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European hourly GPP for 2019 based on LPJ-GUESS (generated in 2024)

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2019-01-01–2019-12-31

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Latest version: 1a3dRX2DCfmhPx_Hb76MgfFV
10.18160/W3N3-9S4D (target, metadata)
11676/D61F9mPAMP-bZQp9BIebOjR7 (link)

The product is generated in 2024. LPJ-GUESS (revision 6562) forced with hourly ERA5 climate datasets to simulate global terrestrial NEE, GPP and total respiration in 0.5 degree. LPJ-GUESS is a process-based dynamic global vegetation model, it uses time series data (e.g. climate forcing and atmospheric carbon dioxide concentrations with WMO CO2 X2019 scale) as input to simulate the effects of environmental change on vegetation structure and composition in terms of European plant functional types (PFTs), soil hydrology and biogeochemistry (Smith et al., 2001, https://web.nateko.lu.se/lpj-guess/).

GPP is defined as the rate of the total amount of carbon fixed by plants in the process of photosynthesis in a given length of time. Positive values are fluxes into the biosphere
2019-01-01 00:00:00
2019-12-31 23:00:00
hourly
Wu, Z., 2024. European hourly NEP, NPP, GPP and heterotrophic respiration for 2010-2023 based on LPJ-GUESS (generated in 2024). https://doi.org/10.18160/W3N3-9S4D
BibTex
@misc{https://doi.org/10.18160/w3n3-9s4d,
  doi = {10.18160/W3N3-9S4D},
  url = {https://meta.icos-cp.eu/collections/r--lXZki09JvHLjBaitAYCK5},
  author = {Wu, Zhendong},
  keywords = {Terrestrial Ecosystems, Land Biogeochemistry, Land Surface, Carbon cycle, Ecosystem Model, Carbon Flux},
  title = {European hourly NEP, NPP, GPP and heterotrophic respiration for 2010-2023 based on LPJ-GUESS  (generated in 2024)},
  publisher = {ICOS ERIC - Carbon Portal},
  year = {2024},
  copyright = {Creative Commons Attribution 4.0 International}
}
RIS
TY  - GEN
T1  - European hourly NEP, NPP, GPP and heterotrophic respiration for 2010-2023 based on LPJ-GUESS  (generated in 2024)
AU  - Wu, Zhendong
DO  - 10.18160/W3N3-9S4D
UR  - https://meta.icos-cp.eu/collections/r--lXZki09JvHLjBaitAYCK5
AB  - The product is generated in 2024. LPJ-GUESS (revision 6562) forced with hourly ERA5 climate datasets to simulate global terrestrial NEE, GPP and total respiration in 0.5 degree. LPJ-GUESS is a process-based dynamic global vegetation model, it uses time series data (e.g. climate forcing and atmospheric carbon dioxide concentrations with WMO CO2 X2019 scale) as input to simulate the effects of environmental change on vegetation structure and composition in terms of European plant functional types (PFTs), soil hydrology and biogeochemistry (Smith et al., 2001, https://web.nateko.lu.se/lpj-guess/).
KW  - Terrestrial Ecosystems
KW  - Land Biogeochemistry
KW  - Land Surface
KW  - Carbon cycle
KW  - Ecosystem Model
KW  - Carbon Flux
PY  - 2024
PB  - ICOS ERIC - Carbon Portal
ER  -
conv_lpj_hgpp_eu_0.5deg_2019.nc
62 MB (65343043 bytes)
3

Production

2024-06-03 11:00:00

Previewable variables

Name Value type Unit Quantity kind Preview
gpp gross primary CO2 production µmol m-2 s-1 particle flux Preview

Statistics

35
1

Submission

2024-07-03 13:50:30
2024-07-03 11:02:39

Technical information

0fad45f663c030ff9b650a7d04879b3a347b5d3f5d5feabbc95d7bde5e1d6256
D61F9mPAMP+bZQp9BIebOjR7XT9dX+q7yV173l4dYlY
S: 35, W: -10, N: 71, E: 35
Carbon cycle Ecosystem model LPJ-GUESS Land Biogeochemistry Land Surface Terrestrial Ecosystem biosphere modeling carbon flux