The reasonable application of Bayesian multi-model averaging to produce gross primary production with high quality in China
收藏NIAID Data Ecosystem2026-03-11 收录
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https://zenodo.org/record/3899604
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资源简介：
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.
创建时间：
2020-06-18
