Titlebook: Current Trends in the Representation of Physical Processes in Weather and Climate Models; David A. Randall,J. Srinivasan, Parthasarathi Mu

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Difficulties in the Subgrid-Scale Redistribution of Moisture of a Global Cloud-Resolving Model,resolution global simulations have been beneficial not only to advance our knowledge of organized cloud systems but also to give various hints on improvements of traditional global models that depend on a kind of cumulus parameterization, explicit computations of cloud microphysics cannot necessaril

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Processes

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Microphysics in Goddard Multi-scale Modeling Systems: A Review,ncreasingly more sophisticated physical parameterizations. The representation of cloud microphysical processes is one of the key components of these models. In addition, over the past decade, both research and operational numerical weather prediction models have started using more complex microphysi

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New Pathways for Moist Convection Parameterisation,models. The shortcomings of this approach will be discussed, especially for higher resolutions where standard assumptions such as quasi-equilibrium start to break down. New pathways that use a stochastic approach and are scale aware will be discussed. These will also allow to incorporate the effect

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Land Surface Processes,k for the land surface and land–atmosphere coupling processes. This is followed by a discussion regarding the role and the need for improving land feedbacks within multiscale models and processes. In particular, the role of land surface models in providing surface boundary conditions within numerica

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Current Trends in the Representation of Physical Processes in Weather and Climate Models978-981-13-3396-5Series ISSN 2194-5217 Series E-ISSN 2194-5225

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https://doi.org/10.1007/978-3-662-61766-3nd joint probability distribution—have not received much scrutiny, let alone validation against actual observations. This leads to some very problematic inconsistencies, which are described in this chapter, along with guidance on approaches to resolve them objectively.

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