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This book describes the history, development, current status of numerical weather prediction (NWP), in both operational and research modes, and various applications of NWP models, which have been made by the scientists in East Asian countries. In particular, it introduces the major contributions to the worldwide NWP community achieved by East Asian scientists, including parameterizations, data assimilation techniques, parameter optimizations, and applications of the NWP models to improve the forecasts of high-impact weather systems in East Asia. This book provides both research scientists and graduate students with basic knowledge and insights on the development of NWP in East Asia. .
Atmospheric science. --- Geophysics. --- Water. --- Hydrology. --- Earth sciences. --- Geography. --- Atmospheric Science. --- Earth and Environmental Sciences.
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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.
Earth sciences -- Mathematics. --- Geophysics -- Mathematics. --- Earth & Environmental Sciences --- Meteorology & Climatology --- Meteorology --- Oceanography --- Hydrology --- Data processing. --- Observations. --- Observations, Oceanographic --- Oceanographic observations --- Meteorological observations --- Observations, Meteorological --- Earth sciences. --- Atmospheric sciences. --- Artificial intelligence. --- K-theory. --- Earth Sciences. --- Atmospheric Sciences. --- Artificial Intelligence (incl. Robotics). --- K-Theory. --- Algebraic topology --- Homology theory --- AI (Artificial intelligence) --- Artificial thinking --- Electronic brains --- Intellectronics --- Intelligence, Artificial --- Intelligent machines --- Machine intelligence --- Thinking, Artificial --- Bionics --- Cognitive science --- Digital computer simulation --- Electronic data processing --- Logic machines --- Machine theory --- Self-organizing systems --- Simulation methods --- Fifth generation computers --- Neural computers --- Aerophysics --- Atmospheric sciences --- Physical meteorology --- Geophysics --- Geosciences --- Environmental sciences --- Physical sciences --- Aquatic sciences --- Earth sciences --- Hydrography --- Water --- Artificial Intelligence. --- Atmosphere
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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.
Math. Appl. in Environmental Science. --- Calculus of Variations and Optimal Control; Optimization. --- Simulation and Modeling. --- Mathematical weather forecasting --- Physical weather forecasting --- Environment. --- Oceanography. --- Atmospheric sciences. --- Computer simulation. --- Calculus of variations. --- Environmental sciences. --- Atmospheric Sciences. --- Environmental science --- Science --- Isoperimetrical problems --- Variations, Calculus of --- Maxima and minima --- Computer modeling --- Computer models --- Modeling, Computer --- Models, Computer --- Simulation, Computer --- Electromechanical analogies --- Mathematical models --- Simulation methods --- Model-integrated computing --- Oceanography, Physical --- Oceanology --- Physical oceanography --- Thalassography --- Earth sciences --- Marine sciences --- Ocean --- Aerophysics --- Atmospheric sciences --- Physical meteorology --- Geophysics --- Numerical weather forecasting. --- Hydrology --- Meteorology --- Oceanography --- Mathematical models. --- Weather forecasting --- Mathematical optimization. --- Optimization (Mathematics) --- Optimization techniques --- Optimization theory --- Systems optimization --- Mathematical analysis --- Operations research --- System analysis --- Atmosphere
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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.
Numerical methods of optimisation --- Operational research. Game theory --- Mathematics --- Hydrosphere --- Meteorology. Climatology --- General ecology and biosociology --- Environmental protection. Environmental technology --- Artificial intelligence. Robotics. Simulation. Graphics --- atmosfeerchemie --- atmosfeerfysica --- metrologie --- milieukunde --- vormgeving --- mineralen (chemie) --- simulaties --- mijnbouw --- wiskunde --- KI (kunstmatige intelligentie) --- milieutechnologie --- kansrekening --- oceanografie --- atmosfeer --- optimalisatie
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Data assimilation is theoretically founded on probability, statistics, control theory, information theory, linear algebra, and functional analysis. At the same time, data assimilation is a very practical subject, given its goal of estimating the posterior probability density function in realistic high-dimensional applications. This puts data assimilation at the intersection between the contrasting requirements of theory and practice. Based on over twenty years of teaching courses in data assimilation, Principles of Data Assimilation introduces a unique perspective that is firmly based on mathematical theories, but also acknowledges practical limitations of the theory. With the inclusion of numerous examples and practical case studies throughout, this new perspective will help students and researchers to competently interpret data assimilation results and to identify critical challenges of developing data assimilation algorithms. The benefit of information theory also introduces new pathways for further development, understanding, and improvement of data assimilation methods.
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Functional analysis --- Numerical methods of optimisation --- Operational research. Game theory --- Hydrosphere --- Artificial intelligence. Robotics. Simulation. Graphics --- analyse (wiskunde) --- mineralen (chemie) --- mijnbouw --- wiskunde --- kansrekening --- oceanografie --- optimalisatie
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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 adaptive observations, sensitivity analysis, parameter estimation and AI applications. The book is useful to individual researchers as well as graduate students for a reference in the field of data assimilation.
Functional analysis --- Numerical methods of optimisation --- Operational research. Game theory --- Hydrosphere --- Artificial intelligence. Robotics. Simulation. Graphics --- analyse (wiskunde) --- mineralen (chemie) --- mijnbouw --- wiskunde --- kansrekening --- oceanografie --- optimalisatie
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