Thesis
Modeling the uncertainty of atmospheric convection triggering in climate models
- Abstract:
-
By transporting mass and energy through the troposphere and producing clouds and precipitation, atmospheric convection plays an important role in Earth’s climate system. Since convection occurs at spatial scales smaller than the resolution of typical weather and climate models, its subgrid effects are represented through parameterizations. An important part of the convection parameterization is the convection trigger, which determines where and when convection occurs in the model. However, co...
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Authors
Contributors
+ Christensen, H
- Institution:
- University of Oxford
- Division:
- MPLS
- Department:
- Physics
- Sub department:
- Atmos Ocean & Planet Physics
- Role:
- Supervisor
- ORCID:
- 0000-0001-8244-0218
+ Stier, P
- Institution:
- University of Oxford
- Division:
- MPLS
- Department:
- Physics
- Sub department:
- Atmos Ocean & Planet Physics
- Role:
- Supervisor
- ORCID:
- 0000-0002-1191-0128
+ U.K. National Environmental Research Council
More from this funder
- Funding agency for:
- Miller, GA
- Grant:
- NE/S007474/1
- DOI:
- Type of award:
- DPhil
- Level of award:
- Doctoral
- Awarding institution:
- University of Oxford
- Language:
-
English
- Deposit date:
-
2026-11-05
- ARK identifier:
Terms of use
- Copyright holder:
- Greta A. Miller
- Copyright date:
- 2025
- Notes:
- Characterizing uncertainty in deep convection triggering using explainable machine learning is derived from this thesis.
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