LPJ-GUESS global hourly RTOT for 2019 (generated in 2022)
Deprecated data
Latest version(s):
MACaxevyht6bK5Yr8j_yTlGg
11676/XvnPk2mjaNYnoHGv-ZaUln7Z (link)
The product is generated in 2021. 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 plant functional types (PFTs), soil hydrology and biogeochemistry (Smith et al., 2001, https://web.nateko.lu.se/lpj-guess/).
2019-01-01 00:00:00
2019-12-31 23:00:00
hourly
Wu, Z., Miller, P., Mischurow, M. (2021). LPJ-GUESS global hourly RTOT for 2019 (generated in 2022), Miscellaneous, https://hdl.handle.net/11676/XvnPk2mjaNYnoHGv-ZaUln7Z
BibTex
@misc{https://hdl.handle.net/11676/XvnPk2mjaNYnoHGv-ZaUln7Z, author={Wu, Zhendong and Miller, Paul and Mischurow, Michael}, title={LPJ-GUESS global hourly RTOT for 2019 (generated in 2022)}, year={2021}, note={The product is generated in 2021. 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 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/XvnPk2mjaNYnoHGv-ZaUln7Z}, publisher={Carbon Portal}, copyright={http://meta.icos-cp.eu/ontologies/cpmeta/icosLicence}, pid={11676/XvnPk2mjaNYnoHGv-ZaUln7Z} }
RIS
TY - DATA T1 - LPJ-GUESS global hourly RTOT for 2019 (generated in 2022) ID - 11676/XvnPk2mjaNYnoHGv-ZaUln7Z PY - 2021 AB - The product is generated in 2021. 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 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/XvnPk2mjaNYnoHGv-ZaUln7Z 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_2019.nc
2 GB (1806812755 bytes)
3
Production
2021-10-03 10:00:00
Previewable variables
Name | Value type | Unit | Quantity kind | Preview |
---|---|---|---|---|
rtot | ecosystem respiration | µmol m-2 s-1 | particle flux | Preview |
Statistics
3
0
Technical information
5ef9cf9369a368d627a071aff99694967ed99c871a0b541673544aeedcbfb5bb
XvnPk2mjaNYnoHGv+ZaUln7ZnIcaC1QWc1RK7ty/tbs
S: -90, W: -180, N: 90, E: 180
Carbon Cycle
Carbon Dioxide
Land Biogeochemistry
Terrestrial Ecosystems
biosphere modeling
carbon flux