Improving the simulation of terrestrial water storage anomalies over China using a Bayesian model averaging ensemble approach
The ability to estimate terrestrial water storage (TWS) is essential for monitoring hydrological extremes (e.g., droughts and floods) and predicting future changes in the hydrological cycle. However, inadequacies in model physics and parameters, as well as uncertainties in meteorological forcing dat...
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
KeAi Communications Co., Ltd.
2018-07-01
|
| Series: | Atmospheric and Oceanic Science Letters |
| Subjects: | |
| Online Access: | http://dx.doi.org/10.1080/16742834.2018.1484656 |