Climate Data Computing

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Climate Data Computing

Climate Data Computing written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018 with Electronic books categories.

This dissertation solves two important problems in the modern analysis of big climate data. The first is the efficient visualization and fast delivery of big climate data, and the second is a computationally extensive principal component analysis (PCA) using spherical harmonics on the Earth’s surface. The second problem creates a way to supply the data for the technology developed in the first. These two problems are computationally difficult, such as the representation of higher order spherical harmonics Y400, which is critical for upscaling weather data to almost infinitely fine spatial resolution. For the first problem, the 4D Visual Delivery (4DVD) software technology has been created as a web application to provide appealing visualizations of climate data and to easily deliver big climate data to end users quickly and efficiently. The need for such an application is first discussed and is followed up with the initial design requirements. From here, a novel interconnected system is designed that seamlessly integrates a database, web server, and front-end computing. WebGL and JavaScript are used to generate feature rich maps and time series of global climate data. The delivered data can be sorted and their statistical properties can be easily computed. All this is done with minimal processing from the server because the computations are moved instead to the end user’s web browser, taking a heavy burden off of the back-end. The second topic is the calculation of an annual mean global climate of surface air temperature anomalies through the use of optimal interpolation of existing weather stations by using the eigenvalues and vectors calculated via a spherical harmonics representation of the global climate field. An optimal interpolation is made for the weather station data by using a multivariate regression built on these eigenvalues and vectors which is calculated via an SVD algorithm in the spectral space. The background, mathematics, and code logic are explored for three of the main difficulties: transform of the high order spherical harmonic functions, the calculation of eigenvalues and vectors in complex space in Java, and the calculation of the optimal weights when involving large complex matrices. In the research, code optimizations and numerical verifications of the statistical theory are made and a novel cloud computing approach was explored to find optimal weights over Apache Spark, which is a distributed computing library. Cloud computing was carried out to generate many results of this research, and the cloud computing procedure is documented in this dissertation for other researchers.

Big Data Computing For Geospatial Applications

Big Data Computing For Geospatial Applications written by Zhenlong Li and has been published by MDPI this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-11-23 with Science categories.

The convergence of big data and geospatial computing has brought forth challenges and opportunities to Geographic Information Science with regard to geospatial data management, processing, analysis, modeling, and visualization. This book highlights recent advancements in integrating new computing approaches, spatial methods, and data management strategies to tackle geospatial big data challenges and meanwhile demonstrates opportunities for using big data for geospatial applications. Crucial to the advancements highlighted in this book is the integration of computational thinking and spatial thinking and the transformation of abstract ideas and models to concrete data structures and algorithms.

High Performance Computing For Geospatial Applications

High Performance Computing For Geospatial Applications written by Wenwu Tang and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-07-20 with Technology & Engineering categories.

This volume fills a research gap between the rapid development of High Performance Computing (HPC) approaches and their geospatial applications. With a focus on geospatial applications, the book discusses in detail how researchers apply HPC to tackle their geospatial problems. Based on this focus, the book identifies the opportunities and challenges revolving around geospatial applications of HPC. Readers are introduced to the fundamentals of HPC, and will learn how HPC methods are applied in various specific areas of geospatial study. The book begins by discussing theoretical aspects and methodological uses of HPC within a geospatial context, including parallel algorithms, geospatial data handling, spatial analysis and modeling, and cartography and geovisualization. Then, specific domain applications of HPC are addressed in the contexts of earth science, land use and land cover change, urban studies, transportation studies, and social science. The book will be of interest to scientists and engineers who are interested in applying cutting-edge HPC technologies in their respective fields, as well as students and faculty engaged in geography, environmental science, social science, and computer science.

Review Of Climate Data Management In Africa

Review Of Climate Data Management In Africa written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1985 with Africa categories.

North American Climatic Data Catalog

North American Climatic Data Catalog written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1984 with Data centers categories.

Water Resources Research Catalog

Water Resources Research Catalog written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1966 with Water resources development categories.

Advanced Computational Methods In Energy Power Electric Vehicles And Their Integration

Advanced Computational Methods In Energy Power Electric Vehicles And Their Integration written by Kang Li and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-09-01 with Computers categories.

The three-volume set CCIS 761, CCIS 762, and CCIS 763 constitutes the thoroughly refereed proceedings of the International Conference on Life System Modeling and Simulation, LSMS 2017, and of the International Conference on Intelligent Computing for Sustainable Energy and Environment, ICSEE 2017, held in Nanjing, China, in September 2017. The 208 revised full papers presented were carefully reviewed and selected from over 625 submissions. The papers of this volume are organized in topical sections on: Biomedical Signal Processing; Computational Methods in Organism Modeling; Medical Apparatus and Clinical Applications; Bionics Control Methods, Algorithms and Apparatus; Modeling and Simulation of Life Systems; Data Driven Analysis; Image and Video Processing; Advanced Fuzzy and Neural Network Theory and Algorithms; Advanced Evolutionary Methods and Applications; Advanced Machine Learning Methods and Applications; Intelligent Modeling, Monitoring, and Control of Complex Nonlinear Systems; Advanced Methods for Networked Systems; Control and Analysis of Transportation Systems; Advanced Sliding Mode Control and Applications; Advanced Analysis of New Materials and Devices; Computational Intelligence in Utilization of Clean and Renewable Energy Resources; Intelligent Methods for Energy Saving and Pollution Reduction; Intelligent Methods in Developing Electric Vehicles, Engines and Equipment; Intelligent Computing and Control in Power Systems; Modeling, Simulation and Control in Smart Grid and Microgrid; Optimization Methods; Computational Methods for Sustainable Environment.

Prospects Of Artificial Intelligence In The Environment

Prospects Of Artificial Intelligence In The Environment written by Ajitanshu Vedrtnam and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-07-19 with Technology & Engineering categories.

This book gives readers insight into the state-of-the-art use of artificial intelligence for the environment. It encompasses most of the significant facets of current breakthroughs in the fields of conceptions, methodologies, resources, and leading artificial intelligence solutions for the environment. This book presents research at the forefront on applications of artificial intelligence in combating climate change, natural hazards, and textile dyeing pollution (water pollution), for forecasting, assessing air quality trends, and air pollution monitoring. It explains how machine learning can prove to be an efficient technique to forecast the consumption of energy and how AI can be effective for renewable energy systems. Research in this book widens its scope to present the problems, opportunities, and directives for the application of AI systems in engine exhaust prediction. One of the new and interesting things explored is to provide and predict the rate of decay of human lung tissue (due to Particulate Matter exposure) with the help of AI in this book. Likewise, the book opens its scope to various environmental problems and focuses on giving the best solutions with an application of artificial intelligence; this feature makes this book an indispensable guide for environmental scientists and AI researchers of all levels. The book is written comprehensively so that engineering professionals, programmers, environmentalists, graduates, postgraduates, and researchers from beginning/intermediate level to advance level can be enlightened.

Meteorological And Geoastrophysical Abstracts

Meteorological And Geoastrophysical Abstracts written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1984 with Cosmic physics categories.

A Vast Machine

A Vast Machine written by Paul N. Edwards and has been published by MIT Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-03-12 with Technology & Engineering categories.

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.