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Swiss FluxNet > Data > Variables > Variable Abbreviations

Variable Abbreviations

This list gives an overview of variables commonly used in eddy covariance ecosystem research.

Note: use the search bar above the table to find specific items.

 

wdt_ID Label Description Units (preferred) or format Category Used In
1 #gfRF Gap-filled using random forest same as input var DIIVE
2 #odAL Outliers were removed using outlier detection: absolute limits same as input var DIIVE
3 (footprint) model Model for footprint estimation - EddyPro (_full_output_ file)
4 (z-d)/L Monin-Obukhov stability parameter # EddyPro (_full_output_ file)
5 _f (suffix) Original values and gaps filled with mean of selected datapoints (condition depending on gap filling method) ReddyProc
6 _fall (suffix) All values considered as gaps (for uncertainty estimates) ReddyProc
7 _fall_qc (suffix) All values considered as gaps (for uncertainty estimates) ReddyProc
8 _fmeth (suffix) Method used for gap filling: 1 = similar meteo condition (sFillLUT with Rg, VPD, Tair) 2 = similar meteo (sFillLUT with Rg only) 3 = mean diurnal course (sFillMDC)) ReddyProc
9 _fnum (suffix) Number of datapoints used for gap filling # ReddyProc
10 _fqc (suffix) Quality flag assigned depending on gap filling method and window length: 0 = original, 1 = most reliable, 2 = medium, 3 = least reliable # ReddyProc
11 _fsd (suffix) Standard deviation of datapoints used for gap filling (uncertainty) ReddyProc
12 _fsdu (suffix) Standard deviation across uStar thresholds (uncertainty, bias) ReddyProc
13 _fsdug (suffix) Combination of random uncertainty and uncertainty due to u*: sqrt(fsd^2 + fsdu^2) ReddyProc
14 _fwin (suffix) Full window length used for gap filling ReddyProc
15 _orig (suffix) Original values used for gap filling ReddyProc
16 _QCF0 (suffix) measured (not gap-filled) data of highest quality DIIVE
17 _QCF01 (suffix) measured (not gap-filled) data of highest and OK quality DIIVE
18 _SCF (suffix) Spectral correction factor for the respective flux #
19 _sd (suffix) Standard deviation ReddyProc
20 _SD (suffix) Standard deviation
21 _Thres (suffix) the threshold of uStar values used to mark insufficient conditions m s-1 ReddyProc
22 _U05 (suffix) low estimate (5% quantile of the bootstrapped uncertainty distribution) ReddyProc
23 _U50 (suffix) median estimate (50% quantile of the bootstrapped uncertainty distribution) ReddyProc
24 _U95 (suffix) high estimate (95% quantile of the bootstrapped uncertainty distribution) ReddyProc
25 _uStar (suffix) estimate on the original unbootstrapped data ReddyProc
26 abs_lim Hard flags for individual variables for absolute limits HFu/v/w/ts/co2 /h2o/ch4/n2 EddyPro (_full_output_ file)
27 AGC Automatic Gain Control LI-7500 % EC raw data files (ASCII)
28 AGC Mean value of AGC for LI‑7500RS or LI‑7200RS # EddyPro (_full_output_ file)
29 air_density Density of ambient air kg m-3 EddyPro (_full_output_ file)
30 air_heat_capactiy Specific heat at constant pressure of ambient air J K-1 kg-1 EddyPro (_full_output_ file)
31 air_molar_volume Molar volume of ambient air m3 mol-1 EddyPro (_full_output_ file)
32 air_pressure Mean pressure of ambient air, either calculated from high frequency air pressure readings, or estimated based on site altitude (barometric pressure) Pa EddyPro (_full_output_ file)
33 air_temperature Mean temperature of ambient air, either calculated from high frequency air temperature readings, or estimated from sonic temperature K EddyPro (_full_output_ file)
34 ALB Albedo, range 0-100 % Ameriflux
35 amp_res Hard flags for individual variables for amplitude resolution HFu/v/w/ts/co2 /h2o/ch4/n2 EddyPro (_full_output_ file)
36 APAR Absorbed PAR µmolPhoton m-2 s-1 Ameriflux
37 ATM Atmospheric -
38 attack_angle Hard flag for attack angle test HFu/v/w/ts/co2 /h2o/ch4/n2 EddyPro (_full_output_ file)
39 AVG Average -
40 AW_IN All-wave incoming radiation without correction (Pyrradiometer) W m–2
41 AW_OUT All-wave outgoing radiation without correction (Pyrradiometer) W m–2
42 BAK Backup measurement, e.g. used at ICOS station CH-DAV
43 BC Below Canopy -
44 BD Bulk density g cm-3
45 BICO Python script for BInary COnversion of EC raw data binary files to ASCII format - BICO
46 bowen_ratio Sensible heat flux to latent heat flux ratio # EddyPro (_full_output_ file)
47 BV_EC Battery Voltage EC system V
48 BV_iDL Internal Battery Voltage Logger V (location and replicate number is essential)
49 CH4 CH4 molar fraction (in humid air), wet mole fraction nmol mol-1, µmol mol-1
50 CH4_DRY CH4 dry mole fraction (in dry air), mixing ratio, ppb nmol mol-1 EC raw data files (ASCII)
51 CH4_MIXING_RATIO Methane (CH4) in mole fraction of dry air nmolCH4 mol-1 Ameriflux
52 CH4_QCL_CMB CH4 concentration from QCL for chamber system ppb (nmol CH4 mol-1)
53 CH4_QCL_EC CH4 concentration from QCL for eddy system ppb (nmol CH4 mol-1)
54 CH4_QCL_PRF CH4 concentration from QCL for profile system ppb (nmol CH4 mol-1)
55 CM Chamber -
56 CMB Chamber -
57 CNT Suffix for counts -
58 CO Carbon Monoxide (CO) mole fraction in wet air nmolCO mol-1 Ameriflux
59 CO2 Carbon Dioxide (CO2) mole fraction in wet air µmolCO2 mol-1 Ameriflux
60 CO2_BOLE tree stem CO2 vol%
61 CO2_CONC CO2 concentration density, molar density mmol m-3 EC raw data files (ASCII)
62 CO2_DRY CO2 dry mole fraction (in dry air), mixing ratio, ppm (parts per million) µmol CO2 mol-1 EC raw data files (ASCII)
63 CO2_IRGA70_CMB CO2 concentration from IRGA Li-7000 for chamber system µmol CO2 mol-1
64 CO2_IRGA70_EC CO2 concentration from IRGA Li-7000 for eddy system µmol CO2 mol-1
65 CO2_IRGA70_PRF CO2 concentration from IRGA Li-7000 for profile µmol CO2 mol-1
66 CO2_IRGA70_STM CO2 concentration from IRGA Li-7000, in stem µmol CO2 mol-1
67 CO2_IRGA72_CMB CO2 concentration from IRGA Li-7200 for chamber system µmol CO2 mol-1
68 CO2_IRGA72_EC CO2 concentration from IRGA Li-7200 for eddy system µmol CO2 mol-1
69 CO2_IRGA72_PRF CO2 concentration from IRGA Li-7200 for profile µmol CO2 mol-1
70 CO2_IRGA72_STM CO2 concentration from IRGA Li-7200, in stem µmol CO2 mol-1
71 CO2_IRGA75_CMB CO2 concentration from IRGA Li-7500 for chamber system µmol CO2 mol-1
72 CO2_IRGA75_EC CO2 concentration from IRGA Li-7500 for eddy system µmol CO2 mol-1
73 CO2_IRGA75_PRF CO2 concentration from IRGA Li-7500 for profile µmol CO2 mol-1
74 CO2_IRGA75_STM CO2 concentration from IRGA Li-7500, in stem µmol CO2 mol-1
75 CO2_MIXING_RATIO Carbon Dioxide (CO2) in mole fraction of dry air µmolCO2 mol-1 Ameriflux
76 CO2_SIGMA Standard deviation of carbon dioxide mole fraction in wet air µmolCO2 mol-1 Ameriflux
77 CO2C13 Stable isotopic composition of CO2 - C13 (i.e., d13C of CO2) ‰ (permil) Ameriflux
78 COND_WATER Conductivity (i.e., electrical conductivity) of water µS cm-1 Ameriflux
79 COOLER_V Cooler voltage V EC raw data files (ASCII)
80 CUP Cup Anemometer -
81 D Depth -
82 D_SNOW Snow depth cm, m Ameriflux
83 DATA_SIZE Data size of instrument data block, number of bytes in instrument record bytes EC raw data files (ASCII)
84 DATE date yyyy-mm-dd
85 date Date of the end of the averaging period yyyy-mm-dd EddyPro (_full_output_ file)
86 DAY 2 digit day of month dd
87 DBH diameter of tree measured at breast height(1.3 m) cm
88 DBH Diameter of tree measured at breast height (1.3m) with continuous dendrometers cm Ameriflux
89 DENDRO Dendrometer mm
90 DIF Diffuse -
91 discontinuities Hard flags for individual variables for discontinuities test HFu/v/w/ts/co2 /h2o/ch4/n2 EddyPro (_full_output_ file)
92 discontinuities Soft flags for individual variables for discontinuities test HFu/v/w/ts/co2 /h2o/ch4/n2 EddyPro (_full_output_ file)
93 DNTP Time Difference between NTP Clock and Clock msec
94 DO Dissolved oxygen in water µmol L-1 Ameriflux
95 DOC Dissolved organic carbon mg l-1
96 DOY 3 digit day of year ddd
97 drop_out Hard flags for individual variables for drop-out test HFu/v/w/ts/co2 /h2o/ch4/n2 EddyPro (_full_output_ file)
98 DT Daytime (used in partitioning) - Fluxes
99 e Ambient water vapor partial pressure Pa EddyPro (_full_output_ file)
100 E0 activation energy parameter (K) in relationship between temperature and nighttime NEE from night-time partitioning ReddyProc
101 EC Eddy covariance - Fluxes
102 EP EddyPro Flux Calculation Software -
103 es Ambient water vapor partial pressure at saturation Pa EddyPro (_full_output_ file)
104 ET Evapotranspiration flux mm hour-1
105 ET Evapotranspiration flux mm hour-1 EddyPro (_full_output_ file)
106 ET_f Gap-filled evapotranspiration flux, calculated from gap-filled LE mmol H20 m-2 s-1 ReddyProc
107 EXT External -
108 extravar_mean Mean value of extravar (‡) EddyPro (_full_output_ file)
109 FAPAR Fraction of absorbed PAR, range 0-100 % Ameriflux
110 FC Carbon Dioxide (CO2) turbulent flux (no storage correction) µmolCO2 m-2 s-1 Ameriflux
111 FC_SSITC_TEST Results of the quality flagging for FC according to Foken et al 2004, based on a combination of Steady State and Integral Turbulence Characteristics tests by Foken and Wichura (1996) (i.e., 0, 1, 2) nondimensional Ameriflux
112 FCH4 Methane (CH4) turbulent flux (no storage correction) nmolCH4 m-2 s-1 Ameriflux
113 FCH4_SSITC_TEST Results of the quality flagging for FCH4 according to Foken et al 2004, based on a combination of Steady State and Integral Turbulence Characteristics tests by Foken and Wichura (1996) (i.e., 0, 1, 2) nondimensional Ameriflux
114 FETCH_70 Distance at which footprint cumulative probability is 70% m
115 FETCH_80 Distance at which footprint cumulative probability is 80% m
116 FETCH_90 Distance at which footprint cumulative probability is 90% m
117 FETCH_FILTER Footprint quality flag (i.e., 0, 1): 0 and 1 indicate data measured when wind coming from direction that should be discarded and kept, respectively nondimensional Ameriflux
118 FETCH_MAX Distance at which footprint contribution is maximum m
119 file_records Number of valid records found in the raw file (or set of raw files) # EddyPro (_full_output_ file)
120 filename Name of the raw file (or the first of a set) from which the dataset for the current averaging interval was extracted - EddyPro (_full_output_ file)
121 FIPAR Fraction of intercepted PAR, range 0-100 % Ameriflux
122 FIT_FLAG Fit flag flag EC raw data files (ASCII)
123 FLOW_VOLRATE Volume flow rate in the sampling line L min-1 EC raw data files (ASCII)
124 FN2O Nitrous oxide (N2O) turbulent flux (no storage correction) nmolN2O m-2 s-1 Ameriflux
125 FN2O_SSITC_TEST Results of the quality flagging for FN2O according to Foken et al 2004, based on a combination of Steady State and Integral Turbulence Characteristics tests by Foken and Wichura (1996) (i.e., 0, 1, 2) nondimensional Ameriflux
126 FNO Nitric oxide (NO) turbulent flux (no storage correction) nmolNO m-2 s-1 Ameriflux
127 FNO_SSITC_TEST Results of the quality flagging for FNO according to Foken et al 2004, based on a combination of Steady State and Integral Turbulence Characteristics tests by Foken and Wichura (1996) (i.e., 0, 1, 2) nondimensional Ameriflux
128 FNO2 Nitrogen dioxide (NO2) turbulent flux (no storage correction) nmolNO2 m-2 s-1 Ameriflux
129 FNO2_SSITC_TEST Results of the quality flagging for FNO2 according to Foken et al 2004, based on a combination of Steady State and Integral Turbulence Characteristics tests by Foken and Wichura (1996) (i.e., 0, 1, 2) nondimensional Ameriflux
130 FO3 Ozone (O3) turbulent flux (no storage correction) nmolO3 m-2 s-1 Ameriflux
131 FO3_SSITC_TEST Results of the quality flagging for FO3 according to Foken et al 2004, based on a combination of Steady State and Integral Turbulence Characteristics tests by Foken and Wichura (1996) (i.e., 0, 1, 2) nondimensional Ameriflux
132 FOG Fog presence
133 FP Flux partitioning ReddyProc
134 FP__sd estimated standard devation of X ReddyProc
135 FP__sd estimated standard devation of X ReddyProc
136 FP_alpha canopy light utilization efficiency and represents the initial slope of the light–response curve (daytime partitioning) ReddyProc
137 FP_beta maximum CO2 uptake rate of the canopy at light saturation (μmol m-2 s-1) (daytime partitioning) μmol m-2 s-1 ReddyProc
138 FP_dRecPar records until or after closest record that has a parameter estimate associated (daytime partitioning) ReddyProc
139 FP_E0 activation energy parameter (K) in relationship between temperature and nighttime NEE from day-time partitioning ReddyProc
140 FP_GPP2000 GPP at incoming radiation of 2000 Wm-2, more robust alternative to saturation FP_k ReddyProc
141 FP_k parameter controlling the VPD limitation of GPP (daytime partitioning) (daytime partitioning) ReddyProc
142 FP_qc quality flag of the estimated parameters: 0: good parameter fit, 1: some parameters out of range, required refit, 2: next parameter estimate is more than two weeks away (daytime partitioning) ReddyProc
143 FP_RRef respiration at reference temperature parameter (μmol m-2 s-1 as NEE) in relationship between temperature and nighttime NEE from day-time partitioning μmol m-2 s-1 ReddyProc
144 FP_RRef_Night same as FP_RRef using the same FP_E0, but from intermedate step based on night-time data ReddyProc
145 G Soil heat flux W m-2 Ameriflux
146 G_SF calibration/sensitivity factor of G uV (W m-2)-1
147 GA_DIAG_CODE GA diagnostic value # EC raw data files (ASCII)
148 gas_def_timelag Flag: whether the reported time lag is the default (T) or calculated (F) T/F EddyPro (_full_output_ file)
149 gas_flux Corrected gas flux µmol m-2 s-1(†) EddyPro (_full_output_ file)
150 gas_mixing_ratio Measured or estimated mixing ratio of gas µmol mol-1(†) EddyPro (_full_output_ file)
151 gas_molar_density Measured or estimated molar density of gas mmol m-3 EddyPro (_full_output_ file)
152 gas_mole_fraction Measured or estimated mole fraction of gas µmol mol-1(†) EddyPro (_full_output_ file)
153 gas_scf Spectral correction factor for gas flux # EddyPro (_full_output_ file)
154 gas_strg Estimate of storage gas flux µmol s-1 m-2(†) EddyPro (_full_output_ file)
155 gas_time_lag Time lag used to synchronize gas time series s EddyPro (_full_output_ file)
156 gas_v-adv Estimate of vertical advection flux µmol s-1 m-2(†) EddyPro (_full_output_ file)
157 GPP Gross Primary Productivity (nighttime-based) µmolCO2 m-2 s-1 Ameriflux
158 GPP_CUT_16_f Gross primary production, i.e. influx to the land surface (μmol m-2 s-1 as NEE) (nighttime-based), modelled from NEE_CUT_16_f μmol CO2 m-2 s-1
159 GPP_CUT_84_f Gross primary production, i.e. influx to the land surface (μmol m-2 s-1 as NEE) (nighttime-based), modelled from NEE_CUT_84_f μmol CO2 m-2 s-1
160 GPP_CUT_REF_f Gross primary production, i.e. influx to the land surface (μmol m-2 s-1 as NEE) (nighttime-based), modelled from NEE_CUT_REF_f μmol CO2 m-2 s-1
161 GPP_DT Gross primary production, i.e. influx to the land surface (μmol m-2 s-1 as NEE) estimated by day-time partitioning μmol m-2 s-1 ReddyProc
162 GPP_DT_CUT_16 Gross primary production, i.e. influx to the land surface (μmol m-2 s-1 as NEE) estimated by day-time partitioning, modelled from NEE_CUT_16_f μmol m-2 s-1
163 GPP_DT_CUT_84 Gross primary production, i.e. influx to the land surface (μmol m-2 s-1 as NEE) estimated by day-time partitioning, modelled from NEE_CUT_84_f μmol m-2 s-1
164 GPP_DT_CUT_REF Gross primary production, i.e. influx to the land surface (μmol m-2 s-1 as NEE) estimated by day-time partitioning, modelled from NEE_CUT_REF_f μmol m-2 s-1
165 GPP_f Gross primary production, i.e. influx to the land surface (μmol m-2 s-1 as NEE) (nighttime-based) μmol m-2 s-1 ReddyProc
166 GS Stomatal Conductance mmol H2O m-2 s-1
167 GWL Ground Water Level m
168 H Corrected sensible heat flux (no storage correction) W m-2
169 H Corrected sensible heat flux W m-2 EddyPro (_full_output_ file)
170 H_scf Spectral correction factor for sensible heat flux # EddyPro (_full_output_ file)
171 H_SSITC_TEST Results of the quality flagging for H according to Foken et al 2004, based on a combination of Steady State and Integral Turbulence Characteristics tests by Foken and Wichura (1996) (i.e., 0, 1, 2) nondimensional Ameriflux
172 H_strg Estimate of storage sensible heat flux W m-2 EddyPro (_full_output_ file)
173 H2O H2O molar fraction (in humid air), wet mole fraction umol mol-1 EC raw data files (ASCII)
174 H2O_CONC H2O concentration density, molar density mmol m-3 EC raw data files (ASCII)
175 H2O_DRY H2O dry mole fraction (in dry air), mixing ratio, ppt (parts per THOUSAND) mmol mol-1 EC raw data files (ASCII)
176 H2O_IRGA70_CMB H2O concentration from IRGA Li-7000 for chamber system mmol H2O mol-1
177 H2O_IRGA70_EC H2O concentration from IRGA Li-7000 for eddy system mmol H2O mol-1
178 H2O_IRGA70_PRF H2O concentration from IRGA Li-7000 for profile mmol H2O mol-1
179 H2O_IRGA72_CMB H2O concentration from IRGA Li-7200 for chamber system mmol H2O mol-1
180 H2O_IRGA72_EC H2O concentration from IRGA Li-7200 for eddy system mmol H2O mol-1
181 H2O_IRGA72_PRF H2O concentration from IRGA Li-7200 for profile mmol H2O mol-1
182 H2O_IRGA75_CMB H2O concentration from IRGA Li-7500 for chamber system mmol H2O mol-1
183 H2O_IRGA75_EC H2O concentration from IRGA Li-7500 for eddy system mmol H2O mol-1
184 H2O_IRGA75_PRF H2O concentration from IRGA Li-7500 for profile mmol H2O mol-1
185 H2O_MIXING_RATIO Water (H2O) vapor in mole fraction of dry air mmolH2O mol-1 Ameriflux
186 H2O_QCL_EC H2O concentration from QCL for eddy system ppb (nmol H2O mol-1)
187 H2O_SIGMA Standard deviation of water vapor mole fraction mmolH2O mol-1 Ameriflux
188 HEAT_ Heating (prefix, e.g. for sonic heating)
189 HOUR 2 digit hour of the day HH
190 HS100 Sonic anemometer Gill HS-100 -
191 HS50 Sonic anemometer Gill HS-50 -
192 IN Incoming -
193 INC_X Inclinometer x ° EC raw data files (ASCII)
194 INC_XY Inclinometer, alternatively x (odd record numbers) and y (even record numbers) ° EC raw data files (ASCII)
195 INC_Y Inclinometer y ° EC raw data files (ASCII)
196 INT Internal -
197 IRGA Infrared Gas Analyzer -
198 IRGA62 Closed-path IRGA LI-6262 -
199 IRGA70 IRGA LI-7000 -
200 IRGA72 Enclosed-path IRGA Li-7200
201 IRGA75 Open-path IRGA Li-7500 -
202 L Monin-Obukhov length M EddyPro (_full_output_ file)
203 LE Corrected latent heat flux W m-2 EddyPro (_full_output_ file)
204 LE_f gapfilled latent heat flux, filtered by all quality checks W m-2
205 LE_orig_QCF0 measured (not gap-filled) latent heat flux of highest quality W m-2
206 LE_scf Spectral correction factor for latent heat flux # EddyPro (_full_output_ file)
207 LE_SSITC_TEST Results of the quality flagging for LE according to Foken et al 2004, based on a combination of Steady State and Integral Turbulence Characteristics tests by Foken and Wichura (1996) (i.e., 0, 1, 2) nondimensional Ameriflux
208 LE_strg Estimate of storage latent heat flux W m-2 EddyPro (_full_output_ file)
209 LEAF_WET Leaf wetness, range 0-100 % Ameriflux
210 LGR Los Gatos laser (instrument) EC raw data files (ASCII)
211 LS Lightning strike unitless
212 LSD Lightning strike distance km
213 LW Longwave radiation W m-2
214 LW _IN_RAW Longwave Incoming Radiation without blackbody correction W m-2
215 LW _OUT_RAW Longwave Incoming Radiation without blackbody correction W m-2
216 LW_BC_IN Longwave radiation, below canopy incoming W m-2 Ameriflux
217 LW_BC_OUT Longwave radiation, below canopy outgoing W m-2 Ameriflux
218 LW_IN Longwave radiation, incoming W m-2 Ameriflux
219 LW_OUT Longwave radiation, outgoing W m-2 Ameriflux
220 MAX Maximum -
221 max_wind_speed Maximum instantaneous wind speed m s-1 EddyPro (_full_output_ file)
222 MDS Marginal distribution sampling (Reichstein et al., 2005) - Fluxes
223 MET Meteorological Data -
224 MIN Minimum -
225 MIN Minute -
226 MINUTE 2 digit minute of the day MM
227 MIRROR_RINGDOWNTIME Mirror ring-down time µs EC raw data files (ASCII)
228 MO_LENGTH Monin-Obukhov length m Ameriflux
229 MONTH 2 digit month of year mm
230 MSW MeteoSwiss
231 N2O N2O molar fraction (in humid air), wet mole fraction nmol mol-1, µmol mol-1 EC raw data files (ASCII)
232 N2O_DRY N2O dry mole fraction (in dry air), mixing ratio, ppb nmol mol-1 EC raw data files (ASCII)
233 N2O_MIXING_RATIO Nitrous Oxide (N2O) in mole fraction of dry air nmolN2O mol-1 Ameriflux
234 N2O_QCL_CMB N2O concentration from QCL for chamber system ppb (nmol N2O mol-1)
235 N2O_QCL_EC N2O concentration from QCL for eddy system ppb (nmol N2O mol-1)
236 N2O_QCL_PRF N2O concentration from QCL for profile ppb (nmol N2O mol-1)
237 NDVI Normalized Difference Vegetation Index nondimensional Ameriflux
238 NEE Net ecosystem exchange of CO2 µmol CO2 m-2 s-1 Fluxes
239 NEE_CUT_16_f gap-filled NEE, filtered by all quality checks and the 16th percentile USTAR threshold (constant for all years) from FLUXNET analyses µmol CO2 m-2 s-1
240 NEE_CUT_16_orig measured (not gap-filled NEE), filtered by all quality checks and the 16th percentile USTAR threshold (constant for all years) from FLUXNET analyses µmol CO2 m-2 s-1
241 NEE_CUT_84_f gap-filled NEE, filtered by all quality checks and the 84th percentile USTAR threshold (constant for all years) from FLUXNET analyses µmol CO2 m-2 s-1
242 NEE_CUT_84_orig measured (not gap-filled NEE), filtered by all quality checks and the 84th percentile USTAR threshold (constant for all years) from FLUXNET analyses µmol CO2 m-2 s-1
243 NEE_CUT_REF_f gap-filled NEE, filtered by all quality checks and the CUT_REF USTAR threshold (constant for all years) from FLUXNET analyses µmol CO2 m-2 s-1
244 NEE_CUT_REF_orig_QCF0 measured (not gap-filled) NEE of highest quality, filtered by all quality checks and the CUT_REF percentile USTAR threshold (constant for all years) from FLUXNET analyses µmol CO2 m-2 s-1
245 NEE_U50_QCF0 measured (not gap-filled) NEE of highest quality, filtered by all quality checks and the median (50th percentile) USTAR threshold umol CO2 m-2 s-1 DIIVE
246 NETRAD Net Radiation W m-2
247 NH4 Ammonium concentration µg g-1 soil
248 NO Nitric oxide (NO) mole fraction in wet air nmolNO mol-1 Ameriflux
249 NO2 Nitrogen dioxide (NO2) mole fraction in wet air nmolNO2 mol-1 Ameriflux
250 NO3 Nitrate concentration µg g-1 soil
251 non_steady_wind Hard flag for non-steady horizontal test HFu/v/w/ts/co2 /h2o/ch4/n2 EddyPro (_full_output_ file)
252 NT Nighttime (used in partitioning) - Fluxes
253 NUMVALS Number of values #
254 O2 Oxygen Has to be seen when we have the sensors
255 O3 Ozone (O3) mole fraction in wet air nmolO3 mol-1 Ameriflux
256 OSO On Site Operation -
257 OUT Outgoing -
258 P Precipitation mm FLUXNET
259 PA Atmospheric Pressure Pa, kPa, hPa or other
260 PA_PRF Atmospheric Pressure in Profile Pa, kPa, hPa or other
261 PBLH Planetary boundary layer height m Ameriflux
262 PCH4
263 pitch Second rotation angle ° (degrees) EddyPro (_full_output_ file)
264 PPFD Photosynthetic photon flux density, without additional suffix it is typically incoming µmolPhoton m-2 s-1
265 PPFD_IN Photosynthetic photon flux density, incoming µmolPhoton m-2 s-1
266 PPFD_OUT Photosynthetic photon flux density, outgoing µmolPhoton m-2 s-1
267 PREC Precipitation mm
268 qc_gas_flux Quality flag for gas flux # EddyPro (_full_output_ file)
269 qc_H Quality flag for sensible heat flux # EddyPro (_full_output_ file)
270 qc_LE Quality flag latent heat flux # EddyPro (_full_output_ file)
271 qc_Tau Quality flag for momentum flux # EddyPro (_full_output_ file)
272 QCF_ (prefix) quality control flag for the respective variable #
273 QCF_LE quality control flag for latent heat flux (0=best, 1=OK, 2=bad), typically for LE_f #
274 QCF_NEE quality control flag for NEE (0=best, 1=OK, 2=bad), typically for NEE_CUT_REF_f #
275 R_ref respiration at reference temperature parameter (μmol m-2 s-1 as NEE) in relationship between temperature and nighttime NEE from night-time partitioning μmol CO2 m-2 s-1 ReddyProc
276 rand_err_gas_flux Random error for gas flux, if selected µmol s-1 m-2(†) EddyPro (_full_output_ file)
277 rand_err_H Random error for momentum flux, if selected W m-2 EddyPro (_full_output_ file)
278 rand_err_LE Random error for latent heat flux, if selected W m-2 EddyPro (_full_output_ file)
279 rand_err_Tau Random error for momentum flux, if selected kg m-1 s-2 EddyPro (_full_output_ file)
280 Reco_CUT_16 Ecosystem respiration, i.e. outflux from the land surface (μmol m-2 s-1 as NEE) (nighttime-based), modelled from NEE_CUT_16_f umol CO2 m-2 s-1
281 Reco_CUT_84 Ecosystem respiration, i.e. outflux from the land surface (μmol m-2 s-1 as NEE) (nighttime-based), modelled from NEE_CUT_84_f umol CO2 m-2 s-1
282 Reco_CUT_REF Ecosystem respiration, i.e. outflux from the land surface (μmol m-2 s-1 as NEE) (nighttime-based), modelled from NEE_CUT_REF_f umol CO2 m-2 s-1
283 Reco_DT_CUT_16 Ecosystem respiration, i.e. outflux from the land surface (μmol m-2 s-1 as NEE) estimated by day-time partitioning, modelled from NEE_CUT_16_f umol CO2 m-2 s-1
284 Reco_DT_CUT_84 Ecosystem respiration, i.e. outflux from the land surface (μmol m-2 s-1 as NEE) estimated by day-time partitioning, modelled from NEE_CUT_84_f umol CO2 m-2 s-1
285 Reco_DT_CUT_REF Ecosystem respiration, i.e. outflux from the land surface (μmol m-2 s-1 as NEE) estimated by day-time partitioning, modelled from NEE_CUT_REF_f umol CO2 m-2 s-1
286 Reco_f Ecosystem respiration, i.e. outflux from the land surface (μmol m-2 s-1 as NEE) (nighttime-based) μmol CO2 m-2 s-1 ReddyProc
287 Rg Shortwave radiation, incoming W m-2 ReddyProc
288 Rg_f Gap-filled shortwave radiation, incoming, typically gap-filled using MDS W m-2 ReddyProc
289 Rg_orig Measured (not gap-filled) shortwave radiation, incoming, typically gap-filled using MDS W m-2 ReddyProc
290 RH Relative humidity %
291 RH Ambient relative humidity 0 EddyPro (_full_output_ file)
292 roll Third rotation angle ° (degrees) EddyPro (_full_output_ file)
293 RSSI Mean value of RSSI for LI‑7700, if present # EddyPro (_full_output_ file)
294 SDP Soil Dielectric Permittivity unitless
295 skw_kur Hard flags for individual variables for skewness and kurtosis HFu/v/w/ts/co2 /h2o/ch4/n2 EddyPro (_full_output_ file)
296 skw_kur Soft flags for individual variables for skewness and kurtosis test HFu/v/w/ts/co2 /h2o/ch4/n2 EddyPro (_full_output_ file)
297 sonic_temperature Mean temperature of ambient air as measured by the anemometer K EddyPro (_full_output_ file)
298 specific_humidity Ambient specific humidity on a mass basis kg kg-1 EddyPro (_full_output_ file)
299 spikes Hard flags for individual variables for spike test HFu/v/w/ts/co2 /h2o/ch4/n2 EddyPro (_full_output_ file)
300 SW Shortwave radiation W m-2
301 SW_IN Shortwave radiation, incoming W m-2
302 SW_OUT Shortwave radiation, outgoing W m-2
303 SWC Soil water content %
304 SWP Soil water potential kPa
305 T* Scaling temperature K EddyPro (_full_output_ file)
306 TA Air temperature °C
307 Tair Air temperature °C ReddyProc
308 Tair_f Gap-filled air temperature, typically gap-filled using MDS °C ReddyProc
309 Tair_orig Measured (not gap-filled) air temperature °C ReddyProc
310 TAU Momentum flux kg m-1 s-2
311 Tau Corrected momentum flux kg m-1 s-2 EddyPro (_full_output_ file)
312 Tau_scf Spectral correction factor for momentum flux # EddyPro (_full_output_ file)
313 Tdew Ambient dew point temperature K EddyPro (_full_output_ file)
314 TG Grass temperature deg C
315 time Time of the end of the averaging period HH:MM EddyPro (_full_output_ file)
316 time_lag Hard flags for gas concentration for time lag test HFu/v/w/ts/co2 /h2o/ch4/n2 EddyPro (_full_output_ file)
317 time_lag Soft flags for gas concentration for time lag test HFu/v/w/ts/co2 /h2o/ch4/n2 EddyPro (_full_output_ file)
318 TKE Turbulent kinetic energy m2 s-2 EddyPro (_full_output_ file)
319 TPANEL Panel temperature deg C
320 u* Friction velocity m s-1 EddyPro (_full_output_ file)
321 u_rot Rotated u wind component (mean wind speed) m s-1 EddyPro (_full_output_ file)
322 u_unrot Wind component along the u anemometer axis m s-1 EddyPro (_full_output_ file)
323 un_gas_flux Uncorrected gas flux µmol s-1 m-2(†) EddyPro (_full_output_ file)
324 un_H Uncorrected sensible heat flux W m-2 EddyPro (_full_output_ file)
325 un_LE Uncorrected latent heat flux W m-2 EddyPro (_full_output_ file)
326 un_Tau Uncorrected momentum flux kg m-1 s-2 EddyPro (_full_output_ file)
327 used_records Number of valid records used for current the averaging period # EddyPro (_full_output_ file)
328 USTAR Friction velocity m s-1
329 Ustar_CUT_REF_Thres USTAR threshold used for _CUT_REF_ variables m s-1 ReddyProc
330 v_rot Rotated v wind component (should be zero) m s-1 EddyPro (_full_output_ file)
331 v_unrot Wind component along the v anemometer axis m s-1 EddyPro (_full_output_ file)
332 var_spikes Number of spikes detected and eliminated for variable var # EddyPro (_full_output_ file)
333 var_var Variance of variable var #NAME? EddyPro (_full_output_ file)
334 VPD Vapor pressure deficit kPa or hPa
335 VPD Ambient water vapor pressure deficit Pa EddyPro (_full_output_ file)
336 VPD_f Gap-filled vapor pressure deficit, typically gap-filled using MDS kPa or hPa
337 VPD_orig Vapor pressure deficit calculated (not gap-filled) from measured TA and measured RH kPa or hPa
338 w/var_cov Covariance between w and variable var #NAME? EddyPro (_full_output_ file)
339 w_rot Rotated w wind component (should be zero) m s-1 EddyPro (_full_output_ file)
340 w_unrot Wind component along the w anemometer axis m s-1 EddyPro (_full_output_ file)
341 water_vapor_density Ambient mass density of water vapor kg m-3 EddyPro (_full_output_ file)
342 wind_dir Direction from which the wind blows, with respect to Geographic or Magnetic north ° (degrees) EddyPro (_full_output_ file)
343 wind_speed Mean wind speed m s-1 EddyPro (_full_output_ file)
344 x_10% Along-wind distance providing 10% (cumulative) contribution to turbulent fluxes m EddyPro (_full_output_ file)
345 x_30% Along-wind distance providing 30% (cumulative) contribution to turbulent fluxes m EddyPro (_full_output_ file)
346 x_50% Along-wind distance providing 50% (cumulative) contribution to turbulent fluxes m EddyPro (_full_output_ file)
347 x_70% Along-wind distance providing 70% (cumulative) contribution to turbulent fluxes m EddyPro (_full_output_ file)
348 x_90% Along-wind distance providing 90% (cumulative) contribution to turbulent fluxes m EddyPro (_full_output_ file)
349 x_offset Along-wind distance providing m EddyPro (_full_output_ file)
350 x_peak Along-wind distance providing the highest (peak) contribution to turbulent fluxes m EddyPro (_full_output_ file)
351 yaw First rotation angle ° (degrees) EddyPro (_full_output_ file)
352 CO2_F_MDS CO2 mole fraction, gapfilled with MDS; µmolCO2 mol-1 MICROMETEOROLOGICAL FLUXNET HH (half-hourly)
353 CO2_F_MDS_QC Quality flag for CO2_F_MDS; 0 = measured; 1 = good quality gapfill; 2 = medium; 3 = poor nondimensional MICROMETEOROLOGICAL FLUXNET HH (half-hourly)
354 EBC_CF_METHOD Method used to calculate the energy balance closure correction factor; 1 = ECB_CF Method 1, 2 = ECB_CF Method 2, 3 = ECB_CF Method 3. See general description for details nondimensional ENERGY PROCESSING FLUXNET HH (half-hourly)
355 EBC_CF_N Number of data points used to calculate energy closure balance correction factor. Driver data points within sliding window (ECB_CF Method 1) or number of ECB_CF data points (for ECB_CF Methods 2 and 3); for ECB_CF Method 1 (minimum 5, maximum 93) nondimensional ENERGY PROCESSING FLUXNET HH (half-hourly)
356 GPP_DT_CUT_MEAN Gross Primary Production, from Daytime partitioning method, average from GPP versions, each from corresponding NEE_CUT_XX version; average from 40 half-hourly GPP_DT_CUT_XX µmolCO2 m-2 s-1 DAYTIME PARTITIONING FLUXNET HH (half-hourly)
357 GPP_DT_CUT_REF Gross Primary Production, from Daytime partitioning method, reference selected from GPP versions using model efficiency (MEF). The MEF analysis is repeated for each time aggregation; µmolCO2 m-2 s-1 DAYTIME PARTITIONING FLUXNET HH (half-hourly)
358 GPP_DT_CUT_SE Standard Error for Gross Primary Production, calculated as (SD(GPP_DT_CUT_XX) / SQRT(40)); SE from 40 half-hourly GPP_DT_CUT_XX µmolCO2 m-2 s-1 DAYTIME PARTITIONING FLUXNET HH (half-hourly)
359 GPP_DT_CUT_USTAR50 Gross Primary Production, from Daytime partitioning method, based on NEE_CUT_USTAR50; µmolCO2 m-2 s-1 DAYTIME PARTITIONING FLUXNET HH (half-hourly)
360 GPP_DT_CUT_XX Gross Primary Production, from Daytime partitioning method (with XX = 05, 16, 25, 50, 75, 84, 95); µmolCO2 m-2 s-1 DAYTIME PARTITIONING FLUXNET HH (half-hourly)
361 GPP_DT_VUT_MEAN Gross Primary Production, from Daytime partitioning method, average from GPP versions, each from corresponding NEE_VUT_XX version; average from 40 half-hourly GPP_DT_VUT_XX µmolCO2 m-2 s-1 DAYTIME PARTITIONING FLUXNET HH (half-hourly)
362 GPP_DT_VUT_REF Gross Primary Production, from Daytime partitioning method, reference selected from GPP versions using model efficiency (MEF). The MEF analysis is repeated for each time aggregation; µmolCO2 m-2 s-1 DAYTIME PARTITIONING FLUXNET HH (half-hourly)
363 GPP_DT_VUT_SE Standard Error for Gross Primary Production, calculated as (SD(GPP_DT_VUT_XX) / SQRT(40)); SE from 40 half-hourly GPP_DT_VUT_XX µmolCO2 m-2 s-1 DAYTIME PARTITIONING FLUXNET HH (half-hourly)
364 GPP_DT_VUT_USTAR50 Gross Primary Production, from Daytime partitioning method, based on NEE_VUT_USTAR50; µmolCO2 m-2 s-1 DAYTIME PARTITIONING FLUXNET HH (half-hourly)
365 GPP_DT_VUT_XX Gross Primary Production, from Daytime partitioning method (with XX = 05, 16, 25, 50, 75, 84, 95); µmolCO2 m-2 s-1 DAYTIME PARTITIONING FLUXNET HH (half-hourly)
366 GPP_NT_CUT_MEAN Gross Primary Production, from Nighttime partitioning method, average from GPP versions, each from corresponding NEE_CUT_XX version; average from 40 half-hourly GPP_NT_CUT_XX µmolCO2 m-2 s-1 NIGHTTIME PARTITIONING FLUXNET HH (half-hourly)
367 GPP_NT_CUT_REF Gross Primary Production, from Nighttime partitioning method, reference selected from GPP versions using model efficiency (MEF). The MEF analysis is repeated for each time aggregation; µmolCO2 m-2 s-1 NIGHTTIME PARTITIONING FLUXNET HH (half-hourly)
368 GPP_NT_CUT_SE Standard Error for Gross Primary Production, calculated as (SD(GPP_NT_CUT_XX) / SQRT(40)); SE from 40 half-hourly GPP_NT_CUT_XX µmolCO2 m-2 s-1 NIGHTTIME PARTITIONING FLUXNET HH (half-hourly)
369 GPP_NT_CUT_USTAR50 Gross Primary Production, from Nighttime partitioning method, based on NEE_CUT_USTAR50; µmolCO2 m-2 s-1 NIGHTTIME PARTITIONING FLUXNET HH (half-hourly)
370 GPP_NT_CUT_XX Gross Primary Production, from Nighttime partitioning method (with XX = 05, 16, 25, 50, 75, 84, 95); µmolCO2 m-2 s-1 NIGHTTIME PARTITIONING FLUXNET HH (half-hourly)
371 GPP_NT_VUT_MEAN Gross Primary Production, from Nighttime partitioning method, average from GPP versions, each from corresponding NEE_VUT_XX version; average from 40 half-hourly GPP_NT_VUT_XX µmolCO2 m-2 s-1 NIGHTTIME PARTITIONING FLUXNET HH (half-hourly)
372 GPP_NT_VUT_REF Gross Primary Production, from Nighttime partitioning method, reference selected from GPP versions using model efficiency (MEF). The MEF analysis is repeated for each time aggregation; µmolCO2 m-2 s-1 NIGHTTIME PARTITIONING FLUXNET HH (half-hourly)
373 GPP_NT_VUT_SE Standard Error for Gross Primary Production, calculated as (SD(GPP_NT_VUT_XX) / SQRT(40)); SE from 40 half-hourly GPP_NT_VUT_XX µmolCO2 m-2 s-1 NIGHTTIME PARTITIONING FLUXNET HH (half-hourly)
374 GPP_NT_VUT_USTAR50 Gross Primary Production, from Nighttime partitioning method, based on NEE_VUT_USTAR50; µmolCO2 m-2 s-1 NIGHTTIME PARTITIONING FLUXNET HH (half-hourly)
375 GPP_NT_VUT_XX Gross Primary Production, from Nighttime partitioning method (with XX = 05, 16, 25, 50, 75, 84, 95); µmolCO2 m-2 s-1 NIGHTTIME PARTITIONING FLUXNET HH (half-hourly)
376 G_F_MDS Soil heat flux; W m-2 ENERGY PROCESSING FLUXNET HH (half-hourly)
377 G_F_MDS_QC Quality flag of G_F_MDS; 0 = measured; 1 = good quality gapfill; 2 = medium; 3 = poor nondimensional ENERGY PROCESSING FLUXNET HH (half-hourly)
378 H_CORR Sensible heat flux, corrected H_F_MDS by energy balance closure correction factor; W m-2 ENERGY PROCESSING FLUXNET HH (half-hourly)
379 H_CORR_25 Sensible heat flux, corrected H_F_MDS by energy balance closure correction factor, 25th percentile; W m-2 ENERGY PROCESSING FLUXNET HH (half-hourly)
380 H_CORR_75 Sensible heat flux, corrected H_F_MDS by energy balance closure correction factor, 75th percentile; W m-2 ENERGY PROCESSING FLUXNET HH (half-hourly)
381 H_CORR_JOINTUNC Joint uncertainty estimation for H; [SQRT(H_RANDUNC^2 + ((H_CORR75 - H_CORR25) / 1.349)^2)] W m-2 ENERGY PROCESSING FLUXNET HH (half-hourly)
382 H_F_MDS Sensible heat flux, gapfilled using MDS method; W m-2 ENERGY PROCESSING FLUXNET HH (half-hourly)
383 H_F_MDS_QC Quality flag for H_F_MDS, H_CORR, H_CORR25, and H_CORR75.; 0 = measured; 1 = good quality gapfill; 2 = medium; 3 = poor nondimensional ENERGY PROCESSING FLUXNET HH (half-hourly)
384 H_RANDUNC Random uncertainty of H, from measured only data; uses only data point where H_F_MDS_QC is 0 and two hierarchical methods (see header and H_RANDUNC_METHOD) W m-2 ENERGY PROCESSING FLUXNET HH (half-hourly)
385 H_RANDUNC_METHOD Method used to estimate the random uncertainty of H; 1 = RANDUNC Method 1 (direct SD method), 2 = RANDUNC Method 2 (median SD method) nondimensional ENERGY PROCESSING FLUXNET HH (half-hourly)
386 H_RANDUNC_N Number of half-hour data points used to estimate the random uncertainty of H; nondimensional ENERGY PROCESSING FLUXNET HH (half-hourly)
387 LE_CORR Latent heat flux, corrected LE_F_MDS by energy balance closure correction factor; W m-2 ENERGY PROCESSING FLUXNET HH (half-hourly)
388 LE_CORR_25 Latent heat flux, corrected LE_F_MDS by energy balance closure correction factor, 25th percentile; W m-2 ENERGY PROCESSING FLUXNET HH (half-hourly)
389 LE_CORR_75 Latent heat flux, corrected LE_F_MDS by energy balance closure correction factor, 75th percentile; W m-2 ENERGY PROCESSING FLUXNET HH (half-hourly)
390 LE_CORR_JOINTUNC Joint uncertainty estimation for LE; [SQRT(LE_RANDUNC^2 + ((LE_CORR75 - LE_CORR25) / 1.349)^2)] W m-2 ENERGY PROCESSING FLUXNET HH (half-hourly)
391 LE_F_MDS Latent heat flux, gapfilled using MDS method; W m-2 ENERGY PROCESSING FLUXNET HH (half-hourly)
392 LE_F_MDS_QC Quality flag for LE_F_MDS, LE_CORR, LE_CORR25, and LE_CORR75.; 0 = measured; 1 = good quality gapfill; 2 = medium; 3 = poor nondimensional ENERGY PROCESSING FLUXNET HH (half-hourly)
393 LE_RANDUNC Random uncertainty of LE, from measured only data; uses only data point where LE_F_MDS_QC is 0 and two hierarchical methods (see header and LE_RANDUNC_METHOD) W m-2 ENERGY PROCESSING FLUXNET HH (half-hourly)
394 LE_RANDUNC_METHOD Method used to estimate the random uncertainty of LE; 1 = RANDUNC Method 1 (direct SD method), 2 = RANDUNC Method 2 (median SD method) nondimensional ENERGY PROCESSING FLUXNET HH (half-hourly)
395 LE_RANDUNC_N Number of half-hour data points used to estimate the random uncertainty of LE; nondimensional ENERGY PROCESSING FLUXNET HH (half-hourly)
396 LW_IN_ERA Longwave radiation, incoming, downscaled from ERA, linearly regressed using measured only site data; W m-2 MICROMETEOROLOGICAL FLUXNET HH (half-hourly)
397 LW_IN_F Longwave radiation, incoming, consolidated from LW_IN_F_MDS and LW_IN_ERA; LW_IN_F_MDS used if LW_IN_F_MDS_QC is 0 or 1 W m-2 MICROMETEOROLOGICAL FLUXNET HH (half-hourly)
398 LW_IN_F_MDS Longwave radiation, incoming, gapfilled using MDS; W m-2 MICROMETEOROLOGICAL FLUXNET HH (half-hourly)
399 LW_IN_F_MDS_QC Quality flag for LW_IN_F_MDS; 0 = measured; 1 = good quality gapfill; 2 = medium; 3 = poor nondimensional MICROMETEOROLOGICAL FLUXNET HH (half-hourly)
400 LW_IN_F_QC Quality flag for LW_IN_F; 0 = measured; 1 = good quality gapfill; 2 = downscaled from ERA nondimensional MICROMETEOROLOGICAL FLUXNET HH (half-hourly)
401 LW_IN_JSB Longwave radiation, incoming, calculated from TA_F_MDS, SW_IN_F_MDS, VPD_F_MDS and SW_IN_POT using the JSBACH algorithm (Sonke Zaehle); W m-2 MICROMETEOROLOGICAL FLUXNET HH (half-hourly)
402 LW_IN_JSB_ERA Longwave radiation, incoming, downscaled from ERA, linearly regressed using site level LW_IN_JSB calculated from measured only drivers; W m-2 MICROMETEOROLOGICAL FLUXNET HH (half-hourly)
403 LW_IN_JSB_F Longwave radiation, incoming, consolidated from LW_IN_JSB and LW_IN_JSB_ERA; LW_IN_JSB used if LW_IN_JSB_QC is 0 or 1 W m-2 MICROMETEOROLOGICAL FLUXNET HH (half-hourly)
404 LW_IN_JSB_F_QC Quality flag for LW_IN_JSB_F; 0 = calculated from measured drivers; 1 = calculated from good quality gapfilled drivers; 2: downscaled from ERA nondimensional MICROMETEOROLOGICAL FLUXNET HH (half-hourly)
405 LW_IN_JSB_QC Quality flag for LW_IN_JSB; highest from TA_F_MDS_QC, SW_IN_F_MDS_QC, and VPD_F_MDS_QC, poorest quality prevails nondimensional MICROMETEOROLOGICAL FLUXNET HH (half-hourly)
406 LW_OUT Longwave radiation, outgoing; W m-2 MICROMETEOROLOGICAL FLUXNET HH (half-hourly)
407 NEE_CUT_MEAN Net Ecosystem Exchange, using Constant Ustar Threshold (CUT) across years, average from 40 NEE_CUT_XX versions; average from 40 half-hourly NEE_CUT_XX µmolCO2 m-2 s-1 NET ECOSYSTEM EXCHANGE FLUXNET HH (half-hourly)
408 NEE_CUT_MEAN_QC Quality flag for NEE_CUT_MEAN, fraction between 0-1 indicating percentage of good quality data; average of percentages of good data (NEE_CUT_XX_QC is 0 or 1) from 40 NEE_CUT_XX_QC nondimensional NET ECOSYSTEM EXCHANGE FLUXNET HH (half-hourly)
409 NEE_CUT_REF Net Ecosystem Exchange, using Constant Ustar Threshold (CUT) across years, reference selected on the basis of the model efficiency (MEF). The MEF analysis is repeated for each time aggregation; µmolCO2 m-2 s-1 NET ECOSYSTEM EXCHANGE FLUXNET HH (half-hourly)
410 NEE_CUT_REF_JOINTUNC Joint uncertainty estimation for NEE_CUT_REF, including random uncertainty and USTAR filtering uncertainty; [SQRT(NEE_CUT_REF_RANDUNC^2 + ((NEE_CUT_84 - NEE_CUT_16) / 2)^2)] for each half-hour µmolCO2 m-2 s-1 NET ECOSYSTEM EXCHANGE FLUXNET HH (half-hourly)
411 NEE_CUT_REF_QC Quality flag for NEE_CUT_REF; 0 = measured; 1 = good quality gapfill; 2 = medium; 3 = poor nondimensional NET ECOSYSTEM EXCHANGE FLUXNET HH (half-hourly)
412 NEE_CUT_REF_RANDUNC Random uncertainty for NEE_CUT_REF, from measured only data; uses only data points where NEE_CUT_REF_QC is 0 and two hierarchical methods - see header and NEE_CUT_REF_RANDUNC_METHOD µmolCO2 m-2 s-1 NET ECOSYSTEM EXCHANGE FLUXNET HH (half-hourly)
413 NEE_CUT_REF_RANDUNC_METHOD Method used to estimate the random uncertainty of NEE_CUT_REF; 1 = RANDUNC Method 1 (direct SD method), 2 = RANDUNC Method 2 (median SD method) nondimensional NET ECOSYSTEM EXCHANGE FLUXNET HH (half-hourly)
414 NEE_CUT_REF_RANDUNC_N Number of data points used to estimate the random uncertainty of NEE_CUT_REF; nondimensional NET ECOSYSTEM EXCHANGE FLUXNET HH (half-hourly)
415 NEE_CUT_SE Standard Error for NEE_CUT, calculated as SD(NEE_CUT_XX) / SQRT(40); SE from 40 half-hourly NEE_CUT_XX µmolCO2 m-2 s-1 NET ECOSYSTEM EXCHANGE FLUXNET HH (half-hourly)
416 NEE_CUT_USTAR50 Net Ecosystem Exchange, using Constant Ustar Threshold (CUT) across years, from 50 percentile of USTAR threshold; µmolCO2 m-2 s-1 NET ECOSYSTEM EXCHANGE FLUXNET HH (half-hourly)
417 NEE_CUT_USTAR50_JOINTUNC Joint uncertainty estimation for NEE_CUT_USTAR50, including random uncertainty and USTAR filtering uncertainty; [SQRT(NEE_CUT_USTAR50_RANDUNC^2 + ((NEE_CUT_84 - NEE_CUT_16) / 2)^2)] for each half-hour µmolCO2 m-2 s-1 NET ECOSYSTEM EXCHANGE FLUXNET HH (half-hourly)
418 NEE_CUT_USTAR50_QC Quality flag for NEE_CUT_USTAR50; 0 = measured; 1 = good quality gapfill; 2 = medium; 3 = poor nondimensional NET ECOSYSTEM EXCHANGE FLUXNET HH (half-hourly)
419 NEE_CUT_USTAR50_RANDUNC Random uncertainty for NEE_CUT_USTAR50, from measured only data; uses only data points where NEE_CUT_USTAR50_QC is 0 and two hierarchical methods - see header and NEE_CUT_USTAR50_RANDUNC_METHOD µmolCO2 m-2 s-1 NET ECOSYSTEM EXCHANGE FLUXNET HH (half-hourly)
420 NEE_CUT_USTAR50_RANDUNC_METHOD Method used to estimate the random uncertainty of NEE_CUT_USTAR50; 1 = RANDUNC Method 1 (direct SD method), 2 = RANDUNC Method 2 (median SD method) nondimensional NET ECOSYSTEM EXCHANGE FLUXNET HH (half-hourly)
421 NEE_CUT_USTAR50_RANDUNC_N Number of half-hour data points used to estimate the random uncertainty of NEE_CUT_USTAR50; nondimensional NET ECOSYSTEM EXCHANGE FLUXNET HH (half-hourly)
422 NEE_CUT_XX NEE CUT percentiles (approx. percentile indicated by XX, see doc.) calculated from the 40 estimates aggregated at the different time resolutions -- XX = 05, 16, 25, 50, 75, 84, 95; XXth percentile from 40 half-hourly NEE_CUT_XX µmolCO2 m-2 s-1 NET ECOSYSTEM EXCHANGE FLUXNET HH (half-hourly)
423 NEE_CUT_XX_QC Quality flag for NEE_CUT_XX -- XX = 05, 16, 25, 50, 75, 84, 95; 0 = measured; 1 = good quality gapfill; 2 = medium; 3 = poor nondimensional NET ECOSYSTEM EXCHANGE FLUXNET HH (half-hourly)
424 NEE_VUT_MEAN Net Ecosystem Exchange, using Variable Ustar Threshold (VUT) for each year, average from 40 NEE_VUT_XX versions; average from 40 half-hourly NEE_CUT_XX µmolCO2 m-2 s-1 NET ECOSYSTEM EXCHANGE FLUXNET HH (half-hourly)
425 NEE_VUT_MEAN_QC Quality flag for NEE_VUT_MEAN, fraction between 0-1 indicating percentage of good quality data; average of percentages of good data (NEE_VUT_XX_QC is 0 or 1) from 40 NEE_VUT_XX_QC nondimensional NET ECOSYSTEM EXCHANGE FLUXNET HH (half-hourly)
426 NEE_VUT_REF Net Ecosystem Exchange, using Variable Ustar Threshold (VUT) for each year, reference selected on the basis of the model efficiency (MEF). The MEF analysis is repeated for each time aggregation; µmolCO2 m-2 s-1 NET ECOSYSTEM EXCHANGE FLUXNET HH (half-hourly)
427 NEE_VUT_REF_JOINTUNC Joint uncertainty estimation for NEE_VUT_REF, including random uncertainty and USTAR filtering uncertainty; [SQRT(NEE_VUT_REF_RANDUNC^2 + ((NEE_VUT_84 - NEE_VUT_16) / 2)^2)] for each half-hour µmolCO2 m-2 s-1 NET ECOSYSTEM EXCHANGE FLUXNET HH (half-hourly)
428 NEE_VUT_REF_QC Quality flag for NEE_VUT_REF; 0 = measured; 1 = good quality gapfill; 2 = medium; 3 = poor nondimensional NET ECOSYSTEM EXCHANGE FLUXNET HH (half-hourly)
429 NEE_VUT_REF_RANDUNC Random uncertainty for NEE_VUT_REF, from measured only data; uses only data points where NEE_VUT_REF_QC is 0 and two hierarchical methods - see header and NEE_VUT_REF_RANDUNC_METHOD µmolCO2 m-2 s-1 NET ECOSYSTEM EXCHANGE FLUXNET HH (half-hourly)
430 NEE_VUT_REF_RANDUNC_METHOD Method used to estimate the random uncertainty of NEE_VUT_REF; 1 = RANDUNC Method 1 (direct SD method), 2 = RANDUNC Method 2 (median SD method) nondimensional NET ECOSYSTEM EXCHANGE FLUXNET HH (half-hourly)
431 NEE_VUT_REF_RANDUNC_N Number of data points used to estimate the random uncertainty of NEE_VUT_REF; nondimensional NET ECOSYSTEM EXCHANGE FLUXNET HH (half-hourly)
432 NEE_VUT_SE Standard Error for NEE_VUT, calculated as SD(NEE_VUT_XX) / SQRT(40); SE from 40 half-hourly NEE_CUT_XX µmolCO2 m-2 s-1 NET ECOSYSTEM EXCHANGE FLUXNET HH (half-hourly)
433 NEE_VUT_USTAR50 Net Ecosystem Exchange, using Variable Ustar Threshold (VUT) for each year, from 50 percentile of USTAR threshold; µmolCO2 m-2 s-1 NET ECOSYSTEM EXCHANGE FLUXNET HH (half-hourly)
434 NEE_VUT_USTAR50_JOINTUNC Joint uncertainty estimation for NEE_VUT_USTAR50, including random uncertainty and USTAR filtering uncertainty; [SQRT(NEE_VUT_USTAR50_RANDUNC^2 + ((NEE_VUT_84 - NEE_VUT_16) / 2)^2)] for each half-hour µmolCO2 m-2 s-1 NET ECOSYSTEM EXCHANGE FLUXNET HH (half-hourly)
435 NEE_VUT_USTAR50_QC Quality flag for NEE_VUT_USTAR50; 0 = measured; 1 = good quality gapfill; 2 = medium; 3 = poor nondimensional NET ECOSYSTEM EXCHANGE FLUXNET HH (half-hourly)
436 NEE_VUT_USTAR50_RANDUNC Random uncertainty for NEE_VUT_USTAR50, from measured only data; uses only data points where NEE_VUT_USTAR50_QC is 0 and two hierarchical methods see header and NEE_VUT_USTAR50_RANDUNC_METHOD µmolCO2 m-2 s-1 NET ECOSYSTEM EXCHANGE FLUXNET HH (half-hourly)
437 NEE_VUT_USTAR50_RANDUNC_METHOD Method used to estimate the random uncertainty of NEE_VUT_USTAR50; 1 = RANDUNC Method 1 (direct SD method), 2 = RANDUNC Method 2 (median SD method) nondimensional NET ECOSYSTEM EXCHANGE FLUXNET HH (half-hourly)
438 NEE_VUT_USTAR50_RANDUNC_N Number of half-hour data points used to estimate the random uncertainty of NEE_VUT_USTAR50; nondimensional NET ECOSYSTEM EXCHANGE FLUXNET HH (half-hourly)
439 NEE_VUT_XX NEE VUT percentiles (approx. percentile indicated by XX, see doc.) calculated from the 40 estimates aggregated at the different time resolutions -- XX = 05, 16, 25, 50, 75, 84, 95; XXth percentile from 40 half-hourly NEE_VUT_XX µmolCO2 m-2 s-1 NET ECOSYSTEM EXCHANGE FLUXNET HH (half-hourly)
440 NEE_VUT_XX_QC Quality flag for NEE_VUT_XX -- XX = 05, 16, 25, 50, 75, 84, 95; 0 = measured; 1 = good quality gapfill; 2 = medium; 3 = poor nondimensional NET ECOSYSTEM EXCHANGE FLUXNET HH (half-hourly)
441 NETRAD Net radiation; W m-2 MICROMETEOROLOGICAL FLUXNET HH (half-hourly)
442 NIGHT Flag indicating nighttime interval based on SW_IN_POT; 0 = daytime, 1 = nighttime nondimensional NET ECOSYSTEM EXCHANGE FLUXNET HH (half-hourly)
443 P Precipitation; mm MICROMETEOROLOGICAL FLUXNET HH (half-hourly)
444 PA Atmospheric pressure; kPa MICROMETEOROLOGICAL FLUXNET HH (half-hourly)
445 PA_ERA Atmospheric pressure, downscaled from ERA, linearly regressed using measured only site data; kPa MICROMETEOROLOGICAL FLUXNET HH (half-hourly)
446 PA_F Atmospheric pressure consolidated from PA and PA_ERA; PA used if measured kPa MICROMETEOROLOGICAL FLUXNET HH (half-hourly)
447 PA_F_QC Quality flag for PA_F; 0 = measured; 2 = downscaled from ERA nondimensional MICROMETEOROLOGICAL FLUXNET HH (half-hourly)
448 PPFD_DIF Photosynthetic photon flux density, diffuse incoming; µmolPhoton m-2 s-1 MICROMETEOROLOGICAL FLUXNET HH (half-hourly)
449 PPFD_IN Photosynthetic photon flux density, incoming; µmolPhoton m-2 s-1 MICROMETEOROLOGICAL FLUXNET HH (half-hourly)
450 PPFD_OUT Photosynthetic photon flux density, outgoing; µmolPhoton m-2 s-1 MICROMETEOROLOGICAL FLUXNET HH (half-hourly)
451 P_ERA Precipitation, downscaled from ERA, linearly regressed using measured only site data; (mm per dataset resolution: either hour or half-hour) mm MICROMETEOROLOGICAL FLUXNET HH (half-hourly)
452 P_F Precipitation consolidated from P and P_ERA; P used if measured (mm per dataset resolution: either hour or half-hour) mm MICROMETEOROLOGICAL FLUXNET HH (half-hourly)
453 P_F_QC Quality flag for P_F; 0 = measured; 2 = downscaled from ERA nondimensional MICROMETEOROLOGICAL FLUXNET HH (half-hourly)
454 RECO_DT_CUT_MEAN Ecosystem Respiration, from Daytime partitioning method, average from RECO versions, each from corresponding NEE_CUT_XX version; average from 40 half-hourly RECO_DT_CUT_XX µmolCO2 m-2 s-1 DAYTIME PARTITIONING FLUXNET HH (half-hourly)
455 RECO_DT_CUT_REF Ecosystem Respiration, from Daytime partitioning method, reference selected from RECO versions using model efficiency (MEF). The MEF analysis is repeated for each time aggregation; µmolCO2 m-2 s-1 DAYTIME PARTITIONING FLUXNET HH (half-hourly)
456 RECO_DT_CUT_SE Standard Error for Ecosystem Respiration, calculated as (SD(RECO_DT_CUT_XX) / SQRT(40)); SE from 40 half-hourly RECO_DT_CUT_XX µmolCO2 m-2 s-1 DAYTIME PARTITIONING FLUXNET HH (half-hourly)
457 RECO_DT_CUT_USTAR50 Ecosystem Respiration, from Daytime partitioning method, based on NEE_CUT_USTAR50; µmolCO2 m-2 s-1 DAYTIME PARTITIONING FLUXNET HH (half-hourly)
458 RECO_DT_CUT_XX Ecosystem Respiration, from Daytime partitioning method (with XX = 05, 16, 25, 50, 75, 84, 95); µmolCO2 m-2 s-1 DAYTIME PARTITIONING FLUXNET HH (half-hourly)
459 RECO_DT_VUT_MEAN Ecosystem Respiration, from Daytime partitioning method, average from RECO versions, each from corresponding NEE_VUT_XX version; average from 40 half-hourly RECO_DT_VUT_XX µmolCO2 m-2 s-1 DAYTIME PARTITIONING FLUXNET HH (half-hourly)
460 RECO_DT_VUT_REF Ecosystem Respiration, from Daytime partitioning method, reference selected from RECO versions using model efficiency (MEF). The MEF analysis is repeated for each time aggregation; µmolCO2 m-2 s-1 DAYTIME PARTITIONING FLUXNET HH (half-hourly)
461 RECO_DT_VUT_SE Standard Error for Ecosystem Respiration, calculated as (SD(RECO_DT_VUT_XX) / SQRT(40)); SE from 40 half-hourly RECO_DT_VUT_XX µmolCO2 m-2 s-1 DAYTIME PARTITIONING FLUXNET HH (half-hourly)
462 RECO_DT_VUT_USTAR50 Ecosystem Respiration, from Daytime partitioning method, based on NEE_VUT_USTAR50; µmolCO2 m-2 s-1 DAYTIME PARTITIONING FLUXNET HH (half-hourly)
463 RECO_DT_VUT_XX Ecosystem Respiration, from Daytime partitioning method (with XX = 05, 16, 25, 50, 75, 84, 95); µmolCO2 m-2 s-1 DAYTIME PARTITIONING FLUXNET HH (half-hourly)
464 RECO_NT_CUT_MEAN Ecosystem Respiration, from Nighttime partitioning method, average from RECO versions, each from corresponding NEE_CUT_XX version; average from 40 half-hourly RECO_NT_CUT_XX µmolCO2 m-2 s-1 NIGHTTIME PARTITIONING FLUXNET HH (half-hourly)
465 RECO_NT_CUT_REF Ecosystem Respiration, from Nighttime partitioning method, reference selected from RECO versions using model efficiency (MEF). The MEF analysis is repeated for each time aggregation; µmolCO2 m-2 s-1 NIGHTTIME PARTITIONING FLUXNET HH (half-hourly)
466 RECO_NT_CUT_SE Standard Error for Ecosystem Respiration, calculated as (SD(RECO_NT_CUT_XX) / SQRT(40)); SE from 40 half-hourly RECO_NT_CUT_XX µmolCO2 m-2 s-1 NIGHTTIME PARTITIONING FLUXNET HH (half-hourly)
467 RECO_NT_CUT_USTAR50 Ecosystem Respiration, from Nighttime partitioning method, based on NEE_CUT_USTAR50; µmolCO2 m-2 s-1 NIGHTTIME PARTITIONING FLUXNET HH (half-hourly)
468 RECO_NT_CUT_XX Ecosystem Respiration, from Nighttime partitioning method (with XX = 05, 16, 25, 50, 75, 84, 95); µmolCO2 m-2 s-1 NIGHTTIME PARTITIONING FLUXNET HH (half-hourly)
469 RECO_NT_VUT_MEAN Ecosystem Respiration, from Nighttime partitioning method, average from RECO versions, each from corresponding NEE_VUT_XX version; average from 40 half-hourly RECO_NT_VUT_XX µmolCO2 m-2 s-1 NIGHTTIME PARTITIONING FLUXNET HH (half-hourly)
470 RECO_NT_VUT_REF Ecosystem Respiration, from Nighttime partitioning method, reference selected from RECO versions using model efficiency (MEF). The MEF analysis is repeated for each time aggregation; µmolCO2 m-2 s-1 NIGHTTIME PARTITIONING FLUXNET HH (half-hourly)
471 RECO_NT_VUT_SE Standard Error for Ecosystem Respiration, calculated as (SD(RECO_NT_VUT_XX) / SQRT(40)); SE from 40 half-hourly RECO_NT_CUT_XX µmolCO2 m-2 s-1 NIGHTTIME PARTITIONING FLUXNET HH (half-hourly)
472 RECO_NT_VUT_USTAR50 Ecosystem Respiration, from Nighttime partitioning method, based on NEE_VUT_USTAR50; µmolCO2 m-2 s-1 NIGHTTIME PARTITIONING FLUXNET HH (half-hourly)
473 RECO_NT_VUT_XX Ecosystem Respiration, from Nighttime partitioning method (with XX = 05, 16, 25, 50, 75, 84, 95); µmolCO2 m-2 s-1 NIGHTTIME PARTITIONING FLUXNET HH (half-hourly)
474 RECO_SR Ecosystem Respiration, from Sundown Respiration partitioning method; µmolCO2 m-2 s-1 SUNDOWN FLUXNET HH (half-hourly)
475 RH Relative humidity, range 0-100; % MICROMETEOROLOGICAL FLUXNET HH (half-hourly)
476 SWC_F_MDS_# Soil water content, gapfilled with MDS (numeric index "#" increases with the depth, 1 is shallowest); % MICROMETEOROLOGICAL FLUXNET HH (half-hourly)
477 SWC_F_MDS_#_QC Quality flag for SWC_F_MDS_#; 0 = measured; 1 = good quality gapfill; 2 = medium; 3 = poor nondimensional MICROMETEOROLOGICAL FLUXNET HH (half-hourly)
478 SW_DIF Shortwave radiation, diffuse incoming; W m-2 MICROMETEOROLOGICAL FLUXNET HH (half-hourly)
479 SW_IN_ERA Shortwave radiation, incoming, downscaled from ERA, linearly regressed using measured only site data (negative values set to zero); W m-2 MICROMETEOROLOGICAL FLUXNET HH (half-hourly)
480 SW_IN_F Shortwave radiation, incoming consolidated from SW_IN_F_MDS and SW_IN_ERA (negative values set to zero); SW_IN_F_MDS used if SW_IN_F_MDS_QC is 0 or 1 W m-2 MICROMETEOROLOGICAL FLUXNET HH (half-hourly)
481 SW_IN_F_MDS Shortwave radiation, incoming, gapfilled using MDS (negative values set to zero, e.g., negative values from instrumentation noise); W m-2 MICROMETEOROLOGICAL FLUXNET HH (half-hourly)
482 SW_IN_F_MDS_QC Quality flag for SW_IN_F_MDS; 0 = measured; 1 = good quality gapfill; 2 = medium; 3 = poor nondimensional MICROMETEOROLOGICAL FLUXNET HH (half-hourly)
483 SW_IN_F_QC Quality flag for SW_IN_F; 0 = measured; 1 = good quality gapfill; 2 = downscaled from ERA nondimensional MICROMETEOROLOGICAL FLUXNET HH (half-hourly)
484 SW_IN_POT Shortwave radiation, incoming, potential (top of atmosphere); W m-2 MICROMETEOROLOGICAL FLUXNET HH (half-hourly)
485 SW_OUT Shortwave radiation, outgoing; W m-2 MICROMETEOROLOGICAL FLUXNET HH (half-hourly)
486 TA_ERA Air temperature, downscaled from ERA, linearly regressed using measured only site data deg C MICROMETEOROLOGICAL FLUXNET HH (half-hourly)
487 TA_F Air temperature, consolidated from TA_F_MDS and TA_ERA; TA_F_MDS used if TA_F_MDS_QC is 0 or 1 deg C MICROMETEOROLOGICAL FLUXNET HH (half-hourly)
488 TA_F_MDS Air temperature, gapfilled using MDS method deg C MICROMETEOROLOGICAL FLUXNET HH (half-hourly)
489 TA_F_MDS_QC Quality flag for TA_F_MDS; 0 = measured; 1 = good quality gapfill; 2 = medium; 3 = poor nondimensional MICROMETEOROLOGICAL FLUXNET HH (half-hourly)
490 TA_F_QC Quality flag for TA_F; 0 = measured; 1 = good quality gapfill; 2 = downscaled from ERA nondimensional MICROMETEOROLOGICAL FLUXNET HH (half-hourly)
491 TIMESTAMP ISO timestamp - short format YYYYMMDDHHMM TIMEKEEPING FLUXNET HH (half-hourly)
492 TIMESTAMP_END ISO timestamp end of averaging period - short format YYYYMMDDHHMM TIMEKEEPING FLUXNET HH (half-hourly)
493 TIMESTAMP_START ISO timestamp start of averaging period - short format YYYYMMDDHHMM TIMEKEEPING FLUXNET HH (half-hourly)
494 TS_F_MDS_# Soil temperature, gapfilled with MDS (numeric index "#" increases with the depth, 1 is shallowest); deg C MICROMETEOROLOGICAL FLUXNET HH (half-hourly)
495 TS_F_MDS_#_QC Quality flag for TS_F_MDS_#; 0 = measured; 1 = good quality gapfill; 2 = medium; 3 = poor nondimensional MICROMETEOROLOGICAL FLUXNET HH (half-hourly)
496 USTAR Friction velocity; m s-1 MICROMETEOROLOGICAL FLUXNET HH (half-hourly)
497 VPD_ERA Vapor Pressure Deficit, downscaled from ERA, linearly regressed using measured only site data; hPa MICROMETEOROLOGICAL FLUXNET HH (half-hourly)
498 VPD_F Vapor Pressure Deficit consolidated from VPD_F_MDS and VPD_ERA; VPD_F_MDS used if VPD_F_MDS_QC is 0 or 1 hPa MICROMETEOROLOGICAL FLUXNET HH (half-hourly)
499 VPD_F_MDS Vapor Pressure Deficit, gapfilled using MDS; hPa MICROMETEOROLOGICAL FLUXNET HH (half-hourly)
500 VPD_F_MDS_QC Quality flag for VPD_F_MDS; 0 = measured; 1 = good quality gapfill; 2 = medium; 3 = poor nondimensional MICROMETEOROLOGICAL FLUXNET HH (half-hourly)
501 VPD_F_QC Quality flag for VPD_F; 0 = measured; 1 = good quality gapfill; 2 = downscaled from ERA nondimensional MICROMETEOROLOGICAL FLUXNET HH (half-hourly)
502 WD Wind direction; Decimal degrees MICROMETEOROLOGICAL FLUXNET HH (half-hourly)
503 WS Wind speed; m s-1 MICROMETEOROLOGICAL FLUXNET HH (half-hourly)
504 WS_ERA Wind speed, downscaled from ERA, linearly regressed using measured only site data; m s-1 MICROMETEOROLOGICAL FLUXNET HH (half-hourly)
505 WS_F Wind speed, consolidated from WS and WS_ERA; WS used if measured m s-1 MICROMETEOROLOGICAL FLUXNET HH (half-hourly)
506 WS_F_QC Quality flag of WS_F; 0 = measured; 2 = downscaled from ERA nondimensional MICROMETEOROLOGICAL FLUXNET HH (half-hourly)
Label Description Units (preferred) or format Category Used In

† Concentrations and fluxes for water vapor are provided as [mmol mol-1] and [mmol m-2 s-1] respectively.

‡ Units depend on the nature of the variable.

 

References

 

Last Updated on 4 Nov 2023 00:24