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This book presents the most recent achievements in data assimilation in Geosciences, especially in regards to meteorology, oceanography and hydrology. It spans both theoretical and applied aspects with various methodologies including variational, Kalman filter, maximum likelihood ensemble filter and other ensemble methods. Besides data assimilation, other important topics are also covered including targeting observation, parameter estimation, and remote sensing data retrieval. The book will be useful to individual researchers as well as graduate students as a reference in the field of data assimilation.

Numerical weather forecasting --- Oceanography --- Hydrology --- Meteorology --- Mathematical models --- Kalman filtering --- Hydrological forecasting. --- Research. --- Meteorological research --- Weather --- Weather research --- Ocean --- Oceanographic research --- Earth sciences --- Research --- Forecasting --- Geography. --- Hydraulic engineering. --- Atmospheric Sciences. --- Monitoring/Environmental Analysis. --- Geography, general. --- Hydrogeology. --- Engineering, Hydraulic --- Engineering --- Fluid mechanics --- Hydraulics --- Shore protection --- Cosmography --- World history --- Atmospheric sciences. --- Environmental monitoring. --- Geohydrology --- Geology --- Groundwater --- Biomonitoring (Ecology) --- Ecological monitoring --- Environmental quality --- Monitoring, Environmental --- Applied ecology --- Environmental engineering --- Pollution --- Atmospheric sciences --- Atmosphere --- Measurement --- Monitoring --- Oceanography - Mathematical models --- Hydrology - Mathematical models --- Meteorology - Mathematical models