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Assessment Of Intraseasonal To Interannual Climate Prediction And Predictability Committee On Assessment Of Intraseasonal To Interannual Climate Prediction And Predictability

  • SKU: BELL-5068200
Assessment Of Intraseasonal To Interannual Climate Prediction And Predictability Committee On Assessment Of Intraseasonal To Interannual Climate Prediction And Predictability
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Assessment Of Intraseasonal To Interannual Climate Prediction And Predictability Committee On Assessment Of Intraseasonal To Interannual Climate Prediction And Predictability instant download after payment.

Publisher: National Academies Press
File Extension: PDF
File size: 5.06 MB
Pages: 192
Author: 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
ISBN: 9780309151832, 030915183X
Language: English
Year: 2010

Product desciption

Assessment Of Intraseasonal To Interannual Climate Prediction And Predictability Committee On Assessment Of Intraseasonal To Interannual Climate Prediction And Predictability by 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 9780309151832, 030915183X instant download after payment.

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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