00771cam0-2200301---450-99000420745040332120141006145857.00-14-012308-3000420745FED01000420745(Aleph)000420745FED0100042074519990604d1992----km-y0itay50------baengGB--------000ayRegenerationPat BarkerLondonPenguin books1992252 p.20 cm823.914Barker,Pat<1943- >164315ITUNINARICAUNIMARCBK990004207450403321823.914 BARK 1Bibl.22981FLFBCFLFBCRegeneration228839UNINA03644nam 2200697 a 450 991095382340332120251116221034.09786612787218978030916134303091613479781282787216128278721797803091518490309151848(CKB)2560000000067688(EBL)3378667(SSID)ssj0000412249(PQKBManifestationID)11280587(PQKBTitleCode)TC0000412249(PQKBWorkID)10366321(PQKB)10949888(MiAaPQ)EBC3378667(Au-PeEL)EBL3378667(CaPaEBR)ebr10420226(CaONFJC)MIL278721(OCoLC)923282266(Perlego)4735227(BIP)32168642(EXLCZ)99256000000006768820101104d2010 uy 0engur|n|---|||||txtccrAssessment 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 Studies1st ed.Washington, D.C. National Academies Press20101 online resource (193 p.)National Research CouncilDescription based upon print version of record.9780309151832 030915183X Includes bibliographical references.""Front Matter ""; ""Contents""; ""Summary ""; ""1 Introduction""; ""2 Climate Prediction""; ""3 Building Blocks of Intraseasonal to Interannual Forecasting""; ""4 Case Studies ""; ""5 Best Practices ""; ""6 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.ClimatologyClimatologyResearchClimatology.ClimatologyResearch.551.63National Research Council (U.S.).Committee on Assessment of Intraseasonal to Interannual Climate Prediction and Predictability.National Research Council (U.S.).Board on Atmospheric Sciences and Climate.National Research Council (U.S.).Division on Earth and Life Studies.MiAaPQMiAaPQMiAaPQBOOK9910953823403321Assessment of intraseasonal to interannual climate prediction and predictability4367745UNINA