Using Bayesian model averaging to estimate terrestrial evapotranspiration in China

By Yang Chen, W. Yuan, J. Xia, Joshua B. Fisher, W. Dong, Xiaotong Zhang, Shunlin Liang, Aizhong Ye, W. Cai, Jinming Feng. 2015

84 citations recorded by the source corpus.

Subfields: Global and Planetary Change, Ocean Engineering, Water Science and Technology

View Paper: https://www.semanticscholar.org/paper/323e5372f87ee68d6a971b8944d7b28069378138

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

1. Jinzhu Ma
2. Ronghua Liu
3. Kun Zhang
4. Chunlin Huang
5. Yuan Yang
6. Z. Ding
7. Ting Ma
8. Yang Hong

Citations in the corpus

• Performance of Optimally Merged Multisatellite Precipitation Products Using the Dynamic Bayesian Model Averaging Scheme Over the Tibetan Plateau (2017, methodology): “Chen et al. (2015) reported that the poorly performing members might decrease the ensemble accuracy of the ensemble data with regard to the BMA scheme.”
• Multi‐model ensemble prediction of terrestrial evapotranspiration across north China using Bayesian model averaging (2016, methodology): “The results indicated that the BMA method can generally outperforms the best individual model, and provides a useful tool for generating a long-term regional/global terrestrial ET product (Yao et al., 2014; Chen et al., 2015).”