Variables

Variables#

  • List of variable abbreviations: extensive list with variable names used by the Grassland Sciences group, FLUXNET, ICOS and others. Has a search bar.

Eddy covariance fluxes#

Main fluxes#

Fluxes calculated from direct measurements.

In addition to fluxes that were filtered according to quality

NEE#

  • Net ecosystem exchange of carbon dioxide, µmol CO2 m-2 s-1 (2005-2024)

  • 3 different versions: 3 USTAR scenarios, gap-filled with random forest

  • Recommended variables in the dataset:

    • NEE_L3.1_L3.3_CUT_50_QCF: fully quality-controlled flux, daytime: highest- and medium-quality fluxes, nighttime: only highest-quality fluxes, not gap-filled

    • NEE_L3.1_L3.3_CUT_50_QCF_gfRF: fully quality-controlled flux, gap-filled using long-term random forest as implemented in diive

    • NEE_L3.1_L3.3_CUT_50_QCF0: fully quality-controlled flux, but only highest-quality fluxes, not gap-filled

LE#

  • Latent heat flux, W m-2 (2005-2024)

  • 1 version, gap-filled with random forest

  • Recommended variables in the dataset:

    • LE_L3.1_L3.3_CUT_NONE_QCF: fully quality-controlled flux, daytime and nighttime: highest- and medium-quality fluxes, not gap-filled

    • LE_L3.1_L3.3_CUT_NONE_QCF_gfRF: fully quality-controlled flux, gap-filled using long-term random forest as implemented in diive

    • LE_L3.1_L3.3_CUT_NONE_QCF0: fully quality-controlled flux, but only highest-quality fluxes, not gap-filled

ET (in progress)#

  • Evapotranspiration, mm h-1 (2005-2024)

  • 1 version, calculated from LE gap-filled with random forest

    • Recommended variables in the dataset: in progress

H#

  • Sensible heat flux, W m-2 (2005-2024)

  • 1 version, gap-filled with random forest

  • Recommended variables in the dataset:

    • H_L3.1_L3.3_CUT_NONE_QCF: fully quality-controlled flux, daytime and nighttime: highest- and medium-quality fluxes, not gap-filled

    • H_L3.1_L3.3_CUT_NONE_QCF_gfRF: fully quality-controlled flux, gap-filled using long-term random forest as implemented in diive

    • H_L3.1_L3.3_CUT_NONE_QCF0: fully quality-controlled flux, but only highest-quality fluxes, not gap-filled

FN2O#

  • Nitrous oxide flux, nmol N2O m-2 s-1 (Jan 2012 - July 2022, with eight years of good data coverage)

  • 3 different versions: 3 USTAR scenarios, gap-filled with random forest

  • Recommended variables in the dataset:

    • FN2O_L3.1_L3.3_CUT_50_QCF: fully quality-controlled flux, daytime and nighttime: highest- and medium-quality fluxes, not gap-filled

    • FN2O_L3.1_L3.3_CUT_50_QCF_gfRF: fully quality-controlled flux, gap-filled using long-term random forest as implemented in diive

    • FN2O_L3.1_L3.3_CUT_50_QCF0: fully quality-controlled flux, but only highest-quality fluxes, not gap-filled

FCH4#

  • Methane flux, nmol CH4 m-2 s-1 (Jan 2012 - July 2022, with eight years of good data coverage)

  • 3 different versions: 3 USTAR scenarios, gap-filled with random forest

  • Recommended variables in the dataset:

    • FCH4_L3.1_L3.3_CUT_50_QCF: fully quality-controlled flux, daytime and nighttime: highest- and medium-quality fluxes, not gap-filled

    • FCH4_L3.1_L3.3_CUT_50_QCF_gfRF: fully quality-controlled flux, gap-filled using long-term random forest as implemented in diive

    • FCH4_L3.1_L3.3_CUT_50_QCF0: fully quality-controlled flux, but only highest-quality fluxes, not gap-filled

Modeled fluxes#

Fluxes calculated from main fluxes.

GPP#

  • gross primary productivity, modeled from NEE partitioning, µmol CO2 m-2 s-1

  • 6 different different versions, based on the 3 NEE versions

  • Recommended variables in the dataset:

    • Using nighttime method (Reichstein et al., 2005):

      • GPP_NT_CUT_16_gfRF

      • GPP_NT_CUT_50_gfRF

      • GPP_NT_CUT_84_gfRF

    • Using daytime method (Lasslop et al., 2010):

      • GPP_DT_CUT_16_gfRF

      • GPP_DT_CUT_50_gfRF

      • GPP_DT_CUT_84_gfRF

RECO#

  • ecosystem respiration, modeled from NEE partitioning, µmol CO2 m-2 s-1

  • 6 different different versions, based on the 3 NEE versions

  • Recommended variables in the dataset:

    • Using nighttime method (Reichstein et al., 2005):

      • RECO_NT_CUT_16_gfRF

      • RECO_NT_CUT_50_gfRF

      • RECO_NT_CUT_84_gfRF

    • Using daytime method (Lasslop et al., 2010):

      • RECO_DT_CUT_16_gfRF

      • RECO_DT_CUT_50_gfRF

      • RECO_DT_CUT_84_gfRF

Meteo#

Variables directly measured at the site.

  • TA: air temperature °C

  • SW_IN: short-wave incoming radiation W m-2

  • SW_OUT: short-wave outgoing radiation W m-2

  • LW_IN: long-wave incoming radiation W m-2

  • LW_OUT: long-wave outgoing radiation W m-2

  • NETRAD: net radiation W m-2

  • PA: air pressure hPa

  • PPFD_IN: incoming photosynthetic photon flux density µmol m-2 s-1

  • PPFD_OUT: outgoing photosynthetic photon flux density µmol m-2 s-1

  • PREC: precipitation mm

  • RH: relative humidity %

  • VPD: vapor pressure deficit, calculated from TA and VPD, kPa

  • SWC: soil water content %

  • TS: soil temperature °C

  • G: soil heat flux W m-2

Variants#

Variants calculated from directly measured variables.

See description in the Overview.

Management#

Management events at the site.

  • MGMT_MOWING: mowing/harvest

  • MGMT_FERT_ORG: application of organic fertilizer

  • MGMT_FERT_MIN: application of mineral fertilizer

  • MGMT_GRAZING: grazing by sheep or cattle

  • MGMT_SOWING: sowing

  • MGMT_SOILCULTIVATION: soil cultivation, e.g. grassland restoration in 2012

  • MGMT_PESTICIDE_HERBICIDE: application of pesticides/herbicides

See description regarding managment data in the Overview.

Auxiliary#

soon

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