Introduction. Stochastic physics and climate modelling.
Finite computing resources limit the spatial resolution of state-of-the-art global climate simulations to hundreds of kilometres. In neither the atmosphere nor the ocean are small-scale processes such as convection, clouds and ocean eddies properly represented. Climate simulations are known to depen...
| Main Authors: | , |
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| Formato: | Journal article |
| Idioma: | English |
| Publicado em: |
2008
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| _version_ | 1826264496655564800 |
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| author | Palmer, T Williams, P |
| author_facet | Palmer, T Williams, P |
| author_sort | Palmer, T |
| collection | OXFORD |
| description | Finite computing resources limit the spatial resolution of state-of-the-art global climate simulations to hundreds of kilometres. In neither the atmosphere nor the ocean are small-scale processes such as convection, clouds and ocean eddies properly represented. Climate simulations are known to depend, sometimes quite strongly, on the resulting bulk-formula representation of unresolved processes. Stochastic physics schemes within weather and climate models have the potential to represent the dynamical effects of unresolved scales in ways which conventional bulk-formula representations are incapable of so doing. The application of stochastic physics to climate modelling is a rapidly advancing, important and innovative topic. The latest research findings are gathered together in the Theme Issue for which this paper serves as the introduction. |
| first_indexed | 2024-03-06T20:08:45Z |
| format | Journal article |
| id | oxford-uuid:29d0ac9e-539c-4221-b11f-574f881c0847 |
| institution | University of Oxford |
| language | English |
| last_indexed | 2024-03-06T20:08:45Z |
| publishDate | 2008 |
| record_format | dspace |
| spelling | oxford-uuid:29d0ac9e-539c-4221-b11f-574f881c08472022-03-26T12:21:25ZIntroduction. Stochastic physics and climate modelling.Journal articlehttp://purl.org/coar/resource_type/c_dcae04bcuuid:29d0ac9e-539c-4221-b11f-574f881c0847EnglishSymplectic Elements at Oxford2008Palmer, TWilliams, PFinite computing resources limit the spatial resolution of state-of-the-art global climate simulations to hundreds of kilometres. In neither the atmosphere nor the ocean are small-scale processes such as convection, clouds and ocean eddies properly represented. Climate simulations are known to depend, sometimes quite strongly, on the resulting bulk-formula representation of unresolved processes. Stochastic physics schemes within weather and climate models have the potential to represent the dynamical effects of unresolved scales in ways which conventional bulk-formula representations are incapable of so doing. The application of stochastic physics to climate modelling is a rapidly advancing, important and innovative topic. The latest research findings are gathered together in the Theme Issue for which this paper serves as the introduction. |
| spellingShingle | Palmer, T Williams, P Introduction. Stochastic physics and climate modelling. |
| title | Introduction. Stochastic physics and climate modelling. |
| title_full | Introduction. Stochastic physics and climate modelling. |
| title_fullStr | Introduction. Stochastic physics and climate modelling. |
| title_full_unstemmed | Introduction. Stochastic physics and climate modelling. |
| title_short | Introduction. Stochastic physics and climate modelling. |
| title_sort | introduction stochastic physics and climate modelling |
| work_keys_str_mv | AT palmert introductionstochasticphysicsandclimatemodelling AT williamsp introductionstochasticphysicsandclimatemodelling |