LPJ-GUESS global hourly NEE for 2021 (generated in 2022)
Deprecated data
Latest version(s):
etxKIDMziYo5fRXb91aXotED
11676/IF6-H6teSJiGn6fA-tC9gyet (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/).
2021-01-01 00:00:00
2021-12-31 23:00:00
hourly
Wu, Z., Miller, P., Mischurow, M. (2021). LPJ-GUESS global hourly NEE for 2021 (generated in 2022), Miscellaneous, https://hdl.handle.net/11676/IF6-H6teSJiGn6fA-tC9gyet
BibTex
@misc{https://hdl.handle.net/11676/IF6-H6teSJiGn6fA-tC9gyet, author={Wu, Zhendong and Miller, Paul and Mischurow, Michael}, title={LPJ-GUESS global hourly NEE for 2021 (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/IF6-H6teSJiGn6fA-tC9gyet}, publisher={Carbon Portal}, copyright={http://meta.icos-cp.eu/ontologies/cpmeta/icosLicence}, pid={11676/IF6-H6teSJiGn6fA-tC9gyet} }
RIS
TY - DATA T1 - LPJ-GUESS global hourly NEE for 2021 (generated in 2022) ID - 11676/IF6-H6teSJiGn6fA-tC9gyet 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/IF6-H6teSJiGn6fA-tC9gyet 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_2021.nc
2 GB (1835190265 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
7
4
Technical information
205ebe1fab5e4898869fa7c0fad0bd8327ad6a7071650bdab0a367bfb9e1c8dc
IF6+H6teSJiGn6fA+tC9gyetanBxZQvasKNnv7nhyNw
S: -90, W: -180, N: 90, E: 180
Carbon Cycle
Carbon Dioxide
Land Biogeochemistry
Terrestrial Ecosystems
biosphere modeling
carbon flux