LPJ-GUESS global hourly NEE for 2018 (generated in 2023)
11676/zYlOtGd5EPiIu_M_6dLuqg7o (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/).
2018-01-01 00:00:00
2018-12-31 23:00:00
hourly
Wu, Z., Miller, P., Mischurow, M. (2023). LPJ-GUESS global hourly NEE for 2018 (generated in 2023), Miscellaneous, https://hdl.handle.net/11676/zYlOtGd5EPiIu_M_6dLuqg7o
BibTex
@misc{https://hdl.handle.net/11676/zYlOtGd5EPiIu_M_6dLuqg7o, author={Wu, Zhendong and Miller, Paul and Mischurow, Michael}, title={LPJ-GUESS global hourly NEE for 2018 (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/zYlOtGd5EPiIu_M_6dLuqg7o}, publisher={Carbon Portal}, copyright={http://meta.icos-cp.eu/ontologies/cpmeta/icosLicence}, pid={11676/zYlOtGd5EPiIu_M_6dLuqg7o} }
RIS
TY - DATA T1 - LPJ-GUESS global hourly NEE for 2018 (generated in 2023) ID - 11676/zYlOtGd5EPiIu_M_6dLuqg7o 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/zYlOtGd5EPiIu_M_6dLuqg7o 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_2018.nc
1 GB (1602736643 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
23
2
Technical information
cd894eb4677910f888bbf33fe9d2eeaa0ee8d97eb2708c6f5a5c321cb6e5354e
zYlOtGd5EPiIu/M/6dLuqg7o2X6ycIxvWlwyHLblNU4
S: -90, W: -180, N: 90, E: 180
Carbon Cycle
Carbon Dioxide
Land Biogeochemistry
Terrestrial Ecosystems
biosphere modeling
carbon flux