Thesis
Improving subseasonal to seasonal rainfall forecasts in Central America using dynamic model ensembles
- Abstract:
-
Hydrometeorological hazards such as droughts and floods can have devastating consequences. Central America is one region at risk of hydrometeorological extremes impacts, which will likely increase under human-induced climate change. Physically-based subseasonal to seasonal (S2S) rainfall forecasts from Atmospheric Oceanic General Circulation Models (AOGCMs) can be used to inform anticipatory actions from multiple weeks to several months ahead. Multiple AOGCMs can be combined into multi-mod...
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Authors
Contributors
+ Birkel, C
- Institution:
- University of Costa Rica
- Research group:
- Department of Geography
- Role:
- Contributor
+ García-López, A
- Institution:
- Columbia University
- Research group:
- Department of Earth and Environmental Sciences
- Role:
- Contributor
+ Li, S
- Institution:
- Sheffield University
- Research group:
- Department of Geography
- Role:
- Contributor
+ Kelder, T
- Institution:
- Climate Adaptation Services
- Role:
- Contributor
+ Hall, K
- Institution:
- NOAA Physical Sciences Laboratory
- Research group:
- Modelling and Data Assimilation
- Role:
- Contributor
+ Rhodes Trust
More from this funder
- Funder identifier:
- https://ror.org/04v48nr57
- Funding agency for:
- Kowal, K
- DOI:
- Type of award:
- DPhil
- Level of award:
- Doctoral
- Awarding institution:
- University of Oxford
- Language:
-
English
- Keywords:
- Subjects:
- Deposit date:
-
2024-01-06
Terms of use
- Copyright holder:
- Katherine McCarthy Kowal
- Copyright date:
- 2023
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