Book contents
- Downscaling Techniques for High-Resolution Climate Projections
- Downscaling Techniques for High-Resolution Climate Projections
- Copyright page
- Contents
- Preface
- 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
- References
- Index
6 - Added Value of Downscaling
Published online by Cambridge University Press: 05 February 2021
- Downscaling Techniques for High-Resolution Climate Projections
- Downscaling Techniques for High-Resolution Climate Projections
- Copyright page
- Contents
- Preface
- 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
- References
- Index
Summary
To what extent does bias correction and downscaling increase the value of GCM outputs for regional-scale applications?This chapter provides an overview of the concept of added value for downscaling studies and discusses the methods and metrics used for evaluating the value that bias correction and downscaling, using an RCM and/or an ESDM, adds to climate projections for impact assessments
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- Information
- Downscaling Techniques for High-Resolution Climate ProjectionsFrom Global Change to Local Impacts, pp. 102 - 120Publisher: Cambridge University PressPrint publication year: 2021
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