Version 1.0

Global hourly NEE, GPP and total respiration for 2017-2020 based on LPJ-GUESS (generated in 2021)

Unknown Author

Description

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) 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/).

Citations (0)

No citations found

It looks like this dataset has no citations.

Mentions (0)

No mentions found

It looks like this dataset has not been mentioned in any sources.

Metrics

Dataset Index

0.8

FAIR Score

92%

Citations

Mentions

Metrics Over Time

Publication Details

DOI

10.18160/az1g-qxxu

Publisher

ICOS ERIC - Carbon Portal

License

Creative Commons Attribution 4.0 International

Assigned Domain

Subfield

Global and Planetary Change

Field

Environmental Science

Domain

Physical Sciences

Confidence Score

43%

Source

Scholar Data Model

Keywords

Terrestrial EcosystemsLand BiogeochemistryLand SurfaceCarbon cycle

Normalization Factors

40.38

CTw

1.00

MTw

1.00