The SUBSET Data Product for the FLUXNET2015 Release includes fewer data variables, the ones most commonly used plus minimal data quality and uncertainty information. This significantly reduces the number of variables in this data product compared to the comprehensive FULLSET Data Product.
AUXMETEO Data Product
Auxiliary data product containing results from the downscaling of micrometeorological variables using the ERA-Interim reanalysis data product. Variables in this files relate to the linear regression and error/correlation estimates for each data variable used in the downscaling.
Variables (see list below): TA, PA, VPD, WS, P, SW_IN, LW_IN, LW_IN_JSB
Parameters:
- ERA_SLOPE: slope of linear regression
- ERA_INTERCEPT: intercept point of linear regression
- ERA_RMSE: root mean square error between site data and downscaled data
- ERA_CORRELATION: correlation coefficient of linear fit (R-Squared == ERA_CORRELATION * ERA_CORRELATION)
AUXNEE Data Product
Auxiliary data product with variables resulting from the processing of NEE (mainly related to USTAR filtering) and generation of RECO and GPP. Variables in this product include success/failure of execution of USTAR filtering methods, USTAR thresholds applied to different versions of variables, and percentile/threshold pairs with best model efficiency results.
Variables:
- USTAR_MP_METHOD: Moving Point Test USTAR threshold method run
- USTAR_CP_METHOD: Change Point Detection USTAR threshold method run
- NEE_USTAR50_[UT]: NEE using 50-percentile ofUSTAR thresholds from bootstrapping at USTAR filtering step using method UT (CUT, VUT)
- NEE_[UT]_REF: Reference NEE, using model efficiency approach, using method UT (CUT, VUT)
- [PROD]_[ALG]_[UT]_REF: Reference product PROD (RECO or GPP), using model efficiency approach, using algorithm ALG(NT, DT) for partitioning and method UT (CUT, VUT)
Parameters:
- SUCCESS_RUN: 1 if run of method (USTAR_MP_METHOD or USTAR_CP_METHOD) was successful, 0 otherwise
- USTAR_PERCENTILE: percentile of USTAR thresholds from bootstrapping at USTAR filtering step
- USTAR_THRESHOLD: USTAR threshold value corresponding to USTAR_PERCENTILE
- [RR]_USTAR_PERCENTILE: percentile of USTAR thresholds from bootstrapping at USTAR filtering step at resolution RR (HH, DD, WW, MM, YY)
- [RR]_USTAR_THRESHOLD: USTAR threshold value corresponding to USTAR_PERCENTILE at resolution RR (HH, DD, WW, MM, YY)
Variables in the SUBSET Data Product
| Variable | Units | Description |
| TIMEKEEPING | ||
| TIMESTAMP | YYYYMMDDHHMM | ISO timestamp – short format |
| TIMESTAMP_START | YYYYMMDDHHMM | ISO timestamp start of averaging period – short format |
| TIMESTAMP_END | YYYYMMDDHHMM | ISO timestamp end of averaging period – short format |
| MICROMETEOROLOGICAL | ||
| TA_F | Air temperature, consolidated from TA_F_MDS and TA_ERA | |
| HH | deg C | TA_F_MDS used if TA_F_MDS_QC is 0 or 1 |
| DD | deg C | average from half-hourly data |
| WW-YY | deg C | average from daily data |
| TA_F_QC | Quality flag for TA_F | |
| HH | nondimensional | 0 = measured; 1 = good quality gapfill; 2 = downscaled from ERA |
| DD | nondimensional | fraction between 0-1, indicating percentage of measured and good quality gapfill data |
| WW-YY | nondimensional | fraction between 0-1, indicating percentage of measured and good quality gapfill data (average from daily data) |
| SW_IN_POT | Shortwave radiation, incoming, potential (top of atmosphere) | |
| HH | W m-2 | |
| DD | W m-2 | average from half-hourly data |
| WW-MM | W m-2 | average from daily data |
| YY | W m-2 | not defined |
| SW_IN_F | Shortwave radiation, incoming consolidated from SW_IN_F_MDS and SW_IN_ERA (negative values set to zero) | |
| HH | W m-2 | SW_IN_F_MDS used if SW_IN_F_MDS_QC is 0 or 1 |
| DD | W m-2 | average from half-hourly data |
| WW-YY | W m-2 | average from daily data |
| SW_IN_F_QC | Quality flag for SW_IN_F | |
| HH | nondimensional | 0 = measured; 1 = good quality gapfill; 2 = downscaled from ERA |
| DD | nondimensional | fraction between 0-1, indicating percentage of measured and good quality gapfill data |
| WW-YY | nondimensional | fraction between 0-1, indicating percentage of measured and good quality gapfill data (average from daily data) |
| LW_IN_F | Longwave radiation, incoming, consolidated from LW_IN_F_MDS and LW_IN_ERA | |
| HH | W m-2 | LW_IN_F_MDS used if LW_IN_F_MDS_QC is 0 or 1 |
| DD | W m-2 | average from half-hourly data |
| WW-YY | W m-2 | average from daily data |
| LW_IN_F_QC | Quality flag for LW_IN_F | |
| HH | nondimensional | 0 = measured; 1 = good quality gapfill; 2 = downscaled from ERA |
| DD | nondimensional | fraction between 0-1, indicating percentage of measured and good quality gapfill data |
| WW-YY | nondimensional | fraction between 0-1, indicating percentage of measured and good quality gapfill data (average from daily data) |
| VPD_F | Vapor Pressure Deficit consolidated from VPD_F_MDS and VPD_ERA | |
| HH | hPa | VPD_F_MDS used if VPD_F_MDS_QC is 0 or 1 |
| DD | hPa | average from half-hourly data |
| WW-YY | hPa | average from daily data |
| VPD_F_QC | Quality flag for VPD_F | |
| HH | nondimensional | 0 = measured; 1 = good quality gapfill; 2 = downscaled from ERA |
| DD | nondimensional | fraction between 0-1, indicating percentage of measured and good quality gapfill data |
| WW-YY | nondimensional | fraction between 0-1, indicating percentage of measured and good quality gapfill data (average from daily data) |
| PA_F | Atmospheric pressure consolidated from PA and PA_ERA | |
| HH | kPa | PA used if measured |
| DD | kPa | average from half-hourly data |
| WW-YY | kPa | average from daily data |
| PA_F_QC | Quality flag for PA_F | |
| HH | nondimensional | 0 = measured; 2 = downscaled from ERA |
| DD | nondimensional | fraction between 0-1, indicating percentage of measured data |
| WW-YY | nondimensional | fraction between 0-1, indicating percentage of measured data (average from daily data) |
| P_F | Precipitation consolidated from P and P_ERA | |
| HH | mm | P used if measured (mm per dataset resolution: either hour or half-hour) |
| DD | mm d-1 | sum from half-hourly data (mm per day) |
| WW-MM
YY |
mm d-1
mm y-1 |
average from daily data (mm per day)
sum from daily data (mm per year) |
| P_F_QC | Quality flag for P_F | |
| HH | nondimensional | 0 = measured; 2 = downscaled from ERA |
| DD | nondimensional | fraction between 0-1, indicating percentage of measured data |
| WW-YY | nondimensional | fraction between 0-1, indicating percentage of measured data (average from daily data) |
| WS_F | Wind speed, consolidated from WS and WS_ERA | |
| HH | m s-1 | WS used if measured |
| DD | m s-1 | average from half-hourly data |
| WW-YY | m s-1 | average from daily data |
| WS_F_QC | Quality flag of WS_F | |
| HH | nondimensional | 0 = measured; 2 = downscaled from ERA |
| DD | nondimensional | fraction between 0-1, indicating percentage of measured data |
| WW-YY | nondimensional | fraction between 0-1, indicating percentage of measured data (average from daily data) |
| WD | Wind direction | |
| HH | Decimal degrees | |
| DD-YY | Decimal degrees | not defined |
| RH | Relative humidity, range 0-100 | |
| HH | % | |
| DD-YY | % | not defined |
| USTAR | Friction velocity | |
| HH | m s-1 | |
| DD | m s-1 | average from half-hourly data (only days with more than 50% records available) |
| WW-YY | m s-1 | average from daily data (only periods with more than 50% records available) |
| USTAR_QC | Quality flag of USTAR | |
| HH | nondimensional | not defined |
| DD | nondimensional | fraction between 0-1, indicating percentage of data available (measured) |
| WW-YY | nondimensional | fraction between 0-1, indicating percentage of data available (average from daily data) |
| NETRAD | Net radiation | |
| HH | W m-2 | |
| DD | W m-2 | average from half-hourly data (only days with more than 50% records available) |
| WW-YY | W m-2 | average from daily data (only periods with more than 50% records available) |
| NETRAD_QC | Quality flag of NETRAD | |
| HH | nondimensional | not defined |
| DD | nondimensional | fraction between 0-1, indicating percentage of data available (measured) |
| WW-YY | nondimensional | fraction between 0-1, indicating percentage of data available (average from daily data) |
| PPFD_IN | Photosynthetic photon flux density, incoming | |
| HH | µmolPhoton m-2 s-1 | |
| DD | µmolPhoton m-2 s-1 | average from half-hourly data (only days with more than 50% records available) |
| WW-YY | µmolPhoton m-2 s-1 | average from daily data (only periods with more than 50% records available) |
| PPFD_IN_QC | Quality flag of PPFD_IN | |
| HH | nondimensional | not defined |
| DD | nondimensional | fraction between 0-1, indicating percentage of data available (measured) |
| WW-YY | nondimensional | fraction between 0-1, indicating percentage of data available (average from daily data) |
| PPFD_DIF | Photosynthetic photon flux density, diffuse incoming | |
| HH | µmolPhoton m-2 s-1 | |
| DD | µmolPhoton m-2 s-1 | average from half-hourly data (only days with more than 50% records available) |
| WW-YY | µmolPhoton m-2 s-1 | average from daily data (only periods with more than 50% records available) |
| PPFD_DIF_QC | Quality flag of PPFD_DIF | |
| HH | nondimensional | not defined |
| DD | nondimensional | fraction between 0-1, indicating percentage of data available (measured) |
| WW-YY | nondimensional | fraction between 0-1, indicating percentage of data available (average from daily data) |
| PPFD_OUT | Photosynthetic photon flux density, outgoing | |
| HH | µmolPhoton m-2 s-1 | |
| DD | µmolPhoton m-2 s-1 | average from half-hourly data (only days with more than 50% records available) |
| WW-YY | µmolPhoton m-2 s-1 | average from daily data (only periods with more than 50% records available) |
| PPFD_OUT_QC | Quality flag of PPFD_OUT | |
| HH | nondimensional | not defined |
| DD | nondimensional | fraction between 0-1, indicating percentage of data available (measured) |
| WW-YY | nondimensional | fraction between 0-1, indicating percentage of data available (average from daily data) |
| SW_DIF | Shortwave radiation, diffuse incoming | |
| HH | W m-2 | |
| DD | W m-2 | average from half-hourly data (only days with more than 50% records available) |
| WW-YY | W m-2 | average from daily data (only periods with more than 50% records available) |
| SW_DIF_QC | Quality flag of SW_DIF | |
| HH | nondimensional | not defined |
| DD | nondimensional | fraction between 0-1, indicating percentage of data available (measured) |
| WW-YY | nondimensional | fraction between 0-1, indicating percentage of data available (average from daily data) |
| SW_OUT | Shortwave radiation, outgoing | |
| HH | W m-2 | |
| DD | W m-2 | average from half-hourly data (only days with more than 50% records available) |
| WW-YY | W m-2 | average from daily data (only periods with more than 50% records available) |
| SW_OUT_QC | Quality flag of SW_OUT | |
| HH | nondimensional | not defined |
| DD | nondimensional | fraction between 0-1, indicating percentage of data available (measured) |
| WW-YY | nondimensional | fraction between 0-1, indicating percentage of data available (average from daily data) |
| LW_OUT | Longwave radiation, outgoing | |
| HH | W m-2 | |
| DD | W m-2 | average from half-hourly data (only days with more than 50% records available) |
| WW-YY | W m-2 | average from daily data (only periods with more than 50% records available) |
| LW_OUT_QC | Quality flag of LW_OUT | |
| HH | nondimensional | not defined |
| DD | nondimensional | fraction between 0-1, indicating percentage of data available (measured) |
| WW-YY | nondimensional | fraction between 0-1, indicating percentage of data available (average from daily data) |
| CO2_F_MDS | CO2 mole fraction, gapfilled with MDS | |
| HH | umolCO2 mol-1 | |
| DD | umolCO2 mol-1 | average from half-hourly data |
| WW-YY | umolCO2 mol-1 | average from daily data |
| CO2_F_MDS_QC | Quality flag for CO2_F_MDS | |
| HH | nondimensional | 0 = measured; 1 = good quality gapfill; 2 = medium; 3 = poor |
| DD | nondimensional | fraction between 0-1, indicating percentage of measured and good quality gapfill data |
| WW-YY | nondimensional | fraction between 0-1, indicating percentage of measured and good quality gapfill data (average from daily data) |
| TS_F_MDS_# | Soil temperature, gapfilled with MDS (numeric index “#” increases with the depth, 1 is shallowest) | |
| HH | deg C | |
| DD | deg C | average from half-hourly data |
| WW-YY | deg C | average from daily data |
| TS_F_MDS_#_QC | Quality flag for TS_F_MDS_# | |
| HH | nondimensional | 0 = measured; 1 = good quality gapfill; 2 = medium; 3 = poor |
| DD | nondimensional | fraction between 0-1, indicating percentage of measured and good quality gapfill data |
| WW-YY | nondimensional | fraction between 0-1, indicating percentage of measured and good quality gapfill data (average from daily data) |
| SWC_F_MDS_# | Soil water content, gapfilled with MDS (numeric index “#” increases with the depth, 1 is shallowest) | |
| HH | % | |
| DD | % | average from half-hourly data |
| WW-YY | % | average from daily data |
| SWC_F_MDS_#_QC | Quality flag for SWC_F_MDS_# | |
| HH | nondimensional | 0 = measured; 1 = good quality gapfill; 2 = medium; 3 = poor |
| DD | nondimensional | fraction between 0-1, indicating percentage of measured and good quality gapfill data |
| WW-YY | nondimensional | fraction between 0-1, indicating percentage of measured and good quality gapfill data (average from daily data) |
| ENERGY PROCESSING | ||
| G_F_MDS | Soil heat flux | |
| HH | W m-2 | |
| DD | W m-2 | average from half-hourly data |
| WW-YY | W m-2 | average from daily data |
| G_F_MDS_QC | Quality flag of G_F_MDS | |
| HH | nondimensional | 0 = measured; 1 = good quality gapfill; 2 = medium; 3 = poor |
| DD | nondimensional | fraction between 0-1, indicating percentage of measured and good quality gapfill data |
| WW-YY | nondimensional | fraction between 0-1, indicating percentage of measured and good quality gapfill data (average from daily data) |
| LE_F_MDS | Latent heat flux, gapfilled using MDS method | |
| HH | W m-2 | |
| DD | W m-2 | average from half-hourly data |
| WW-YY | W m-2 | average from daily data |
| LE_F_MDS_QC | Quality flag for LE_F_MDS, LE_CORR, LE_CORR25, and LE_CORR75. | |
| HH | nondimensional | 0 = measured; 1 = good quality gapfill; 2 = medium; 3 = poor |
| DD | nondimensional | fraction between 0-1, indicating percentage of measured and good quality gapfill data |
| WW-YY | nondimensional | fraction between 0-1, indicating percentage of measured and good quality gapfill data (average from daily data) |
| LE_CORR | Latent heat flux, corrected LE_F_MDS by energy balance closure correction factor | |
| HH | W m-2 | |
| DD | W m-2 | average from half-hourly data |
| WW-YY | W m-2 | average from daily data |
| LE_CORR_25 | Latent heat flux, corrected LE_F_MDS by energy balance closure correction factor, 25th percentile | |
| HH | W m-2 | |
| DD | W m-2 | average from half-hourly data |
| WW-YY | not produced | |
| LE_CORR_75 | Latent heat flux, corrected LE_F_MDS by energy balance closure correction factor, 75th percentile | |
| HH | W m-2 | |
| DD | W m-2 | average from half-hourly data |
| WW-YY | not produced | |
| LE_RANDUNC | Random uncertainty of LE, from measured only data | |
| HH | W m-2 | uses only data point where LE_F_MDS_QC is 0 and two hierarchical methods (see header and LE_RANDUNC_METHOD) |
| DD-YY | W m-2 | from random uncertainty of individual half-hours (rand(i)) = [SQRT(SUM(rand(i)^2)) / n], where n is the number of half-hours used |
| H_F_MDS | Sensible heat flux, gapfilled using MDS method | |
| HH | W m-2 | |
| DD | W m-2 | average from half-hourly data |
| WW-YY | W m-2 | average from daily data |
| H_F_MDS_QC | Quality flag for H_F_MDS, H_CORR, H_CORR25, and H_CORR75. | |
| HH | nondimensional | 0 = measured; 1 = good quality gapfill; 2 = medium; 3 = poor |
| DD | nondimensional | fraction between 0-1, indicating percentage of measured and good quality gapfill data |
| WW-YY | nondimensional | fraction between 0-1, indicating percentage of measured and good quality gapfill data (average from daily data) |
| H_CORR | Sensible heat flux, corrected H_F_MDS by energy balance closure correction factor | |
| HH | W m-2 | |
| DD | W m-2 | average from half-hourly data |
| WW-YY | W m-2 | average from daily data |
| H_CORR_25 | Sensible heat flux, corrected H_F_MDS by energy balance closure correction factor, 25th percentile | |
| HH | W m-2 | |
| DD | W m-2 | average from half-hourly data |
| WW-YY | not produced | |
| H_CORR_75 | Sensible heat flux, corrected H_F_MDS by energy balance closure correction factor, 75th percentile | |
| HH | W m-2 | |
| DD | W m-2 | average from half-hourly data |
| WW-YY | not produced | |
| H_RANDUNC | Random uncertainty of H, from measured only data | |
| HH | W m-2 | uses only data point where H_F_MDS_QC is 0 and two hierarchical methods (see header and H_RANDUNC_METHOD) |
| DD-YY | W m-2 | from random uncertainty of individual half-hours (rand(i)) = [SQRT(SUM(rand(i)^2)) / n], where n is the number of half-hours used |
| NET ECOSYSTEM EXCHANGE | ||
| NIGHT | Flag indicating nighttime interval based on SW_IN_POT | |
| HH | nondimensional | 0 = daytime, 1 = nighttime |
| DD-YY | not produced | |
| 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 | |
| HH | umolCO2 m-2 s-1 | |
| DD | gC m-2 d-1 | calculated from half-hourly data |
| WW-MM | gC m-2 d-1 | average from daily data |
| YY | gC m-2 y-1 | sum from daily data |
| NEE_VUT_REF_QC | Quality flag for NEE_VUT_REF | |
| HH | nondimensional | 0 = measured; 1 = good quality gapfill; 2 = medium; 3 = poor |
| DD | nondimensional | fraction between 0-1, indicating percentage of measured and good quality gapfill data |
| WW-YY | nondimensional | fraction between 0-1, indicating percentage of measured and good quality gapfill data (average from daily data) |
| NEE_VUT_REF_RANDUNC | Random uncertainty for NEE_VUT_REF, from measured only data | |
| HH | umolCO2 m-2 s-1 | uses only data points where NEE_VUT_REF_QC is 0 and two hierarchical methods – see header and NEE_VUT_REF_RANDUNC_METHOD |
| DD-MM | gC m-2 d-1 | from random uncertainty of individual half-hours (rand(i)) = [SQRT(SUM(rand(i)^2)) / n], where n is the number of half-hours used |
| YY | gC m-2 y-1 | from random uncertainty of individual half-hours (rand(i)) = [SQRT(SUM(rand(i)^2)) / n], where n is the number of half-hours used |
| 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 | |
| HH | umolCO2 m-2 s-1 | XXth percentile from 40 half-hourly NEE_VUT_XX |
| DD | gC m-2 d-1 | XXth percentile from 40 daily NEE_VUT_XX |
| WW | gC m-2 d-1 | XXth percentile from 40 weekly NEE_VUT_XX |
| MM | gC m-2 d-1 | XXth percentile from 40 monthly NEE_VUT_XX |
| YY | gC m-2 y-1 | XXth percentile from 40 yearly NEE_VUT_XX |
| NEE_VUT_XX_QC | Quality flag for NEE_VUT_XX — XX = 05, 16, 25, 50, 75, 84, 95 | |
| HH | nondimensional | 0 = measured; 1 = good quality gapfill; 2 = medium; 3 = poor |
| DD | nondimensional | fraction between 0-1, indicating percentage of measured and good quality gapfill data |
| WW-YY | nondimensional | fraction between 0-1, indicating percentage of measured and good quality gapfill data (average from daily data) |
| PARTITIONING | ||
| NIGHTTIME | ||
| 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 | |
| HH | umolCO2 m-2 s-1 | |
| DD | gC m-2 d-1 | calculated from half-hourly data |
| WW-MM | gC m-2 d-1 | average from daily data |
| YY | gC m-2 y-1 | sum from daily data |
| RECO_NT_VUT_XX | Ecosystem Respiration, from Nighttime partitioning method (with XX = 05, 16, 25, 50, 75, 84, 95) | |
| HH | umolCO2 m-2 s-1 | |
| DD | gC m-2 d-1 | calculated from half-hourly data |
| WW-MM | gC m-2 d-1 | average from daily data |
| YY | gC m-2 y-1 | sum from daily data |
| 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 | |
| HH | umolCO2 m-2 s-1 | |
| DD | gC m-2 d-1 | calculated from half-hourly data |
| WW-MM | gC m-2 d-1 | average from daily data |
| YY | gC m-2 y-1 | sum from daily data |
| GPP_NT_VUT_XX | Gross Primary Production, from Nighttime partitioning method (with XX = 05, 16, 25, 50, 75, 84, 95) | |
| HH | umolCO2 m-2 s-1 | |
| DD | gC m-2 d-1 | calculated from half-hourly data |
| WW-MM | gC m-2 d-1 | average from daily data |
| YY | gC m-2 y-1 | sum from daily data |
| DAYTIME | ||
| 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 | |
| HH | umolCO2 m-2 s-1 | |
| DD | gC m-2 d-1 | calculated from half-hourly data |
| WW-MM | gC m-2 d-1 | average from daily data |
| YY | gC m-2 y-1 | sum from daily data |
| RECO_DT_VUT_XX | Ecosystem Respiration, from Daytime partitioning method (with XX = 05, 16, 25, 50, 75, 84, 95) | |
| HH | umolCO2 m-2 s-1 | |
| DD | gC m-2 d-1 | calculated from half-hourly data |
| WW-MM | gC m-2 d-1 | average from daily data |
| YY | gC m-2 y-1 | sum from daily data |
| 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 | |
| HH | umolCO2 m-2 s-1 | |
| DD | gC m-2 d-1 | calculated from half-hourly data |
| WW-MM | gC m-2 d-1 | average from daily data |
| YY | gC m-2 y-1 | sum from daily data |
| GPP_DT_VUT_XX | Gross Primary Production, from Daytime partitioning method (with XX = 05, 16, 25, 50, 75, 84, 95) | |
| HH | umolCO2 m-2 s-1 | |
| DD | gC m-2 d-1 | calculated from half-hourly data |
| WW-MM | gC m-2 d-1 | average from daily data |
| YY | gC m-2 y-1 | sum from daily data |
| SUNDOWN | ||
| RECO_SR | Ecosystem Respiration, from Sundown Respiration partitioning method | |
| HH | umolCO2 m-2 s-1 | |
| DD | gC m-2 d-1 | calculated from half-hourly data |
| WW-MM | gC m-2 d-1 | average from daily data |
| YY | gC m-2 y-1 | sum from daily data |
| RECO_SR_N | Fraction between 0-1, indicating the percentage of data avaiable in the averaging period to parametrize the respiration model | |
| HH | not produced | |
| DD-YY | nondimensional | percentage of data available |