Maithili Sharan – författare

Data assimilation is a novel, versatile methodology for estimating atmospheric and oceanic variables. The estimation of a quantity of interest via data assimilation involves the combination of observational data with the underlying dynamical principles governing the system under observation. This volume contains many original findings in data assimilation and its applications related to atmospheric, oceanic and environmental systems. This covers various data assimilation techniques with in Bayesian and non-Bayesian framework ranging from Least-Square, nudging, three dimensional variational (3DVAR), four-dimensional variational (4DVAR), Local Ensemble Kalman filter, Genetic algorithm etc. This also covers the applications to extreme weather event, hurricane, Asian summer monsoon, structure of the barrier layer in the equatorial Pacific ocean and identification of emission sources. This volume will be useful as a reading material in graduate level courses dealing with data assimilation and its application to meteorology, ocean and air quality. The scientific community at large especially younger scientists will find this book a useful addition to their personal and institutional libraries.

Weather and climate are of concern to virtually all countries worldwide. For many countries the economy depends largely on agriculture, which is significantly affected by variations in weather and climate. This volume contains many original findings on weather and climate related to atmospheric and oceanic processes through mathematical modeling, numerical simulations, and field experiments and it will be useful as a reading material in graduate level courses dealing with weather, climate, boundary layer and air quality. The scientific community at large, especially younger scientists, will find this book a useful addition to their personal and institutional libraries.

Weather and climate are of concern to virtually all countries worldwide. For many countries the economy depends largely on agriculture, which is significantly affected by variations in weather and climate. This volume contains many original findings on weather and climate related to atmospheric and oceanic processes through mathematical modeling, numerical simulations, and field experiments and it will be useful as a reading material in graduate level courses dealing with weather, climate, boundary layer and air quality. The scientific community at large, especially younger scientists, will find this book a useful addition to their personal and institutional libraries.

Understanding, modeling and prediction of mesoscale processes in the atmosphere, ocean and environmental systems, have gained importance in the last decade or so. This is because of the availability of more sophisticated observational systems, provided by technological innovations and more realistic simulations using advanced dynamical models.This volume contains many original findings on mesoscale processes in atmospheric and oceanic systems through mathematical modeling, numerical simulations and field experiments. These scientific papers examine and provide the latest developments on a range of topics that include tropical cyclones/hurricanes, mesoscale variability and modeling, seasonal monsoons and land surface processes including atmospheric boundary layer. This volume will be useful as a reading material in graduate level courses dealing with mesoscale systems, weather, climate, monsoon variability and boundary layer. The scientific community at large will find this book a useful addition to their personal and institutional libraries.