Sanjaya Kumar Panda (ed.); Rashmi Ranjan Rout (ed.); Manjubala Bisi (ed.); Ravi Chandra Sadam (ed.); Kuan-Ching Li (ed.) Springer (2024) Pehmeäkantinen kirja
Vikrant Bhateja (ed.); Suresh Chandra Satapathy (ed.); Carlos M. Travieso-González (ed.); V. N. Manjunath Aradhya (ed.) Springer (2021) Pehmeäkantinen kirja
Ravindra B. Bapat (ed.); Manjunatha Prasad Karantha (ed.); Stephen J. Kirkland (ed.); Samir Kumar Neogy (ed.); Sukanta Pati Springer (2023) Kovakantinen kirja
Ravindra B. Bapat (ed.); Manjunatha Prasad Karantha (ed.); Stephen J. Kirkland (ed.); Samir Kumar Neogy (ed.); Sukanta Pati Springer (2024) Pehmeäkantinen kirja
This book focuses on the development of physical parameterization over the last 2 to 3 decades and provides a roadmap for its future development. It covers important physical processes: convection, clouds, radiation, land-surface, and the orographic effect. The improvement of numerical models for predicting weather and climate at a variety of places and times has progressed globally. However, there are still several challenging areas, which need to be addressed with a better understanding of physical processes based on observations, and to subsequently be taken into account by means of improved parameterization. And this is all the more important since models are increasingly being used at higher horizontal and vertical resolutions. Encouraging debate on the cloud-resolving approach or the hybrid approach with parameterized convection and grid-scale cloud microphysics and its impact on models’ intrinsic predictability, the book offers a motivating reference guide for all researchers whose work involves physical parameterization problems and numerical models.
