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, offering a roadmap for future advancements. It addresses key physical processes such as convection, cloud formation, radiation, land-surface interactions, and the orographic effect. While significant progress has been made in enhancing numerical models for weather and climate predictions globally, several challenging areas remain that require a deeper understanding of physical processes based on observational data. Improving parameterization is crucial, especially as models are increasingly applied at higher horizontal and vertical resolutions. The book promotes discussion on the cloud-resolving approach versus the hybrid method, which combines parameterized convection with grid-scale cloud microphysics, and explores their implications for the intrinsic predictability of models. It serves as a valuable 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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