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Collection of Papers Presented at the Indo-US Seminar on Parameterization of Sub-grid Scale Processes in Dynamical Models of Medium Range Prediction and Global Climate, IITM, Pune, India, 6-10 August 1990

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The cover of “Physical Processes in Atmospheric Models” - Google Books.

"Physical Processes in Atmospheric Models" was published by Wiley in 1992 - New York, the book is classified in Nature genre, it has 586 pages and the language of the book is English.


“Physical Processes in Atmospheric Models” Metadata:

  • Title: ➤  Physical Processes in Atmospheric Models
  • Author: ➤  
  • Language: English
  • Number of Pages: 586
  • Is Family Friendly: Yes - No Mature Content
  • Publisher: Wiley
  • Publish Date:
  • Publish Location: New York
  • Genres: Nature

“Physical Processes in Atmospheric Models” Subjects and Themes:

Edition Specifications:

  • Pagination: vii, 586 p. :

Edition Identifiers:

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Snippets and Summary:

This book presents the recent work of Indian and US Scientists who are specialists in the area of parameterization of physical processes in atmospheric models.

"Physical Processes in Atmospheric Models" Description:

Google Books:

This book presents the recent work of Indian and US Scientists who are specialists in the area of parameterization of physical processes in atmospheric models. Examples of the physical processes that are taking place in the atmosphere are the cumulus convection, boundary layer processes, mountain drag, radiation, air-sea interaction and land surface processes. Each physical processes have distinct horizontal and vertical scales. The horizontal scales of physical processes are in the range of 1 km and less while weather producing systems have at the lower end horizontal scale of a few hundred kilometres. It is therefore not possible to monitor observationally physical processes on operational basis. The objective of parameterization of physical processes is to express their effects on weather producing synoptic systems in terms of large scale parameters. The improved schemes of physical processes have contributed significantly to extend the range of prediction in mid-latitude say up to 6-7 days. However, our ability to predict monsoon beyond 2-3 days is less. This is partly due to deficiency in existing parameterization schemes of physical processes in addition to data gap. The papers presented in this volume though applicable to the atmospheric models in general, they become more relevant to monsoon forecasting in view of the considerable efforts now being made on dynamical prediction of monsoon.

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