A Climate Modelling Primer 在线电子书 pdf 下载 txt下载 epub 下载 mobi 下载 2024


A Climate Modelling Primer

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Mcguffie, Kendal/ Henderson-Sellers, Ann 作者
John Wiley & Sons Inc
译者
2005-3 出版日期
296 页数
687.00元 价格
Pap
丛书系列
9780470857519 图书编码

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发表于2024-09-18


A Climate Modelling Primer 在线电子书 epub 下载 mobi 下载 pdf 下载 txt 下载 2024

A Climate Modelling Primer 在线电子书 epub 下载 mobi 下载 pdf 下载 txt 下载 2024

A Climate Modelling Primer 在线电子书 pdf 下载 txt下载 epub 下载 mobi 下载 2024



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As a consequence of recent increased awareness of the social and political dimensions of climate, many non-specialists discover a need for information about the variety of available climate models. A Climate Modelling Primer, Third Edition explains the basis and mechanisms of all types of current physically-based climate models. A thoroughly revised and updated edition, this book assists the reader in understanding the complexities and applicabilities of today’s wide range of climate models. Topics covered include the latest techniques for modelling the coupled biosphere-ocean-atmosphere system, information on current practical aspects of climate modelling and ways to evaluate and exploit the results, discussion of Earth System Models of Intermediate Complexity (EMICs), and interactive exercises based on Energy Balance Model (EBM) and the Daisyworld model. Source codes and results from a range of model types allows readers to make their own climate simulations and to view the results of the latest high resolution models. The accompanying CD contains: A suite of resources for those wishing to learn more about climate modelling. A range of model visualisations. Data from climate models for use in the classroom. Windows and Macintosh programs for an Energy Balance Model. Selected figures from the book for inclusion in presentations and lectures.Suitable for 3 rd /4 th year undergraduates taking courses in climate modelling, economic forecasting, computer science, environmental science, geography and oceanography. Also of relevance to researchers and professionals working in related disciplines with climate models or who need accessible technical background to climate modelling predictions.

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