Predicting Storm Surges Chaos Computational Intelligence Data Assimilation And Ensembles

Download Predicting Storm Surges Chaos Computational Intelligence Data Assimilation And Ensembles full books in PDF, epub, and Kindle. Read online Predicting Storm Surges Chaos Computational Intelligence Data Assimilation And Ensembles ebook anywhere anytime directly on your device. Fast Download speed and no annoying ads. We cannot guarantee that every ebooks is available!

Predicting Storm Surges: Chaos, Computational Intelligence, Data Assimilation and Ensembles

Author : Michael Siek
Publisher : CRC Press
ISBN 13 : 041562102X
Total Pages : 239 pages
Book Rating : 4.4/5 (156 download)

DOWNLOAD NOW!

Book Synopsis Predicting Storm Surges: Chaos, Computational Intelligence, Data Assimilation and Ensembles by : Michael Siek

Download or read book Predicting Storm Surges: Chaos, Computational Intelligence, Data Assimilation and Ensembles written by Michael Siek and published by CRC Press. This book was released on 2011-12-16 with total page 239 pages. Available in PDF, EPUB and Kindle. Book excerpt: Accurate predictions of storm surge are of importance in many coastal areas in the world to avoid and mitigate its destructive impacts. For this purpose the physically-based (process) numerical models are typically utilized. However, in data-rich cases, one may use data-driven methods aiming at reconstructing the internal patterns of the modelled processes and relationships between the observed descriptive variables. This book focuses on data-driven modelling using methods of nonlinear dynamics and chaos theory. First, some fundamentals of physical oceanography, nonlinear dynamics and chaos, computational intelligence and European operational storm surge models are covered. After that a number of improvements in building chaotic models are presented: nonlinear time series analysis, multi-step prediction, phase space dimensionality reduction, techniques dealing with incomplete time series, phase error correction, finding true neighbours, optimization of chaotic model, data assimilation and multi-model ensemble prediction. The major case study is surge prediction in the North Sea, with some tests on a Caribbean Sea case. The modelling results showed that the enhanced predictive chaotic models can serve as an efficient tool for accurate and reliable short and mid-term predictions of storm surges in order to support decision-makers for flood prediction and ship navigation.

Deep Learning in Multi-step Prediction of Chaotic Dynamics

Author : Matteo Sangiorgio
Publisher : Springer Nature
ISBN 13 : 3030944824
Total Pages : 111 pages
Book Rating : 4.0/5 (39 download)

DOWNLOAD NOW!

Book Synopsis Deep Learning in Multi-step Prediction of Chaotic Dynamics by : Matteo Sangiorgio

Download or read book Deep Learning in Multi-step Prediction of Chaotic Dynamics written by Matteo Sangiorgio and published by Springer Nature. This book was released on 2022-02-14 with total page 111 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book represents the first attempt to systematically deal with the use of deep neural networks to forecast chaotic time series. Differently from most of the current literature, it implements a multi-step approach, i.e., the forecast of an entire interval of future values. This is relevant for many applications, such as model predictive control, that requires predicting the values for the whole receding horizon. Going progressively from deterministic models with different degrees of complexity and chaoticity to noisy systems and then to real-world cases, the book compares the performances of various neural network architectures (feed-forward and recurrent). It also introduces an innovative and powerful approach for training recurrent structures specific for sequence-to-sequence tasks. The book also presents one of the first attempts in the context of environmental time series forecasting of applying transfer-learning techniques such as domain adaptation.

Harold Pinter's Party Time

Author : White G. D.
Publisher :
ISBN 13 : 9781138472914
Total Pages : 70 pages
Book Rating : 4.4/5 (729 download)

DOWNLOAD NOW!

Book Synopsis Harold Pinter's Party Time by : White G. D.

Download or read book Harold Pinter's Party Time written by White G. D. and published by . This book was released on 2017-09-11 with total page 70 pages. Available in PDF, EPUB and Kindle. Book excerpt: All you have do is shut up and enjoy the hospitality.' Terry Harold Pinter's Party Time (1991) is an extraordinary distillation of the playwright's key concerns. Pulsing with political anger, it marks a stepping stone on Pinter's path from iconic dramatist of existential unease to Nobel Prize-winning poet of human rights. G. D. White situates this underrated play within a recognisably 'Pinteresque' landscape of ambiguous, brittle social drama while also recognising its particularity: Party Time is haunted by Augusto Pinochet's right-wing coup against Salvador Allende's democratically elected government in Chile. This book considers the play and its confederate works in the dual context of Pinter's literary career and burgeoning international concern with human rights and freedom of expression. White contrasts Pinter's uneasy relationship with the UK's powerful elite with the worldwide acclaim garnered by his dramatic eviscerations of power.

Storm-surge Forecasting

Author : J. W. Nickerson
Publisher :
ISBN 13 :
Total Pages : 114 pages
Book Rating : 4.:/5 (318 download)

DOWNLOAD NOW!

Book Synopsis Storm-surge Forecasting by : J. W. Nickerson

Download or read book Storm-surge Forecasting written by J. W. Nickerson and published by . This book was released on 1971 with total page 114 pages. Available in PDF, EPUB and Kindle. Book excerpt: The report contains an adaptation of a unique storm-surge forecasting technique developed by Dr. C.P. Jelesnianski. This technique results in a computed storm surge profile at the inner boundary of an artificial standard basin seaward of the coast. The profile is derived from nomograms based upon a standard storm passing over a standard basin. Thumb rules and guidelines are presented in the publication for subjectively modifying the computer storm surge height as it moves shoreward of the artificial basin boundary, to fit the natural conditions of a particular coastline. Major advantages of this system are its applicability to almost any locale, its adaptability to data normally available to the field forecaster and the speed with which the forecast may be modified to remain current with natural fluctuations of the storm.

Analysis and optimization of chaotic model for storm surge prediction

Author : O.E. Hernandez Murcia
Publisher :
ISBN 13 :
Total Pages : pages
Book Rating : 4.:/5 (662 download)

DOWNLOAD NOW!

Book Synopsis Analysis and optimization of chaotic model for storm surge prediction by : O.E. Hernandez Murcia

Download or read book Analysis and optimization of chaotic model for storm surge prediction written by O.E. Hernandez Murcia and published by . This book was released on 2009 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Guide to Storm Surge Forecasting

Author : Organisation Météorologique Mondiale
Publisher :
ISBN 13 : 9789263110763
Total Pages : pages
Book Rating : 4.1/5 (17 download)

DOWNLOAD NOW!

Book Synopsis Guide to Storm Surge Forecasting by : Organisation Météorologique Mondiale

Download or read book Guide to Storm Surge Forecasting written by Organisation Météorologique Mondiale and published by . This book was released on 2011 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Statistical Postprocessing of Ensemble Forecasts

Author : Stéphane Vannitsem
Publisher : Elsevier
ISBN 13 : 012812248X
Total Pages : 364 pages
Book Rating : 4.1/5 (281 download)

DOWNLOAD NOW!

Book Synopsis Statistical Postprocessing of Ensemble Forecasts by : Stéphane Vannitsem

Download or read book Statistical Postprocessing of Ensemble Forecasts written by Stéphane Vannitsem and published by Elsevier. This book was released on 2018-05-17 with total page 364 pages. Available in PDF, EPUB and Kindle. Book excerpt: Statistical Postprocessing of Ensemble Forecasts brings together chapters contributed by international subject-matter experts describing the current state of the art in the statistical postprocessing of ensemble forecasts. The book illustrates the use of these methods in several important applications including weather, hydrological and climate forecasts, and renewable energy forecasting. After an introductory section on ensemble forecasts and prediction systems, the second section of the book is devoted to exposition of the methods available for statistical postprocessing of ensemble forecasts: univariate and multivariate ensemble postprocessing are first reviewed by Wilks (Chapters 3), then Schefzik and Möller (Chapter 4), and the more specialized perspective necessary for postprocessing forecasts for extremes is presented by Friederichs, Wahl, and Buschow (Chapter 5). The second section concludes with a discussion of forecast verification methods devised specifically for evaluation of ensemble forecasts (Chapter 6 by Thorarinsdottir and Schuhen). The third section of this book is devoted to applications of ensemble postprocessing. Practical aspects of ensemble postprocessing are first detailed in Chapter 7 (Hamill), including an extended and illustrative case study. Chapters 8 (Hemri), 9 (Pinson and Messner), and 10 (Van Schaeybroeck and Vannitsem) discuss ensemble postprocessing specifically for hydrological applications, postprocessing in support of renewable energy applications, and postprocessing of long-range forecasts from months to decades. Finally, Chapter 11 (Messner) provides a guide to the ensemble-postprocessing software available in the R programming language, which should greatly help readers implement many of the ideas presented in this book. Edited by three experts with strong and complementary expertise in statistical postprocessing of ensemble forecasts, this book assesses the new and rapidly developing field of ensemble forecast postprocessing as an extension of the use of statistical corrections to traditional deterministic forecasts. Statistical Postprocessing of Ensemble Forecasts is an essential resource for researchers, operational practitioners, and students in weather, seasonal, and climate forecasting, as well as users of such forecasts in fields involving renewable energy, conventional energy, hydrology, environmental engineering, and agriculture. Consolidates, for the first time, the methodologies and applications of ensemble forecasts in one succinct place Provides real-world examples of methods used to formulate forecasts Presents the tools needed to make the best use of multiple model forecasts in a timely and efficient manner

Artificial Intelligence Methods in the Environmental Sciences

Author : Sue Ellen Haupt
Publisher : Springer Science & Business Media
ISBN 13 : 1402091192
Total Pages : 418 pages
Book Rating : 4.4/5 (2 download)

DOWNLOAD NOW!

Book Synopsis Artificial Intelligence Methods in the Environmental Sciences by : Sue Ellen Haupt

Download or read book Artificial Intelligence Methods in the Environmental Sciences written by Sue Ellen Haupt and published by Springer Science & Business Media. This book was released on 2008-11-28 with total page 418 pages. Available in PDF, EPUB and Kindle. Book excerpt: How can environmental scientists and engineers use the increasing amount of available data to enhance our understanding of planet Earth, its systems and processes? This book describes various potential approaches based on artificial intelligence (AI) techniques, including neural networks, decision trees, genetic algorithms and fuzzy logic. Part I contains a series of tutorials describing the methods and the important considerations in applying them. In Part II, many practical examples illustrate the power of these techniques on actual environmental problems. International experts bring to life ways to apply AI to problems in the environmental sciences. While one culture entwines ideas with a thread, another links them with a red line. Thus, a “red thread“ ties the book together, weaving a tapestry that pictures the ‘natural’ data-driven AI methods in the light of the more traditional modeling techniques, and demonstrating the power of these data-based methods.

Flood Forecasting Using Machine Learning Methods

Author : Fi-John Chang
Publisher : MDPI
ISBN 13 : 3038975486
Total Pages : 376 pages
Book Rating : 4.0/5 (389 download)

DOWNLOAD NOW!

Book Synopsis Flood Forecasting Using Machine Learning Methods by : Fi-John Chang

Download or read book Flood Forecasting Using Machine Learning Methods written by Fi-John Chang and published by MDPI. This book was released on 2019-02-28 with total page 376 pages. Available in PDF, EPUB and Kindle. Book excerpt: Nowadays, the degree and scale of flood hazards has been massively increasing as a result of the changing climate, and large-scale floods jeopardize lives and properties, causing great economic losses, in the inundation-prone areas of the world. Early flood warning systems are promising countermeasures against flood hazards and losses. A collaborative assessment according to multiple disciplines, comprising hydrology, remote sensing, and meteorology, of the magnitude and impacts of flood hazards on inundation areas significantly contributes to model the integrity and precision of flood forecasting. Methodologically oriented countermeasures against flood hazards may involve the forecasting of reservoir inflows, river flows, tropical cyclone tracks, and flooding at different lead times and/or scales. Analyses of impacts, risks, uncertainty, resilience, and scenarios coupled with policy-oriented suggestions will give information for flood hazard mitigation. Emerging advances in computing technologies coupled with big-data mining have boosted data-driven applications, among which Machine Learning technology, with its flexibility and scalability in pattern extraction, has modernized not only scientific thinking but also predictive applications. This book explores recent Machine Learning advances on flood forecast and management in a timely manner and presents interdisciplinary approaches to modelling the complexity of flood hazards-related issues, with contributions to integrative solutions from a local, regional or global perspective.

Assessment of Intraseasonal to Interannual Climate Prediction and Predictability

Author : National Research Council
Publisher : National Academies Press
ISBN 13 : 030915183X
Total Pages : 192 pages
Book Rating : 4.3/5 (91 download)

DOWNLOAD NOW!

Book Synopsis Assessment of Intraseasonal to Interannual Climate Prediction and Predictability by : National Research Council

Download or read book Assessment of Intraseasonal to Interannual Climate Prediction and Predictability written by National Research Council and published by National Academies Press. This book was released on 2010-10-08 with total page 192 pages. Available in PDF, EPUB and Kindle. Book excerpt: More accurate forecasts of climate conditions over time periods of weeks to a few years could help people plan agricultural activities, mitigate drought, and manage energy resources, amongst other activities; however, current forecast systems have limited ability on these time- scales. Models for such climate forecasts must take into account complex interactions among the ocean, atmosphere, and land surface. Such processes can be difficult to represent realistically. To improve the quality of forecasts, this book makes recommendations about the development of the tools used in forecasting and about specific research goals for improving understanding of sources of predictability. To improve the accessibility of these forecasts to decision-makers and researchers, this book also suggests best practices to improve how forecasts are made and disseminated.

Thriving on Our Changing Planet: A Decadal Strategy for Earth Observation from Space

Author : National Academies of Sciences, Engineering, and Medicine
Publisher : National Academies Press
ISBN 13 : 0309492432
Total Pages : 29 pages
Book Rating : 4.3/5 (94 download)

DOWNLOAD NOW!

Book Synopsis Thriving on Our Changing Planet: A Decadal Strategy for Earth Observation from Space by : National Academies of Sciences, Engineering, and Medicine

Download or read book Thriving on Our Changing Planet: A Decadal Strategy for Earth Observation from Space written by National Academies of Sciences, Engineering, and Medicine and published by National Academies Press. This book was released on 2019-06-18 with total page 29 pages. Available in PDF, EPUB and Kindle. Book excerpt: We live on a dynamic Earth shaped by both natural processes and the impacts of humans on their environment. It is in our collective interest to observe and understand our planet, and to predict future behavior to the extent possible, in order to effectively manage resources, successfully respond to threats from natural and human-induced environmental change, and capitalize on the opportunities â€" social, economic, security, and more â€" that such knowledge can bring. By continuously monitoring and exploring Earth, developing a deep understanding of its evolving behavior, and characterizing the processes that shape and reshape the environment in which we live, we not only advance knowledge and basic discovery about our planet, but we further develop the foundation upon which benefits to society are built. Thriving on Our Changing Planet: A Decadal Strategy for Earth Observation from Space (National Academies Press, 2018) provides detailed guidance on how relevant federal agencies can ensure that the United States receives the maximum benefit from its investments in Earth observations from space, while operating within realistic cost constraints. This short booklet, designed to be accessible to the general public, provides a summary of the key ideas and recommendations from the full decadal survey report.

The Climate Demon

Author : R. Saravanan
Publisher : Cambridge University Press
ISBN 13 : 131651076X
Total Pages : 399 pages
Book Rating : 4.3/5 (165 download)

DOWNLOAD NOW!

Book Synopsis The Climate Demon by : R. Saravanan

Download or read book The Climate Demon written by R. Saravanan and published by Cambridge University Press. This book was released on 2021-10-21 with total page 399 pages. Available in PDF, EPUB and Kindle. Book excerpt: An introduction to the complex world of climate models that explains why we should trust their predictions despite the uncertainties.

A Vast Machine

Author : Paul N. Edwards
Publisher : MIT Press
ISBN 13 : 0262290715
Total Pages : 547 pages
Book Rating : 4.2/5 (622 download)

DOWNLOAD NOW!

Book Synopsis A Vast Machine by : Paul N. Edwards

Download or read book A Vast Machine written by Paul N. Edwards and published by MIT Press. This book was released on 2010-03-12 with total page 547 pages. Available in PDF, EPUB and Kindle. Book excerpt: The science behind global warming, and its history: how scientists learned to understand the atmosphere, to measure it, to trace its past, and to model its future. Global warming skeptics often fall back on the argument that the scientific case for global warming is all model predictions, nothing but simulation; they warn us that we need to wait for real data, “sound science.” In A Vast Machine Paul Edwards has news for these skeptics: without models, there are no data. Today, no collection of signals or observations—even from satellites, which can “see” the whole planet with a single instrument—becomes global in time and space without passing through a series of data models. Everything we know about the world's climate we know through models. Edwards offers an engaging and innovative history of how scientists learned to understand the atmosphere—to measure it, trace its past, and model its future.

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

Author : Seon Ki Park
Publisher : Springer Science & Business Media
ISBN 13 : 3642350887
Total Pages : 736 pages
Book Rating : 4.6/5 (423 download)

DOWNLOAD NOW!

Book Synopsis Data Assimilation for Atmospheric, Oceanic and Hydrologic Applications (Vol. II) by : Seon Ki Park

Download or read book Data Assimilation for Atmospheric, Oceanic and Hydrologic Applications (Vol. II) written by Seon Ki Park and published by Springer Science & Business Media. This book was released on 2013-05-22 with total page 736 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Artificial Neural Networks

Author : Joao Luis Garcia Rosa
Publisher : BoD – Books on Demand
ISBN 13 : 9535127047
Total Pages : 416 pages
Book Rating : 4.5/5 (351 download)

DOWNLOAD NOW!

Book Synopsis Artificial Neural Networks by : Joao Luis Garcia Rosa

Download or read book Artificial Neural Networks written by Joao Luis Garcia Rosa and published by BoD – Books on Demand. This book was released on 2016-10-19 with total page 416 pages. Available in PDF, EPUB and Kindle. Book excerpt: The idea of simulating the brain was the goal of many pioneering works in Artificial Intelligence. The brain has been seen as a neural network, or a set of nodes, or neurons, connected by communication lines. Currently, there has been increasing interest in the use of neural network models. This book contains chapters on basic concepts of artificial neural networks, recent connectionist architectures and several successful applications in various fields of knowledge, from assisted speech therapy to remote sensing of hydrological parameters, from fabric defect classification to application in civil engineering. This is a current book on Artificial Neural Networks and Applications, bringing recent advances in the area to the reader interested in this always-evolving machine learning technique.

Hydrological Data Driven Modelling

Author : Renji Remesan
Publisher : Springer
ISBN 13 : 3319092359
Total Pages : 261 pages
Book Rating : 4.3/5 (19 download)

DOWNLOAD NOW!

Book Synopsis Hydrological Data Driven Modelling by : Renji Remesan

Download or read book Hydrological Data Driven Modelling written by Renji Remesan and published by Springer. This book was released on 2014-11-03 with total page 261 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book explores a new realm in data-based modeling with applications to hydrology. Pursuing a case study approach, it presents a rigorous evaluation of state-of-the-art input selection methods on the basis of detailed and comprehensive experimentation and comparative studies that employ emerging hybrid techniques for modeling and analysis. Advanced computing offers a range of new options for hydrologic modeling with the help of mathematical and data-based approaches like wavelets, neural networks, fuzzy logic, and support vector machines. Recently machine learning/artificial intelligence techniques have come to be used for time series modeling. However, though initial studies have shown this approach to be effective, there are still concerns about their accuracy and ability to make predictions on a selected input space.

Flood Risk Assessment and Management

Author : Andreas H. Schumann
Publisher : Springer Science & Business Media
ISBN 13 : 9048199174
Total Pages : 281 pages
Book Rating : 4.0/5 (481 download)

DOWNLOAD NOW!

Book Synopsis Flood Risk Assessment and Management by : Andreas H. Schumann

Download or read book Flood Risk Assessment and Management written by Andreas H. Schumann and published by Springer Science & Business Media. This book was released on 2011-01-04 with total page 281 pages. Available in PDF, EPUB and Kindle. Book excerpt: Flood catastrophes which happened world-wide have shown that it is not sufficient to characterize the hazard caused by the natural phenomenon "flood" with the well-known 3M-approach (measuring, mapping and modelling). Due to the recent shift in paradigms from a safety oriented approach to risk based planning it became necessary to consider the harmful impacts of hazards. The planning tasks changed from attempts to minimise hazards towards interventions to reduce exposure or susceptibility and nowadays to enhance the capacities to increase resilience. Scientific interest shifts more and more towards interdisciplinary approaches, which are needed to avoid disaster. This book deals with many aspects of flood risk management in a comprehensive way. As risks depend on hazard and vulnerabilities, not only geophysical tools for flood forecasting and planning are presented, but also socio-economic problems of flood management are discussed. Starting with precipitation and meteorological tools to its forecasting, hydrological models are described in their applications for operational flood forecasts, considering model uncertainties and their interactions with hydraulic and groundwater models. With regard to flood risk planning, regionalization aspects and the options to utilize historic floods are discussed. New hydrological tools for flood risk assessments for dams and reservoirs are presented. Problems and options to quantify socio-economic risks and how to consider them in multi-criteria assessments of flood risk planning are discussed. This book contributes to the contemporary efforts to reduce flood risk at the European scale. Using many real-world examples, it is useful for scientists and practitioners at different levels and with different interests.