LPJ-GUESS global hourly RTOT for 2021 (generated in 2023)
11676/ECDsm7RFqt7ZqUmp9g6V6_ov (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/).
2021-01-01 00:00:00
2021-12-31 23:00:00
hourly
Wu, Z., Miller, P., Mischurow, M. (2023). LPJ-GUESS global hourly RTOT for 2021 (generated in 2023), Miscellaneous, https://hdl.handle.net/11676/ECDsm7RFqt7ZqUmp9g6V6_ov
BibTex
@misc{https://hdl.handle.net/11676/ECDsm7RFqt7ZqUmp9g6V6_ov, author={Wu, Zhendong and Miller, Paul and Mischurow, Michael}, title={LPJ-GUESS global hourly RTOT for 2021 (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/ECDsm7RFqt7ZqUmp9g6V6_ov}, publisher={Carbon Portal}, copyright={http://meta.icos-cp.eu/ontologies/cpmeta/icosLicence}, pid={11676/ECDsm7RFqt7ZqUmp9g6V6_ov} }
RIS
TY - DATA T1 - LPJ-GUESS global hourly RTOT for 2021 (generated in 2023) ID - 11676/ECDsm7RFqt7ZqUmp9g6V6_ov 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/ECDsm7RFqt7ZqUmp9g6V6_ov 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_hrtot_global_0.5deg_2021.nc
1 GB (1588161163 bytes)
3
Production
2023-06-20 00:00:00
Previewable variables
Name | Value type | Unit | Quantity kind | Preview |
---|---|---|---|---|
rtot | ecosystem respiration | µmol m-2 s-1 | particle flux | Preview |
Statistics
6
0
Technical information
1020ec9bb445aaded9a949a9f60e95ebfa2f255f9d3f2e02212aae13ed019707
ECDsm7RFqt7ZqUmp9g6V6/ovJV+dPy4CISquE+0Blwc
S: -90, W: -180, N: 90, E: 180
Carbon Cycle
Carbon Dioxide
Land Biogeochemistry
Terrestrial Ecosystems
biosphere modeling
carbon flux