LPJ-GUESS global hourly NEE for 2017
Deprecated data
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11676/yUsFQCX9GsEEW51xwleFE_0g (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) 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/).
2017-01-01 00:00:00
2017-12-31 23:00:00
hourly
Wu, Z., Miller, P., Mischurow, M. (2020). LPJ-GUESS global hourly NEE for 2017, Miscellaneous, https://hdl.handle.net/11676/yUsFQCX9GsEEW51xwleFE_0g
BibTex
@misc{https://hdl.handle.net/11676/yUsFQCX9GsEEW51xwleFE_0g, author={Wu, Zhendong and Miller, Paul and Mischurow, Michael}, title={LPJ-GUESS global hourly NEE for 2017}, year={2020}, 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) 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/yUsFQCX9GsEEW51xwleFE_0g}, publisher={Carbon Portal}, copyright={http://meta.icos-cp.eu/ontologies/cpmeta/icosLicence}, pid={11676/yUsFQCX9GsEEW51xwleFE_0g} }
RIS
TY - DATA T1 - LPJ-GUESS global hourly NEE for 2017 ID - 11676/yUsFQCX9GsEEW51xwleFE_0g PY - 2020 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) 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/yUsFQCX9GsEEW51xwleFE_0g 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_0.50deg_2017.nc
2 GB (1833702356 bytes)
3
Production
2020-05-01 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
13
1
Technical information
c94b054025fd1ac1045b9d71c2578513fd208640caf21459afc959bbc05687fc
yUsFQCX9GsEEW51xwleFE/0ghkDK8hRZr8lZu8BWh/w
S: -90, W: -180, N: 90, E: 180
Carbon Cycle
Carbon Dioxide
Land Biogeochemistry
Terrestrial Ecosystems
biosphere modeling
carbon flux