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.
Table of Contents
|2 Climate Prediction||21-53|
|3 Building Blocks of Intraseasonal to Interannual Forecasting||54-100|
|4 Case Studies||101-123|
|5 Best Practices||124-128|
|6 Recommendations and Remarks on Implementation||129-142|
|Appendix A Background Information on Statistical Techniques||170-175|
|Appendix B Committee Members' Biographical Information||176-182|
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