q", flag_valuechange(x,8,8,1)="Q", flag_valuechange(x,6.5,6.5,1)="V", manual)
51 AIRTEMP_MIN_250_0_07 deg c floating-point Fan aspirated temperature
52 Flag_AIRTEMP_MIN_250_0_07 none string QA/QC flags for Fan aspirated temperature (flagging criteria, where "x" is AIRTEMP_MIN_250_0_07: isnan(x)="M", x<=-35="I", x>50="I", x<FOURLO="Q", x>FOURHI="Q", flag_valuechange(x,8,8,1)="Q", flag_valuechange(x,6.5,6.5,1)="V", manual)
53 AIRTEMP_MIN_350_0_08 deg c floating-point Fan aspirated temperature
54 Flag_AIRTEMP_MIN_350_0_08 none string QA/QC flags for Fan aspirated temperature (flagging criteria, where "x" is AIRTEMP_MIN_350_0_08: isnan(x)="M", x<=-35="I", x>50="I", x<FOURLO="Q", x>FOURHI="Q", flag_valuechange(x,8,8,1)="Q", flag_valuechange(x,6.5,6.5,1)="V", manual)
55 AIRTEMP_MIN_450_0_09 deg c floating-point Fan aspirated temperature
56 Flag_AIRTEMP_MIN_450_0_09 none string QA/QC flags for Fan aspirated temperature (flagging criteria, where "x" is AIRTEMP_MIN_450_0_09: isnan(x)="M", x<=-35="I", x>50="I", x<FOURLO="Q", x>FOURHI="Q", flag_valuechange(x,8,8,1)="Q", flag_valuechange(x,6.5,6.5,1)="V", manual)
57 SWI_RUNMN_600_0_02 W m-2 floating-point 7-point running mean
58 Flag_SWI_RUNMN_600_0_02 none string QA/QC flags for 7-point running mean (flagging criteria, where "x" is SWI_RUNMN_600_0_02: )
59 SWO_RUNMN_600_0_02 W m-2 floating-point 7-point running mean
60 Flag_SWO_RUNMN_600_0_02 none string QA/QC flags for 7-point running mean (flagging criteria, where "x" is SWO_RUNMN_600_0_02: )
61 Year YYYY integer Calendar year
62 CEN W m-2 floating-point Instantaneous clear-sky global solar radiation. Generated with gtoporad. Based on 3 arcsec DEM. Based on 1990-2019 climatology. Contact: David Rupp. File created 2021-05-13
63 Flag_CEN none string QA/QC flags for Instantaneous clear-sky global solar radiation. Generated with gtoporad. Based on 3 arcsec DEM. Based on 1990-2019 climatology. Contact: David Rupp. File created 2021-05-13 (flagging criteria, where "x" is CEN: )
64 CS2MET W m-2 floating-point Instantaneous clear-sky global solar radiation. Generated with gtoporad. Based on 3 arcsec DEM. Based on 1990-2019 climatology. Contact: David Rupp. File created 2021-05-13
65 Flag_CS2MET none string QA/QC flags for Instantaneous clear-sky global solar radiation. Generated with gtoporad. Based on 3 arcsec DEM. Based on 1990-2019 climatology. Contact: David Rupp. File created 2021-05-13 (flagging criteria, where "x" is CS2MET: )
66 DISCTR W m-2 floating-point Instantaneous clear-sky global solar radiation. Generated with gtoporad. Based on 3 arcsec DEM. Based on 1990-2019 climatology. Contact: David Rupp. File created 2021-05-13
67 Flag_DISCTR none string QA/QC flags for Instantaneous clear-sky global solar radiation. Generated with gtoporad. Based on 3 arcsec DEM. Based on 1990-2019 climatology. Contact: David Rupp. File created 2021-05-13 (flagging criteria, where "x" is DISCTR: )
68 PRI W m-2 floating-point Instantaneous clear-sky global solar radiation. Generated with gtoporad. Based on 3 arcsec DEM. Based on 1990-2019 climatology. Contact: David Rupp. File created 2021-05-13
69 Flag_PRI none string QA/QC flags for Instantaneous clear-sky global solar radiation. Generated with gtoporad. Based on 3 arcsec DEM. Based on 1990-2019 climatology. Contact: David Rupp. File created 2021-05-13 (flagging criteria, where "x" is PRI: )
70 UPL W m-2 floating-point Instantaneous clear-sky global solar radiation. Generated with gtoporad. Based on 3 arcsec DEM. Based on 1990-2019 climatology. Contact: David Rupp. File created 2021-05-13
71 Flag_UPL none string QA/QC flags for Instantaneous clear-sky global solar radiation. Generated with gtoporad. Based on 3 arcsec DEM. Based on 1990-2019 climatology. Contact: David Rupp. File created 2021-05-13 (flagging criteria, where "x" is UPL: )
72 VAN W m-2 floating-point Instantaneous clear-sky global solar radiation. Generated with gtoporad. Based on 3 arcsec DEM. Based on 1990-2019 climatology. Contact: David Rupp. File created 2021-05-13
73 Flag_VAN none string QA/QC flags for Instantaneous clear-sky global solar radiation. Generated with gtoporad. Based on 3 arcsec DEM. Based on 1990-2019 climatology. Contact: David Rupp. File created 2021-05-13 (flagging criteria, where "x" is VAN: )
74 CEN_100 W m-2 floating-point CENMET+100
75 Flag_CEN_100 none string QA/QC flags for CENMET+100 (flagging criteria, where "x" is CEN_100: )
76 CS2MET_100 W m-2 floating-point CS2MET+100
77 Flag_CS2MET_100 none string QA/QC flags for CS2MET+100 (flagging criteria, where "x" is CS2MET_100: )
78 DISCTR_100 W m-2 floating-point DISCTR+100
79 Flag_DISCTR_100 none string QA/QC flags for DISCTR+100 (flagging criteria, where "x" is DISCTR_100: )
80 PRI_100 W m-2 floating-point PRIMET+100
81 Flag_PRI_100 none string QA/QC flags for PRIMET+100 (flagging criteria, where "x" is PRI_100: )
82 UPL_100 W m-2 floating-point UPLMET+100
83 Flag_UPL_100 none string QA/QC flags for UPLMET+100 (flagging criteria, where "x" is UPL_100: )
84 VAN_100 W m-2 floating-point VANMET+100
85 Flag_VAN_100 none string QA/QC flags for VANMET+100 (flagging criteria, where "x" is VAN_100: )
86 CEN_SS none integer Sunrise sunset binary index
87 CS2MET_SS none integer Sunrise sunset binary index
88 DISCTR_SS none integer Sunrise sunset binary index
89 PRI_SS none integer Sunrise sunset binary index
90 UPL_SS none integer Sunrise sunset binary index
91 VAN_SS none integer Sunrise sunset binary index
92 CEN_SS_3 none floating-point 5 point running mean of binary solar QC values
93 CS2MET_SS_3 none floating-point 5 point running mean of binary solar QC values
94 DISCTR_SS_3 none floating-point 5 point running mean of binary solar QC values
95 PRI_SS_3 none floating-point 5 point running mean of binary solar QC values
96 VAN_SS_3 none floating-point 5 point running mean of binary solar QC values
97 CEN_isDaytime none integer isDaytime
98 Flag_CEN_isDaytime none string QA/QC flags for isDaytime (flagging criteria, where "x" is CEN_isDaytime: )
99 CEN_isNighttime none integer isNighttime
100 Flag_CEN_isNighttime none string QA/QC flags for isNighttime (flagging criteria, where "x" is CEN_isNighttime: )
101 PRI_isDaytime none integer isDaytime
102 Flag_PRI_isDaytime none string QA/QC flags for isDaytime (flagging criteria, where "x" is PRI_isDaytime: )
103 PRI_isNighttime none integer isNighttime
104 Flag_PRI_isNighttime none string QA/QC flags for isNighttime (flagging criteria, where "x" is PRI_isNighttime: )
105 UPL_isDaytime none integer isDaytime
106 Flag_UPL_isDaytime none string QA/QC flags for isDaytime (flagging criteria, where "x" is UPL_isDaytime: )
107 UPL_isNighttime none integer isNighttime
108 Flag_UPL_isNighttime none string QA/QC flags for isNighttime (flagging criteria, where "x" is UPL_isNighttime: )
109 VAN_isDaytime none integer isDaytime
110 Flag_VAN_isDaytime none string QA/QC flags for isDaytime (flagging criteria, where "x" is VAN_isDaytime: )
111 VAN_isNighttime none integer isNighttime
112 Flag_VAN_isNighttime none string QA/QC flags for isNighttime (flagging criteria, where "x" is VAN_isNighttime: )
113 Hour floating-point Hour of day
114 Flag_Hour none string QA/QC flags for Hour of day (flagging criteria, where "x" is Hour: )
115 SWI_TOT_600_0_02 MJ/m2 floating-point Calculated total radiative energy. MJ/m2 = val_in_watts * number_seconds_in_period / 1000000
116 Flag_SWI_TOT_600_0_02 none string QA/QC flags for Calculated total radiative energy. MJ/m2 = val_in_watts * number_seconds_in_period / 1000000 (flagging criteria, where "x" is SWI_TOT_600_0_02: manual)
117 SWO_TOT_600_0_02 MJ/m2 floating-point Calculated total radiative energy. MJ/m2 = val_in_watts * number_seconds_in_period / 1000000
118 Flag_SWO_TOT_600_0_02 none string QA/QC flags for Calculated total radiative energy. MJ/m2 = val_in_watts * number_seconds_in_period / 1000000 (flagging criteria, where "x" is SWO_TOT_600_0_02: manual)
119 LWI_TOT_600_0_02 MJ/m2 floating-point Calculated total radiative energy. MJ/m2 = val_in_watts * number_seconds_in_period / 1000000
120 Flag_LWI_TOT_600_0_02 none string QA/QC flags for Calculated total radiative energy. MJ/m2 = val_in_watts * number_seconds_in_period / 1000000 (flagging criteria, where "x" is LWI_TOT_600_0_02: manual)
121 LWO_TOT_600_0_02 MJ/m2 floating-point Calculated total radiative energy. MJ/m2 = val_in_watts * number_seconds_in_period / 1000000
122 Flag_LWO_TOT_600_0_02 none string QA/QC flags for Calculated total radiative energy. MJ/m2 = val_in_watts * number_seconds_in_period / 1000000 (flagging criteria, where "x" is LWO_TOT_600_0_02: manual)
Last Modified: 11-Feb-2026 22:41:03