Bias Correction And Downscaling Of Climate Model Outputs Required For Impact Assessments Of Climate Change In The Us Northeast
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| Author | : Douglas Maraun |
| Publisher | : Cambridge University Press |
| Total Pages | : 365 |
| Release | : 2018-01-18 |
| Genre | : Mathematics |
| ISBN | : 1107066050 |
A comprehensive and practical guide, providing technical background and user context for researchers, graduate students, practitioners and decision makers. This book presents the main approaches and describes their underlying assumptions, skill and limitations. Guidelines for the application of downscaling and the use of downscaled information in practice complete the volume.
| Author | : S. Arumugam |
| Publisher | : Springer |
| Total Pages | : 472 |
| Release | : 2017-08-14 |
| Genre | : Computers |
| ISBN | : 331964419X |
This volume constitutes the refereed post-conference proceedings of the International Conference on Theoretical Computer Science and Discrete Mathematics, held in Krishnankoil, India, in December 2016. The 57 revised full papers were carefully reviewed and selected from 210 submissions. The papers cover a broad range of topics such as line graphs and its generalizations, large graphs of given degree and diameter, graphoidal covers, adjacency spectrum, distance spectrum, b-coloring, separation dimension of graphs and hypergraphs, domination in graphs, graph labeling problems, subsequences of words and Parike matrices, lambda-design conjecture, graph algorithms and interference model for wireless sensor networks.
| Author | : Andrew (Professor Sturman, Professor University of Canterbury) |
| Publisher | : Oxford University Press |
| Total Pages | : 280 |
| Release | : 2023-11-21 |
| Genre | : |
| ISBN | : 0198807503 |
A student friendly guide to climate change, with a unique multi-level approach, written by leading experts.The first text to focus on the impact of climate change at a local and regional level, enriched with real-world case studies to help students understand and apply the science of climate change.Key Features- An innovative approach which xplores the global, regional, and local impacts of climate change.- Provides a comprehensive overview of climate change, to support students coming to the subject for the first time.- Contemporary case studies throughout the book, on issues such as sea ice, viticulture, and wildland fires help students understand how to apply the science of climate change in a real-world context.- Written by leading experts in the field.Digital Formats and ResourcesClimate Change is available for students and institutions to purchase in a variety of formats, and is supported by online resources.The e-book offers a mobile experience and convenient access: www.oxfordtextbooks.co.uk/ebooksStudent Resources- Case studies, with discussion questions- Blog-style topical updatesLecturer Resources- Image Bank
| Author | : Rasmus E. Benestad |
| Publisher | : World Scientific |
| Total Pages | : 228 |
| Release | : 2008 |
| Genre | : Science |
| ISBN | : 9812819126 |
Empirical-statistical downscaling (ESD) is a method for estimating how local climatic variables are affected by large-scale climatic conditions. ESD has been applied to local climate/weather studies for years, but there are few ? if any ? textbooks on the subject. It is also anticipated that ESD will become more important and commonplace in the future, as anthropogenic global warming proceeds. Thus, a textbook on ESD will be important for next-generation climate scientists.
| Author | : Rao Kotamarthi |
| Publisher | : Cambridge University Press |
| Total Pages | : 213 |
| Release | : 2021-02-11 |
| Genre | : Science |
| ISBN | : 1108587062 |
Downscaling is a widely used technique for translating information from large-scale climate models to the spatial and temporal scales needed to assess local and regional climate impacts, vulnerability, risk and resilience. This book is a comprehensive guide to the downscaling techniques used for climate data. A general introduction of the science of climate modeling is followed by a discussion of techniques, models and methodologies used for producing downscaled projections, and the advantages, disadvantages and uncertainties of each. The book provides detailed information on dynamic and statistical downscaling techniques in non-technical language, as well as recommendations for selecting suitable downscaled datasets for different applications. The use of downscaled climate data in national and international assessments is also discussed using global examples. This is a practical guide for graduate students and researchers working on climate impacts and adaptation, as well as for policy makers and practitioners interested in climate risk and resilience.
| Author | : Vijay P. Singh |
| Publisher | : CRC Press |
| Total Pages | : 615 |
| Release | : 2023-09-12 |
| Genre | : Science |
| ISBN | : 1000905616 |
The first volume of this comprehensive global perspective on Integrated Drought Management is focused on understanding drought, causes, and the assessment of drought impacts. It explains different types of drought: agricultural, meteorological, hydrological, and socioeconomic droughts, their indices and the impact of climate change on drought. The volume also examines spatiotemporal analysis of drought, variability and patterns, assessment, and drought evaluation. With numerous case studies from India, Mexico, Turkey, Brazil, US, and other countries, this volume serves as a valuable resource for all readers who want to advance their knowledge on drought and risk management. Features: Provides a global perspective on drought prediction and management and a synthesis of the recent state of knowledge. Covers a wide range of topics from essential concepts and advanced techniques for forecasting and modeling drought to societal impacts, consequences, and planning. Presents numerous case studies with different management approaches from different regions and countries. Addresses how climate change impacts drought, the increasing challenges associated with managing drought, decision making, and policy implications. Includes contributions from hundreds of experts around the world. Professionals, researchers, academics, and postgraduate students with knowledge in environmental sciences, ecology, agriculture, forestry, hydrology, water resources engineering, and earth sciences, as well as those interested in how climate change impacts drought management, will gain new insights from the experts featured in this two-volume handbook.
| Author | : Ashutosh Kumar Dubey |
| Publisher | : Elsevier |
| Total Pages | : 500 |
| Release | : 2022-11-11 |
| Genre | : Science |
| ISBN | : 0323997155 |
Visualization Techniques for Climate Change with Machine Learning and Artificial Intelligence covers computer-aided artificial intelligence and machine learning technologies as related to the impacts of climate change and its potential to prevent/remediate the effects. As such, different types of algorithms, mathematical relations and software models may help us to understand our current reality, predict future weather events and create new products and services to minimize human impact, chances of improving and saving lives and creating a healthier world. This book covers different types of tools for the prediction of climate change and alternative systems which can reduce the levels of threats observed by climate change scientists. Moreover, the book will help to achieve at least one of 17 sustainable development goals i.e., climate action. - Includes case studies on the application of AI and machine learning for monitoring climate change effects and management - Features applications of software and algorithms for modeling and forecasting climate change - Shows how real-time monitoring of specific factors (temperature, level of greenhouse gases, rain fall patterns, etc.) are responsible for climate change and possible mitigation efforts to achieve environmental sustainability
| Author | : Ni-Bin Chang |
| Publisher | : CRC Press |
| Total Pages | : 627 |
| Release | : 2018-02-21 |
| Genre | : Technology & Engineering |
| ISBN | : 1351650637 |
In the last few years the scientific community has realized that obtaining a better understanding of interactions between natural systems and the man-made environment across different scales demands more research efforts in remote sensing. An integrated Earth system observatory that merges surface-based, air-borne, space-borne, and even underground sensors with comprehensive and predictive capabilities indicates promise for revolutionizing the study of global water, energy, and carbon cycles as well as land use and land cover changes. The aim of this book is to present a suite of relevant concepts, tools, and methods of integrated multisensor data fusion and machine learning technologies to promote environmental sustainability. The process of machine learning for intelligent feature extraction consists of regular, deep, and fast learning algorithms. The niche for integrating data fusion and machine learning for remote sensing rests upon the creation of a new scientific architecture in remote sensing science that is designed to support numerical as well as symbolic feature extraction managed by several cognitively oriented machine learning tasks at finer scales. By grouping a suite of satellites with similar nature in platform design, data merging may come to help for cloudy pixel reconstruction over the space domain or concatenation of time series images over the time domain, or even both simultaneously. Organized in 5 parts, from Fundamental Principles of Remote Sensing; Feature Extraction for Remote Sensing; Image and Data Fusion for Remote Sensing; Integrated Data Merging, Data Reconstruction, Data Fusion, and Machine Learning; to Remote Sensing for Environmental Decision Analysis, the book will be a useful reference for graduate students, academic scholars, and working professionals who are involved in the study of Earth systems and the environment for a sustainable future. The new knowledge in this book can be applied successfully in many areas of environmental science and engineering.
| Author | : Mohamed Abu-hashim |
| Publisher | : Springer Nature |
| Total Pages | : 452 |
| Release | : 2021-10-11 |
| Genre | : Science |
| ISBN | : 3030785742 |
This book focuses on the status quo and the latest information on the water-soil-agriculture nexus in the MENA countries. It presents several case studies and applications from e.g. Morocco, Algeria, Tunisia, Egypt and Jordan, while also sharing and discussing the latest findings. The content includes a range of agriculture-related topics that focus on: water resources management, impacts of climate change, and wastewater treatment for reuse in agriculture sectors; in addition, sustainable approaches to agricultural-based industry, organic crop production, crop water requirements, and soil environment are discussed in an updated and comprehensive review. In turn, the book discusses the applications of GIS and remote sensing as a new technology for better agriculture management, as well as its use in Egypt as a representative country. In closing, it considers the implementation of an environmental information system in data-scarce MENA countries from the standpoint of the water-food nexus, and addresses the question of climate justice in the MENA region. Exploring various dimensions of MENA country-based case studies on achieving sustainable agriculture, the book offers an invaluable source of topical information for agricultural sustainability-related stakeholders in the region, researchers and graduate students alike.
| Author | : National Academies of Sciences, Engineering, and Medicine |
| Publisher | : National Academies Press |
| Total Pages | : 215 |
| Release | : 2018-12-11 |
| Genre | : Nature |
| ISBN | : 0309482828 |
New York City's water supply system is one of the oldest, largest, and most complex in the nation. It delivers more than 1.1 billion gallons of water each day from three upstate watersheds (Croton, Catskill, and Delaware) to meet the needs of more than eight million people in the City, one million people in Westchester, Putnam, Orange, and Ulster counties, and millions of commuters and tourists who visit the City throughout the year. The Catskill and Delaware portions, which make up about 90 percent of the supply, receive no filtration or treatment other than disinfection, except for rare instances of high turbidity when a coagulant is added to increase deposition of suspended solids. The remaining 10 percent of the supply comes from the Croton watershed and receives treatment via filtration. The drinking water supply is managed by the Bureau of Water Supply within the New York City Department of Environmental Protection (NYC DEP). To continue to avoid filtration of the Catskill/Delaware portion of the water supply, in 2007, NYC DEP reexamined its control of turbidity in the Catskill portion of the water supply, including both structural improvements to the system and operational changes. The Operations Support Tool (OST) was developed as part of these efforts. OST couples models of reservoir operations and water quality; it uses real-time data on streamflow, snow pack, water quality, reservoir levels, diversions, and releases; and it incorporates streamflow forecastsâ€"all in order to predict future reservoir levels, water delivery to customers, and water quality within the system. These predictions inform the system operators, who then make decisions based on the most current data and forecasts. This report reviews the use of OST in current and future reservoir operations. It considers potential ways in which the City can more effectively use OST, makes recommendations for additional performance measures, and reviews the potential effects of climate change on the City's water supply to help identify and enhance understanding of areas of potential future concern with regard to the use of OST.
