Understanding Atmospheric Rivers Using Machine Learning
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Understanding Atmospheric Rivers Using Machine Learning
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Author : Manish Kumar Goyal
language : en
Publisher: Springer Nature
Release Date :
Understanding Atmospheric Rivers Using Machine Learning written by Manish Kumar Goyal and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on with categories.
Atmospheric Rivers
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Author : F. Martin Ralph
language : en
Publisher: Springer Nature
Release Date : 2020-07-10
Atmospheric Rivers written by F. Martin Ralph and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-07-10 with Science categories.
This book is the standard reference based on roughly 20 years of research on atmospheric rivers, emphasizing progress made on key research and applications questions and remaining knowledge gaps. The book presents the history of atmospheric-rivers research, the current state of scientific knowledge, tools, and policy-relevant (science-informed) problems that lend themselves to real-world application of the research—and how the topic fits into larger national and global contexts. This book is written by a global team of authors who have conducted and published the majority of critical research on atmospheric rivers over the past years. The book is intended to benefit practitioners in the fields of meteorology, hydrology and related disciplines, including students as well as senior researchers.
Clouds And Climate
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Author : A. Pier Siebesma
language : en
Publisher: Cambridge University Press
Release Date : 2020-08-20
Clouds And Climate written by A. Pier Siebesma 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 2020-08-20 with Mathematics categories.
Comprehensive overview of research on clouds and their role in our present and future climate, for advanced students and researchers.
Aerosol Atmospheric Rivers
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Author : Manish Kumar Goyal
language : en
Publisher: Springer Nature
Release Date :
Aerosol Atmospheric Rivers written by Manish Kumar Goyal and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on with categories.
Flood Forecasting Using Machine Learning Methods
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Author : Fi-John Chang
language : en
Publisher: MDPI
Release Date : 2019-02-28
Flood Forecasting Using Machine Learning Methods written by Fi-John Chang and has been published by MDPI this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-02-28 with Technology & Engineering categories.
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.
Climate Extremes And Their Implications For Impact And Risk Assessment
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Author : Jana Sillmann
language : en
Publisher:
Release Date : 2019-11
Climate Extremes And Their Implications For Impact And Risk Assessment written by Jana Sillmann and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-11 with categories.
Climate extremes often imply significant impacts on human and natural systems, and these extreme events are anticipated to be among the potentially most harmful consequences of a changing climate. However, while extreme event impacts are increasingly recognized, methodologies to address such impacts and the degree of our understanding and prediction capabilities vary widely among different sectors and disciplines. Moreover, traditional climate extreme indices and large-scale multi-model intercomparisons that are used for future projections of extreme events and associated impacts often fall short in capturing the full complexity of impact systems. Climate Extremes and Their Implications for Impact and Risk Assessment describes challenges, opportunities and methodologies for the analysis of the impacts of climate extremes across various sectors to support their impact and risk assessment. It thereby also facilitates cross-sectoral and cross-disciplinary discussions and exchange among climate and impact scientists. The sectors covered include agriculture, terrestrial ecosystems, human health, transport, conflict, and more broadly covering the human-environment nexus. The book concludes with an outlook on the need for more transdisciplinary work and international collaboration between scientists and practitioners to address emergent risks and extreme events towards risk reduction and strengthened societal resilience. Provides an overview about past, present and future changes in climate and weather extremes and how to connect that knowledge to impact and risk assessment under global warming Presents different approaches to assess societal-relevant impacts and risk of climate and weather extremes, including compound events, and the complexity of risk cascades and the interconnectedness of societal risk Features applications across a diversity of sectors, including agriculture, health, ecosystem services and urban transport
Deep Learning For The Earth Sciences
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Author : Gustau Camps-Valls
language : en
Publisher: John Wiley & Sons
Release Date : 2021-08-16
Deep Learning For The Earth Sciences written by Gustau Camps-Valls 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 2021-08-16 with Technology & Engineering categories.
DEEP LEARNING FOR THE EARTH SCIENCES Explore this insightful treatment of deep learning in the field of earth sciences, from four leading voices Deep learning is a fundamental technique in modern Artificial Intelligence and is being applied to disciplines across the scientific spectrum; earth science is no exception. Yet, the link between deep learning and Earth sciences has only recently entered academic curricula and thus has not yet proliferated. Deep Learning for the Earth Sciences delivers a unique perspective and treatment of the concepts, skills, and practices necessary to quickly become familiar with the application of deep learning techniques to the Earth sciences. The book prepares readers to be ready to use the technologies and principles described in their own research. The distinguished editors have also included resources that explain and provide new ideas and recommendations for new research especially useful to those involved in advanced research education or those seeking PhD thesis orientations. Readers will also benefit from the inclusion of: An introduction to deep learning for classification purposes, including advances in image segmentation and encoding priors, anomaly detection and target detection, and domain adaptation An exploration of learning representations and unsupervised deep learning, including deep learning image fusion, image retrieval, and matching and co-registration Practical discussions of regression, fitting, parameter retrieval, forecasting and interpolation An examination of physics-aware deep learning models, including emulation of complex codes and model parametrizations Perfect for PhD students and researchers in the fields of geosciences, image processing, remote sensing, electrical engineering and computer science, and machine learning, Deep Learning for the Earth Sciences will also earn a place in the libraries of machine learning and pattern recognition researchers, engineers, and scientists.
Innovations In Machine Learning And Iot For Water Management
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Author : Kumar, Abhishek
language : en
Publisher: IGI Global
Release Date : 2023-11-27
Innovations In Machine Learning And Iot For Water Management written by Kumar, Abhishek and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-11-27 with Computers categories.
Water, our planet's life force, faces multiple challenges in the 21st century, including surging global demand, shifting climate patterns, and the urgent need for sustainable management. Guidance, knowledge, and hope is sharply needed in academia and technology industries, and Innovations in Machine Learning and IoT for Water Management is a formidable resource to provide these necessities. This book delves into the dynamic synergy of Artificial Intelligence (AI), Machine Learning (ML), and the Internet of Things (IoT), ushering in a new era of water resource stewardship. This book embarks on a journey through the frontiers of AI and IoT, unveiling their transformative impact on water management. From the vantage point of satellite imagery analysis, it scrutinizes the Earth's vital signs, unlocking crucial insights into water resources. It chronicles the rise of AI-powered predictive analytics, a revolutionary force propelling precision water usage and conservation. This book explains how IoT can be an effective tool to increase intelligence of our water systems. The book meticulously navigates through domains as diverse as aquifer monitoring, hydropower generation optimization, and predictive analytics for water consumption. This book caters to a diverse audience, from water management experts and environmental scientists to data science aficionados and IoT enthusiasts. Engineers seeking to reimagine the future of water systems, technology enthusiasts eager to delve into AI's potential, and individuals impassioned by preserving water will all find a well-needed resource in these pages.
North Pacific Atmospheric Rivers In A Warming Climate
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Author : Katerina Rae Gonzales
language : en
Publisher:
Release Date : 2021
North Pacific Atmospheric Rivers In A Warming Climate written by Katerina Rae Gonzales and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021 with categories.
Atmospheric rivers (ARs) are long, filamentary plumes of water vapor in motion. Colloquially known as "rivers in the sky", ARs live up to their name, as they transport more water than major global terrestrial rivers such as the Mississippi. ARs provide a large proportion of total precipitation to the West Coast states (Washington, Oregon, California), and an even larger proportion of extreme precipitation. Depending on its storm characteristics, (as well as its proximity in time to other ARs) an AR event may induce multiple compounding hazards--such as floods or landslides--and/or result in extensive water resource gains. Both the potential benefits and hazards motivate targeted research that bridges knowledge about AR processes and societally relevant surface impacts. This dissertation uses a combination of atmospheric reanalyses and station observations to characterize ARs landfalling along the West Coast of North America and their surface impacts. In doing so, it advances understanding of AR processes and characteristics in the observational era, as well as changes that have emerged over the past four decades. The first chapter provides the first quantification of AR temperature climatology and AR temperature trends. The chapter documents that West Coast ARs have warmed as much as 1.7°C in some regions. The rates of AR warming are attributed to a combination of trends in background land temperatures and pre-landfall AR track temperatures. Because ARs make up 30-50% of annual West Coast precipitation, increasing AR temperatures have implications for the proportion of rain vs. snow, which in turn has important implications for water availability, floods, and rain-on-snow hazards. The second chapter identifies different "flavors" of ARs based on the characterization of AR moisture transport as either moisture- or wind-dominated. The chapter documents that these flavors of ARs induce different magnitudes of surface winds and precipitation. For example, wind-dominated ARs are generally associated with greater precipitation than moisture-dominated events, which is particularly apparent in high IVT events and over mountainous regions. These differences in surface impacts are linked to differences in the large-scale atmospheric environment associated with the flavors, such as large-scale geopotential height patterns at the time of landfall. Finally, the chapter documents that annual average AR moisture dominance has significantly increased in the Pacific Northwest region over the 1980-2016 study period. The final chapter builds upon Chapter 1 and probes more deeply into AR temperature, quantifying temperature evolution from origin to landfall for the full suite of ARs making landfall along the Pacific coast of North America during the satellite-era (1980-2017). This work quantifies the role of various origin conditions such as temperature, precipitable water, integrated moisture transport and origin location in shaping AR temperature evolution. Of these, origin location and origin temperature are particularly influential in determining an AR's temperature evolution profile. Chapter 3 also investigates events associated with an extratropically-transitioning tropical cyclone ("ET-ARs"), which have been previously identified as a potentially hydroclimatically important subset of ARs. The chapter documents that although ET-ARs do not exhibit a different model of AR temperature evolution (i.e., origin location and temperature are equally influential in ET-ARs as the rest of the population), the distribution does exhibit significantly warmer landfall temperatures for ARs making landfall in British Columbia and Alaska. This dissertation identifies processes and characteristics that have implications for AR temperature and associated surface impacts (such as extreme winds and precipitation). The findings reveal the inherent diversity of ARs, including their characteristics and impacts at landfall (Chapters 1, 2), and the origin conditions and trajectory pathways that lead to these outcomes (Chapters 1, 3). In identifying pertinent AR characteristics and whether there have been changes during the historical era, these findings also provide a foundation for further research and future directions for bridging AR research to societal application.
Compound Climate Extremes In The Present And Future Climates Machine Learning Statistical Methods And Dynamical Modelling
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Author : Wei Zhang
language : en
Publisher: Frontiers Media SA
Release Date : 2022-01-11
Compound Climate Extremes In The Present And Future Climates Machine Learning Statistical Methods And Dynamical Modelling written by Wei Zhang and has been published by Frontiers Media SA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-01-11 with Science categories.