Memory Properties in Cloud‐Resolving Simulations of the Diurnal Cycle of Deep Convection

Author:

Daleu C. L.1ORCID,Plant R. S.1ORCID,Woolnough S. J.2ORCID,Stirling A. J.3,Harvey N. J.1

Affiliation:

1. Department of Meteorology University of Reading Reading UK

2. National Centre for Atmospheric Science, Department of Meteorology University of Reading Reading UK

3. Met Office Exeter UK

Funder

Natural Environment Research Council

Publisher

American Geophysical Union (AGU)

Subject

General Earth and Planetary Sciences,Environmental Chemistry,Global and Planetary Change

Cited by 9 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Diurnal cycle of precipitation in Brazil;Theoretical and Applied Climatology;2024-07-11

2. The use of idealised experiments in testing a new convective parametrization: Performance of CoMorph‐A;Quarterly Journal of the Royal Meteorological Society;2024-02

3. Diurnal cycle of precipitation over the tropics and central United States: intercomparison of general circulation models;Quarterly Journal of the Royal Meteorological Society;2024-01-08

4. Assessing Memory in Convection Schemes Using Idealized Tests;Journal of Advances in Modeling Earth Systems;2023-11-30

5. Evaluating the CoMorph‐A parametrization using idealized simulations of the two‐way coupling between convection and large‐scale dynamics;Quarterly Journal of the Royal Meteorological Society;2023-09-12

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