LEADER 00887nam0-22002891i-450- 001 990005284040403321 005 20080512122721.0 035 $a000528404 035 $aFED01000528404 035 $a(Aleph)000528404FED01 035 $a000528404 100 $a19990604d1967----km-y0itay50------ba 101 0 $aita 105 $ay-------001yy 200 1 $a<>teologia dopo il Vaticano 2.$eapporti dottrinali e prospettive per il futuro in una interpretazione ecumenica$fa cura di John H. Miller 210 $aBrescia$cMorcelliana$d1967 215 $aXX, 827 p.$d25 cm 610 0 $aConcilio vaticano <2. ; 1962-1965> 676 $a282 702 1$aMiller,$bJohn H. 801 0$aIT$bUNINA$gRICA$2UNIMARC 901 $aBK 912 $a990005284040403321 952 $a282 MIL 1$bST.REL. 848$fFLFBC 959 $aFLFBC 996 $aTeologia dopo il Vaticano 2$9537588 997 $aUNINA LEADER 03568nam 2200673 a 450 001 9910437955003321 005 20200520144314.0 010 $a3-642-35088-7 024 7 $a10.1007/978-3-642-35088-7 035 $a(CKB)2670000000371245 035 $a(EBL)1106299 035 $a(OCoLC)845328495 035 $a(SSID)ssj0000898521 035 $a(PQKBManifestationID)11564806 035 $a(PQKBTitleCode)TC0000898521 035 $a(PQKBWorkID)10919434 035 $a(PQKB)11231255 035 $a(DE-He213)978-3-642-35088-7 035 $a(MiAaPQ)EBC1106299 035 $a(PPN)17049053X 035 $a(EXLCZ)992670000000371245 100 $a20130603d2013 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 00$aData assimilation for atmospheric, oceanic and hydrologic applications$hVol. II /$fSeon Ki Park, Liang Xu, editors 205 $a1st ed. 2013. 210 $aHeidelberg ;$aNew York $cSpringer$dc2013 215 $a1 online resource (736 p.) 225 0 $aData assimilation for atmospheric, oceanic and hydrologic applications ;$vv. 2 300 $aDescription based upon print version of record. 311 $a3-642-35087-9 320 $aIncludes bibliographical references and index. 327 $aA Review on the Theory and Methodologies of Estimation for Dynamical Systems -- Nudging Methods: A Critical Overview -- Markov Chain Monte Carlo Methods: Theory and Applications -- Information Content in Data Assimilation -- A Question of Adequacy of Observations in Variational Data Assimilation -- Quantifying Observation Impact for a Limited Area Atmospheric Forecast Model -- Skewness of the Prior through Position Errors and Its Impact on Data Assimilation -- Background Error Correlation Modeling with Diffusion Operator -- The Adjoint Sensitivity Guidance to Diagnosis and Tuning of Error Covariance Parameters -- Treating Nonlinearities in Data-Space Variational Assimilation -- Linearized Physics for Data Assimilation at ECMWF -- Recent Applications in Representer-Based Variational Data Assimilation. . 330 $aThis book contains the most recent progress in data assimilation in meteorology, oceanography and hydrology including land surface. It spans both theoretical and applicative aspects with various methodologies such as variational, Kalman filter, ensemble, Monte Carlo and artificial intelligence methods. Besides data assimilation, other important topics are also covered including targeting observation, sensitivity analysis, and parameter estimation. The book will be useful to individual researchers as well as graduate students for a reference in the field of data assimilation. 606 $aMeteorology$xData processing 606 $aOceanography$xData processing 606 $aHydrology$xData processing 606 $aMeteorology$xObservations 606 $aOceanography$xObservations 606 $aHydrology$xObservations 615 0$aMeteorology$xData processing. 615 0$aOceanography$xData processing. 615 0$aHydrology$xData processing. 615 0$aMeteorology$xObservations. 615 0$aOceanography$xObservations. 615 0$aHydrology$xObservations. 676 $a551.015118 701 $aPark$b Seon Ki$01449242 701 $aXu$b Liang$01759758 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910437955003321 996 $aData assimilation for atmospheric, oceanic and hydrologic applications$94198408 997 $aUNINA