Powered by OpenAIRE graph
Found an issue? Give us feedback
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ ZENODOarrow_drop_down
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Dataset . 2023
License: CC BY
Data sources: Datacite
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Dataset . 2023
License: CC BY
Data sources: ZENODO
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Dataset . 2023
License: CC BY
Data sources: Datacite
versions View all 2 versions
addClaim

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

Authors: De Pue, Jan; Wieneke, Sebastian; Bastos, Ana; Barrios, José Miguel; Liu, Liyang; Ciais, Philippe; Arboleda, Alirio; +6 Authors

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

Abstract

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: FLUXNET2015 dataset (Pastorello et al., 2020) and the ICOS ’2018 drought initiative’ dataset (Drought 2018 Team and ICOS Ecosystem Thematic Centre, 2019). Original dataset available at https://fluxnet.org/ and https://www.icos-cp.eu/data-products/ YVR0-4898 ERA5 product (Hersbach et al., 2020); Original dataset available at https://cds.climate.copernicus.eu/ MODIS: Original dataset available at https://modis.gsfc.nasa.gov/data/ SPOT Vegetation/PROBA V: Original dataset available at https://land.copernicus.eu/global/ Downscaled GOME2 SIF product by Duveiller et al. (2020). Original dataset available at https://doi.org/10.2905/21935FFC-B797-4BEE-94DA-8FEC85B3F9E1 FluxCom product ensemble (Jung et al., 2020). Original dataset available at http://fluxcom.org/ 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)

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

Keywords

Vegetation indices, DGVM, Soil Moisture, GPP, Meteorological data, Remote sensing

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    0
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
    OpenAIRE UsageCounts
    Usage byUsageCounts
    visibility views 40
    download downloads 48
  • 40
    views
    48
    downloads
    Powered byOpenAIRE UsageCounts
Powered by OpenAIRE graph
Found an issue? Give us feedback
visibility
download
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
OpenAIRE UsageCountsViews provided by UsageCounts
downloads
OpenAIRE UsageCountsDownloads provided by UsageCounts
0
Average
Average
Average
40
48