Nonlinear Effects In 4d Var
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Nonlinear Effects In 4d Var
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Author : M. Bonavita
language : en
Publisher:
Release Date : 2018
Nonlinear Effects In 4d Var written by M. Bonavita and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018 with Numerical weather forecasting categories.
Adaptive Observations In A 4d Var Framework Applied To The Nonlinear Burgers Equation Model
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Author : Md. Jakir Hossen
language : en
Publisher:
Release Date : 2008
Adaptive Observations In A 4d Var Framework Applied To The Nonlinear Burgers Equation Model written by Md. Jakir Hossen and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008 with categories.
The use of targeted observations supplementing routine observations contributes to the reduction of the forecast analysis error and can provide improved forecast of weather events of critical societal impact, for instance, hurricanes, tornadoes, sharp fronts etc. The optimal space and time locations of the adaptive observations can be determined by using a singular vector approach. In our work we use both adjoint sensitivity and sensitivity to observation approaches to identify the optimal space and time locations for targeted observations at future time aimed at providing an improved forecast. Both approaches are compared in this work and some conclusions are outlined.
Data Assimilation For The Geosciences
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Author : Steven J. Fletcher
language : en
Publisher: Elsevier
Release Date : 2022-11-16
Data Assimilation For The Geosciences written by Steven J. Fletcher and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-11-16 with Science categories.
Data Assimilation for the Geosciences: From Theory to Application, Second Edition brings together all of the mathematical and statistical background knowledge needed to formulate data assimilation systems into one place. It includes practical exercises enabling readers to apply theory in both a theoretical formulation as well as teach them how to code the theory with toy problems to verify their understanding. It also demonstrates how data assimilation systems are implemented in larger scale fluid dynamical problems related to land surface, the atmosphere, ocean and other geophysical situations. The second edition of Data Assimilation for the Geosciences has been revised with up to date research that is going on in data assimilation, as well as how to apply the techniques. The new edition features an introduction of how machine learning and artificial intelligence are interfacing and aiding data assimilation. In addition to appealing to students and researchers across the geosciences, this now also appeals to new students and scientists in the field of data assimilation as it will now have even more information on the techniques, research, and applications, consolidated into one source. Includes practical exercises and solutions enabling readers to apply theory in both a theoretical formulation as well as enabling them to code theory Provides the mathematical and statistical background knowledge needed to formulate data assimilation systems into one place New to this edition: covers new topics such as Observing System Experiments (OSE) and Observing System Simulation Experiments; and expanded approaches for machine learning and artificial intelligence
Advanced Data Assimilation For Geosciences
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Author : Marc Bocquet
language : en
Publisher: Lecture Notes of the Les Houch
Release Date : 2014
Advanced Data Assimilation For Geosciences written by Marc Bocquet and has been published by Lecture Notes of the Les Houch this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014 with Science categories.
Data assimilation aims at determining as accurately as possible the state of a dynamical system by combining heterogeneous sources of information in an optimal way. Generally speaking, the mathematical methods of data assimilation describe algorithms for forming optimal combinations of observations of a system, a numerical model that describes its evolution, and appropriate prior information. Data assimilation has a long history of application to high-dimensional geophysical systems dating back to the 1960s, with application to the estimation of initial conditions for weather forecasts. It has become a major component of numerical forecasting systems in geophysics, and an intensive field of research, with numerous additional applications in oceanography, atmospheric chemistry, and extensions to other geophysical sciences. The physical complexity and the high dimensionality of geophysical systems have led the community of geophysics to make significant contributions to the fundamental theory of data assimilation. This book gathers notes from lectures and seminars given by internationally recognized scientists during a three-week school held in the Les Houches School of physics in 2012, on theoretical and applied data assimilation. It is composed of (i) a series of main lectures, presenting the fundamentals of the most commonly used methods, and the information theory background required to understand and evaluate the role of observations; (ii) a series of specialized lectures, addressing various aspects of data assimilation in detail, from the most recent developments of the theory to the specificities of various thematic applications.
Advanced Numerical Methods For Complex Environmental Models Needs And Availability
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Author : István Faragó
language : en
Publisher: Bentham Science Publishers
Release Date : 2013-12-10
Advanced Numerical Methods For Complex Environmental Models Needs And Availability written by István Faragó and has been published by Bentham Science Publishers this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-12-10 with Nature categories.
High air pollution levels pose a significant threat to plants, animals and human beings. Efforts by researchers are directed towards keeping air pollution levels below well defined ‘critical‘ levels in order to maintain a sustainable atmosphere and environmental system. The application of advanced mathematical models is important for researchers to achieve this goal as efficiently as possible. Mathematical models can be used to predict answers to many important questions about the environment. This application comes with several complex theoretical and practical obstacles which need to be resolved. A successfully applicable mathematical model needs to enable researchers to • Mathematically describe all important physical and chemical processes. • Apply fast and sufficiently accurate numerical methods. • Ensure that the model runs efficiently on modern high speed computers. • Use high quality input data, both meteorological data and emission inventories, in the runs. • Verify the model results by comparing them with reliable measurements taken in different parts of the spatial domain of the model. • Carry out long series of sensitivity experiments to check the response of the model to changes of different key parameters. • Visualize and animate the output results in order to make them easily understandable even to non-specialists. This monograph thoroughly describes mathematical methods useful for various situations in environmental modeling - including finite difference methods, splitting methods, parallel computation, etc. - and provides a framework for resolving problems posed in relation to the points listed above. Chapters are written by well-known specialists making this book a handy reference for researchers, university teachers and students working and studying in the areas of air pollution, meteorology, applied mathematics and computer science.
Nonlinear Climate Dynamics
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Author : Henk A. Dijkstra
language : en
Publisher: Cambridge University Press
Release Date : 2013-06-17
Nonlinear Climate Dynamics written by Henk A. Dijkstra and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-06-17 with Nature categories.
This book presents stochastic dynamical systems theory in order to synthesize our current knowledge of climate variability, for graduate students and researchers.
Monthly Weather Review
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Author :
language : en
Publisher:
Release Date : 2007
Monthly Weather Review written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007 with Meteorology categories.
Applicable Atmospheric Dynamics Techniques For The Exploration Of Atmospheric Dynamics
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Author : Istvan Szunyogh
language : en
Publisher: World Scientific
Release Date : 2014-09-12
Applicable Atmospheric Dynamics Techniques For The Exploration Of Atmospheric Dynamics written by Istvan Szunyogh and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-09-12 with Mathematics categories.
This book offers an overview of advanced techniques to study atmospheric dynamics by numerical experimentation. It is primarily intended for scientists and graduate students working on interdisciplinary research problems at the intersection of the atmospheric sciences, applied mathematics, statistics and physics. Scientists interested in adopting techniques from the atmospheric sciences to study other complex systems may also find most of the topics covered in the book interesting. The specific techniques covered in the book have either proven or potential value in solving practical problems of atmospheric dynamics.
Nonlinear Processes In Geophysics
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Author :
language : en
Publisher:
Release Date : 2008
Nonlinear Processes In Geophysics written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008 with Geophysics categories.
Uncertainty Quantification In Scientific Computing
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Author : Andrew Dienstfrey
language : en
Publisher: Springer
Release Date : 2012-08-11
Uncertainty Quantification In Scientific Computing written by Andrew Dienstfrey and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-08-11 with Computers categories.
This book constitutes the refereed post-proceedings of the 10th IFIP WG 2.5 Working Conference on Uncertainty Quantification in Scientific Computing, WoCoUQ 2011, held in Boulder, CO, USA, in August 2011. The 24 revised papers were carefully reviewed and selected from numerous submissions. They are organized in the following topical sections: UQ need: risk, policy, and decision making, UQ theory, UQ tools, UQ practice, and hot topics. The papers are followed by the records of the discussions between the participants and the speaker.