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010   $a1-316-88288-8
010   $a1-316-33925-4
010   $a1-316-88354-X
010   $a1-316-88365-5
010   $a1-316-88376-0
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010   $a1-316-88420-1
035   $a(CKB)3710000001008907
035   $a(MiAaPQ)EBC4755991
035   $a(UkCbUP)CR9781316339251
035   $a(PPN)261348310
035   $a(EXLCZ)993710000001008907
100   $a20150121d2017||||  uy|         0
101 0 $aeng
135   $aur|||||||||||
181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 00$aNonlinear and stochastic climate dynamics /$fedited by Christian L.E. Franzke, University of Hamburg, Germany, and Terence J. O'Kane, CSIRO Oceans and Atmosphere, Hobart, Australia
210  1$aCambridge :$cCambridge University Press,$d2017.
215   $a1 online resource (xxxiv, 432 pages) $cdigital, PDF file(s)
300   $aTitle from publisher's bibliographic system (viewed on 31 Jan 2017).
311 08$a1-107-11814-X 
311 08$a1-316-88409-0 
330   $aIt is now widely recognized that the climate system is governed by nonlinear, multi-scale processes, whereby memory effects and stochastic forcing by fast processes, such as weather and convective systems, can induce regime behavior. Motivated by present difficulties in understanding the climate system and to aid the improvement of numerical weather and climate models, this book gathers contributions from mathematics, physics and climate science to highlight the latest developments and current research questions in nonlinear and stochastic climate dynamics. Leading researchers discuss some of the most challenging and exciting areas of research in the mathematical geosciences, such as the theory of tipping points and of extreme events including spatial extremes, climate networks, data assimilation and dynamical systems. This book provides graduate students and researchers with a broad overview of the physical climate system and introduces powerful data analysis and modeling methods for climate scientists and applied mathematicians.
606   $aStatistical weather forecasting
606   $aWeather forecasting
606   $aGlobal warming
606   $aClimatic changes
606   $aAtmospheric circulation$xMathematical models
615  0$aStatistical weather forecasting.
615  0$aWeather forecasting.
615  0$aGlobal warming.
615  0$aClimatic changes.
615  0$aAtmospheric circulation$xMathematical models.
676   $a551.601/51922
702   $aFranzke$b Christian L. E.
702   $aO'Kane$b Terence J.
801  0$bUkCbUP
801  1$bUkCbUP
906   $aBOOK
912   $a9910158981603321
996   $aNonlinear and stochastic climate dynamics$92584993
997   $aUNINA