LPJ-GUESS global hourly NEE for 2018 (generated in 2022)
Object is deprecated
- Latest version(s): zYlOtGd5EPiIu_M_6dLuqg7o
11676/Oy4z13fG4wwMRCwlxQ7wi1uY (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/).
2018-01-01 00:00:00
2018-12-31 23:00:00
hourly
Wu, Z., Miller, P., Mischurow, M. (2021). LPJ-GUESS global hourly NEE for 2018 (generated in 2022), Miscellaneous, https://hdl.handle.net/11676/Oy4z13fG4wwMRCwlxQ7wi1uY
BibTex
@misc{https://hdl.handle.net/11676/Oy4z13fG4wwMRCwlxQ7wi1uY, author={Wu, Zhendong and Miller, Paul and Mischurow, Michael}, title={LPJ-GUESS global hourly NEE for 2018 (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/Oy4z13fG4wwMRCwlxQ7wi1uY}, publisher={Carbon Portal}, copyright={http://meta.icos-cp.eu/ontologies/cpmeta/icosLicence}, pid={11676/Oy4z13fG4wwMRCwlxQ7wi1uY} }
RIS
TY - DATA T1 - LPJ-GUESS global hourly NEE for 2018 (generated in 2022) ID - 11676/Oy4z13fG4wwMRCwlxQ7wi1uY 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/Oy4z13fG4wwMRCwlxQ7wi1uY 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
2 GB (1835939116 bytes)
3
Production
2021-10-03 10:00:00
Previewable variables
Name | Value type | Unit | Quantity kind | Preview |
---|---|---|---|---|
nee | net ecosystem exchange | µmol m-2 s-1 | particle flux | Preview |
Statistics
4
0
Technical information
3b2e33d777c6e30c0c442c25c50ef08b5b9851518143a35d45922052cf4c7c32
Oy4z13fG4wwMRCwlxQ7wi1uYUVGBQ6NdRZIgUs9MfDI
S: -90, W: -180, N: 90, E: 180
Carbon Cycle
Carbon Dioxide
Land Biogeochemistry
Terrestrial Ecosystems
biosphere modeling
carbon flux