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Titlebook: Climate Variability and Change in Africa; Perspectives, Experi Jonathan I. Matondo,Berhanu F. Alemaw,Wennegouda J Book 2020 Springer Nature

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書目名稱Climate Variability and Change in Africa
副標(biāo)題Perspectives, Experi
編輯Jonathan I. Matondo,Berhanu F. Alemaw,Wennegouda J
視頻videohttp://file.papertrans.cn/228/227653/227653.mp4
概述Highlights conceptual models for coupling biophysical and social responses with climate change scenarios across various scales.Examines numerous step-by-step procedures for integrated assessment of cl
叢書名稱Sustainable Development Goals Series
圖書封面Titlebook: Climate Variability and Change in Africa; Perspectives, Experi Jonathan I. Matondo,Berhanu F. Alemaw,Wennegouda J Book 2020 Springer Nature
描述.This book presents a comprehensive overview of climate variability and change in Africa, and includes impact assessments and case studies from integration frameworks, with a particular focus on climate, agriculture and water resources. Richly illustrated, the book highlights case studies from western, eastern and southern African region, and explores related development policies. Climate change adaptation research, prediction, and reanalysis are also addressed.
出版日期Book 2020
關(guān)鍵詞climate change; Africa climatology; climate and sustainability; climate variability and change; UN susta
版次1
doihttps://doi.org/10.1007/978-3-030-31543-6
isbn_softcover978-3-030-31545-0
isbn_ebook978-3-030-31543-6Series ISSN 2523-3084 Series E-ISSN 2523-3092
issn_series 2523-3084
copyrightSpringer Nature Switzerland AG 2020
The information of publication is updating

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An Overview of Dynamical Downscaling of Global Reanalyses for Improved Climate Reconstruction Over Ds. This is, however, a challenge for data-poor parts of the globe like Africa where adaptive capacity is also a challenge. Global datasets are also often not sufficient, as they come in coarse resolutions that are limited. Global reanalyses continue to help alleviate this challenge when they are dow
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Framework of Best Practice for Climate Change Adaptation in Africa: The Water–Development Nexusperspective to systematically chart out ways for adaptive capacity building. Africa’s vulnerability to climate change and variability has direct impacts on water availability, access and use. Water is the source of food and livelihood security for millions of its population. The future of food and l
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Relationships Among Surface Water Resources in the WR90, WR2005 and WR2012 Datasets of South Africa rces (WR) of South Africa; i.e. WR90, WR2005 and WR2012. MAR is the hydrological catchment response. It was found that linear models were generally suitable to correlate any pair of datasets. The level of linearity was measured by the coefficient of determination (R.), hence correlation coefficient.
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