Creator |
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Creator:
Zhao Jiang
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Creator's Email:
zhao127@illinois.edu
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Other Researchers with Dataset Knowledge (with email):
Kaiyu Guan (kaiyug@illinois.edu)
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Dataset Time Span:
2020 - 2022
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File Format:
Comma-separated values (.csv)
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Variables:
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TIMESTAMP - ISO timestamp - short format
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TA_F_MDS - Air temperature, gapfilled using MDS method
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TA_F_MDS_QC - Quality flag for TA_F_MDS
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TA_F_MDS_NIGHT - Average nighttime TA_F_MDS
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TA_F_MDS_NIGHT_SD - Standard deviation for TA_F_MDS_NIGHT
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TA_F_MDS_NIGHT_QC - Quality flag for TA_F_MDS_NIGHT
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TA_F_MDS_DAY - Average daytime TA_F_MDS
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TA_F_MDS_DAY_SD - Standard deviation for TA_F_MDS_DAY
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TA_F_MDS_DAY_QC - Quality flag for TA_F_MDS_DAY
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TA_ERA - Air temperature, downscaled from ERA, linearly regressed using measured only site data
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TA_ERA_NIGHT - Average nighttime TA_ERA
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TA_ERA_NIGHT_SD - Standard deviation for TA_ERA_NIGHT
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TA_ERA_DAY - Average daytime TA_ERA
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TA_ERA_DAY_SD - Standard deviation for TA_ERA_DAY
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TA_F - Air temperature, consolidated from TA_F_MDS and TA_ERA
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TA_F_QC - Quality flag for TA_F
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TA_F_NIGHT - Average nighttime TA_F
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TA_F_NIGHT_SD - Standard deviation for TA_F_NIGHT
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TA_F_NIGHT_QC - Quality flag for TA_F_NIGHT
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TA_F_DAY - Average daytime TA_F
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TA_F_DAY_SD - Standard deviation for TA_F_DAY
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TA_F_DAY_QC - Quality flag for TA_F_DAY
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SW_IN_F_MDS - Shortwave radiation, incoming, gapfilled using MDS (negative values set to zero, e.g., negative values from instrumentation noise)
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SW_IN_F_MDS_QC - Quality flag for SW_IN_F_MDS
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SW_IN_ERA - Shortwave radiation, incoming, downscaled from ERA, linearly regressed using measured only site data (negative values set to zero)
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SW_IN_F - Shortwave radiation, incoming consolidated from SW_IN_F_MDS and SW_IN_ERA (negative values set to zero)
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SW_IN_F_QC - Quality flag for SW_IN_F
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LW_IN_F_MDS - Longwave radiation, incoming, gapfilled using MDS
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LW_IN_F_MDS_QC - Quality flag for LW_IN_F_MDS
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LW_IN_ERA - Longwave radiation, incoming, downscaled from ERA, linearly regressed using measured only site data
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LW_IN_F - Longwave radiation, incoming, consolidated from LW_IN_F_MDS and LW_IN_ERA
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LW_IN_F_QC - Quality flag for LW_IN_F
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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)
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LW_IN_JSB_QC - Quality flag for LW_IN_JSB
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LW_IN_JSB_ERA - Longwave radiation, incoming, downscaled from ERA, linearly regressed using site level LW_IN_JSB calculated from measured only drivers
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LW_IN_JSB_F - Longwave radiation, incoming, consolidated from LW_IN_JSB and LW_IN_JSB_ERA
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LW_IN_JSB_F_QC - Quality flag for LW_IN_JSB_F
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VPD_F_MDS - Vapor Pressure Deficit, gapfilled using MDS
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VPD_F_MDS_QC - Quality flag for VPD_F_MDS
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VPD_ERA - Vapor Pressure Deficit, downscaled from ERA, linearly regressed using measured only site data
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VPD_F - Vapor Pressure Deficit consolidated from VPD_F_MDS and VPD_ERA
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VPD_F_QC - Quality flag for VPD_F
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PA_ERA - Atmospheric pressure, downscaled from ERA, linearly regressed using measured only site data
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PA_F - Atmospheric pressure consolidated from PA and PA_ERA
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PA_F_QC - Quality flag for PA_F
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P_ERA - Precipitation, downscaled from ERA, linearly regressed using measured only site data
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P_F - Precipitation consolidated from P and P_ERA
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P_F_QC - Quality flag for P_F
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WS_ERA - Wind speed, downscaled from ERA, linearly regressed using measured only site data
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WS_F - Wind speed, consolidated from WS and WS_ERA
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WS_F_QC - Quality flag of WS_F
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USTAR - Friction velocity
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USTAR_QC - Quality flag of USTAR
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NETRAD - Net radiation
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NETRAD_QC - Quality flag of NETRAD
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CO2_F_MDS - CO2 mole fraction, gapfilled with MDS
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CO2_F_MDS_QC - Quality flag for CO2_F_MDS
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G_F_MDS - Soil heat flux
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G_F_MDS_QC - Quality flag of G_F_MDS
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LE_F_MDS - Latent heat flux, gapfilled using MDS method
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LE_F_MDS_QC - Quality flag for LE_F_MDS, LE_CORR, LE_CORR25, and LE_CORR75.
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LE_CORR - Latent heat flux, corrected LE_F_MDS by energy balance closure correction factor
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LE_RANDUNC - Random uncertainty of LE, from measured only data
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H_F_MDS - Sensible heat flux, gapfilled using MDS method
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H_F_MDS_QC - Quality flag for H_F_MDS, H_CORR, H_CORR25, and H_CORR75.
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H_CORR - Sensible heat flux, corrected H_F_MDS by energy balance closure correction factor
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H_RANDUNC - Random uncertainty of H, from measured only data
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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)
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EBC_CF_METHOD - Method used to calculate the energy balance closure correction factor
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NIGHT_RANDUNC_N - Number of half hours classified as nighttime and used to calculate the aggregated random uncertainty
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DAY_RANDUNC_N - Number of half hours classified as daytime and used to calculate the aggregated random uncertainty
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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
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NEE_VUT_REF_QC - Quality flag for NEE_VUT_REF
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NEE_VUT_REF_RANDUNC - Random uncertainty for NEE_VUT_REF, from measured only data
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NEE_VUT_REF_JOINTUNC - Joint uncertainty estimation for NEE_VUT_REF, including random uncertainty and USTAR filtering uncertainty
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NEE_VUT_USTAR50 - Net Ecosystem Exchange, using Variable Ustar Threshold (VUT) for each year, from 50 percentile of USTAR threshold
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NEE_VUT_USTAR50_QC - Quality flag for NEE_VUT_USTAR50
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NEE_VUT_USTAR50_RANDUNC - Random uncertainty for NEE_VUT_USTAR50, from measured only data
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NEE_VUT_USTAR50_JOINTUNC - Joint uncertainty estimation for NEE_VUT_USTAR50, including random uncertainty and USTAR filtering uncertainty
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NEE_VUT_MEAN - Net Ecosystem Exchange, using Variable Ustar Threshold (VUT) for each year, average from 40 NEE_VUT_XX versions
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NEE_VUT_MEAN_QC - Quality flag for NEE_VUT_MEAN, fraction between 0-1 indicating percentage of good quality data
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NEE_VUT_SE - Standard Error for NEE_VUT, calculated as SD(NEE_VUT_XX) / SQRT(40)
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NEE_VUT_REF_NIGHT - Average nighttime NEE, from NEE_VUT_REF
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NEE_VUT_REF_NIGHT_SD - Standard Deviation of the nighttime NEE, from the NEE_VUT_REF
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NEE_VUT_REF_NIGHT_QC - Quality flag for NEE_VUT_REF_NIGHT
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NEE_VUT_REF_NIGHT_RANDUNC - Random uncertainty of NEE_VUT_REF_NIGHT, from the random uncertainty of the single nighttime half-hours
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NEE_VUT_REF_NIGHT_JOINTUNC - Joint uncertainty estimation for NEE_VUT_REF_NIGHT, including random uncertainty and USTAR filtering uncertainty
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NEE_VUT_REF_DAY - Average daytime NEE, from NEE_VUT_REF
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NEE_VUT_REF_DAY_SD - Standard Deviation of the daytime NEE, from the NEE_VUT_REF
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NEE_VUT_REF_DAY_QC - Quality flag for NEE_VUT_REF_DAY
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NEE_VUT_REF_DAY_RANDUNC - Random uncertainty of NEE_VUT_REF_DAY, from the random uncertainty of the single daytime half-hours
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NEE_VUT_REF_DAY_JOINTUNC - Joint uncertainty estimation for NEE_VUT_REF_DAY, including random uncertainty and USTAR filtering uncertainty
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NEE_VUT_USTAR50_NIGHT - Average nighttime NEE, from NEE_VUT_USTAR50
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NEE_VUT_USTAR50_NIGHT_SD - Standard Deviation of the nighttime NEE, from the NEE_VUT_USTAR50
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NEE_VUT_USTAR50_NIGHT_QC - Quality flag for NEE_VUT_USTAR50_NIGHT
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NEE_VUT_USTAR50_NIGHT_RANDUNC - Random uncertainty of NEE_VUT_USTAR50_NIGHT, from the random uncertainty of the single nighttime half-hours
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NEE_VUT_USTAR50_NIGHT_JOINTUNC - Joint uncertainty estimation for NEE_VUT_USTAR50_NIGHT, including random uncertainty and USTAR filtering uncertainty
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NEE_VUT_USTAR50_DAY - Average daytime NEE, from NEE_VUT_USTAR50
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NEE_VUT_USTAR50_DAY_SD - Standard Deviation of the daytime NEE, from the NEE_VUT_USTAR50
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NEE_VUT_USTAR50_DAY_QC - Quality flag for NEE_VUT_USTAR50_DAY
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NEE_VUT_USTAR50_DAY_RANDUNC - Random uncertainty of NEE_VUT_USTAR50_DAY, from the random uncertainty of the single daytime half-hours
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NEE_VUT_USTAR50_DAY_JOINTUNC - Joint uncertainty estimation for NEE_VUT_USTAR50_DAY, including random uncertainty and USTAR filtering uncertainty
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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
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RECO_NT_VUT_USTAR50 - Ecosystem Respiration, from Nighttime partitioning method, based on NEE_VUT_USTAR50
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RECO_NT_VUT_MEAN - Ecosystem Respiration, from Nighttime partitioning method, average from RECO versions, each from corresponding NEE_VUT_XX version
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RECO_NT_VUT_SE - Standard Error for Ecosystem Respiration, calculated as (SD(RECO_NT_VUT_XX) / SQRT(40))
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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
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GPP_NT_VUT_USTAR50 - Gross Primary Production, from Nighttime partitioning method, based on NEE_VUT_USTAR50
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GPP_NT_VUT_MEAN - Gross Primary Production, from Nighttime partitioning method, average from GPP versions, each from corresponding NEE_VUT_XX version
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GPP_NT_VUT_SE - Standard Error for Gross Primary Production, calculated as (SD(GPP_NT_VUT_XX) / SQRT(40))
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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
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RECO_DT_VUT_USTAR50 - Ecosystem Respiration, from Daytime partitioning method, based on NEE_VUT_USTAR50
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RECO_DT_VUT_MEAN - Ecosystem Respiration, from Daytime partitioning method, average from RECO versions, each from corresponding NEE_VUT_XX version
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RECO_DT_VUT_SE - Standard Error for Ecosystem Respiration, calculated as (SD(RECO_DT_VUT_XX) / SQRT(40))
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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
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GPP_DT_VUT_USTAR50 - Gross Primary Production, from Daytime partitioning method, based on NEE_VUT_USTAR50
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GPP_DT_VUT_MEAN - Gross Primary Production, from Daytime partitioning method, average from GPP versions, each from corresponding NEE_VUT_XX version
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GPP_DT_VUT_SE - Standard Error for Gross Primary Production, calculated as (SD(GPP_DT_VUT_XX) / SQRT(40))
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RECO_SR - Ecosystem Respiration, from Sundown Respiration partitioning method
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RECO_SR_N - Fraction between 0-1, indicating the percentage of data avaiable in the averaging period to parametrize the respiration model
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Temporal Resolution:
half-hourly, daily, weekly, monthly, yearly
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Spatial Resolution:
Field level
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Added by
Vismayak Mohanarajan
on Sep 1, 2023
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