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.Ph.D. thesis, University of Toroto Brown RG, Hwang PYC (1997) Introduction to random signals and applied Kalman filtering, 3rd edn. ... Ocean Model 3:137a 165 Chueshov ID (2002) Introduction to the theory of infinite-dimensional dissipative systems. ... Mode Observation and Estimation 38(10):803a815 Foias C, Temam R (1977) Structure of the set of stationary solutions of the Navier- Stokes equations.
|Title||:||Data Assimilation for Atmospheric, Oceanic and Hydrologic Applications|
|Author||:||Seon Ki Park, Liang Xu|
|Publisher||:||Springer Science & Business Media - 2013-05-22|