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| David A. Randall, J. Srinivasan, Ravi S. Nanjundiah, Parthasarathi Mukhopadhyay | ||||
| Springer Atmospheric Sciences | ||||
| Springer Singapore | ||||
| 2019 | ||||
| English | ||||
| 372 pages | ||||
| 27.35 MB | ||||
[tab] [content title="Summary"] This book examines the evolution of physical parameterization over the past two to three decades and outlines a roadmap for its future advancements. It addresses key physical processes such as convection, clouds, radiation, land-surface interactions, and the orographic effect. Globally, there has been significant progress in enhancing numerical models for weather and climate predictions across various locations and times. Nonetheless, several challenging areas remain, requiring a deeper understanding of physical processes through observations, which should then inform improved parameterization. This need is particularly crucial as models are increasingly utilized at higher horizontal and vertical resolutions. By fostering discussion on the cloud-resolving approach versus the hybrid method that combines parameterized convection with grid-scale cloud microphysics and its implications for the intrinsic predictability of models, the book serves as an inspiring reference for researchers engaged in physical parameterization issues and numerical modeling. [/content] [content title="Content"] [/content] [content title="Author(s)"] [/content] [/tab]
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