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Assessment of intraseasonal to interannual climate prediction and predictability

Author: National Research Council (U.S.). Committee on Assessment of Intraseasonal to Interannual Climate Prediction and Predictability.
Publisher: Washington, D.C. : National Academies Press, ©2010.
Series: National Research Council
Edition/Format:   eBook : Document : EnglishView all editions and formats
Database:WorldCat
Summary:
More accurate forecasts of climate conditions over time periods of weeks to a few years could help people plan agricultural activities, mitigate drought, and manage energy resources, amongst other activities; however, current forecast systems have limited ability on these time- scales. Models for such climate forecasts must take into account complex interactions among the ocean, atmosphere, and land surface. Such  Read more...
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Genre/Form: Electronic books
Additional Physical Format: Print version:
Material Type: Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: National Research Council (U.S.). Committee on Assessment of Intraseasonal to Interannual Climate Prediction and Predictability.
ISBN: 9780309151832 030915183X 9780309151849 0309151848
OCLC Number: 676731292
Description: 1 online resource (x, 181 pages) : illustrations (some color), maps (some color).
Contents: Summary --
Introduction --
Climate Prediction --
Building Blocks of Intraseasonal to Interannual Forecasting --
Case Studies --
Best Practices --
Recommendations and Remarks on Implementation --
References --
Appendix A Background Information on Statistical Techniques --
Appendix B Committee Members Biographical Information.
Series Title: National Research Council
Responsibility: Committee on Assessment of Intraseasonal to Interannual Climate Prediction and Predictability, Board on Atmospheric Sciences and Climate, Division on Earth and Life Studies, National Research Council of the National Academies.

Abstract:

More accurate forecasts of climate conditions over time periods of weeks to a few years could help people plan agricultural activities, mitigate drought, and manage energy resources, amongst other activities; however, current forecast systems have limited ability on these time- scales. Models for such climate forecasts must take into account complex interactions among the ocean, atmosphere, and land surface. Such processes can be difficult to represent realistically. To improve the quality of forecasts, this book makes recommendations about the development of the tools used in forecasting and about specific research goals for improving understanding of sources of predictability. To improve the accessibility of these forecasts to decision-makers and researchers, this book also suggests best practices to improve how forecasts are made and disseminated.

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