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Forecast Error Correction Using Dynamic Data Assimilation


Forecast Error Correction Using Dynamic Data Assimilation
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Forecast Error Correction Using Dynamic Data Assimilation


Forecast Error Correction Using Dynamic Data Assimilation
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Author : Sivaramakrishnan Lakshmivarahan
language : en
Publisher: Springer
Release Date : 2016-10-21

Forecast Error Correction Using Dynamic Data Assimilation written by Sivaramakrishnan Lakshmivarahan and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-10-21 with Computers categories.


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.



Data Assimilation For Atmospheric Oceanic And Hydrologic Applications Vol Iv


Data Assimilation For Atmospheric Oceanic And Hydrologic Applications Vol Iv
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Author : Seon Ki Park
language : en
Publisher: Springer Nature
Release Date : 2021-11-09

Data Assimilation For Atmospheric Oceanic And Hydrologic Applications Vol Iv written by Seon Ki Park and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-11-09 with Science categories.


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
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Author : Seon Ki Park
language : en
Publisher: Springer
Release Date : 2016-12-26

Data Assimilation For Atmospheric Oceanic And Hydrologic Applications Vol Iii written by Seon Ki Park and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-12-26 with Science categories.


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.



Selected Papers From The 14th Estuarine And Coastal Modeling Conference


Selected Papers From The 14th Estuarine And Coastal Modeling Conference
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Author : Richard P. Signell
language : en
Publisher: MDPI
Release Date : 2018-06-27

Selected Papers From The 14th Estuarine And Coastal Modeling Conference written by Richard P. Signell and has been published by MDPI this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-06-27 with Computers categories.


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





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Author :
language : en
Publisher: World Scientific
Release Date :

written by and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on with categories.




50th Anniversary Of The Metaphorical Butterfly Effect Since Lorenz 1972


50th Anniversary Of The Metaphorical Butterfly Effect Since Lorenz 1972
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Author : Bo-Wen Shen
language : en
Publisher: MDPI AG
Release Date : 2023-10-11

50th Anniversary Of The Metaphorical Butterfly Effect Since Lorenz 1972 written by Bo-Wen Shen and has been published by MDPI AG this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-10-11 with Education categories.


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.



Advances In Nonlinear Dynamics


Advances In Nonlinear Dynamics
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Author : Walter Lacarbonara
language : en
Publisher: Springer Nature
Release Date : 2022-03-01

Advances In Nonlinear Dynamics written by Walter Lacarbonara and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-03-01 with Technology & Engineering categories.


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



Modelling Under Risk And Uncertainty


Modelling Under Risk And Uncertainty
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Author : Etienne de Rocquigny
language : en
Publisher: John Wiley & Sons
Release Date : 2012-04-30

Modelling Under Risk And Uncertainty written by Etienne de Rocquigny and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-04-30 with Mathematics categories.


Modelling has permeated virtually all areas of industrial, environmental, economic, bio-medical or civil engineering: yet the use of models for decision-making raises a number of issues to which this book is dedicated: How uncertain is my model ? Is it truly valuable to support decision-making ? What kind of decision can be truly supported and how can I handle residual uncertainty ? How much refined should the mathematical description be, given the true data limitations ? Could the uncertainty be reduced through more data, increased modeling investment or computational budget ? Should it be reduced now or later ? How robust is the analysis or the computational methods involved ? Should / could those methods be more robust ? Does it make sense to handle uncertainty, risk, lack of knowledge, variability or errors altogether ? How reasonable is the choice of probabilistic modeling for rare events ? How rare are the events to be considered ? How far does it make sense to handle extreme events and elaborate confidence figures ? Can I take advantage of expert / phenomenological knowledge to tighten the probabilistic figures ? Are there connex domains that could provide models or inspiration for my problem ? Written by a leader at the crossroads of industry, academia and engineering, and based on decades of multi-disciplinary field experience, Modelling Under Risk and Uncertainty gives a self-consistent introduction to the methods involved by any type of modeling development acknowledging the inevitable uncertainty and associated risks. It goes beyond the “black-box” view that some analysts, modelers, risk experts or statisticians develop on the underlying phenomenology of the environmental or industrial processes, without valuing enough their physical properties and inner modelling potential nor challenging the practical plausibility of mathematical hypotheses; conversely it is also to attract environmental or engineering modellers to better handle model confidence issues through finer statistical and risk analysis material taking advantage of advanced scientific computing, to face new regulations departing from deterministic design or support robust decision-making. Modelling Under Risk and Uncertainty: Addresses a concern of growing interest for large industries, environmentalists or analysts: robust modeling for decision-making in complex systems. Gives new insights into the peculiar mathematical and computational challenges generated by recent industrial safety or environmental control analysis for rare events. Implements decision theory choices differentiating or aggregating the dimensions of risk/aleatory and epistemic uncertainty through a consistent multi-disciplinary set of statistical estimation, physical modelling, robust computation and risk analysis. Provides an original review of the advanced inverse probabilistic approaches for model identification, calibration or data assimilation, key to digest fast-growing multi-physical data acquisition. Illustrated with one favourite pedagogical example crossing natural risk, engineering and economics, developed throughout the book to facilitate the reading and understanding. Supports Master/PhD-level course as well as advanced tutorials for professional training Analysts and researchers in numerical modeling, applied statistics, scientific computing, reliability, advanced engineering, natural risk or environmental science will benefit from this book.



Earth Gravity Field From Space From Sensors To Earth Sciences


Earth Gravity Field From Space From Sensors To Earth Sciences
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Author : G. Beutler
language : en
Publisher: Springer Science & Business Media
Release Date : 2013-04-18

Earth Gravity Field From Space From Sensors To Earth Sciences written by G. Beutler and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-04-18 with Science categories.


Volume resulting from an ISSI Workshop, 11-15 March 2002, Bern, Switzerland



Nasa Technical Paper


Nasa Technical Paper
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Author :
language : en
Publisher:
Release Date : 1981

Nasa Technical Paper written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1981 with Astronautics categories.