Thesis
Stochastic parametrisation and model uncertainty
- Abstract:
-
Representing model uncertainty in atmospheric simulators is essential for the production of reliable probabilistic forecasts, and stochastic parametrisation schemes have been proposed for this purpose. Such schemes have been shown to improve the skill of ensemble forecasts, resulting in a growing use of stochastic parametrisation schemes in numerical weather prediction. However, little research has explicitly tested the ability of stochastic parametrisations to represent model uncertainty,...
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Authors
Contributors
+ Palmer, T
Division:
MPLS
Department:
Physics
Sub department:
Atmos Ocean & Planet Physics
Role:
Supervisor
+ Moroz, I
Division:
MPLS
Department:
Physics
Sub department:
Atmos Ocean & Planet Physics
Role:
Supervisor
Funding
Bibliographic Details
- Publication date:
- 2013
- Type of award:
- DPhil
- Level of award:
- Doctoral
- Awarding institution:
- Oxford University, UK
Item Description
- Language:
- English
- Keywords:
- Subjects:
- UUID:
-
uuid:6af40a12-d0fa-44b2-9c18-99e0526062c5
- Local pid:
- ora:9518
- Deposit date:
- 2014-12-04
Terms of use
- Copyright holder:
- Arnold, H
- Copyright date:
- 2013
- Notes:
- This thesis is not currently available in ORA.
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