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Table of contents

  1. Front Matter
    Pages i-xvi
  2. Rodrigo J. Bombardi, Ahmed B. Tawfik, Lawrence Marx, Paul A. Dirmeyer, James L. Kinter III
    Pages 51-70
  3. Andrew Gettelman, Hugh Morrison, Greg Thompson
    Pages 71-94
  4. In-Sik Kang, Min-Seop Ahn
    Pages 139-155
  5. B. B. Goswami, B. Khouider, R. Phani, Parthasarathi Mukhopadhyay, A. J. Majda
    Pages 157-181
  6. R. Krishnan, P. Swapna, Ramesh Vellore, Sandeep Narayanasetti, A. G. Prajeesh, Ayantika Dey Choudhury et al.
    Pages 183-195
  7. Suvarchal K. Cheedela, Brian E. Mapes
    Pages 197-205
  8. Parthasarathi Mukhopadhyay, R. Phani Murali Krishna, S. Abhik, Malay Ganai, Kumar Roy
    Pages 219-229
  9. E. N. Rajagopal, A. K. Mitra, Munmun Das Gupta, John P. George, Raghavendra Ashrit, Abhijit Sarkar et al.
    Pages 231-251
  10. W.-K. Tao, J. Chern, T. Iguchi, S. Lang, M.-I. Lee, X. Li et al.
    Pages 253-316
  11. Yuejian Zhu, Wei Li, Xiaqiong Zhou, Dingchen Hou
    Pages 317-328
  12. A. Pier Siebesma, Jesse Dorrestijn
    Pages 329-347
  13. Dev Niyogi
    Pages 349-370
  14. Back Matter
    Pages 371-372

About this book

Introduction

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.

Keywords

Development of Physical Parameterization Roadmaps for the Future Development Numerical Models for Predicting Weather Cloud Resolving Approach Grid Scale Cloud Microphysics Numerical Models for Predicting Climate Atmospheric modeling

Editors and affiliations

  • David A. Randall
    • 1
  • J. Srinivasan
    • 2
  • Ravi S. Nanjundiah
    • 3
  • Parthasarathi Mukhopadhyay
    • 4
  1. 1.Department of Atmospheric ScienceColorado State UniversityFort CollinsUSA
  2. 2.Centre for Atmospheric and Oceanic SciencesIndian Institute of ScienceBengaluruIndia
  3. 3.Indian Institute of Tropical MeteorologyPuneIndia
  4. 4.Centre for Atmospheric and Oceanic SciencesIndian Institute of ScienceBengaluruIndia

Bibliographic information

  • DOI https://doi.org/10.1007/978-981-13-3396-5
  • Copyright Information Springer Nature Singapore Pte Ltd. 2019
  • Publisher Name Springer, Singapore
  • eBook Packages Earth and Environmental Science
  • Print ISBN 978-981-13-3395-8
  • Online ISBN 978-981-13-3396-5
  • Series Print ISSN 2194-5217
  • Series Online ISSN 2194-5225
  • Buy this book on publisher's site