Forecast Error Correction using Dynamic Data Assimilation

Forecast Error Correction using Dynamic Data Assimilation
Title Forecast Error Correction using Dynamic Data Assimilation PDF eBook
Author Sivaramakrishnan Lakshmivarahan
Publisher Springer
Pages 278
Release 2016-10-21
Genre Computers
ISBN 3319399977

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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.

Dynamic Data Assimilation

Dynamic Data Assimilation
Title Dynamic Data Assimilation PDF eBook
Author John M. Lewis
Publisher Cambridge University Press
Pages 601
Release 2006-08-03
Genre Mathematics
ISBN 0521851556

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Data Assimilation for Atmospheric, Oceanic and Hydrologic Applications (Vol. IV)

Data Assimilation for Atmospheric, Oceanic and Hydrologic Applications (Vol. IV)
Title Data Assimilation for Atmospheric, Oceanic and Hydrologic Applications (Vol. IV) PDF eBook
Author Seon Ki Park
Publisher Springer Nature
Pages 707
Release 2021-11-09
Genre Science
ISBN 3030777227

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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.

Data Assimilation for Atmospheric, Oceanic and Hydrologic Applications (Vol. III)

Data Assimilation for Atmospheric, Oceanic and Hydrologic Applications (Vol. III)
Title Data Assimilation for Atmospheric, Oceanic and Hydrologic Applications (Vol. III) PDF eBook
Author Seon Ki Park
Publisher Springer
Pages 576
Release 2016-12-26
Genre Science
ISBN 3319434152

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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.

50th Anniversary of the Metaphorical Butterfly Effect since Lorenz (1972)

50th Anniversary of the Metaphorical Butterfly Effect since Lorenz (1972)
Title 50th Anniversary of the Metaphorical Butterfly Effect since Lorenz (1972) PDF eBook
Author Bo-Wen Shen
Publisher MDPI AG
Pages 338
Release 2023-10-11
Genre Education
ISBN 3036589104

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Celebrate the 50th anniversary of the metaphorical butterfly effect, born from Edward Lorenz's 1963 work on initial condition sensitivity. In 1972, it became a metaphor for illustrating how minor changes could yield an organized system. Lorenz Models: Chaos & Regime Changes Explore Lorenz models' 1960-2008 evolution, chaos theory, and attractors. Unraveling High-dimensional Instability Challenge norms in "Butterfly Effect without Chaos?" as non-chaotic elements contribute uniquely. Modeling Atmospheric Dynamics Delve into atmospheric dynamics via "Storm Sensitivity Study." Navigating Data Assimilation Explore data assimilation's dance in chaotic and nonchaotic settings via the observability Gramian. Chaos, Instability, Sensitivities Explore chaos, instability, and sensitivities with Lorenz 1963 & 1969 models. Unraveling Tropical Mysteries Investigate tropical atmospheric instability, uncovering oscillation origins and cloud-radiation interactions. Chaos and Order Enter atmospheric regimes, exploring attractor coexistence and predictability. The Art of Prediction Peer into predictability realms, tracing the "butterfly effect's" impact on predictions. Navigating Typhoons Journey through typhoons, exploring rainfall and typhoon trajectory prediction. Analyzing Sea Surface Temperature Examine nonlinear analysis for classification. Computational Fluid Dynamics Immerse in geophysical fluid dynamics progress, simulating atmospheric phenomena.

Selected Papers from the 14th Estuarine and Coastal Modeling Conference

Selected Papers from the 14th Estuarine and Coastal Modeling Conference
Title Selected Papers from the 14th Estuarine and Coastal Modeling Conference PDF eBook
Author Richard P. Signell
Publisher MDPI
Pages 421
Release 2018-06-27
Genre Computers
ISBN 3038423629

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This book is a printed edition of the Special Issue "Selected Papers from the 14th Estuarine and Coastal Modeling Conference" that was published in JMSE

Advances in Nonlinear Dynamics

Advances in Nonlinear Dynamics
Title Advances in Nonlinear Dynamics PDF eBook
Author Walter Lacarbonara
Publisher Springer Nature
Pages 598
Release 2022-03-01
Genre Technology & Engineering
ISBN 3030811700

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This third of three volumes includes papers from the second series of NODYCON, which was held virtually in February of 2021. The conference papers reflect a broad coverage of topics in nonlinear dynamics, ranging from traditional topics from established streams of research to those from relatively unexplored and emerging venues of research. These include · Complex dynamics of COVID-19: modeling, prediction and control · Nonlinear phenomena in bio-systems and eco-systems · Energy harvesting · MEMS/NEMS · Multifunctional structures, materials and metamaterials · Nonlinear waves · Chaotic systems, stochasticity, and uncertainty