Long-Range Dependence and Sea Level Forecasting
Long-Range Dependence and Sea Level Forecasting

Author: Ali Ercan

Publisher: Springer Science & Business Media

Published: 2013-08-30

Total Pages: 54

ISBN-13: 3319015052

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​This study shows that the Caspian Sea level time series possess long range dependence even after removing linear trends, based on analyses of the Hurst statistic, the sample autocorrelation functions, and the periodogram of the series. Forecasting performance of ARMA, ARIMA, ARFIMA and Trend Line-ARFIMA (TL-ARFIMA) combination models are investigated. The forecast confidence bands and the forecast updating methodology, provided for ARIMA models in the literature, are modified for the ARFIMA models. Sample autocorrelation functions are utilized to estimate the differencing lengths of the ARFIMA models. The confidence bands of the forecasts are estimated using the probability densities of the residuals without assuming a known distribution. There are no long-term sea level records for the region of Peninsular Malaysia and Malaysia’s Sabah-Sarawak northern region of Borneo Island. In such cases the Global Climate Model (GCM) projections for the 21st century can be downscaled to the Malaysia region by means of regression techniques, utilizing the short records of satellite altimeters in this region against the GCM projections during a mutual observation period. This book will be useful for engineers and researchers working in the areas of applied statistics, climate change, sea level change, time series analysis, applied earth sciences, and nonlinear dynamics.

Weather Forecasting
Weather Forecasting

Author: Muhammad Saifullah

Publisher: BoD – Books on Demand

Published: 2021-10-13

Total Pages: 124

ISBN-13: 1839680539

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Weather warnings are important because governments use them to protect life and property. In addition, predicting temperature and precipitation is important for agriculture. As such, weather forecasting is an integral part of meeting targets 2 and 13 of the United Nations’ Sustainable Development Goals: zero hunger and climate action, respectively. This book presents recent developments in scientific research on weather and climate in the extreme environments of Asian, African, and European regions. It provides in-depth case studies from Pakistan, the United States, Vietnam, Nigeria, and Africa. The global and inter-disciplinary results of these studies help us to understand and address the grand challenges of weather as well as its impact on society.

The Ocean and Cryosphere in a Changing Climate
The Ocean and Cryosphere in a Changing Climate

Author: Intergovernmental Panel on Climate Change (IPCC)

Publisher: Cambridge University Press

Published: 2022-04-30

Total Pages: 755

ISBN-13: 9781009157971

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The Intergovernmental Panel on Climate Change (IPCC) is the leading international body for assessing the science related to climate change. It provides policymakers with regular assessments of the scientific basis of human-induced climate change, its impacts and future risks, and options for adaptation and mitigation. This IPCC Special Report on the Ocean and Cryosphere in a Changing Climate is the most comprehensive and up-to-date assessment of the observed and projected changes to the ocean and cryosphere and their associated impacts and risks, with a focus on resilience, risk management response options, and adaptation measures, considering both their potential and limitations. It brings together knowledge on physical and biogeochemical changes, the interplay with ecosystem changes, and the implications for human communities. It serves policymakers, decision makers, stakeholders, and all interested parties with unbiased, up-to-date, policy-relevant information. This title is also available as Open Access on Cambridge Core.

Economic Growth and Development in the Tropics
Economic Growth and Development in the Tropics

Author: Sook Rei Tan

Publisher: Taylor & Francis

Published: 2024-02-06

Total Pages: 299

ISBN-13: 1003848982

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The living standards and scale of development around the world are vastly unequal. One notable observation is that much of the poverty-stricken area is located between the tropics of Cancer and Capricorn. By contrast, affluent nations are situated in more temperate zones. Such a phenomenon gives weight to the geography hypothesis that seeks to explain the occurrence of global economic inequality, by placing an emphasis on the importance of natural elements such as location and climate in determining the economic conditions of a nation. This book concentrates exclusively and in depth on the key economic phenomena and factors which shape tropical economies today. It examines contemporary economic problems confronting the tropical countries and provides policy recommendations that align with the United Nations’ Sustainable Development Goals set in the 2030 Agenda. It contains research works and case studies of tropical economies that are related to the area of development and environment economics. The book’s themes range from economic growth, poverty reduction, income inequality, economic globalization, international trade, capital flow, financial development, and institutional development to environmental sustainability within the Tropics. Recognizing the dynamism and diversity of the tropics, the book encompasses empirical and policy analyses that address the key economic issues and challenges in the region so as to provide an important platform from which new policymaking initiatives can flourish. This book will draw readership primarily from the fields of economics and public policy, particularly under the subject areas of development and environment economics, as well as discussions in the sustainability policy space.

Statistical Postprocessing of Ensemble Forecasts
Statistical Postprocessing of Ensemble Forecasts

Author: Stéphane Vannitsem

Publisher: Elsevier

Published: 2018-05-17

Total Pages: 364

ISBN-13: 012812248X

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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

Multi-Fractal Traffic and Anomaly Detection in Computer Communications
Multi-Fractal Traffic and Anomaly Detection in Computer Communications

Author: Ming Li

Publisher: CRC Press

Published: 2022-12-29

Total Pages: 297

ISBN-13: 100081789X

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This book provides a comprehensive theory of mono- and multi-fractal traffic, including the basics of long-range dependent time series and 1/f noise, ergodicity and predictability of traffic, traffic modeling and simulation, stationarity tests of traffic, traffic measurement and the anomaly detection of traffic in communications networks. Proving that mono-fractal LRD time series is ergodic, the book exhibits that LRD traffic is stationary. The author shows that the stationarity of multi-fractal traffic relies on observation time scales, and proposes multi-fractional generalized Cauchy processes and modified multi-fractional Gaussian noise. The book also establishes a set of guidelines for determining the record length of traffic in measurement. Moreover, it presents an approach of traffic simulation, as well as the anomaly detection of traffic under distributed-denial-of service attacks. Scholars and graduates studying network traffic in computer science will find the book beneficial.

Nonlinear Time Series Analysis in the Geosciences
Nonlinear Time Series Analysis in the Geosciences

Author: Reik V. Donner

Publisher: Springer Science & Business Media

Published: 2008-08-18

Total Pages: 392

ISBN-13: 3540789375

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The understanding of dynamical processes in the complex system “Earth” requires the appropriate analysis of a large amount of data from observations and/or model simulations. In this volume, modern nonlinear approaches are introduced and used to study specifiic questions relevant to present-day geoscience. The approaches include spatio-temporal methods, time-frequency analysis, dimension analysis (in particular, for multivariate data), nonlinear statistical decomposition, methods designed for treating data with uneven sampling or missing values, nonlinear correlation and synchronization analysis, surrogate data techniques, network approaches, and nonlinear methods of noise reduction. This book aims to present a collection of state-of-the-art scientific contributions used in current studies by some of the world's leading scientists in this field.

Computational Science and Technology
Computational Science and Technology

Author: Rayner Alfred

Publisher: Springer Nature

Published: 2021-04-16

Total Pages: 585

ISBN-13: 981334069X

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This book gathers the proceedings of the Seventh International Conference on Computational Science and Technology 2020 (ICCST 2020), held in Pattaya, Thailand, on 29–30 August 2020. The respective contributions offer practitioners and researchers a range of new computational techniques and solutions, identify emerging issues, and outline future research directions, while also showing them how to apply the latest large-scale, high-performance computational methods.

El Niño Southern Oscillation in a Changing Climate
El Niño Southern Oscillation in a Changing Climate

Author: Michael J. McPhaden

Publisher: John Wiley & Sons

Published: 2020-11-24

Total Pages: 528

ISBN-13: 1119548128

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Comprehensive and up-to-date information on Earth’s most dominant year-to-year climate variation The El Niño Southern Oscillation (ENSO) in the Pacific Ocean has major worldwide social and economic consequences through its global scale effects on atmospheric and oceanic circulation, marine and terrestrial ecosystems, and other natural systems. Ongoing climate change is projected to significantly alter ENSO's dynamics and impacts. El Niño Southern Oscillation in a Changing Climate presents the latest theories, models, and observations, and explores the challenges of forecasting ENSO as the climate continues to change. Volume highlights include: Historical background on ENSO and its societal consequences Review of key El Niño (ENSO warm phase) and La Niña (ENSO cold phase) characteristics Mathematical description of the underlying physical processes that generate ENSO variations Conceptual framework for understanding ENSO changes on decadal and longer time scales, including the response to greenhouse gas forcing ENSO impacts on extreme ocean, weather, and climate events, including tropical cyclones, and how ENSO affects fisheries and the global carbon cycle Advances in modeling, paleo-reconstructions, and operational climate forecasting Future projections of ENSO and its impacts Factors influencing ENSO events, such as inter-basin climate interactions and volcanic eruptions The American Geophysical Union promotes discovery in Earth and space science for the benefit of humanity. Its publications disseminate scientific knowledge and provide resources for researchers, students, and professionals. Find out more about this book from this Q&A with the editors.