Mathematical Paradigms Of Climate Science (springer Indam Series)
by Christopher Jones /
2016 / English / PDF
7.7 MB Download
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.
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.
