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Author: P. Malanotte-Rizzoli Publisher: Elsevier ISBN: 9780080536668 Category : Science Languages : en Pages : 452
Book Description
The field of oceanographic data assimilation is now well established. The main area of concern of oceanographic data assimilation is the necessity for systematic model improvement and ocean state estimation. In this respect, the book presents the newest, innovative applications combining the most sophisticated assimilation methods with the most complex ocean circulation models. Ocean prediction has also now emerged as an important area in itself. The book contains reviews of scientific oceanographic issues covering different time and space scales. The application of data assimilation methods can provide significant advances in the understanding of this subject. Also included are the first, recent developments in the forecasting of oceanic flows. Only original articles that have undergone full peer review are presented, to ensure the highest scientific quality. This work provides an excellent coverage of state-of-the-art oceanographic data assimilation.
Author: P. Malanotte-Rizzoli Publisher: Elsevier ISBN: 9780080536668 Category : Science Languages : en Pages : 452
Book Description
The field of oceanographic data assimilation is now well established. The main area of concern of oceanographic data assimilation is the necessity for systematic model improvement and ocean state estimation. In this respect, the book presents the newest, innovative applications combining the most sophisticated assimilation methods with the most complex ocean circulation models. Ocean prediction has also now emerged as an important area in itself. The book contains reviews of scientific oceanographic issues covering different time and space scales. The application of data assimilation methods can provide significant advances in the understanding of this subject. Also included are the first, recent developments in the forecasting of oceanic flows. Only original articles that have undergone full peer review are presented, to ensure the highest scientific quality. This work provides an excellent coverage of state-of-the-art oceanographic data assimilation.
Author: Pierre P. Brasseur Publisher: Springer Science & Business Media ISBN: 3642789390 Category : Science Languages : en Pages : 253
Book Description
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.
Author: National Research Council Publisher: National Academies Press ISBN: 9780309045360 Category : Science Languages : en Pages : 92
Book Description
This volume explores and evaluates the development, multiple applications, and usefulness of four-dimensional (space and time) model assimilations of data in the atmospheric and oceanographic sciences and projects their applicability to the earth sciences as a whole. Using the predictive power of geophysical laws incorporated in the general circulation model to produce a background field for comparison with incoming raw observations, the model assimilation process synthesizes diverse, temporarily inconsistent, and spatially incomplete observations from worldwide land, sea, and space data acquisition systems into a coherent representation of an evolving earth system. The book concludes that this subdiscipline is fundamental to the geophysical sciences and presents a basic strategy to extend the application of this subdiscipline to the earth sciences as a whole.
Author: Seon Ki Park Publisher: Springer Science & Business Media ISBN: 3642350887 Category : Science Languages : en Pages : 730
Book Description
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.
Author: Eric P. Chassignet Publisher: Springer Science & Business Media ISBN: 9781402039812 Category : Science Languages : en Pages : 600
Book Description
This volume covers a wide range of topics and summarizes our present knowledge in ocean modeling, ocean observing systems, and data assimilation. The Global Ocean Data Assimilation Experiment (GODAE) provides a framework for these efforts: a global system of observations, communications, modeling, and assimilation that will deliver regular, comprehensive information on the state of the oceans, engendering wide utility and availability for maximum benefit to the community.
Author: Eugenia Kalnay Publisher: Cambridge University Press ISBN: 9780521796293 Category : Mathematics Languages : en Pages : 368
Book Description
This book, first published in 2002, is a graduate-level text on numerical weather prediction, including atmospheric modeling, data assimilation and predictability.
Author: Jean-Christophe Calvet Publisher: MDPI ISBN: 3039216406 Category : Science Languages : en Pages : 236
Book Description
In the Earth sciences, a transition is currently occurring in multiple fields towards an integrated Earth system approach, with applications including numerical weather prediction, hydrological forecasting, climate impact studies, ocean dynamics estimation and monitoring, and carbon cycle monitoring. These approaches rely on coupled modeling techniques using Earth system models that account for an increased level of complexity of the processes and interactions between atmosphere, ocean, sea ice, and terrestrial surfaces. A crucial component of Earth system approaches is the development of coupled data assimilation of satellite observations to ensure consistent initialization at the interface between the different subsystems. Going towards strongly coupled data assimilation involving all Earth system components is a subject of active research. A lot of progress is being made in the ocean–atmosphere domain, but also over land. As atmospheric models now tend to address subkilometric scales, assimilating high spatial resolution satellite data in the land surface models used in atmospheric models is critical. This evolution is also challenging for hydrological modeling. This book gathers papers reporting research on various aspects of coupled data assimilation in Earth system models. It includes contributions presenting recent progress in ocean–atmosphere, land–atmosphere, and soil–vegetation data assimilation.
Author: Panel on Model-Assimilated Data Sets for Atmospheric and Oceanic Research Publisher: ISBN: Category : Science Languages : en Pages : 96
Book Description
The purpose of this report is (1) to define the need for a nationally focused program to generate routinely research-quality, model-assimilated geophysical data sets and (2) to outline a basic strategy to implement an integrated national geophysical archive system to ensure the availability of such data sets to serve a broad range of national needs. The report concisely surveys the current applications and usefulness of research and operational model-assimilated atmospheric and oceanic data sets, assesses current activities for the development of model assimilation technology and new applications, and identifies the pressing national need in the 1990s - to manage and utilize effectively the overwhelming volume of earth system data already scheduled from greatly enhanced ground-based and satellite observing systems. A basic strategy for the earth system sciences is outlined, namely to use the power and consistency of proven model assimilation technology to generate routinely assimilated geophysical data sets in an integrated national geophysical archive system designed to ensure the ready availability of these data sets to the scientific and public policy communities.
Author: Mark Asch Publisher: SIAM ISBN: 1611974542 Category : Mathematics Languages : en Pages : 306
Book Description
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.
Author: P. Malanotte-Rizzoli
Author: P. Malanotte-Rizzoli
Author: Pierre P. Brasseur
Author: National Research Council
Author: Seon Ki Park
Author: Shiqiu Peng
Author: Eric P. Chassignet
Author: Eugenia Kalnay
Author: Jean-Christophe Calvet
Author: Panel on Model-Assimilated Data Sets for Atmospheric and Oceanic Research
Author: Mark Asch