Global Climate Model Ensemble Approaches for Future Projections of Atmospheric Rivers
Abstract Atmospheric rivers (ARs) are narrow jets of integrated water vapor transport that are important for the global water cycle and also have large impacts on local weather and regional hydrology. Uniformly weighted multi‐model averages have been used to describe how ARs will change in the futur...
Main Authors: | E.C. Massoud, V. Espinoza, B. Guan, D.E. Waliser |
---|---|
Format: | Article |
Language: | English |
Published: |
American Geophysical Union (AGU)
2019-10-01
|
Series: | Earth's Future |
Subjects: | |
Online Access: | https://doi.org/10.1029/2019EF001249 |
Similar Items
-
Integrating Climatic and Physical Information in a Bayesian Hierarchical Model of Extreme Daily Precipitation
by: Charlotte A. Love, et al.
Published: (2020-08-01) -
Multi-Model Grand Ensemble Hydrologic Forecasting in the Fu River Basin Using Bayesian Model Averaging
by: Bo Qu, et al.
Published: (2017-01-01) -
Comparing Bayesian Model Averaging and Reliability Ensemble Averaging in Post-Processing Runoff Projections under Climate Change
by: Kai Duan, et al.
Published: (2021-08-01) -
The Effect of Statistical Downscaling on the Weighting of Multi-Model Ensembles of Precipitation
by: Adrienne M. Wootten, et al.
Published: (2020-11-01) -
A Time-Varying Bayesian Compressed Vector Autoregression for Macroeconomic Forecasting
by: Nattapol Aunsri, et al.
Published: (2020-01-01)