Published May 12, 2023 | Version v1
Dataset Open

Observed and modelled GPP at 61 eddy covariance sites (2007-2018)

  • 1. Department of Meteorological and Climatological Research, Royal Meteorological Institute, Brussels, Belgium
  • 2. Remote Sensing Center for Earth System Research, University of Leipzig, Leipzig, Germany
  • 3. Department of Biogeochemical Integration, Max Planck Institute for Biogeochemistry, Jena, Germany
  • 4. Laboratoire des Sciences du Climat et de l'Environnement, LSCE/IPSL, CEA-CNRS-UVSQ, Université Paris-Saclay, Gif-sur-Yvette, France
  • 5. Department of Biology, University of Antwerp

Description

In the frame of the ECOPROPHET project, data was collected from in situ observations, remote-sensing sources and models for 61 sites. The objective of this project was to improve our understanding of ecosystem productivity and the role of vegetation phenology as a key determinant of ecosystem carbon, water and energy balances. More info and publications can be found at http://ecoprophet.meteo.be
This dataset contains timeseries of observed GPP, modelled GPP (using 15 models), along with key hydrometeorological variables (shortwave radiation, air temperature, vapor pressure deficit and soil moisture).
The timeseries are at daily resolution, covering the period 2007-2018 (depending on the data availability per site).
The dataset is partly extracted from:

File descriptions:
README.pdf : description
EcopropheciesMeta.txt : metadata
EcopropheciesDataset.txt : data

More details and analysis of the data can be found in:
De Pue, J., Wieneke, Bastos, A., S., Barrios, J.M., Liu, L., Ciais, P., Arboleda, A., Hamdi, R., Maleki, M., Maignan, F., Gellens-Meulenberghs, F., Janssens, I., and Balzarolo, M., Temporal variability of observed and simulated gross primary productivity, modulated by vegetation state and hydrometeorological drivers 2023, Agricultural and Forest Meteorology (submitted)

Notes

Funding by BELSPO STEREO 3 program: * ECOPROPHET, Web: http://ecoprophet.meteo.be, Award: BELSPO STEREO 3 SR/00/334 * ECOPROPHECIES, Web: http://ecoprophet.meteo.be, Award: BELSPO STEREO 3 SR/34/211

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EcopropheciesDataset.txt

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