zenodoopen
The reasonable application of Bayesian multi-model averaging to produce gross primary production with high quality in China
<p>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.</p>
ShareScore
36/100
Overall dataset sharing score
Score breakdown
These five areas show where the dataset supports — or may limit — practical reuse.
- Stewardship
- 8
- Harmonization
- 4
- Access
- 16
- Reuse readiness
- 8
- Engagement
- 0