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Data Assimilation for the Geosciences, Fletcher, Steven James



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Автор: Fletcher, Steven James
Название:  Data Assimilation for the Geosciences   (Стивен Джеймс Флетчер: Сбор данных в науках о Земле)
Издательство: Elsevier Science
Классификация:
Вероятность и статистика
Прикладная математика
Прикладная физика и специальные разделы

ISBN: 0128044446
ISBN-13(EAN): 9780128044445
ISBN: 0-12-804444-6
ISBN-13(EAN): 978-0-12-804444-5
Обложка/Формат: Paperback
Страницы: 908
Дата издания: 15.03.2017
Серия: Geophysics
Язык: ENG
Размер: 194 x 236 x 63
Читательская аудитория: Professional & vocational
Подзаголовок: From theory to application
Ссылка на Издательство: Link
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Поставляется из: Англии
Описание: Data Assimilation for the Geosciences: From Theory to Application brings together all of the mathematical,statistical, and probability background knowledge needed to formulate data assimilation systems in one place. It includes practical exercises for understanding theoretical formulation and presents some aspects of coding the theory with a toy problem. The book also demonstrates how data assimilation systems are implemented in larger scale fluid dynamical problems related to the atmosphere, oceans, as well as the land surface and other geophysical situations. It offers a comprehensive presentation of the subject, from basic principles to advanced methods, such as Particle Filters and Markov-Chain Monte-Carlo methods. Additionally, Data Assimilation for the Geosciences: From Theory to Application covers the applications of data assimilation techniques in various disciplines of the geosciences, making the book useful to students, teachers, and research scientists.
Дополнительное описание:




Advanced Data Assimilation for Geosciences: Lecture Notes of the Les Houches School of Physics: Special Issue, June 2012

Автор: Blayo Ric
Название: Advanced Data Assimilation for Geosciences: Lecture Notes of the Les Houches School of Physics: Special Issue, June 2012
ISBN: 0198723849 ISBN-13(EAN): 9780198723844
Издательство: Oxford Academ
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Цена: 4891 р.
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Описание: This book gathers notes from lectures given during a three-week summer school on the fundamentals and the most recent developments of geophysical data assimilation.

Data Assimilation and its Applications

Автор: Sharan
Название: Data Assimilation and its Applications
ISBN: 3034804415 ISBN-13(EAN): 9783034804417
Издательство: Springer
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Цена: 7863 р.
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Описание: 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.

Data Assimilation for the Earth System

Автор: Swinbank
Название: Data Assimilation for the Earth System
ISBN: 1402015933 ISBN-13(EAN): 9781402015939
Издательство: Springer
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Цена: 14492 р.
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Описание: A comprehensive survey of both the theory of data assimilation and its application in a range of earth system sciences. This book is useful for postgraduate students and those working on the application of data assimilation in meteorology, oceanography and other earth sciences.

Data Assimilation for the Earth System

Автор: Swinbank
Название: Data Assimilation for the Earth System
ISBN: 1402015925 ISBN-13(EAN): 9781402015922
Издательство: Springer
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Цена: 28892 р.
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Описание: Data assimilation is the combination of information from observations and models of a particular physical system in order to get the best possible estimate of the state of that system. The technique has wide applications across a range of earth sciences, a major application being the production of operational weather forecasts. Others include oceanography, atmospheric chemistry, climate studies, and hydrology.

"Data Assimilation for the Earth System" is a comprehensive survey of both the theory of data assimilation and its application in a range of earth system sciences. Data assimilation is a key technique in the analysis of remote sensing observations and is thus particularly useful for those analysing the wealth of measurements from recent research satellites. This book is suitable for postgraduate students and those working on the application of data assimilation in meteorology, oceanography and other earth sciences.

Atmospheric Modeling, Data Assimilation and Predictability

Автор: Eugenia Kalnay
Название: Atmospheric Modeling, Data Assimilation and Predictability
ISBN: 0521796296 ISBN-13(EAN): 9780521796293
Издательство: Cambridge Academ
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Цена: 5307 р.
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Описание: This comprehensive text and reference work on numerical weather prediction covers for the first time, not only methods for numerical modeling, but also the important related areas of data assimilation and predictability. It incorporates all aspects of environmental computer modeling including an historical overview of the subject, equations of motion and their approximations, a modern and clear description of numerical methods, and the determination of initial conditions using weather observations (an important new science known as data assimilation). Finally, this book provides a clear discussion of the problems of predictability and chaos in dynamical systems and how they can be applied to atmospheric and oceanic systems. Professors and students in meteorology, atmospheric science, oceanography, hydrology and environmental science will find much to interest them in this book, which can also form the basis of one or more graduate-level courses.

Probabilistic Forecasting and Bayesian Data Assimilation

Автор: Reich
Название: Probabilistic Forecasting and Bayesian Data Assimilation
ISBN: 1107663911 ISBN-13(EAN): 9781107663916
Издательство: Cambridge Academ
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Цена: 3954 р.
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Описание: In this book the authors describe the principles and methods behind probabilistic forecasting and Bayesian data assimilation. Instead of focusing on particular application areas, the authors adopt a general dynamical systems approach, with a profusion of low-dimensional, discrete-time numerical examples designed to build intuition about the subject. Part I explains the mathematical framework of ensemble-based probabilistic forecasting and uncertainty quantification. Part II is devoted to Bayesian filtering algorithms, from classical data assimilation algorithms such as the Kalman filter, variational techniques, and sequential Monte Carlo methods, through to more recent developments such as the ensemble Kalman filter and ensemble transform filters. The McKean approach to sequential filtering in combination with coupling of measures serves as a unifying mathematical framework throughout Part II. Assuming only some basic familiarity with probability, this book is an ideal introduction for graduate students in applied mathematics, computer science, engineering, geoscience and other emerging application areas.

Probabilistic Forecasting and Bayesian Data Assimilation

Автор: Reich
Название: Probabilistic Forecasting and Bayesian Data Assimilation
ISBN: 1107069394 ISBN-13(EAN): 9781107069398
Издательство: Cambridge Academ
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Цена: 8326 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: In this book the authors describe the principles and methods behind probabilistic forecasting and Bayesian data assimilation. Instead of focusing on particular application areas, the authors adopt a general dynamical systems approach, with a profusion of low-dimensional, discrete-time numerical examples designed to build intuition about the subject. Part I explains the mathematical framework of ensemble-based probabilistic forecasting and uncertainty quantification. Part II is devoted to Bayesian filtering algorithms, from classical data assimilation algorithms such as the Kalman filter, variational techniques, and sequential Monte Carlo methods, through to more recent developments such as the ensemble Kalman filter and ensemble transform filters. The McKean approach to sequential filtering in combination with coupling of measures serves as a unifying mathematical framework throughout Part II. Assuming only some basic familiarity with probability, this book is an ideal introduction for graduate students in applied mathematics, computer science, engineering, geoscience and other emerging application areas.

Dynamic Data Assimilation

Автор: John M. Lewis
Название: Dynamic Data Assimilation
ISBN: 0521851556 ISBN-13(EAN): 9780521851558
Издательство: Cambridge Academ
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Цена: 15404 р.
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Описание: Dynamic data assimilation is the assessment, combination and synthesis of observational data, scientific laws and mathematical models to make predictions about how a complex physical system will behave. This book is designed to be a basic one-stop reference for graduate students and researchers. It is based on graduate courses taught over a decade to mathematicians, scientists, and engineers, and its modular structure accommodates the various audience requirements. Chapters end with a section that provides pointers to the literature, and a set of exercises with instructive hints. Computation is encouraged: algorithms are liberally scattered throughout the text. Accompanying refresher material - in many areas of mathematics including vector spaces, optimization and probability theory - will be available from www.cambridge.org/0521851556. The book ends with a comprehensive bibliography.

Data Assimilation / The Ensemble Kalman Filter

Автор: Evensen Geir
Название: Data Assimilation / The Ensemble Kalman Filter
ISBN: 354038300X ISBN-13(EAN): 9783540383000
Издательство: Springer
Цена: 9404 р.
Наличие на складе: Поставка под заказ.

Описание: Data Assimilation comprehensively covers data assimilation and inverse methods, including both traditional state estimation and parameter estimation. This text and reference focuses on various popular data assimilation methods, such as weak and strong constraint variational methods and ensemble filters and smoothers. It is demonstrated how the different methods can be derived from a common theoretical basis, as well as how they differ and/or are related to each other, and which properties characterize them, using several examples.Rather than emphasize a particular discipline such as oceanography or meteorology, it presents the mathematical framework and derivations in a way which is common for any discipline where dynamics is merged with measurements. The mathematics level is modest, although it requires knowledge of basic spatial statistics, Bayesian statistics, and calculus of variations. Readers will also appreciate the introduction to the mathematical methods used and detailed derivations, which should be easy to follow, are given throughout the book. The codes used in several of the data assimilation experiments are available on a web page. In particular, this webpage contains a complete ensemble Kalman filter assimilation system, which forms an ideal starting point for a user who wants to implement the ensemble Kalman filter with his/her own dynamical model.The focus on ensemble methods, such as the ensemble Kalman filter and smoother, also makes it a solid reference to the derivation, implementation and application of such techniques. Much new material, in particular related to the formulation and solution of combined parameter and state estimation problems and the general properties of the ensemble algorithms, is available here for the first time.

Advanced Numerical Modeling and Data Assimilation Techniques for Tropical Cyclone Predictions

Автор: U.C. Mohanty; Sundararaman.G. Gopalakrishnan
Название: Advanced Numerical Modeling and Data Assimilation Techniques for Tropical Cyclone Predictions
ISBN: 9402408940 ISBN-13(EAN): 9789402408942
Издательство: Springer
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Цена: 15894 р.
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Описание: This book deals primarily with monitoring, prediction and understanding of Tropical Cyclones (TCs). It was envisioned to serve as a teaching and reference resource at universities and academic institutions for researchers and post-graduate students. It has been designed to provide a broad outlook on recent advances in observations, assimilation and modeling of TCs with detailed and advanced information on genesis, intensification, movement and storm surge prediction. Specifically, it focuses on (i) state-of-the-art observations for advancing TC research, (ii) advances in numerical weather prediction for TCs, (iii) advanced assimilation and vortex initialization techniques, (iv) ocean coupling, (v) current capabilities to predict TCs, and (vi) advanced research in physical and dynamical processes in TCs. The chapters in the book are authored by leading international experts from academic, research and operational environments. The book is also expected to stimulate critical thinking for cyclone forecasters and researchers, managers, policy makers, and graduate and post-graduate students to carry out future research in the field of TCs.

Reference Frames for Applications in Geosciences

Автор: Altamimi
Название: Reference Frames for Applications in Geosciences
ISBN: 3642329977 ISBN-13(EAN): 9783642329975
Издательство: Springer
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Цена: 19224 р.
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Описание: Reference systems and frames are of primary importance for many Earth science applications, satellite navigation as well as for practical applications in geo-information.

Geosciences of Azerbaijan

Автор: Alizadeh
Название: Geosciences of Azerbaijan
ISBN: 3319273930 ISBN-13(EAN): 9783319273938
Издательство: Springer
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Цена: 12233 р.
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Описание: This book provides amulti-scale and multidisciplinary perspective on the geology of Azerbaijan, acountry characterized by a unique tectonic and geological setting including theGreater and Lesser Caucasus, the Talysh Mountains, and the Caspian and KurBasins. Essential geological and geophysical data shed light on the principlesof the evolution of the Earth within the region under study, seismic activityand the distribution of economic deposits. Further, special attention is paidto the history of geological-geophysical studies in the region. A combined,comprehensive interpretation of Azerbaijan’s near-surface and deep geologicalstructure is achieved on the basis of an integrative analysis of stratigraphic,magmatic, morphological, lithological, tectonic, neotectonic, geophysical andother data, combining not only Russian and Azerbaijani-published, but also whollynew geological data.Volume I addresses theneeds of researchers focused on geology and the environmental sciences, butwill also be of interest to anyone looking to learn more about the naturalphenomena in Azerbaijan, a beautiful country situated at the boundary betweenEurope and Asia.


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