Four Dimensional Data Assimilation
Author | : L. Bengtsson |
Publisher | : |
Total Pages | : |
Release | : 1985 |
Genre | : Weather forecasting |
ISBN | : |
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Author | : L. Bengtsson |
Publisher | : |
Total Pages | : |
Release | : 1985 |
Genre | : Weather forecasting |
ISBN | : |
Author | : Monique Tanguay |
Publisher | : |
Total Pages | : 997 |
Release | : 1995 |
Genre | : |
ISBN | : |
Author | : National Research Council |
Publisher | : National Academies Press |
Total Pages | : 89 |
Release | : 1991-02-01 |
Genre | : Science |
ISBN | : 0309045363 |
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 Administration (NASA) |
Publisher | : Createspace Independent Publishing Platform |
Total Pages | : 94 |
Release | : 2018-07-08 |
Genre | : |
ISBN | : 9781722436438 |
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...
Author | : Julie Noonan |
Publisher | : |
Total Pages | : 6 |
Release | : 1996 |
Genre | : Air |
ISBN | : |
Author | : |
Publisher | : |
Total Pages | : |
Release | : 1999* |
Genre | : |
ISBN | : |
Author | : Alberto Mendoza Dominguez |
Publisher | : |
Total Pages | : 490 |
Release | : 2000 |
Genre | : Air quality |
ISBN | : |
Author | : |
Publisher | : |
Total Pages | : 9 |
Release | : 2002 |
Genre | : |
ISBN | : |
The estimation of oceanic environmental and acoustical fields is considered as a single coupled data assimilation problem. The four-dimensional data assimilation methodology employed is Error Subspace Statistical Estimation. Environmental fields and their dominant uncertainties are predicted by an ocean dynamical model and transferred to acoustical fields and uncertainties by an acoustic propagation model. The resulting coupled dominant uncertainties define the error subspace. The available physical and acoustical data are then assimilated into the predicted fields in accord with the error subspace and all data uncertainties. The criterion for data assimilation is presently to correct the predicted fields such that the total error variance in the error subspace is minimized. The approach is exemplified for the New England continental shelfbreak region, using data collected during the 1996 Shelfbreak Primer Experiment. The methodology is discussed, computational issues are outlined and the assimilation of model-simulated acoustical data is carried out. Results are encouraging and provide some insights into the dominant variability and uncertainty properties of acoustical fields.
Author | : Xiang-Yu Huang |
Publisher | : |
Total Pages | : 44 |
Release | : 2002 |
Genre | : |
ISBN | : |
Author | : Seon Ki Park |
Publisher | : Springer Science & Business Media |
Total Pages | : 736 |
Release | : 2013-05-22 |
Genre | : Science |
ISBN | : 3642350887 |
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.