Assessment of intraseasonal to interannual climate prediction and predictability:
Saved in:
| Corporate Author: | |
|---|---|
| Format: | Electronic eBook |
| Language: | English |
| Published: |
Washington, D.C.
National Academies Press
c2010
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| Subjects: | |
| Online Access: | FAW01 FAW02 Volltext |
| Item Description: | Includes bibliographical references 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 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 |
| Physical Description: | 1 Online-Ressource (x, 181 p.) |
| ISBN: | 0309151848 9780309151849 |
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| indexdate | 2024-07-10T07:16:51Z |
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| isbn | 0309151848 9780309151849 |
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| spelling | National Research Council (U.S.) Committee on Assessment of Intraseasonal to Interannual Climate Prediction and Predictability Verfasser aut Assessment of intraseasonal to interannual climate prediction and predictability 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 Washington, D.C. National Academies Press c2010 1 Online-Ressource (x, 181 p.) txt rdacontent c rdamedia cr rdacarrier Includes bibliographical references 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 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 NATURE / Weather bisacsh SCIENCE / Earth Sciences / Meteorology & Climatology bisacsh Geowissenschaften Weather forecasting Erscheint auch als Druck-Ausgabe, Paperback 0-309-15183-X Erscheint auch als Druck-Ausgabe, Paperback 978-0-309-15183-2 http://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&db=nlabk&AN=338812 Aggregator Volltext |
| spellingShingle | Assessment of intraseasonal to interannual climate prediction and predictability NATURE / Weather bisacsh SCIENCE / Earth Sciences / Meteorology & Climatology bisacsh Geowissenschaften Weather forecasting |
| title | Assessment of intraseasonal to interannual climate prediction and predictability |
| title_auth | Assessment of intraseasonal to interannual climate prediction and predictability |
| title_exact_search | Assessment of intraseasonal to interannual climate prediction and predictability |
| title_full | Assessment of intraseasonal to interannual climate prediction and predictability 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 |
| title_fullStr | Assessment of intraseasonal to interannual climate prediction and predictability 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 |
| title_full_unstemmed | Assessment of intraseasonal to interannual climate prediction and predictability 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 |
| title_short | Assessment of intraseasonal to interannual climate prediction and predictability |
| title_sort | assessment of intraseasonal to interannual climate prediction and predictability |
| topic | NATURE / Weather bisacsh SCIENCE / Earth Sciences / Meteorology & Climatology bisacsh Geowissenschaften Weather forecasting |
| topic_facet | NATURE / Weather SCIENCE / Earth Sciences / Meteorology & Climatology Geowissenschaften Weather forecasting |
| url | http://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&db=nlabk&AN=338812 |
| work_keys_str_mv | AT nationalresearchcounciluscommitteeonassessmentofintraseasonaltointerannualclimatepredictionandpredictability assessmentofintraseasonaltointerannualclimatepredictionandpredictability |