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Books > Science & Mathematics > Physics > Applied physics & special topics > Geophysics
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Advanced Data Assimilation for Geosciences - Lecture Notes of the Les Houches School of Physics: Special Issue, June 2012 (Hardcover)
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Advanced Data Assimilation for Geosciences - Lecture Notes of the Les Houches School of Physics: Special Issue, June 2012 (Hardcover)
Series: Lecture Notes of the Les Houches Summer School
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Data assimilation aims at determining as accurately as possible the
state of a dynamical system by combining heterogeneous sources of
information in an optimal way. Generally speaking, the mathematical
methods of data assimilation describe algorithms for forming
optimal combinations of observations of a system, a numerical model
that describes its evolution, and appropriate prior information.
Data assimilation has a long history of application to
high-dimensional geophysical systems dating back to the 1960s, with
application to the estimation of initial conditions for weather
forecasts. It has become a major component of numerical forecasting
systems in geophysics, and an intensive field of research, with
numerous additional applications in oceanography, atmospheric
chemistry, and extensions to other geophysical sciences. The
physical complexity and the high dimensionality of geophysical
systems have led the community of geophysics to make significant
contributions to the fundamental theory of data assimilation. This
book gathers notes from lectures and seminars given by
internationally recognized scientists during a three-week school
held in the Les Houches School of physics in 2012, on theoretical
and applied data assimilation. It is composed of (i) a series of
main lectures, presenting the fundamentals of the most commonly
used methods, and the information theory background required to
understand and evaluate the role of observations; (ii) a series of
specialized lectures, addressing various aspects of data
assimilation in detail, from the most recent developments of the
theory to the specificities of various thematic applications.
General
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