EddySample: Example of eddy covariance data.

Description Usage Format Source

Description

A dataset containing eddy covariance data and meteorological data collected at the Puechabon site. Data is included in the FLUXNET2015 dataset.

Usage

1

Format

A data frame containing eddy covariance data.

TIMESTAMP_START

ISO timestamp start of averaging period - short format (YYYYMMDDHHMM)

TIMESTAMP_END

ISO timestamp end of averaging period - short format (YYYYMMDDHHMM)

TA_F

Air temperature, consolidated from TA_F_MDS and TA_ERA (deg C)

SW_IN_F

Shortwave radiation, incoming consolidated from SW_IN_F_MDS and SW_IN_ERA (negative values set to zero) (W m-2)

SW_IN_F_QC

Quality flag for SW_IN_F; 0= measured; 1 = good quality gapfill; 2 =downscaled from ERA

LW_IN_F

Longwave radiation, incoming (W m-2)

LW_IN_F_QC

Quality flag for LW_IN_F; 0= measured; 1 = good quality gapfill; 2 =downscaled from ERA

VPD_F

Air vapor presure deficit (hPa)

VPD_F_QC

Quality flag for VPD_F; 0 = measured; 1 = good quality gapfill; 2 = downscaled from ERA

PA_F

Atmospheric pressure consolidated from PA and PA_ERA (kPa)

PA_F_QC

Quality flag for PA_F; 0 = measured; 1 = good quality gapfill; 2 = downscaled from ERA

WS_F

Wind speed (m s-1) consolidated from WS and WS_ERA, 0 = measured; 1 = good quality gapfill; 2 = downscaled from ERA

WS_F_QC

Quality flag for WS_F; 0 = measured; 1 = good quality gapfill; 2 = downscaled from ERA

WD

Wind direction (decimal degree)

P_F

Precipitation consolidated from P and P_ERA

P_F_QC

Quality flag for P_F; 0 = measured; 2 = downscaled from ERA

USTAR

Friction velocity (m s-1)

NETRAD

Net radiation (w m-2)

PPFD_IN

Photosynthetic photon flux density, incoming (umol m-2 s-1)

PPFD_IN_QC

Quality flag of PPFD_IN (adimensional)

PPFD_DIF

Photosynthetic photon flux density, diffuse incoming (umol m-2 s-1)

PPFD_OUT

Photosynthetic photon flux density, outcoming (umol m-2 s-1)

SW_DIF

Shortwave radiation, diffuse outcoming (W m-2)

SW_OUT

Shortwave radiation, outcoming (W m-2)

LW_OUT

Longwave radiation, outcoming (W m-2)

CO2_F_MDS

CO2 mole fraction, gapfilled with MDS (ppm)

CO2_F_MDS_QC

Quality flag for CO2_F_MDS. 0 = measured; 1 = good quality gapfill; 2 = medium; 3 = poor

TS_F_MDS_1

Soil temperature, gapfilled with MDS (numeric index 1 indicates the shallowest

TS_F_MDS_1_QC

Quality flag for TS_F_MDS_1

SWC_F_MDS_1

Soil water content; gapfilled with MDS (numeric index 1 indicates the shallowest)

SWC_F_MDS_1_QC

Quality flag for SWC_F_MDS_1

G_F_MDS

Soil heat flux (W m-2)

G_F_MDS_QC

Quality flag for G_F_MDS; 0 = measured; 1 = good quality gapfill; 2 = medium; 3 = poor

LE_F_MDS

Latent heat flux, gapfilled using MDS method (W m-2)

LE_F_MDS_QC

Quality flag for LE_F_MDS, LE_CORR, LE_CORR25, and LE_CORR75. Note: this variable is incomplete, a complete version and explanation can be found in the known issues document

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 point where LE_F_MDS_QC is 0 and two hierarchical methods (see header and H_RANDUNC_METHOD)

H_F_MDS

sensible heat flux, gapfilled using MDS method (W m-2)

H_F_MDS_QC

Quality flag for H_F_MDS, H_CORR, H_CORR25, and H_CORR75. Note: this variable is incomplete, a complete version and explanation can be found in the known issues document: http://fluxnet.fluxdata.org/data/fluxnet2015-dataset/known-issues/

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 point where H_F_MDS_QC is 0 and two hierarchical methods (see header and H_RANDUNC_METHOD)

NIGHT

Flag indicating nighttime interval based on SW_IN_POT 0 = daytime, 1 = nighttime

NEE_VUT_MEAN

Net Ecosystem Exchange (umolCO2 m-2 s-1), using Constant Ustar Threshold (CUT) across years, average from 40 NEE_CUT_XX versions

NEE_VUT_MEAN_QC

Quality flag for NEE_VUT_MEAN, fraction between 0-1 indicating percentage of good quality data (adimensional)

NEE_VUT_USTAR50_JOINTUNC

Joint uncertainty estimation for NEE_CUT_USTAR50, including random uncertainty and USTAR filtering uncertainty

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(GPP_NT_VUT_XX) / SQRT(40))

GPP_NT_VUT_MEAN

Gross Primary Production, from Nighttime partitioning method, based on NEE_VUT_MEAN (umol Co2 m-2 s-1)

GPP_NT_VUT_SE

Standard Error for Gross Primary Production,calculated as (SD(GPP_NT_VUT_XX) / SQRT(40))

RECO_DT_VUT_MEAN

Ecosystem respiration, from dayttime 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(GPP_DT_VUT_XX) / SQRT(40))

GPP_DT_VUT_MEAN

Gross Primary Production, from dayttime partitioning method, based on NEE_VUT_MEAN (umol Co2 m-2 s-1)

GPP_DT_VUT_SE

Standard Error for Gross Primary Production,calculated as (SD(GPP_DT_VUT_XX) / SQRT(40))

...

Source

http://fluxnet.fluxdata.org/data/fluxnet2015-dataset/


oscarperezpriego/ETpartitioning documentation built on June 4, 2019, 12:13 a.m.