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Four Dimensional Model Assimilation Of Data
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Book Synopsis Four-Dimensional Model Assimilation of Data by : National Research Council
Download or read book Four-Dimensional Model Assimilation of Data written by National Research Council and published by National Academies Press. This book was released on 1991-02-01 with total page 89 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 :National Aeronautics and Space Adm Nasa Publisher :Independently Published ISBN 13 :9781730953972 Total Pages :96 pages Book Rating :4.9/5 (539 download)
Book Synopsis High-Performance Computing and Four-Dimensional Data Assimilation by : National Aeronautics and Space Adm Nasa
Download or read book High-Performance Computing and Four-Dimensional Data Assimilation written by National Aeronautics and Space Adm Nasa and published by Independently Published. This book was released on 2018-11-07 with total page 96 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is the final technical report for the project entitled: "High-Performance Computing and Four-Dimensional Data Assimilation: The Impact on Future and Current Problems," funded at NPAC by the DAO at NASA/GSFC. First, the motivation for the project is given in the introductory section, followed by the executive summary of major accomplishments and the list of project-related publications. Detailed analysis and description of research results is given in subsequent chapters and in the Appendix. Makivic, Miloje S. Goddard Space Flight Center
Book Synopsis The Variational Four-dimensional Assimilation of Analyses Using Filtered Models as Constraints by : John Charles Derber
Download or read book The Variational Four-dimensional Assimilation of Analyses Using Filtered Models as Constraints written by John Charles Derber and published by . This book was released on 1985 with total page 332 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Forecast Error Correction using Dynamic Data Assimilation by : Sivaramakrishnan Lakshmivarahan
Download or read book Forecast Error Correction using Dynamic Data Assimilation written by Sivaramakrishnan Lakshmivarahan and published by Springer. This book was released on 2016-10-21 with total page 270 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book introduces the reader to a new method of data assimilation with deterministic constraints (exact satisfaction of dynamic constraints)—an optimal assimilation strategy called Forecast Sensitivity Method (FSM), as an alternative to the well-known four-dimensional variational (4D-Var) data assimilation method. 4D-Var works with a forward in time prediction model and a backward in time tangent linear model (TLM). The equivalence of data assimilation via 4D-Var and FSM is proven and problems using low-order dynamics clarify the process of data assimilation by the two methods. The problem of return flow over the Gulf of Mexico that includes upper-air observations and realistic dynamical constraints gives the reader a good idea of how the FSM can be implemented in a real-world situation.
Book Synopsis Balance Dynamics and Gravity Waves in Four-dimensional Data Assimilation by : Lisa Neef
Download or read book Balance Dynamics and Gravity Waves in Four-dimensional Data Assimilation written by Lisa Neef and published by . This book was released on 2007 with total page 400 pages. Available in PDF, EPUB and Kindle. Book excerpt: This thesis examines the application of three methods of so-called four-dimensional data assimilation to dynamical models where there exists a timescale separation between vortical motion and (relatively fast) inertia-gravity waves. Using a highly simplified dynamical model which admits one nonlinear vortical mode and one inertia-gravity wave, we evaluate the relative strengths and weaknesses of linearization-based and ensemble-based sequential assimilation (i.e. two varieties of the Kalman filter), and four-dimensional variational assimilation (4DVAR). The first part of this study is concerned with balanced flow, or flow where vortical motion dominates and inertial/gravitational motion is "slaved" to the dominant flow. The goal of assimilation in this context is to recover the true balanced state, without the excitation of spurious inertia-gravity waves. It is shown that the excitation of spurious waves becomes more difficult to control as the nonlinearity of the assimilation system is increased, for example by decreasing observation frequency. If not enough components of the true state are observed or observations are infrequent relative to the nonlinearity of the model, the explicit evolution of error covariances using a tangent-linear model can easily become quite inaccurate, which results in a highly unstable assimilation cycle wherein spurious waves are excited and not controlled. Both ensemble-based and implicit variational covariance models offer improvements, but these are themselves limited by error due to sampling and non-Gaussianity of the ensemble and by the tendency to settle into local minima of a non-quadratic cost function. The analysis is then extended to dynamical regimes where the inertia-gravity wave becomes more important to the evolution of the system as a whole, either by increasing its magnitude, decreasing the timescale separation, or increasing the coupling between fast and slow modes. It is found that recovery of either mode from observations that contain both timescales benefits from the four-dimensional estimation of error statistics. The ability to extract both modes from observations which contain both timescales of motion depends both on the estimated fast-slow covariances, as well as the estimated error variance ascribed to the gravity wave. Recovery of a non-negligible inertia-gravity wave is found to be possible with the Kalman filter, and more so if an ensemble is used to estimate covariances, but extremely difficult for variational assimilation. It is also found that accuracy of the assimilation for the different regimes of balance/imbalance can be weakened considerably as systematic model error is added and increased. Some typical modifications designed to counter systematic error are shown to alleviate some of these problems, but also increase the excitation of spurious imbalance.
Book Synopsis Land Surface Observation, Modeling and Data Assimilation by : Shunlin Liang
Download or read book Land Surface Observation, Modeling and Data Assimilation written by Shunlin Liang and published by World Scientific. This book was released on 2013 with total page 491 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis Computational Methods for Data Evaluation and Assimilation by : Dan Gabriel Cacuci
Download or read book Computational Methods for Data Evaluation and Assimilation written by Dan Gabriel Cacuci and published by CRC Press. This book was released on 2013-08-21 with total page 376 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data evaluation and data combination require the use of a wide range of probability theory concepts and tools, from deductive statistics mainly concerning frequencies and sample tallies to inductive inference for assimilating non-frequency data and a priori knowledge. Computational Methods for Data Evaluation and Assimilation presents interdisciplinary methods for integrating experimental and computational information. This self-contained book shows how the methods can be applied in many scientific and engineering areas. After presenting the fundamentals underlying the evaluation of experimental data, the book explains how to estimate covariances and confidence intervals from experimental data. It then describes algorithms for both unconstrained and constrained minimization of large-scale systems, such as time-dependent variational data assimilation in weather prediction and similar applications in the geophysical sciences. The book also discusses several basic principles of four-dimensional variational assimilation (4D VAR) and highlights specific difficulties in applying 4D VAR to large-scale operational numerical weather prediction models.
Book Synopsis Advances in Ocean Data Assimilation: Methodologies, Forecasting and Reanalysis by : Shiqiu Peng
Download or read book Advances in Ocean Data Assimilation: Methodologies, Forecasting and Reanalysis written by Shiqiu Peng and published by Frontiers Media SA. This book was released on 2023-12-01 with total page 295 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Principles of Data Assimilation by : Seon Ki Park
Download or read book Principles of Data Assimilation written by Seon Ki Park and published by Cambridge University Press. This book was released on 2022-09-29 with total page 413 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis Data Assimilation for the Earth System by : Richard Swinbank
Download or read book Data Assimilation for the Earth System written by Richard Swinbank and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 377 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis Data Assimilation for Atmospheric, Oceanic and Hydrologic Applications (Vol. II) by : Seon Ki Park
Download or read book Data Assimilation for Atmospheric, Oceanic and Hydrologic Applications (Vol. II) written by Seon Ki Park and published by Springer Science & Business Media. This book was released on 2013-05-22 with total page 730 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis Data Assimilation for the Earth System by : Richard Swinbank
Download or read book Data Assimilation for the Earth System written by Richard Swinbank and published by Springer Science & Business Media. This book was released on 2003-10-31 with total page 394 pages. Available in PDF, EPUB and Kindle. Book excerpt: Proceedings of the NATO Advanced Study Institute, Acquafredda, Maratea, Italy from 19 May to 1 June 2002
Book Synopsis Challenges and Opportunities in Agrometeorology by : S.D. Attri
Download or read book Challenges and Opportunities in Agrometeorology written by S.D. Attri and published by Springer Science & Business Media. This book was released on 2011-10-06 with total page 600 pages. Available in PDF, EPUB and Kindle. Book excerpt: The global food security and sustainable agriculture are the key challenges before the scientific community in the present era of enhanced climate variability, rapidly rising population and dwindling resources. No part of the world is immune from meteorological extremes of one sort or another posing threat to the food security. Agrometeorology has to make most efficient use of the opportunities available in achieving the objectives of enhancing productivity and maintenance of sustainability. Increased awareness and technological advancement have provided opportunities to develop efficient agrometeorological services that can help cope with risks. These include improvements in weather forecasting, better understanding of the monsoon variability and crop-weather relationships, advances in operational agrometeorology and agrometeorological information systems, adaptation strategies to climate change and improved risk evaluation and management. This book based on an International Workshop held in New Delhi, India should be of interest to all organizations and agencies interested in agrometeorological applications.
Download or read book Monthly Weather Review written by and published by . This book was released on 1992 with total page 1298 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Air Pollution Modeling and its Application XIV by : Sven-Erik Gryning
Download or read book Air Pollution Modeling and its Application XIV written by Sven-Erik Gryning and published by Springer Science & Business Media. This book was released on 2007-05-08 with total page 737 pages. Available in PDF, EPUB and Kindle. Book excerpt: Proceedings of the Millennium NATO/CCMS International Technical Meeting on Air Pollution Modeling and its Application, held May 15-19 in Boulder, Colorado. This volume is the latest in a series of proceedings dating back to 1971. The book addresses the problem of air pollution and reports the latest findings and developments in air pollution modeling, from a truly international list of contributors.
Book Synopsis Assimilation of Remote Sensing Data into Earth System Models by : Jean-Christophe Calvet
Download or read book Assimilation of Remote Sensing Data into Earth System Models written by Jean-Christophe Calvet and published by MDPI. This book was released on 2019-11-20 with total page 236 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis Probabilistic Forecasting and Bayesian Data Assimilation by : Sebastian Reich
Download or read book Probabilistic Forecasting and Bayesian Data Assimilation written by Sebastian Reich and published by Cambridge University Press. This book was released on 2015-05-14 with total page 308 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
