LEADER 03644nam 2200697 a 450 001 9910953823403321 005 20251116221034.0 010 $a9786612787218 010 $a9780309161343 010 $a0309161347 010 $a9781282787216 010 $a1282787217 010 $a9780309151849 010 $a0309151848 035 $a(CKB)2560000000067688 035 $a(EBL)3378667 035 $a(SSID)ssj0000412249 035 $a(PQKBManifestationID)11280587 035 $a(PQKBTitleCode)TC0000412249 035 $a(PQKBWorkID)10366321 035 $a(PQKB)10949888 035 $a(MiAaPQ)EBC3378667 035 $a(Au-PeEL)EBL3378667 035 $a(CaPaEBR)ebr10420226 035 $a(CaONFJC)MIL278721 035 $a(OCoLC)923282266 035 $a(Perlego)4735227 035 $a(BIP)32168642 035 $a(EXLCZ)992560000000067688 100 $a20101104d2010 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aAssessment of intraseasonal to interannual climate prediction and predictability /$fCommittee on Assessment of Intraseasonal to Interannual Climate Prediction and Predictability, Board on Atmospheric Sciences and Climate, Division on Earth and Life Studies 205 $a1st ed. 210 $aWashington, D.C. $cNational Academies Press$d2010 215 $a1 online resource (193 p.) 225 0 $aNational Research Council 300 $aDescription based upon print version of record. 311 08$a9780309151832 311 08$a030915183X 320 $aIncludes bibliographical references. 327 $a""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 Membersa??? Biographical Information "" 330 $aMore 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. 606 $aClimatology 606 $aClimatology$xResearch 615 0$aClimatology. 615 0$aClimatology$xResearch. 676 $a551.63 712 02$aNational Research Council (U.S.).$bCommittee on Assessment of Intraseasonal to Interannual Climate Prediction and Predictability. 712 02$aNational Research Council (U.S.).$bBoard on Atmospheric Sciences and Climate. 712 02$aNational Research Council (U.S.).$bDivision on Earth and Life Studies. 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910953823403321 996 $aAssessment of intraseasonal to interannual climate prediction and predictability$94367745 997 $aUNINA