ICOS

European hourly NEP for 2012 based on LPJ-GUESS (generated in 2024)

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10.18160/W3N3-9S4D (target, metadata)
11676/vDImgDnSXcmDlsezvxP6mKO4 (link)

The product is generated in 2024. LPJ-GUESS (version 4.0, revision 6562) 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/). This simulation models natural fluxes, such as those from vegetation and soil under climate change, via natural processes such as biomass allocation, growth, reproduction, establishment, mortality, and disturbance. This means it does not include anthropogenic activities, such as forest management or agricultural management. The positive value means CO2 uptake from the atmosphere, and the negative value means CO2 release to the atmosphere.

2012-01-01 00:00:00
2012-12-31 23:00:00
hourly
Wu, Z., Michurow, M., Miller, P., 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 and Michurow, Michael and Miller, Paul},
  keywords = {Terrestrial Ecosystems, Land Biogeochemistry, Land Surface, Carbon cycle},
  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 = {CC BY 4.0}
}
RIS
TY  - DATA
T1  - European hourly NEP, NPP, GPP and heterotrophic respiration for 2010-2023 based on LPJ-GUESS  (generated in 2024)
AU  - Wu, Zhendong
AU  - Michurow, Michael
AU  - Miller, Paul
DO  - 10.18160/W3N3-9S4D
UR  - https://meta.icos-cp.eu/collections/r--lXZki09JvHLjBaitAYCK5
AB  - The product is generated in 2024. LPJ-GUESS (version 4.0, revision 6562) 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/). This simulation models natural fluxes, such as those from vegetation and soil under climate change, via natural processes such as biomass allocation, growth, reproduction, establishment, mortality, and disturbance. This means it does not include anthropogenic activities, such as forest management or agricultural management. 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
PY  - 2024
PB  - ICOS ERIC - Carbon Portal
ER  -
conv_lpj_hnep_eu_0.5deg_2012.nc
114 MB (119398731 bytes)
3

Production

2024-06-03 11:00:00
NEP refers to the balance between NPP and HR. Positive values are fluxes into the biosphere

Previewable variables

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

Statistics

0
0

Submission

2024-07-03 13:52:12
2024-07-03 13:11:01

Technical information

bc32268039d25dc98396c7b3bf13fa98a3b875f57f00c00b49eb89fc117330fa
vDImgDnSXcmDlsezvxP6mKO4dfV/AMALSeuJ/BFzMPo
S: 35, W: -10, N: 71, E: 35
Carbon cycle Ecosystem model LPJ-GUESS Land Biogeochemistry Land Surface Terrestrial Ecosystem biosphere modeling carbon flux