• Science

Dynamic Meteorology: Data Assimilation Methods


Author: L. Bengtsson,M. Ghil,E. Källen
Publisher: Springer Science & Business Media
ISBN: 1461259703
Category: Science
Page: 330
View: 7711
One of the main reasons we cannot tell what the weather will be tomorrow is that we do not know accurately enough what the weather is today. Mathematically speaking, numerical weather prediction (NWP) is an initial-value problem for a system of nonlinear partial differential equations in which the necessary initial values are known only incompletely and inaccurately. Data at the initial time of a numerical forecast can be supplemented, however, by observations of the atmos phere over a time interval preceding it. New observing systems, in particular polar-orbiting and geostationary satellites, which are providing observations continuously in time, make is absolutely necess ary to find new and more satisfactory methods of assimilating meteorological observations - for the dual purpose of defining atmospheric states and of issuing forecasts from the states thus defined. FUndamental progress in this area has been made in recent years and this book attempts to give a review and some suggestions for further improvements in the field of meteorological data assimila tion methods. The European Centre for Medium Range Weather Forecasts (ECMWF) every year organises seminars for the benefit of meteorologists and geophysicists of the ECMWF Member states. The 1980 Seminar was devoted to data assimilation methods, and this book contains selected lectures from that seminar. The purpose of the seminar was twofold: it was intended to give a basic introduction to the subject, as well as an overview of the latest developments in the field.

    • Mathematics

Atmospheric Modeling, Data Assimilation and Predictability


Author: Eugenia Kalnay
Publisher: Cambridge University Press
ISBN: 9780521796293
Category: Mathematics
Page: 341
View: 6638
This book, first published in 2002, is a graduate-level text on numerical weather prediction, including atmospheric modeling, data assimilation and predictability.

    • Mathematics

Dynamic Data Assimilation

A Least Squares Approach
Author: John M. Lewis,S. Lakshmivarahan,Sudarshan Dhall
Publisher: Cambridge University Press
ISBN: 0521851556
Category: Mathematics
Page: 654
View: 9343
Dynamic data assimilation is the assessment, combination and synthesis of observational data, scientific laws and mathematical models to determine the state of a complex physical system, for instance as a preliminary step in making predictions about the system's behaviour. The topic has assumed increasing importance in fields such as numerical weather prediction where conscientious efforts are being made to extend the term of reliable weather forecasts beyond the few days that are presently feasible. 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. Thus Part I is a broad introduction to the history, development and philosophy of data assimilation, illustrated by examples; Part II considers the classical, static approaches, both linear and nonlinear; and Part III describes computational techniques. Parts IV to VII are concerned with how statistical and dynamic ideas can be incorporated into the classical framework. Key themes covered here include estimation theory, stochastic and dynamic models, and sequential filtering. The final part addresses the predictability of dynamical systems. Chapters end with a section that provides pointers to the literature, and a set of exercises with instructive hints.

    • Science

Oceanic Circulation Models: Combining Data and Dynamics


Author: D.L.T. Anderson,J. Willebrand
Publisher: Springer Science & Business Media
ISBN: 9400910134
Category: Science
Page: 606
View: 7230
This book which is the outcome of a NATO-Advanced Study Institute on Mod elling the Ocean Circulation and Geochemical Tracer Transport is concerned with using models to infer the ocean circulation. Understanding our climate is one of the major problems of the late twentieth century. The possible climatic changes resulting from the rise in atmospheric carbon dioxide and other trace gases are of primary interest and the ocean pla. ys a ma. jor role in determining the magnitude, temporal evolution and regional distribution of those changes. Because of the poor observational basis the ocean general circulation is not well understood. The World Ocean Circulation Experiment (WOCE) which is now underway is an attempt to improve our knowledge of ocean dynamics and thermodynamics on global scales relevant to climate change. Despite those efforts, the oceanic data base is likely to remain scarce and it is crucial to use appropriate methods in order to extract the maximum amount of information from observations. The book contains a thorough analysis of methods to combine data of val'ious types with dynamical concepts, and to assimilate data directly into ocean models. The properties of geocl;temical tracers such as HC, He, Tritium and Freons and how they may be used to impose integral constraints on the ocean circulation are discussed.

    • Science

Data Assimilation

Tools for Modelling the Ocean in a Global Change Perspective
Author: Pierre P. Brasseur,Jacques C.J. Nihoul
Publisher: Springer Science & Business Media
ISBN: 3642789390
Category: Science
Page: 253
View: 6701
Data assimilation is considered a key component of numerical ocean model development and new data acquisition strategies. The basic concept of data assimilation is to combine real observations via estimation theory with dynamic models. Related methodologies exist in meteorology, geophysics and engineering. Of growing importance in physical oceanography, data assimilation can also be exploited in biological and chemical oceanography. Such techniques are now recognized as essential to understand the role of the ocean in a global change perspective. The book focuses on data processing algorithms for assimilation, current methods for the assimilation of biogeochemical data, strategy of model development, and the design of observational data for assimilation.

    • Mathematics

Atmospheric Modeling, Data Assimilation and Predictability


Author: Eugenia Kalnay
Publisher: Cambridge University Press
ISBN: 9780521796293
Category: Mathematics
Page: 341
View: 4836
This book, first published in 2002, is a graduate-level text on numerical weather prediction, including atmospheric modeling, data assimilation and predictability.



    • Oceanography

Oceanography

The Official Magazine of the Oceanography Society
Author: N.A
Publisher: N.A
ISBN: N.A
Category: Oceanography
Page: N.A
View: 2194


    • Biogeochemical cycles

U.S. GOFS Planning Report


Author: U.S. GOFS Planning Office
Publisher: N.A
ISBN: N.A
Category: Biogeochemical cycles
Page: N.A
View: 3785

    • Earth sciences

Land Surface Observation, Modeling and Data Assimilation


Author: Shunlin Liang
Publisher: World Scientific
ISBN: 9814472611
Category: Earth sciences
Page: 466
View: 8807
This book is unique in its ambitious and comprehensive coverage of earth system land surface characterization, from observation and modeling to data assimilation, including recent developments in theory and techniques, and novel application cases. The contributing authors are active research scientists, and many of them are internationally known leading experts in their areas, ensuring that the text is authoritative.This book comprises four parts that are logically connected from data, modeling, data assimilation integrating data and models to applications. Land data assimilation is the key focus of the book, which encompasses both theoretical and applied aspects with various novel methodologies and applications to the water cycle, carbon cycle, crop monitoring, and yield estimation.Readers can benefit from a state-of-the-art presentation of the latest tools and their usage for understanding earth system processes. Discussions in the book present and stimulate new challenges and questions facing today''s earth science and modeling communities.

    • Science

Atmospheric Data Analysis


Author: Roger Daley
Publisher: Cambridge University Press
ISBN: 9780521458252
Category: Science
Page: 457
View: 3289
Intended to fill a void in the atmospheric science literature, this self-contained text outlines the physical and mathematical basis of all aspects of atmospheric analysis as well as topics important in several other fields outside of it, including atmospheric dynamics and statistics.

    • Meteorology

Monthly Weather Review


Author: N.A
Publisher: N.A
ISBN: N.A
Category: Meteorology
Page: N.A
View: 1495


    • Science

An Introduction to Dynamic Meteorology


Author: James R. Holton
Publisher: Academic Press
ISBN: 0123540151
Category: Science
Page: 535
View: 9542
MATLAB scripts (M-files) are provided on the accompanying CD.

    • Mathematics

Data Assimilation: Methods, Algorithms, and Applications


Author: Mark Asch,Marc Bocquet,Maelle Nodet
Publisher: SIAM
ISBN: 1611974542
Category: Mathematics
Page: 306
View: 2132
Data assimilation is an approach that combines observations and model output, with the objective of improving the latter. This book places data assimilation into the broader context of inverse problems and the theory, methods, and algorithms that are used for their solution. It provides a framework for, and insight into, the inverse problem nature of data assimilation, emphasizing ?why? and not just ?how.? Methods and diagnostics are emphasized, enabling readers to readily apply them to their own field of study. Readers will find a comprehensive guide that is accessible to nonexperts; numerous examples and diverse applications from a broad range of domains, including geophysics and geophysical flows, environmental acoustics, medical imaging, mechanical and biomedical engineering, economics and finance, and traffic control and urban planning; and the latest methods for advanced data assimilation, combining variational and statistical approaches.

    • Science

Data Assimilation for Atmospheric, Oceanic and Hydrologic Applications


Author: SEON KI PARK,Liang Xu
Publisher: Springer Science & Business Media
ISBN: 3540710566
Category: Science
Page: 476
View: 4182
Data assimilation (DA) has been recognized as one of the core techniques for modern forecasting in various earth science disciplines including meteorology, oceanography, and hydrology. Since early 1990s DA has been an important s- sion topic in many academic meetings organized by leading societies such as the American Meteorological Society, American Geophysical Union, European G- physical Union, World Meteorological Organization, etc. nd Recently, the 2 Annual Meeting of the Asia Oceania Geosciences Society (AOGS), held in Singapore in June 2005, conducted a session on DA under the - tle of “Data Assimilation for Atmospheric, Oceanic and Hydrologic Applications.” nd This rst DA session in the 2 AOGS was a great success with more than 30 papers presented and many great ideas exchanged among scientists from the three different disciplines. The scientists who participated in the meeting suggested making the DA session a biennial event. th Two years later, at the 4 AOGS Annual Meeting, Bangkok, Thailand, the DA session was of cially named “Sasaki Symposium on Data Assimilation for At- spheric, Oceanic and Hydrologic Applications,” to honor Prof. Yoshi K. Sasaki of the University of Oklahoma for his life-long contributions to DA in geosciences.

    • Science

Data Assimilation

The Ensemble Kalman Filter
Author: Geir Evensen
Publisher: Springer Science & Business Media
ISBN: 3642037119
Category: Science
Page: 307
View: 4141
This book reviews popular data-assimilation methods, such as weak and strong constraint variational methods, ensemble filters and smoothers. The author shows how different methods can be derived from a common theoretical basis, as well as how they differ or are related to each other, and which properties characterize them, using several examples. Readers will appreciate the included introductory material and detailed derivations in the text, and a supplemental web site.