LEADER 02734oam 2200517 450 001 996418191503316 005 20210529080109.0 010 $a3-030-60963-4 024 7 $a10.1007/978-3-030-60963-4 035 $a(CKB)4100000011643573 035 $a(DE-He213)978-3-030-60963-4 035 $a(MiAaPQ)EBC6421120 035 $a(PPN)252516486 035 $a(EXLCZ)994100000011643573 100 $a20210529d2020 uy 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 00$aModal view of atmospheric variability $eapplications of normal-mode function decomposition in weather and climate research /$fNedjeljka Zagar, Joseph Tribbia, editors 205 $a1st ed. 2020. 210 1$aCham, Switzerland :$cSpringer,$d[2020] 210 4$d©2020 215 $a1 online resource (XIII, 318 p. 114 illus., 50 illus. in color.) 225 1 $aMathematics of planet Earth ;$vVolume 8 311 $a3-030-60962-6 327 $a3D Normal Mode Functions (NMFs) Of a Global Baroclinic Atmospheric Model -- Normal Mode Functions and Initialization -- Normal-Mode Functions and Atmospheric Data Assimilation -- 3D Modal Variability and Energy Transformations On The Sphere -- Generalization of Baroclinic Instability and Rossby Wave Saturation Theory -- Applications to Predictions And Climate Studies. 330 $aThis book reviews the theory and applications of the normal-mode functions in numerical weather prediction and weather and climate dynamics. The normal-mode functions, the eigensolutions of the linearized primitive equations describing the evolution of atmospheric winds and mass variables, have been used for a long time. They have played an important role in the development of data assimilation schemes and the initialization of numerical weather prediction models. Chapters also present how the normal modes can be applied to many theoretical and numerical problems in the atmospheric sciences, such as equatorial wave dynamics, baroclinic instability, energy transfers, and predictability across scales. 410 0$aMathematics of planet Earth ;$vVolume 8. 606 $aWeather forecasting$xMathematical models 606 $aAtmospheric science 606 $aEnvironmental sciences 615 0$aWeather forecasting$xMathematical models. 615 0$aAtmospheric science. 615 0$aEnvironmental sciences. 676 $a551.63 702 $aZagar$b Nedjeljka 702 $aTribbia$b Joseph 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bUtOrBLW 906 $aBOOK 912 $a996418191503316 996 $aModal view of atmospheric variability$92208292 997 $aUNISA