LPJ-GUESS global hourly GPP for 2013 (generated in 2023)
Deprecated data
Latest version(s):
xZV1bh2mn3YSfDeLlxCuj6OY
11676/18LjjmC1YIjgKD7nSzu6Gy6a (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/).
2013-01-01 00:00:00
2013-12-31 23:00:00
hourly
Wu, Z., Miller, P., Mischurow, M. (2023). LPJ-GUESS global hourly GPP for 2013 (generated in 2023), Miscellaneous, https://hdl.handle.net/11676/18LjjmC1YIjgKD7nSzu6Gy6a
BibTex
@misc{https://hdl.handle.net/11676/18LjjmC1YIjgKD7nSzu6Gy6a, author={Wu, Zhendong and Miller, Paul and Mischurow, Michael}, title={LPJ-GUESS global hourly GPP for 2013 (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/11676/18LjjmC1YIjgKD7nSzu6Gy6a}, publisher={Carbon Portal}, copyright={http://meta.icos-cp.eu/ontologies/cpmeta/icosLicence}, pid={11676/18LjjmC1YIjgKD7nSzu6Gy6a} }
RIS
TY - DATA T1 - LPJ-GUESS global hourly GPP for 2013 (generated in 2023) ID - 11676/18LjjmC1YIjgKD7nSzu6Gy6a 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/11676/18LjjmC1YIjgKD7nSzu6Gy6a 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_hgpp_global_0.5deg_2013.nc
859 MB (901218130 bytes)
3
Production
2023-06-20 00:00:00
Previewable variables
Name | Value type | Unit | Quantity kind | Preview |
---|---|---|---|---|
gpp | gross primary CO2 production | µmol m-2 s-1 | particle flux | Preview |
Statistics
10
0
Technical information
d7c2e38e60b56088e0283ee74b3bba1b2e9ae7c9e562bb9992d36aa3e11af1c4
18LjjmC1YIjgKD7nSzu6Gy6a58nlYruZktNqo+Ea8cQ
S: -90, W: -180, N: 90, E: 180
Carbon Cycle
Carbon Dioxide
Land Biogeochemistry
Terrestrial Ecosystems
biosphere modeling
carbon flux