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Flux Data - Pesotum (ONEFlux)

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Flux Data - Pesotum (ONEFlux)

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Metadata

Name Value Last Modified
Creator
  • Creator: Zhao Jiang
  • Creator's Email: zhao127@illinois.edu
  • Other Researchers with Dataset Knowledge (with email): Kaiyu Guan (kaiyug@illinois.edu)
  • Dataset Time Span: 2021 - 2022
  • File Format: Comma-separated values (.csv)
  • Variables:
    • TIMESTAMP - ISO timestamp - short format
    • TA_F_MDS - Air temperature, gapfilled using MDS method
    • TA_F_MDS_QC - Quality flag for TA_F_MDS
    • TA_F_MDS_NIGHT - Average nighttime TA_F_MDS
    • TA_F_MDS_NIGHT_SD - Standard deviation for TA_F_MDS_NIGHT
    • TA_F_MDS_NIGHT_QC - Quality flag for TA_F_MDS_NIGHT
    • TA_F_MDS_DAY - Average daytime TA_F_MDS
    • TA_F_MDS_DAY_SD - Standard deviation for TA_F_MDS_DAY
    • TA_F_MDS_DAY_QC - Quality flag for TA_F_MDS_DAY
    • TA_ERA - Air temperature, downscaled from ERA, linearly regressed using measured only site data
    • TA_ERA_NIGHT - Average nighttime TA_ERA
    • TA_ERA_NIGHT_SD - Standard deviation for TA_ERA_NIGHT
    • TA_ERA_DAY - Average daytime TA_ERA
    • TA_ERA_DAY_SD - Standard deviation for TA_ERA_DAY
    • TA_F - Air temperature, consolidated from TA_F_MDS and TA_ERA
    • TA_F_QC - Quality flag for TA_F
    • TA_F_NIGHT - Average nighttime TA_F
    • TA_F_NIGHT_SD - Standard deviation for TA_F_NIGHT
    • TA_F_NIGHT_QC - Quality flag for TA_F_NIGHT
    • TA_F_DAY - Average daytime TA_F
    • TA_F_DAY_SD - Standard deviation for TA_F_DAY
    • TA_F_DAY_QC - Quality flag for TA_F_DAY
    • SW_IN_F_MDS - Shortwave radiation, incoming, gapfilled using MDS (negative values set to zero, e.g., negative values from instrumentation noise)
    • SW_IN_F_MDS_QC - Quality flag for SW_IN_F_MDS
    • SW_IN_ERA - Shortwave radiation, incoming, downscaled from ERA, linearly regressed using measured only site data (negative values set to zero)
    • SW_IN_F - Shortwave radiation, incoming consolidated from SW_IN_F_MDS and SW_IN_ERA (negative values set to zero)
    • SW_IN_F_QC - Quality flag for SW_IN_F
    • LW_IN_F_MDS - Longwave radiation, incoming, gapfilled using MDS
    • LW_IN_F_MDS_QC - Quality flag for LW_IN_F_MDS
    • LW_IN_ERA - Longwave radiation, incoming, downscaled from ERA, linearly regressed using measured only site data
    • LW_IN_F - Longwave radiation, incoming, consolidated from LW_IN_F_MDS and LW_IN_ERA
    • LW_IN_F_QC - Quality flag for LW_IN_F
    • 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)
    • LW_IN_JSB_QC - Quality flag for LW_IN_JSB
    • LW_IN_JSB_ERA - Longwave radiation, incoming, downscaled from ERA, linearly regressed using site level LW_IN_JSB calculated from measured only drivers
    • LW_IN_JSB_F - Longwave radiation, incoming, consolidated from LW_IN_JSB and LW_IN_JSB_ERA
    • LW_IN_JSB_F_QC - Quality flag for LW_IN_JSB_F
    • VPD_F_MDS - Vapor Pressure Deficit, gapfilled using MDS
    • VPD_F_MDS_QC - Quality flag for VPD_F_MDS
    • VPD_ERA - Vapor Pressure Deficit, downscaled from ERA, linearly regressed using measured only site data
    • VPD_F - Vapor Pressure Deficit consolidated from VPD_F_MDS and VPD_ERA
    • VPD_F_QC - Quality flag for VPD_F
    • PA_ERA - Atmospheric pressure, downscaled from ERA, linearly regressed using measured only site data
    • PA_F - Atmospheric pressure consolidated from PA and PA_ERA
    • PA_F_QC - Quality flag for PA_F
    • P_ERA - Precipitation, downscaled from ERA, linearly regressed using measured only site data
    • P_F - Precipitation consolidated from P and P_ERA
    • P_F_QC - Quality flag for P_F
    • WS_ERA - Wind speed, downscaled from ERA, linearly regressed using measured only site data
    • WS_F - Wind speed, consolidated from WS and WS_ERA
    • WS_F_QC - Quality flag of WS_F
    • USTAR - Friction velocity
    • USTAR_QC - Quality flag of USTAR
    • NETRAD - Net radiation
    • NETRAD_QC - Quality flag of NETRAD
    • CO2_F_MDS - CO2 mole fraction, gapfilled with MDS
    • CO2_F_MDS_QC - Quality flag for CO2_F_MDS
    • G_F_MDS - Soil heat flux
    • G_F_MDS_QC - Quality flag of G_F_MDS
    • LE_F_MDS - Latent heat flux, gapfilled using MDS method
    • LE_F_MDS_QC - Quality flag for LE_F_MDS, LE_CORR, LE_CORR25, and LE_CORR75.
    • LE_CORR - Latent heat flux, corrected LE_F_MDS by energy balance closure correction factor
    • LE_RANDUNC - Random uncertainty of LE, from measured only data
    • H_F_MDS - Sensible heat flux, gapfilled using MDS method
    • H_F_MDS_QC - Quality flag for H_F_MDS, H_CORR, H_CORR25, and H_CORR75.
    • H_CORR - Sensible heat flux, corrected H_F_MDS by energy balance closure correction factor
    • H_RANDUNC - Random uncertainty of H, from measured only data
    • 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)
    • EBC_CF_METHOD - Method used to calculate the energy balance closure correction factor
    • NIGHT_RANDUNC_N - Number of half hours classified as nighttime and used to calculate the aggregated random uncertainty
    • DAY_RANDUNC_N - Number of half hours classified as daytime and used to calculate the aggregated random uncertainty
    • 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
    • NEE_VUT_REF_QC - Quality flag for NEE_VUT_REF
    • NEE_VUT_REF_RANDUNC - Random uncertainty for NEE_VUT_REF, from measured only data
    • NEE_VUT_REF_JOINTUNC - Joint uncertainty estimation for NEE_VUT_REF, including random uncertainty and USTAR filtering uncertainty
    • NEE_VUT_USTAR50 - Net Ecosystem Exchange, using Variable Ustar Threshold (VUT) for each year, from 50 percentile of USTAR threshold
    • NEE_VUT_USTAR50_QC - Quality flag for NEE_VUT_USTAR50
    • NEE_VUT_USTAR50_RANDUNC - Random uncertainty for NEE_VUT_USTAR50, from measured only data
    • NEE_VUT_USTAR50_JOINTUNC - Joint uncertainty estimation for NEE_VUT_USTAR50, including random uncertainty and USTAR filtering uncertainty
    • NEE_VUT_MEAN - Net Ecosystem Exchange, using Variable Ustar Threshold (VUT) for each year, average from 40 NEE_VUT_XX versions
    • NEE_VUT_MEAN_QC - Quality flag for NEE_VUT_MEAN, fraction between 0-1 indicating percentage of good quality data
    • NEE_VUT_SE - Standard Error for NEE_VUT, calculated as SD(NEE_VUT_XX) / SQRT(40)
    • NEE_VUT_REF_NIGHT - Average nighttime NEE, from NEE_VUT_REF
    • NEE_VUT_REF_NIGHT_SD - Standard Deviation of the nighttime NEE, from the NEE_VUT_REF
    • NEE_VUT_REF_NIGHT_QC - Quality flag for NEE_VUT_REF_NIGHT
    • NEE_VUT_REF_NIGHT_RANDUNC - Random uncertainty of NEE_VUT_REF_NIGHT, from the random uncertainty of the single nighttime half-hours
    • NEE_VUT_REF_NIGHT_JOINTUNC - Joint uncertainty estimation for NEE_VUT_REF_NIGHT, including random uncertainty and USTAR filtering uncertainty
    • NEE_VUT_REF_DAY - Average daytime NEE, from NEE_VUT_REF
    • NEE_VUT_REF_DAY_SD - Standard Deviation of the daytime NEE, from the NEE_VUT_REF
    • NEE_VUT_REF_DAY_QC - Quality flag for NEE_VUT_REF_DAY
    • NEE_VUT_REF_DAY_RANDUNC - Random uncertainty of NEE_VUT_REF_DAY, from the random uncertainty of the single daytime half-hours
    • NEE_VUT_REF_DAY_JOINTUNC - Joint uncertainty estimation for NEE_VUT_REF_DAY, including random uncertainty and USTAR filtering uncertainty
    • NEE_VUT_USTAR50_NIGHT - Average nighttime NEE, from NEE_VUT_USTAR50
    • NEE_VUT_USTAR50_NIGHT_SD - Standard Deviation of the nighttime NEE, from the NEE_VUT_USTAR50
    • NEE_VUT_USTAR50_NIGHT_QC - Quality flag for NEE_VUT_USTAR50_NIGHT
    • NEE_VUT_USTAR50_NIGHT_RANDUNC - Random uncertainty of NEE_VUT_USTAR50_NIGHT, from the random uncertainty of the single nighttime half-hours
    • NEE_VUT_USTAR50_NIGHT_JOINTUNC - Joint uncertainty estimation for NEE_VUT_USTAR50_NIGHT, including random uncertainty and USTAR filtering uncertainty
    • NEE_VUT_USTAR50_DAY - Average daytime NEE, from NEE_VUT_USTAR50
    • NEE_VUT_USTAR50_DAY_SD - Standard Deviation of the daytime NEE, from the NEE_VUT_USTAR50
    • NEE_VUT_USTAR50_DAY_QC - Quality flag for NEE_VUT_USTAR50_DAY
    • NEE_VUT_USTAR50_DAY_RANDUNC - Random uncertainty of NEE_VUT_USTAR50_DAY, from the random uncertainty of the single daytime half-hours
    • NEE_VUT_USTAR50_DAY_JOINTUNC - Joint uncertainty estimation for NEE_VUT_USTAR50_DAY, including random uncertainty and USTAR filtering uncertainty
    • 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
    • RECO_NT_VUT_USTAR50 - Ecosystem Respiration, from Nighttime partitioning method, based on NEE_VUT_USTAR50
    • RECO_NT_VUT_MEAN - Ecosystem Respiration, from Nighttime partitioning method, average from RECO versions, each from corresponding NEE_VUT_XX version
    • RECO_NT_VUT_SE - Standard Error for Ecosystem Respiration, calculated as (SD(RECO_NT_VUT_XX) / SQRT(40))
    • 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
    • GPP_NT_VUT_USTAR50 - Gross Primary Production, from Nighttime partitioning method, based on NEE_VUT_USTAR50
    • GPP_NT_VUT_MEAN - Gross Primary Production, from Nighttime partitioning method, average from GPP versions, each from corresponding NEE_VUT_XX version
    • GPP_NT_VUT_SE - Standard Error for Gross Primary Production, calculated as (SD(GPP_NT_VUT_XX) / SQRT(40))
    • 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
    • RECO_DT_VUT_USTAR50 - Ecosystem Respiration, from Daytime partitioning method, based on NEE_VUT_USTAR50
    • RECO_DT_VUT_MEAN - Ecosystem Respiration, from Daytime partitioning method, average from RECO versions, each from corresponding NEE_VUT_XX version
    • RECO_DT_VUT_SE - Standard Error for Ecosystem Respiration, calculated as (SD(RECO_DT_VUT_XX) / SQRT(40))
    • 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
    • GPP_DT_VUT_USTAR50 - Gross Primary Production, from Daytime partitioning method, based on NEE_VUT_USTAR50
    • GPP_DT_VUT_MEAN - Gross Primary Production, from Daytime partitioning method, average from GPP versions, each from corresponding NEE_VUT_XX version
    • GPP_DT_VUT_SE - Standard Error for Gross Primary Production, calculated as (SD(GPP_DT_VUT_XX) / SQRT(40))
    • RECO_SR - Ecosystem Respiration, from Sundown Respiration partitioning method
    • RECO_SR_N - Fraction between 0-1, indicating the percentage of data avaiable in the averaging period to parametrize the respiration model
  • Temporal Resolution: half-hourly, daily, weekly, monthly, yearly
  • Spatial Resolution: Field level
Added by Vismayak Mohanarajan on Sep 1, 2023
  • Creator: Zhao Jiang
  • Creator's Email: zhao127@illinois.edu
  • Other Researchers with Dataset Knowledge (with email): Kaiyu Guan (kaiyug@illinois.edu)
  • Dataset Time Span: 2021 - 2022
  • File Format: Comma-separated values (.csv)
  • Variables:
    • TIMESTAMP - ISO timestamp - short format
    • TA_F_MDS - Air temperature, gapfilled using MDS method
    • TA_F_MDS_QC - Quality flag for TA_F_MDS
    • TA_F_MDS_NIGHT - Average nighttime TA_F_MDS
    • TA_F_MDS_NIGHT_SD - Standard deviation for TA_F_MDS_NIGHT
    • TA_F_MDS_NIGHT_QC - Quality flag for TA_F_MDS_NIGHT
    • TA_F_MDS_DAY - Average daytime TA_F_MDS
    • TA_F_MDS_DAY_SD - Standard deviation for TA_F_MDS_DAY
    • TA_F_MDS_DAY_QC - Quality flag for TA_F_MDS_DAY
    • TA_ERA - Air temperature, downscaled from ERA, linearly regressed using measured only site data
    • TA_ERA_NIGHT - Average nighttime TA_ERA
    • TA_ERA_NIGHT_SD - Standard deviation for TA_ERA_NIGHT
    • TA_ERA_DAY - Average daytime TA_ERA
    • TA_ERA_DAY_SD - Standard deviation for TA_ERA_DAY
    • TA_F - Air temperature, consolidated from TA_F_MDS and TA_ERA
    • TA_F_QC - Quality flag for TA_F
    • TA_F_NIGHT - Average nighttime TA_F
    • TA_F_NIGHT_SD - Standard deviation for TA_F_NIGHT
    • TA_F_NIGHT_QC - Quality flag for TA_F_NIGHT
    • TA_F_DAY - Average daytime TA_F
    • TA_F_DAY_SD - Standard deviation for TA_F_DAY
    • TA_F_DAY_QC - Quality flag for TA_F_DAY
    • SW_IN_F_MDS - Shortwave radiation, incoming, gapfilled using MDS (negative values set to zero, e.g., negative values from instrumentation noise)
    • SW_IN_F_MDS_QC - Quality flag for SW_IN_F_MDS
    • SW_IN_ERA - Shortwave radiation, incoming, downscaled from ERA, linearly regressed using measured only site data (negative values set to zero)
    • SW_IN_F - Shortwave radiation, incoming consolidated from SW_IN_F_MDS and SW_IN_ERA (negative values set to zero)
    • SW_IN_F_QC - Quality flag for SW_IN_F
    • LW_IN_F_MDS - Longwave radiation, incoming, gapfilled using MDS
    • LW_IN_F_MDS_QC - Quality flag for LW_IN_F_MDS
    • LW_IN_ERA - Longwave radiation, incoming, downscaled from ERA, linearly regressed using measured only site data
    • LW_IN_F - Longwave radiation, incoming, consolidated from LW_IN_F_MDS and LW_IN_ERA
    • LW_IN_F_QC - Quality flag for LW_IN_F
    • 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)
    • LW_IN_JSB_QC - Quality flag for LW_IN_JSB
    • LW_IN_JSB_ERA - Longwave radiation, incoming, downscaled from ERA, linearly regressed using site level LW_IN_JSB calculated from measured only drivers
    • LW_IN_JSB_F - Longwave radiation, incoming, consolidated from LW_IN_JSB and LW_IN_JSB_ERA
    • LW_IN_JSB_F_QC - Quality flag for LW_IN_JSB_F
    • VPD_F_MDS - Vapor Pressure Deficit, gapfilled using MDS
    • VPD_F_MDS_QC - Quality flag for VPD_F_MDS
    • VPD_ERA - Vapor Pressure Deficit, downscaled from ERA, linearly regressed using measured only site data
    • VPD_F - Vapor Pressure Deficit consolidated from VPD_F_MDS and VPD_ERA
    • VPD_F_QC - Quality flag for VPD_F
    • PA_ERA - Atmospheric pressure, downscaled from ERA, linearly regressed using measured only site data
    • PA_F - Atmospheric pressure consolidated from PA and PA_ERA
    • PA_F_QC - Quality flag for PA_F
    • P_ERA - Precipitation, downscaled from ERA, linearly regressed using measured only site data
    • P_F - Precipitation consolidated from P and P_ERA
    • P_F_QC - Quality flag for P_F
    • WS_ERA - Wind speed, downscaled from ERA, linearly regressed using measured only site data
    • WS_F - Wind speed, consolidated from WS and WS_ERA
    • WS_F_QC - Quality flag of WS_F
    • USTAR - Friction velocity
    • USTAR_QC - Quality flag of USTAR
    • NETRAD - Net radiation
    • NETRAD_QC - Quality flag of NETRAD
    • CO2_F_MDS - CO2 mole fraction, gapfilled with MDS
    • CO2_F_MDS_QC - Quality flag for CO2_F_MDS
    • G_F_MDS - Soil heat flux
    • G_F_MDS_QC - Quality flag of G_F_MDS
    • LE_F_MDS - Latent heat flux, gapfilled using MDS method
    • LE_F_MDS_QC - Quality flag for LE_F_MDS, LE_CORR, LE_CORR25, and LE_CORR75.
    • LE_CORR - Latent heat flux, corrected LE_F_MDS by energy balance closure correction factor
    • LE_RANDUNC - Random uncertainty of LE, from measured only data
    • H_F_MDS - Sensible heat flux, gapfilled using MDS method
    • H_F_MDS_QC - Quality flag for H_F_MDS, H_CORR, H_CORR25, and H_CORR75.
    • H_CORR - Sensible heat flux, corrected H_F_MDS by energy balance closure correction factor
    • H_RANDUNC - Random uncertainty of H, from measured only data
    • 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)
    • EBC_CF_METHOD - Method used to calculate the energy balance closure correction factor
    • NIGHT_RANDUNC_N - Number of half hours classified as nighttime and used to calculate the aggregated random uncertainty
    • DAY_RANDUNC_N - Number of half hours classified as daytime and used to calculate the aggregated random uncertainty
    • 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
    • NEE_VUT_REF_QC - Quality flag for NEE_VUT_REF
    • NEE_VUT_REF_RANDUNC - Random uncertainty for NEE_VUT_REF, from measured only data
    • NEE_VUT_REF_JOINTUNC - Joint uncertainty estimation for NEE_VUT_REF, including random uncertainty and USTAR filtering uncertainty
    • NEE_VUT_USTAR50 - Net Ecosystem Exchange, using Variable Ustar Threshold (VUT) for each year, from 50 percentile of USTAR threshold
    • NEE_VUT_USTAR50_QC - Quality flag for NEE_VUT_USTAR50
    • NEE_VUT_USTAR50_RANDUNC - Random uncertainty for NEE_VUT_USTAR50, from measured only data
    • NEE_VUT_USTAR50_JOINTUNC - Joint uncertainty estimation for NEE_VUT_USTAR50, including random uncertainty and USTAR filtering uncertainty
    • NEE_VUT_MEAN - Net Ecosystem Exchange, using Variable Ustar Threshold (VUT) for each year, average from 40 NEE_VUT_XX versions
    • NEE_VUT_MEAN_QC - Quality flag for NEE_VUT_MEAN, fraction between 0-1 indicating percentage of good quality data
    • NEE_VUT_SE - Standard Error for NEE_VUT, calculated as SD(NEE_VUT_XX) / SQRT(40)
    • NEE_VUT_REF_NIGHT - Average nighttime NEE, from NEE_VUT_REF
    • NEE_VUT_REF_NIGHT_SD - Standard Deviation of the nighttime NEE, from the NEE_VUT_REF
    • NEE_VUT_REF_NIGHT_QC - Quality flag for NEE_VUT_REF_NIGHT
    • NEE_VUT_REF_NIGHT_RANDUNC - Random uncertainty of NEE_VUT_REF_NIGHT, from the random uncertainty of the single nighttime half-hours
    • NEE_VUT_REF_NIGHT_JOINTUNC - Joint uncertainty estimation for NEE_VUT_REF_NIGHT, including random uncertainty and USTAR filtering uncertainty
    • NEE_VUT_REF_DAY - Average daytime NEE, from NEE_VUT_REF
    • NEE_VUT_REF_DAY_SD - Standard Deviation of the daytime NEE, from the NEE_VUT_REF
    • NEE_VUT_REF_DAY_QC - Quality flag for NEE_VUT_REF_DAY
    • NEE_VUT_REF_DAY_RANDUNC - Random uncertainty of NEE_VUT_REF_DAY, from the random uncertainty of the single daytime half-hours
    • NEE_VUT_REF_DAY_JOINTUNC - Joint uncertainty estimation for NEE_VUT_REF_DAY, including random uncertainty and USTAR filtering uncertainty
    • NEE_VUT_USTAR50_NIGHT - Average nighttime NEE, from NEE_VUT_USTAR50
    • NEE_VUT_USTAR50_NIGHT_SD - Standard Deviation of the nighttime NEE, from the NEE_VUT_USTAR50
    • NEE_VUT_USTAR50_NIGHT_QC - Quality flag for NEE_VUT_USTAR50_NIGHT
    • NEE_VUT_USTAR50_NIGHT_RANDUNC - Random uncertainty of NEE_VUT_USTAR50_NIGHT, from the random uncertainty of the single nighttime half-hours
    • NEE_VUT_USTAR50_NIGHT_JOINTUNC - Joint uncertainty estimation for NEE_VUT_USTAR50_NIGHT, including random uncertainty and USTAR filtering uncertainty
    • NEE_VUT_USTAR50_DAY - Average daytime NEE, from NEE_VUT_USTAR50
    • NEE_VUT_USTAR50_DAY_SD - Standard Deviation of the daytime NEE, from the NEE_VUT_USTAR50
    • NEE_VUT_USTAR50_DAY_QC - Quality flag for NEE_VUT_USTAR50_DAY
    • NEE_VUT_USTAR50_DAY_RANDUNC - Random uncertainty of NEE_VUT_USTAR50_DAY, from the random uncertainty of the single daytime half-hours
    • NEE_VUT_USTAR50_DAY_JOINTUNC - Joint uncertainty estimation for NEE_VUT_USTAR50_DAY, including random uncertainty and USTAR filtering uncertainty
    • 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
    • RECO_NT_VUT_USTAR50 - Ecosystem Respiration, from Nighttime partitioning method, based on NEE_VUT_USTAR50
    • RECO_NT_VUT_MEAN - Ecosystem Respiration, from Nighttime partitioning method, average from RECO versions, each from corresponding NEE_VUT_XX version
    • RECO_NT_VUT_SE - Standard Error for Ecosystem Respiration, calculated as (SD(RECO_NT_VUT_XX) / SQRT(40))
    • 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
    • GPP_NT_VUT_USTAR50 - Gross Primary Production, from Nighttime partitioning method, based on NEE_VUT_USTAR50
    • GPP_NT_VUT_MEAN - Gross Primary Production, from Nighttime partitioning method, average from GPP versions, each from corresponding NEE_VUT_XX version
    • GPP_NT_VUT_SE - Standard Error for Gross Primary Production, calculated as (SD(GPP_NT_VUT_XX) / SQRT(40))
    • 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
    • RECO_DT_VUT_USTAR50 - Ecosystem Respiration, from Daytime partitioning method, based on NEE_VUT_USTAR50
    • RECO_DT_VUT_MEAN - Ecosystem Respiration, from Daytime partitioning method, average from RECO versions, each from corresponding NEE_VUT_XX version
    • RECO_DT_VUT_SE - Standard Error for Ecosystem Respiration, calculated as (SD(RECO_DT_VUT_XX) / SQRT(40))
    • 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
    • GPP_DT_VUT_USTAR50 - Gross Primary Production, from Daytime partitioning method, based on NEE_VUT_USTAR50
    • GPP_DT_VUT_MEAN - Gross Primary Production, from Daytime partitioning method, average from GPP versions, each from corresponding NEE_VUT_XX version
    • GPP_DT_VUT_SE - Standard Error for Gross Primary Production, calculated as (SD(GPP_DT_VUT_XX) / SQRT(40))
    • RECO_SR - Ecosystem Respiration, from Sundown Respiration partitioning method
    • RECO_SR_N - Fraction between 0-1, indicating the percentage of data avaiable in the averaging period to parametrize the respiration model
  • Temporal Resolution: half-hourly, daily, weekly, monthly, yearly
  • Spatial Resolution: Field level

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