Data Assimilation For Atmospheric Oceanic And Hydrologic Applications PDF Download
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Author | : Seon Ki Park |
Publisher | : Springer Science & Business Media |
Total Pages | : 736 |
Release | : 2013-05-22 |
Genre | : Science |
ISBN | : 3642350887 |
Download Data Assimilation for Atmospheric, Oceanic and Hydrologic Applications (Vol. II) Book in PDF, ePub and Kindle
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 | : Seon Ki Park |
Publisher | : Springer |
Total Pages | : 576 |
Release | : 2016-12-26 |
Genre | : Science |
ISBN | : 3319434152 |
Download Data Assimilation for Atmospheric, Oceanic and Hydrologic Applications (Vol. III) Book in PDF, ePub and Kindle
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 | : Seon Ki Park |
Publisher | : Springer Nature |
Total Pages | : 707 |
Release | : 2021-11-09 |
Genre | : Science |
ISBN | : 3030777227 |
Download Data Assimilation for Atmospheric, Oceanic and Hydrologic Applications (Vol. IV) Book in PDF, ePub and Kindle
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 adaptive observations, sensitivity analysis, parameter estimation and AI applications. The book is useful to individual researchers as well as graduate students for a reference in the field of data assimilation.
Author | : Seon K. Park |
Publisher | : |
Total Pages | : 496 |
Release | : 2010-10-29 |
Genre | : |
ISBN | : 9783540867463 |
Download Data Assimilation for Atmospheric, Oceanic and Hydrologic Applications Book in PDF, ePub and Kindle
Author | : Seon Ki Park |
Publisher | : Cambridge University Press |
Total Pages | : 413 |
Release | : 2022-09-29 |
Genre | : Science |
ISBN | : 1108923895 |
Download Principles of Data Assimilation Book in PDF, ePub and Kindle
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.
Author | : Maithili Sharan |
Publisher | : |
Total Pages | : 286 |
Release | : 2012 |
Genre | : |
ISBN | : 9783034804424 |
Download Data assimilation and its applications Book in PDF, ePub and Kindle
Author | : Richard Swinbank |
Publisher | : Springer Science & Business Media |
Total Pages | : 377 |
Release | : 2012-12-06 |
Genre | : Technology & Engineering |
ISBN | : 9401000298 |
Download Data Assimilation for the Earth System Book in PDF, ePub and Kindle
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.
Author | : National Research Council |
Publisher | : National Academies Press |
Total Pages | : 89 |
Release | : 1991-02-01 |
Genre | : Science |
ISBN | : 0309045363 |
Download Four-Dimensional Model Assimilation of Data Book in PDF, ePub and Kindle
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 | : John M. Lewis |
Publisher | : Cambridge University Press |
Total Pages | : 601 |
Release | : 2006-08-03 |
Genre | : Mathematics |
ISBN | : 0521851556 |
Download Dynamic Data Assimilation Book in PDF, ePub and Kindle
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Author | : Shunlin Liang |
Publisher | : World Scientific |
Total Pages | : 491 |
Release | : 2013-09-23 |
Genre | : Science |
ISBN | : 981447262X |
Download Land Surface Observation, Modeling And Data Assimilation Book in PDF, ePub and Kindle
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.