LPJ-GUESS global hourly NEE for 2020 (generated in 2023)
11676/TfQGI3i0COpJUnB2Qk77wQj4 (link)
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 global plant functional types (PFTs), soil hydrology and biogeochemistry (Smith et al., 2001, https://web.nateko.lu.se/lpj-guess/).
2020-01-01 00:00:00
2020-12-31 23:00:00
hourly
Wu, Z., Miller, P., Mischurow, M. (2023). LPJ-GUESS global hourly NEE for 2020 (generated in 2023), Miscellaneous, https://hdl.handle.net/11676/TfQGI3i0COpJUnB2Qk77wQj4
BibTex
@misc{https://hdl.handle.net/11676/TfQGI3i0COpJUnB2Qk77wQj4, author={Wu, Zhendong and Miller, Paul and Mischurow, Michael}, title={LPJ-GUESS global hourly NEE for 2020 (generated in 2023)}, year={2023}, note={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 global plant functional types (PFTs), soil hydrology and biogeochemistry (Smith et al., 2001, https://web.nateko.lu.se/lpj-guess/).}, keywords={Carbon Dioxide, Carbon Cycle, Land Biogeochemistry, Terrestrial Ecosystems}, url={https://hdl.handle.net/11676/TfQGI3i0COpJUnB2Qk77wQj4}, publisher={Carbon Portal}, copyright={http://meta.icos-cp.eu/ontologies/cpmeta/icosLicence}, pid={11676/TfQGI3i0COpJUnB2Qk77wQj4} }
RIS
TY - DATA T1 - LPJ-GUESS global hourly NEE for 2020 (generated in 2023) ID - 11676/TfQGI3i0COpJUnB2Qk77wQj4 PY - 2023 AB - 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 global plant functional types (PFTs), soil hydrology and biogeochemistry (Smith et al., 2001, https://web.nateko.lu.se/lpj-guess/). UR - https://hdl.handle.net/11676/TfQGI3i0COpJUnB2Qk77wQj4 PB - Carbon Portal AU - Wu, Zhendong AU - Miller, Paul AU - Mischurow, Michael KW - Carbon Dioxide KW - Carbon Cycle KW - Land Biogeochemistry KW - Terrestrial Ecosystems ER -
conv_lpj_hnee_global_0.5deg_2020.nc
2 GB (1626576634 bytes)
3
Production
2023-06-20 00:00:00
Previewable variables
Name | Value type | Unit | Quantity kind | Preview |
---|---|---|---|---|
nee | net ecosystem exchange | µmol m-2 s-1 | particle flux | Preview |
Statistics
11
1
Technical information
4df4062378b408ea49527076424efbc108f85f81e3574a2107bca919f1f18e3d
TfQGI3i0COpJUnB2Qk77wQj4X4HjV0ohB7ypGfHxjj0
S: -90, W: -180, N: 90, E: 180
Carbon Cycle
Carbon Dioxide
Land Biogeochemistry
Terrestrial Ecosystems
biosphere modeling
carbon flux