LEADER 05298nam 22007575 450 001 9910150454303321 005 20251113192131.0 010 $a3-319-39092-9 024 7 $a10.1007/978-3-319-39092-5 035 $a(CKB)3710000000943152 035 $a(DE-He213)978-3-319-39092-5 035 $a(MiAaPQ)EBC4734202 035 $a(PPN)197139035 035 $a(EXLCZ)993710000000943152 100 $a20161107d2016 u| 0 101 0 $aeng 135 $aurnn#008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aMathematical Paradigms of Climate Science /$fedited by Fabio Ancona, Piermarco Cannarsa, Christopher Jones, Alessandro Portaluri 205 $a1st ed. 2016. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2016. 215 $a1 online resource (X, 228 p. 36 illus., 29 illus. in color.) 225 1 $aSpringer INdAM Series,$x2281-5198 ;$v15 311 08$a3-319-39091-0 320 $aIncludes bibliographical references at the end of each chapters. 327 $a1 Christof Meile and Chris K. R. T. Jones: A mathematical perspective on microbial processes in Earth's biogeochemical cycles -- 2 Fatiha Alabau-Boussouira, Piermarco Cannarsa and Masahiro Yamamoto: Source reconstruction by partial measurements for a class of hyperbolic systems in cascade -- 3 Didier Auroux, Jacques Blum and Giovanni Ruggiero: Data assimilation for geophysical fluids: the diffusive back and forth nudging -- 4 Alberto Carrassi and Stéphane Vannitsem: Deterministic treatment of model error in geophysical data assimilation -- 5 Franco Flandoli: Remarks on stochastic Navier-Stokes equations -- 6 Jan Gairing, Michael Högele, Tetiana Kosenkova and Alexei Kulik: On the calibration of Lévy driven time series with coupling distances and an application in paleoclimate -- 7 Damon McDougall and Chris K. R. T. Jone:, Decreasing flow uncertainty in Bayesian inverse problems through Lagrangian drifter control -- 8 Takahito Mitsui and Michel Crucifix: Effects of additive noise on the stability of glacial cycles -- 9 Francesco Paparella: Turbulence, Horizontal Convection, and the Ocean's Meridional Overturning Circulation -- 10 Alessio Porretta and Enrique Zuazua: Remarks on long time versus steady state optimal control. 330 $aThis book, featuring a truly interdisciplinary approach, provides an overview of cutting-edge mathematical theories and techniques that promise to play a central role in climate science. It brings together some of the most interesting overview lectures given by the invited speakers at an important workshop held in Rome in 2013 as a part of MPE2013 (?Mathematics of Planet Earth 2013?). The aim of the workshop was to foster the interaction between climate scientists and mathematicians active in various fields linked to climate sciences, such as dynamical systems, partial differential equations, control theory, stochastic systems, and numerical analysis. Mathematics and statistics already play a central role in this area. Likewise, computer science must have a say in the efforts to simulate the Earth?s environment on the unprecedented scale of petabytes. In the context of such complexity, new mathematical tools are needed to organize and simplify the approach. The growing importance of data assimilation techniques for climate modeling is amply illustrated in this volume, which also identifies important future challenges. This timely work is mainly addressed to any researcher active in climate science to learn more on qualitative and quantitative methods recently developed for their discipline as well as mathematicians with a strong interest in environmental science. It may also be useful to PhD students in applied mathematics to find excellent research subjects for their thesis. 410 0$aSpringer INdAM Series,$x2281-5198 ;$v15 606 $aMathematical physics 606 $aSystem theory 606 $aControl theory 606 $aPhysical geography 606 $aEnvironmental sciences 606 $aPhysics 606 $aNonlinear Optics 606 $aMathematical Physics 606 $aSystems Theory, Control 606 $aEarth System Sciences 606 $aEnvironmental Physics 606 $aNonlinear Optics 615 0$aMathematical physics. 615 0$aSystem theory. 615 0$aControl theory. 615 0$aPhysical geography. 615 0$aEnvironmental sciences. 615 0$aPhysics. 615 0$aNonlinear Optics. 615 14$aMathematical Physics. 615 24$aSystems Theory, Control. 615 24$aEarth System Sciences. 615 24$aEnvironmental Physics. 615 24$aNonlinear Optics. 676 $a551.6015118 702 $aAncona$b Fabio$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aCannarsa$b Piermarco$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aJones$b Christopher$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aPortaluri$b Alessandro$4edt$4http://id.loc.gov/vocabulary/relators/edt 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910150454303321 996 $aMathematical paradigms of climate science$91523442 997 $aUNINA