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Titlebook: Climate Change Modeling Methodology; Selected Entries fro Philip J. Rasch Book 2012 Springer Science+Business Media New York 2012 Atmospher

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發(fā)表于 2025-3-21 18:11:36 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Climate Change Modeling Methodology
副標(biāo)題Selected Entries fro
編輯Philip J. Rasch
視頻videohttp://file.papertrans.cn/228/227425/227425.mp4
概述Features authoritative, peer-reviewed contributions on the development and use of contemporary methods in climate change science.Provides insight into the construction, assessment, and testing of clim
圖書封面Titlebook: Climate Change Modeling Methodology; Selected Entries fro Philip J. Rasch Book 2012 Springer Science+Business Media New York 2012 Atmospher
描述The Earth‘s average temperature has risen by 1.4°F over the past century, and computer models project that it will rise much more over the next hundred years, with significant impacts on weather, climate, and human society. Many climate scientists attribute these increases to the build up of greenhouse gases produced by the burning of fossil fuels and to the anthropogenic production of short-lived climate pollutants. Climate Change Modeling Methodologies: Selected Entries from the Encyclopaedia of Sustainability Science and Technology provides readers with an introduction to the tools and analysis techniques used by climate change scientists to interpret the role of these forcing agents on climate. Readers will also gain a deeper understanding of the strengths and weaknesses of these models and how to test and assess them. The contributions include a glossary of key terms and a concise definition of the subject for each topic, as well as recommendations for sources of more detailed information.
出版日期Book 2012
關(guān)鍵詞Atmospheric General Circulation Modeling; Climate Change Modeling Methodology; Climate Change Models; C
版次1
doihttps://doi.org/10.1007/978-1-4614-5767-1
isbn_softcover978-1-4899-8701-3
isbn_ebook978-1-4614-5767-1
copyrightSpringer Science+Business Media New York 2012
The information of publication is updating

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https://doi.org/10.1007/978-981-97-2946-3o years. Climate predictions based on dynamical models incorporate all relevant processes to the extent possible, including anthropogenic climate change, but most importantly those processes that govern the likely evolution of natural climate variability.
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https://doi.org/10.1007/978-981-97-2946-3This entry discusses the role of integrated assessment models (IAMs) in climate change research. IAMs are an interdisciplinary research platform, which constitutes a consistent scientific framework in which the large-scale interactions between human and natural Earth systems can be examined.
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