Data Assimilation for Atmospheric, Oceanic and Hydrologic Applications (Vol. II)

Buch | Softcover

XIX, 730 Seiten

2016 | 1. Softcover reprint of the original 1st ed. 2013
Springer Berlin (Verlag)
978-3-662-51023-0 (ISBN)

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This book contains the most recent progress in data assimilation in meteorology, oceanography and hydrology including land surface. It spans both theoretical and applicative aspects with various methodologies such as variational, Kalman filter, ensemble, Monte Carlo and artificial intelligence methods. Besides data assimilation, other important topics are also covered including targeting observation, sensitivity analysis, and parameter estimation. The book will be useful to individual researchers as well as graduate students for a reference in the field of data assimilation.

A Review on the Theory and Methodologies of Estimation for Dynamical Systems.- Nudging Methods: A Critical Overview.- Markov Chain Monte Carlo Methods: Theory and Applications.- Information Content in Data Assimilation.- A Question of Adequacy of Observations in Variational Data Assimilation.- Quantifying Observation Impact for a Limited Area Atmospheric Forecast Model.- Skewness of the Prior through Position Errors and Its Impact on Data Assimilation.- Background Error Correlation Modeling with Diffusion Operator.- The Adjoint Sensitivity Guidance to Diagnosis and Tuning of Error Covariance Parameters.- Treating Nonlinearities in Data-Space Variational Assimilation.- Linearized Physics for Data Assimilation at ECMWF.- Recent Applications in Representer-Based Variational Data Assimilation.

Erscheinungsdatum	29.08.2016
Zusatzinfo	XIX, 730 p. 269 illus., 170 illus. in color.
Verlagsort	Berlin
Sprache	englisch
Maße	155 x 235 mm
Themenwelt	Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik
	Mathematik / Informatik ► Mathematik ► Geometrie / Topologie
	Naturwissenschaften ► Geowissenschaften ► Geologie
	Naturwissenschaften ► Geowissenschaften ► Meteorologie / Klimatologie
Schlagworte	algebraic topology • Artificial Intelligence • artificial intelligence (incl. robotics) • atmospheric sciences • Data Assimilation • Earth and Environmental Science • earth sciences • Front-edge Applications of Data Assimilation • K-theory • Robotics • Technique to Various Disciplines in Geosciences • variational method
ISBN-10	3-662-51023-5 / 3662510235
ISBN-13	978-3-662-51023-0 / 9783662510230
Zustand	Neuware