Downscaling Techniques for High-Resolution Climate Projections : From Global Change to Local Impacts.
Publisher: Cambridge, United Kingdom ; New York, NY : Cambridge University Press, 2021Copyright date: 2021Description: x, 201 pages : illustrations (some color), maps (some color) ; 26 cmContent type:- text
- unmediated
- volume
- 9781108473750
- 110847375X
- 551.60285 23
- QC874.3 .K68 2021
- ASLI Choice Award
Item type | Current library | Call number | Copy number | Status | Date due | Barcode | Item holds | |
---|---|---|---|---|---|---|---|---|
BOOK | NCAR Library Foothills Lab | QC874.3 .K68 2021 | 1 | Checked out | 12/28/2024 | 50583020012294 |
Includes bibliographical references and index.
"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"-- Provided by publisher.
ASLI Choice Award