Fast processes in large scale atmospheric models : progress, challenges, and opportunities /

Computer models are the key tools used to predict climate and weather conditions, and the changes associated with human activities. Many physical processes that influence Earth's climate and weather occur on spatial scales shorter than typical global climate model grid sizes, and these processe...

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Bibliographic Details
Other Authors: Liu, Yangang (Editor), Kollias, Pavlos (Editor)
Format: Book
Language:English
Published: Hoboken, New Jersey : John Wiley and Sons, [2024].
Series:Geophysical monograph ; 282.
Subjects:
Description
Summary:Computer models are the key tools used to predict climate and weather conditions, and the changes associated with human activities. Many physical processes that influence Earth's climate and weather occur on spatial scales shorter than typical global climate model grid sizes, and these processes must be parameterized in large scale models, e.g., microphysics, convection, boundary layer processes, radiation, subgrid variability and process interactions. These subgrid processes are collectively called fast physics. Fast Physics in Large Scale Atmospheric Models: Parameterization, Evaluation, and Observations focuses on development of these so-called fast physics parameterizations and evaluates them against observations which are essential to climate studies and model development, requiring integration from observations to theories to models.
Item Description:"This work is a co-publication of the American Geophysical Union and John Wiley and Sons, Inc."
Physical Description:xi, 461 pages : illustrations (some color) ; 29 cm.
Bibliography:Includes bibliographical references and index.
ISBN:9781119528999
1119528992