Downscaling Techniques for High-Resolution Climate Projections Book Reviews
Downscaling Techniques for High-Resolution Climate Projections by Rao Kotamarthi, Katharine Hayhoe & Linda O. Mearns Book Summary
Downscaling is a widely used technique for translating information from large-scale climate models to the spatial and temporal scales needed to assess local and regional climate impacts, vulnerability, risk and resilience. This book is a comprehensive guide to the downscaling techniques used for climate data. A general introduction of the science of climate modeling is followed by a discussion of techniques, models and methodologies used for producing downscaled projections, and the advantages, disadvantages and uncertainties of each. The book provides detailed information on dynamic and statistical downscaling techniques in non-technical language, as well as recommendations for selecting suitable downscaled datasets for different applications. The use of downscaled climate data in national and international assessments is also discussed using global examples. This is a practical guide for graduate students and researchers working on climate impacts and adaptation, as well as for policy makers and practitioners interested in climate risk and resilience.
Book Name | Downscaling Techniques for High-Resolution Climate Projections |
Genre | Earth Sciences |
Author | Rao Kotamarthi, Katharine Hayhoe & Linda O. Mearns |
Published | 11 February 2021, Thursday |
Language | English |
E-Book Size | 24.19 MB |
Downscaling Techniques for High-Resolution Climate Projections (Rao Kotamarthi, Katharine Hayhoe & Linda O. Mearns) Book Reviews 2024
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Summary of Downscaling Techniques for High-Resolution Climate Projections by Rao Kotamarthi, Katharine Hayhoe & Linda O. Mearns
The Downscaling Techniques for High-Resolution Climate Projections book written by Rao Kotamarthi, Katharine Hayhoe & Linda O. Mearns was published on 11 February 2021, Thursday in the Earth Sciences category. A total of 96 readers of the book gave the book 0 points out of 5.
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