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Downscaling Techniques for High-Resolution Climate Projections

From Global Change to Local Impacts

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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.

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Downscaling Techniques for High-Resolution Climate Projections, Rao Kotamarthi, Katharine Hayhoe, Linda O Mearns, Donald Wuebbles, Jennifer Jacobson, Jennifer Jurado

Jazyk
Rok vydania
2020
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Titul
Downscaling Techniques for High-Resolution Climate Projections
Podtitul
From Global Change to Local Impacts
Jazyk
anglicky
Rok vydania
2020
Väzba
pevná
Počet strán
210
ISBN10
110847375X
ISBN13
9781108473750
Série
Hodnotenie
3 z 5
Anotácia
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.