ICOS

LPJ-GUESS Europe hourly rtot for 2013

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11676/6R2t6wXeBsbZmJYlEz7GWOHZ (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 European 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 Europe hourly rtot for 2013, Miscellaneous, https://hdl.handle.net/11676/6R2t6wXeBsbZmJYlEz7GWOHZ
BibTex
@misc{https://hdl.handle.net/11676/6R2t6wXeBsbZmJYlEz7GWOHZ,
  author={Wu, Zhendong and Miller, Paul and Mischurow, Michael},
  title={LPJ-GUESS Europe hourly rtot for 2013},
  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 European 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/11676/6R2t6wXeBsbZmJYlEz7GWOHZ},
  publisher={Carbon Portal},
  copyright={http://meta.icos-cp.eu/ontologies/cpmeta/icosLicence},
  pid={11676/6R2t6wXeBsbZmJYlEz7GWOHZ}
}
RIS
TY - DATA
T1 - LPJ-GUESS Europe hourly rtot for 2013
ID - 11676/6R2t6wXeBsbZmJYlEz7GWOHZ
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 European plant functional types (PFTs), soil hydrology and biogeochemistry (Smith et al., 2001, https://web.nateko.lu.se/lpj-guess/).
UR - https://hdl.handle.net/11676/6R2t6wXeBsbZmJYlEz7GWOHZ
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_eu_0.5deg_2013.nc
115 MB (120895186 bytes)
3

Production

2023-06-13 00:00:00

Previewable variables

Name Value type Unit Quantity kind Preview
rtot ecosystem respiration µmol m-2 s-1 particle flux Preview

Statistics

11
0

Submission

2023-06-15 16:25:07
2023-06-15 16:22:43

Technical information

e91dadeb05de06c6d9989625133ec658e1d9f0fa58adc9c8ae72d6e5e410de1b
6R2t6wXeBsbZmJYlEz7GWOHZ8PpYrcnIrnLW5eQQ3hs
S: 35, W: -10, N: 71, E: 35
Carbon Cycle Carbon Dioxide Land Biogeochemistry Terrestrial Ecosystems biosphere modeling carbon flux