Published June 18, 2020
| Version v1
Dataset
Open
The reasonable application of Bayesian multi-model averaging to produce gross primary production with high quality in China
Authors/Creators
- 1. Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences
Description
To reduce the uncertainties of output data from the Multi-scale Terrestrial Model Intercomparison Project (MsTMIP), Bayesian Model Averaging (BMA) was trained by observed GPP from ChinaFLUX and a set of monthly 0.5° by 0.5° GPP data from 1948 to 2010 for China was produced.
Files
Files
(66.1 MB)
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