Dataset Details

Data Set ID: uplmet_236_5min_2015
Originator: Christopher Daly
Title: Meteorological data from Upper Met Station at the Andrews Forest. Variables include: precipitation (shelter), swe, snow depth, barometric pressure, batter supply, incoming shortwave radiation from 15-Sep-2015 to 01-Oct-2015
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: 15-Sep-2015 to 01-Oct-2015
Bounding Box: West longitude:  unspecified
North latitude:  unspecified
East longitude:  unspecified
South latitude:  unspecified
Site References: UPLMET_236
Downloads:  Formats

Data Table:  uplmet_236_5min_2015 (Main data table, 4444 records)

Access:  Public

Metadata:  Text (ESA FLED)

Data Files:  Spreadsheet (CSV Text) [856kb], GCE Data Toolbox File [95kb], Web Table (HTML text) [504kb]

Column List:

Column Name Units Type Description (show)
1 Site string Site code
2 Date string Calendar date and time of measurement
3 RecNum count integer RecNum
4 Flag_RecNum none string QA/QC flags for RecNum (flagging criteria, where "x" is RecNum: x<0="I", isnan(x)="M", manual)
5 LOGGERID none integer Logger ID
6 Flag_LOGGERID none string QA/QC flags for Logger ID (flagging criteria, where "x" is LOGGERID: flag_notinarray(x,[227,235,236])="I", isnan(x)="M", manual)
7 PROGID none floating-point Program ID of program
8 Flag_PROGID none string QA/QC flags for Program ID of program (flagging criteria, where "x" is PROGID: flag_valuechange(x,0.1,0.1,1)="P", isnan(x)="M", manual)
9 BATTERY_AVG volts floating-point Battery supply voltage
10 Flag_BATTERY_AVG none string QA/QC flags for Battery supply voltage (flagging criteria, where "x" is BATTERY_AVG: x<0="I", x<11.5="L", x>16="H", isnan(x)="M")
11 BATTERY_V_CHECK floating-point BATTERY_V_CHECK
12 Flag_BATTERY_V_CHECK none string QA/QC flags for BATTERY_V_CHECK (flagging criteria, where "x" is BATTERY_V_CHECK: manual)
13 PRECIP_TOT_625_0_03 mm floating-point Shelter 5min total ppt tipping bucket
14 Flag_PRECIP_TOT_625_0_03 none string QA/QC flags for Shelter 5min total ppt tipping bucket (flagging criteria, where "x" is PRECIP_TOT_625_0_03: x<0="I", x>18.1="Q", isnan(x)="M", Date>=datenum("04/30/2020 12:00:00")&Date<=datenum("06/11/2020 12:00:00")="Q")
15 PRECIP_ACC_625_0_03 mm floating-point Cumulative sum of PRECIP_TOT_625_0_03
16 Flag_PRECIP_ACC_625_0_03 none string QA/QC flags for Cumulative sum of PRECIP_TOT_625_0_03 (flagging criteria, where "x" is PRECIP_ACC_625_0_03: manual)
17 PRECIP_INST_625_0_02 mm floating-point Shelter rain gauge
18 Flag_PRECIP_INST_625_0_02 none string QA/QC flags for Shelter rain gauge (flagging criteria, where "x" is PRECIP_INST_625_0_02: x<0="I", x>1200="I", ORI_SH_AVG<3.5="T", flag_valuechange(x,100,25,1)="R", isnan(x)="M", flag_daterange(Date,{"4/15/2019 12:30:00","4/15/2019 12:40:00"})="I", flag_daterange(Date,{"5/2/2020 00:00:00","6/10/2020 00:00:00"})="Q", manual)
19 PRECIP_TOT_625_0_02 mm floating-point Increment corrected total precipitation
20 Flag_PRECIP_TOT_625_0_02 none string QA/QC flags for Increment corrected total precipitation (flagging criteria, where "x" is PRECIP_TOT_625_0_02: manual)
21 PRECIP_ACC_625_0_02 mm floating-point Cumulative sum of total precipitation
22 Flag_PRECIP_ACC_625_0_02 none string QA/QC flags for Cumulative sum of total precipitation (flagging criteria, where "x" is PRECIP_ACC_625_0_02: manual)
23 ORI_SH_AVG deg c floating-point SH_TEMP_AVG
24 Flag_ORI_SH_AVG none string QA/QC flags for SH_TEMP_AVG (flagging criteria, where "x" is ORI_SH_AVG: isnan(x)="M", x<3.5="T")
25 SNOWDEP_INST_0_0_01 mm floating-point Snow depth
26 Flag_SNOWDEP_INST_0_0_01 none string QA/QC flags for Snow depth (flagging criteria, where "x" is SNOWDEP_INST_0_0_01: isnan(x)="M", SNOWDEP_QUAL_0_0_01<=0="I", SNOWDEP_QUAL_0_0_01<162&SNOWDEP_QUAL_0_0_01>0="Q", SNOWDEP_QUAL_0_0_01>=300&SNOWDEP_QUAL_0_0_01<=600="Q", Date>=datenum("06/23/2015 12:00:00")&Date<=datenum("12/27/2016 12:00:00")="I", Date>=datenum("11/17/2017 23:35:00")&Date<=datenum("11/18/2017 08:50:00")="I", Date>=datenum("11/18/2017 18:50:00")&Date<=datenum("11/19/2017 09:35:00")="I", Date>=datenum("12/01/2017 16:05:00")&Date<=datenum("12/06/2017 08:00:00")="I", flag_daterange(Date,{"10/13/2017 23:55:00","10/14/2017 06:35:00"})="I", flag_daterange(Date,{"10/22/2017 23:05:00","10/23/2017 08:30:00"})="I", flag_daterange(Date,{"11/03/2017 23:55:00","11/04/2017 01:50:00"})="I", flag_daterange(Date,{"11/06/2017 19:10:00","11/07/2017 03:45:00"})="I", flag_daterange(Date,{"11/20/2017 09:20:00","11/20/2017 18:25:00"})="I", flag_daterange(Date,{"11/23/2017 12:15:00","11/25/2017 02:40:00"})="I", flag_daterange(Date,{"11/30/2017 17:25:00","12/01/2017 08:25:00"})="I", flag_daterange(Date,{"12/15/2017 16:20:00","12/31/2017 23:35:00"})="I", flag_daterange(Date,{"11/13/2021 22:30:00","11/13/2021 23:05:00"})="I", flag_daterange(Date,{"11/27/2021 18:00:00","11/27/2021 20:00:00"})="I", flag_daterange(Date,{"01/30/2022 21:40:00","01/30/2022 22:55:00"})="I", manual)
27 SNOWDEP_MED_0_0_01 mm floating-point 12 point running median of SNOWDEP_INST
28 Flag_SNOWDEP_MED_0_0_01 none string QA/QC flags for 12 point running median of SNOWDEP_INST (flagging criteria, where "x" is SNOWDEP_MED_0_0_01: manual)
29 SNOWDEPTH_CHECK floating-point SNOWDEPTH_CHECK
30 Flag_SNOWDEPTH_CHECK none string QA/QC flags for SNOWDEPTH_CHECK (flagging criteria, where "x" is SNOWDEPTH_CHECK: manual)
31 SNOWDEP_QUAL_0_0_01 none integer Snow depth quality flag
32 Flag_SNOWDEP_QUAL_0_0_01 none string QA/QC flags for Snow depth quality flag (flagging criteria, where "x" is SNOWDEP_QUAL_0_0_01: isnan(x)="M", manual)
33 SWE_INST_0_0_01 mm floating-point Snow water equivalent
34 Flag_SWE_INST_0_0_01 none string QA/QC flags for Snow water equivalent (flagging criteria, where "x" is SWE_INST_0_0_01: x<-100="I", x>2500="I", x>2000="Q", isnan(x)="M", Date>=datenum("03/04/2018 12:00:00")&Date<=datenum("03/08/2018 12:00:00")="Q", manual)
35 SWE_MED_0_0_01 mm floating-point 12 point running median of SWE_INST
36 Flag_SWE_MED_0_0_01 none string QA/QC flags for 12 point running median of SWE_INST (flagging criteria, where "x" is SWE_MED_0_0_01: manual)
37 SWE_CHECK floating-point SWE_CHECK
38 Flag_SWE_CHECK none string QA/QC flags for SWE_CHECK (flagging criteria, where "x" is SWE_CHECK: manual)
39 SOLAR_MEAN_100_0_01 w m-2 floating-point Incoming solar radiation
40 Flag_SOLAR_MEAN_100_0_01 none string QA/QC flags for Incoming solar radiation (flagging criteria, where "x" is SOLAR_MEAN_100_0_01: x<=-10="I", x>1367="I", x>1060="Q", isnan(x)="M", Date>=datenum("07/26/2018 06:30:00")&Date<=datenum("07/26/2018 15:30:00")="Q", Date>=datenum("09/25/2018 14:30:00")&Date<=datenum("09/25/2018 15:30:00")="Q", x<-0.5&x>-10="Q")
41 SOLAR_MAX_100_0_01 w m-2 floating-point Incoming solar radiation
42 Flag_SOLAR_MAX_100_0_01 none string QA/QC flags for Incoming solar radiation (flagging criteria, where "x" is SOLAR_MAX_100_0_01: x<=-10="I", x>1367="I", x>1060="Q", isnan(x)="M", Date>=datenum("07/26/2018 06:30:00")&Date<=datenum("07/26/2018 15:30:00")="Q", Date>=datenum("09/25/2018 14:30:00")&Date<=datenum("09/25/2018 15:30:00")="Q", x<-0.5&x>-10="Q")
43 ATMPRESS_INST_0_0_01 mb floating-point Insantenous barametric pressure adjusted to sea level.
44 Flag_ATMPRESS_INST_0_0_01 none string QA/QC flags for Insantenous barametric pressure adjusted to sea level. (flagging criteria, where "x" is ATMPRESS_INST_0_0_01: x<800="Q", x>1200="Q", isnan(x)="M", x<-2000="I", x>2000="I")
45 PAR_MEAN_100_0_01 µmol/m2/s floating-point PAR calculated from SOLAR_MEAN_100_0_01. Total Solar (w/m2) = PAR 2.1 (µmol/m2/s)
46 Flag_PAR_MEAN_100_0_01 none string QA/QC flags for PAR calculated from SOLAR_MEAN_100_0_01. Total Solar (w/m2) = PAR 2.1 (µmol/m2/s) (flagging criteria, where "x" is PAR_MEAN_100_0_01: manual)
47 SOLAR_TOT_100_0_02 MJ/m2 floating-point Calculated total radiative energy. MJ/m2 = val_in_watts * number_seconds_in_period / 1000000
48 Flag_SOLAR_TOT_100_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 SOLAR_TOT_100_0_02: manual)
Last Modified: 28-Mar-2024 01:06:26