Rao Kotamarthi

Downscaling Techniques for High-Resolution Climate Projections (eBook, PDF)

From Global Change to Local Impacts

• Format: PDF

Produktbeschreibung

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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Produktdetails

• Verlag: Cambridge University Press
• Erscheinungstermin: 11. Februar 2021
• Englisch
• ISBN-13: 9781108661188
• Artikelnr.: 66180864

Autorenporträt

Rao Kotamarthi is a Chief Scientist of the Environmental Science Division and Department Head for the Atmospheric Science and Climate research group at the Argonne National Laboratory. He applies numerical models to the assessment of climate change impacts and uses high performance computing and physics-based models for projecting changes at regional and local scales. His other research interests include the role of absorbing aerosols on radiative forcing and developing models for resource characterization of wind energy.

Inhaltsangabe

1. Impacts, adaptation, vulnerability and decision making
2. Global climate models
3. Assessing climate change impacts at the regional scale
4. Dynamical downscaling
5. Empirical-statistical downscaling
6. Added value of downscaling
7. Uncertainty in future projections, and approaches for representing uncertainty
8. Guidance and recommendations for use of (downscaled) climate information
9. The future of regional downscaling
Index.