ICOS

Global hourly NPP for 2014 based on LPJ-GUESS (generated in 2024)

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10.18160/WRN4-1DV6 (target, metadata)
11676/NYU_xhJFjeS17FiSGOBjxA2N (link)
The product is generated in 2024. LPJ-GUESS (version 4.0, revision 6562) is forced with hourly ERA5 climate datasets to simulate global terrestrial CO2 flux at a resolution of 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/). This simulation models natural fluxes, such as those from vegetation and soil under climate change, via natural processes such as biomass allocation, growth, reproduction, establishment, mortality, and disturbance. This means it does not include anthropogenic activities, such as forest management or agricultural management. The positive value means CO2 uptake from the atmosphere, and the negative value means CO2 release to the atmosphere.
2014-01-01 00:00:00
2014-12-31 23:00:00
hourly
Wu, Z., Michurow, M., Miller, P., 2024. Global hourly NEP, NPP, GPP and heterotrophic respiration for 2010-2023 based on LPJ-GUESS (generated in 2024). https://doi.org/10.18160/WRN4-1DV6
BibTex
@misc{https://doi.org/10.18160/wrn4-1dv6,
  doi = {10.18160/WRN4-1DV6},
  url = {https://meta.icos-cp.eu/collections/E8EEk4983j5zltui3qw7HQQX},
  author = {Wu, Zhendong and Michurow, Michael and Miller, Paul},
  keywords = {Terrestrial Ecosystems, Land Biogeochemistry, Land Surface, Carbon cycle},
  title = {Global hourly NEP, NPP, GPP and heterotrophic respiration for 2010-2023 based on LPJ-GUESS (generated in 2024)},
  publisher = {ICOS ERIC - Carbon Portal},
  year = {2024},
  copyright = {CC BY 4.0}
}
RIS
TY  - DATA
T1  - Global hourly NEP, NPP, GPP and heterotrophic respiration for 2010-2023 based on LPJ-GUESS (generated in 2024)
AU  - Wu, Zhendong
AU  - Michurow, Michael
AU  - Miller, Paul
DO  - 10.18160/WRN4-1DV6
UR  - https://meta.icos-cp.eu/collections/E8EEk4983j5zltui3qw7HQQX
AB  - The product is generated in 2024. LPJ-GUESS (version 4.0, revision 6562) is forced with hourly ERA5 climate datasets to simulate global terrestrial CO2 flux at a resolution of 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/). This simulation models natural fluxes, such as those from vegetation and soil under climate change, via natural processes such as biomass allocation, growth, reproduction, establishment, mortality, and disturbance. This means it does not include anthropogenic activities, such as forest management or agricultural management. The positive value means CO2 uptake from the atmosphere, and the negative value means CO2 release to the atmosphere.
KW  - Terrestrial Ecosystems
KW  - Land Biogeochemistry
KW  - Land Surface
KW  - Carbon cycle
PY  - 2024
PB  - ICOS ERIC - Carbon Portal
ER  -
conv_lpj_hnpp_global_0.5deg_2014.nc
1 GB (1587367086 bytes)
3

Production

2024-06-03 11:00:00
NPP is defined as the difference between GPP and autotrophic respiration, and measures the net production or accumulation of dry matter in plants over a period. Positive values are fluxes into the biosphere

Previewable variables

Name Value type Unit Quantity kind Preview
npp net primary production μmol m-2 s-1 particle flux Preview

Statistics

1
0

Submission

2024-07-03 16:16:29
2024-07-03 15:34:32

Technical information

35853fc612458de4b5ec589218e063c40d8df72298daa9b62773c88d09bb2151
NYU/xhJFjeS17FiSGOBjxA2N9yKY2qm2J3PIjQm7IVE
S: -90, W: -180, N: 90, E: 180
Carbon cycle Ecosystem model LPJ-GUESS Land Biogeochemistry Land Surface Terrestrial Ecosystem biosphere modeling carbon flux