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European hourly NPP for 2013 based on LPJ-GUESS (generated in 2024)

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2013-01-01–2013-12-31

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Latest version: Xme2n1SJG7jWFt4FjSV9gh-8
10.18160/W3N3-9S4D (target, metadata)
11676/FT56hjj48DST3Pf0xVfitaAk (link)

The product is generated in 2026. LPJ-GUESS (version 4.1, revision 14038) is forced with hourly ERA5 climate datasets to simulate European terrestrial CO2 flux at a resolution of 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 EU plant functional types (PFTs), soil hydrology and biogeochemistry (Smith et al., 2001, https://web.nateko.lu.se/lpj-guess/). The model simulates natural vegetation, pasture, and cropland vegetation, with land cover data derived from LUH2. This means that the simulations account for land use and land-use change. The positive value means CO2 uptake from the atmosphere, and the negative value means CO2 release to the atmosphere.

NPP is defined as the difference between GPP and autotrophic respiration, and measures the net production or accumulation of dry matter in plants over a period. Positive values are fluxes into the biosphere
2013-01-01 00:00:00
2013-12-31 23:00:00
hourly
Wu, Z., 2026. European hourly NEP, NPP, GPP and heterotrophic respiration for 2010-2025 based on LPJ-GUESS (generated in 2026). 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/objects/nYi7PrbsX23SWZj5blnm8QTV},
  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 2010-2025 based on LPJ-GUESS  (generated in 2026)},
  publisher = {ICOS ERIC - Carbon Portal},
  year = {2026},
  copyright = {Creative Commons Attribution 4.0 International}
}
RIS
TY  - DATA
T1  - European hourly NEP, NPP, GPP and heterotrophic respiration for 2010-2025 based on LPJ-GUESS  (generated in 2026)
AU  - Wu, Zhendong
DO  - 10.18160/W3N3-9S4D
UR  - https://meta.icos-cp.eu/objects/nYi7PrbsX23SWZj5blnm8QTV
AB  - The product is generated in 2026. LPJ-GUESS (version 4.1, revision 14038) is forced with hourly ERA5 climate datasets to simulate European terrestrial CO2 flux at a resolution of 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 EU plant functional types (PFTs), soil hydrology and biogeochemistry (Smith et al., 2001, https://web.nateko.lu.se/lpj-guess/). The model simulates natural vegetation, pasture, and cropland vegetation, with land cover data derived from LUH2. This means that the simulations account for land use and land-use change. The positive value means CO2 uptake from the atmosphere, and the negative value means CO2 release to the atmosphere.
KW  - Terrestrial Ecosystems
KW  - Land Biogeochemistry
KW  - Land Surface
KW  - Carbon cycle
KW  - Ecosystem Model
KW  - Carbon Flux
PY  - 2026
PB  - ICOS ERIC - Carbon Portal
ER  -
conv_lpj_hnpp_eu_0.5deg_2013.nc
114 MB (119151258 bytes)
3

Production

2024-06-03 11:00:00

Previewable variables

Name Value type Unit Quantity kind Preview
npp net primary production μmol m-2 s-1 particle flux Preview

Statistics

27
0

Submission

2024-07-03 13:53:40
2024-07-03 13:48:28

Technical information

153e7a8638f8f03493dcf7f4c557e2b5a024638e7af584082a840992293a7547
FT56hjj48DST3Pf0xVfitaAkY4569YQIKoQJkik6dUc
S: 35, W: -10, N: 71, E: 35
Carbon cycle Ecosystem model LPJ-GUESS Land Biogeochemistry Land Surface Terrestrial Ecosystem biosphere modeling carbon flux