Mathematical Paradigms of Climate Science

Fabio Ancona, Piermarco Cannarsa, Christopher Jones, Alessandro Portaluri (Herausgeber)

Buch | Softcover

X, 228 Seiten

2018 | 1. Softcover reprint of the original 1st ed. 2016
Springer International Publishing (Verlag)
978-3-319-81815-3 (ISBN)

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This 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.

1 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.

Erscheinungsdatum	26.07.2018
Reihe/Serie	Springer INdAM Series
Zusatzinfo	X, 228 p. 36 illus., 29 illus. in color.
Verlagsort	Cham
Sprache	englisch
Maße	155 x 235 mm
Gewicht	373 g
Themenwelt	Mathematik / Informatik ► Mathematik ► Angewandte Mathematik
Themenwelt	Naturwissenschaften ► Physik / Astronomie ► Theoretische Physik
Schlagworte	climate change • Data Assimilation • earth system processes • Numerical simuations • optimal control
ISBN-10	3-319-81815-5 / 3319818155
ISBN-13	978-3-319-81815-3 / 9783319818153
Zustand	Neuware