Big Data Analytics In Earth Atmospheric And Ocean Sciences

Author : Thomas Huang
Publisher : John Wiley & Sons
ISBN 13 : 1119467535
Total Pages : 356 pages
Book Rating : 4.33/5 ( download)

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Download or read book Big Data Analytics in Earth, Atmospheric, and Ocean Sciences written by Thomas Huang and published by John Wiley & Sons. This book was released on 2022-10-14 with total page 356 pages. Available in PDF, EPUB and Kindle. Book excerpt: Applying tools for data analysis to the rapidly increasing volume of data about the Earth An ever-increasing volume of Earth data is being gathered. These data are “big” not only in size but also in their complexity, different formats, and varied scientific disciplines. As such, big data are disrupting traditional research. New methods and platforms, such as the cloud, are tackling these new challenges. Big Data Analytics in Earth, Atmospheric, and Ocean Sciences explores new tools for the analysis and display of the rapidly increasing volume of data about the Earth. Volume highlights include: An introduction to the breadth of big earth data analytics Architectures developed to support big earth data analytics Different analysis and statistical methods for big earth data Current applications of analytics to Earth science data Challenges to fully implementing big data analytics 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 in this Q&A with the editors.

Author : Thomas Huang
Publisher : John Wiley & Sons
ISBN 13 : 1119467578
Total Pages : 356 pages
Book Rating : 4.71/5 ( download)

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Download or read book Big Data Analytics in Earth, Atmospheric and Ocean Sciences written by Thomas Huang and published by John Wiley & Sons. This book was released on 2022-11-22 with total page 356 pages. Available in PDF, EPUB and Kindle. Book excerpt: Big Data Analytics in Earth, Atmospheric and Ocean Sciences SPECIAL PUBLICATIONS SERIES Big Data Analytics in Earth, Atmospheric, and Ocean Sciences An ever-increasing volume of Earth data is being gathered. These data are “big” not only in size but also in their complexity, different formats, and varied scientific disciplines. As such, big data are disrupting traditional research. New methods and platforms, such as the cloud, are tackling these new challenges. Big Earth Data Analytics explores new tools for the analysis and display of the rapidly increasing volume of data about the Earth. Volume highlights include: An introduction to the breadth of big earth data analytics Architectures developed to support big earth data analytics Different analysis and statistical methods for big earth data Current applications of analytics to Earth science data Challenges to fully implementing big data analytics 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.

Author : Tzai-Hung Wen
Publisher : Springer Nature
ISBN 13 : 9811987653
Total Pages : 217 pages
Book Rating : 4.56/5 ( download)

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Download or read book Earth Data Analytics for Planetary Health written by Tzai-Hung Wen and published by Springer Nature. This book was released on 2023-01-25 with total page 217 pages. Available in PDF, EPUB and Kindle. Book excerpt: Planetary health involves complex spatial–temporal interactions among agents, hosts, and earth environment. Due to rapid technical development of geomatics, including geographic information systems (GIS) and remote sensing (RS) in the era of big data analytics, therefore, earth data analytics has become one of the important approaches for monitoring earth surface process and measuring of the effects of environment changes on all humans and other living organisms on earth. Various methods in earth data analytics, including spatial–temporal statistics, spatial evolutionary algorithms, remote sensing image analysis, wireless geo-sensors, and location-based analytics, are an emerging discipline in understanding complex interactions in planetary health. This edited book provides a broad focus on methodological theories of earth data analytics and their applications to measuring the process of planetary health, with the goal to build scientific understanding on how geospatial analytics can provide valuable insights in measuring environmental risks in Southeast Asian regions. It is collection of selected papers covering both theoretical and empirical studies focusing on topics relevant to spatial perspectives on planetary health and environmental exposure studies. The book is written for senior undergraduates, graduate students, lecturers, and researchers in applications of geospatial technologies for public health and environmental studies.

Author : William W. Hsieh
Publisher : Cambridge University Press
ISBN 13 : 1107065550
Total Pages : 649 pages
Book Rating : 4.50/5 ( download)

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Download or read book Introduction to Environmental Data Science written by William W. Hsieh and published by Cambridge University Press. This book was released on 2023-03-31 with total page 649 pages. Available in PDF, EPUB and Kindle. Book excerpt: A comprehensive guide to machine learning and statistics for students and researchers of environmental data science.

Author : Tiffany C Vance
Publisher : Elsevier
ISBN 13 : 012803193X
Total Pages : 456 pages
Book Rating : 4.33/5 ( download)

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Download or read book Cloud Computing in Ocean and Atmospheric Sciences written by Tiffany C Vance and published by Elsevier. This book was released on 2016-03-24 with total page 456 pages. Available in PDF, EPUB and Kindle. Book excerpt: Cloud Computing in Ocean and Atmospheric Sciences provides the latest information on this relatively new platform for scientific computing, which has great possibilities and challenges, including pricing and deployments costs and applications that are often presented as primarily business oriented. In addition, scientific users may be very familiar with these types of models and applications, but relatively unfamiliar with the intricacies of the hardware platforms they use. The book provides a range of practical examples of cloud applications that are written to be accessible to practitioners, researchers, and students in affiliated fields. By providing general information on the use of the cloud for oceanographic and atmospheric computing, as well as examples of specific applications, this book encourages and educates potential users of the cloud. The chapters provide an introduction to the practical aspects of deploying in the cloud, also providing examples of workflows and techniques that can be reused in new projects. Provides real examples that help new users quickly understand the cloud and provide guidance for new projects Presents proof of the usability of the techniques and a clear path to adoption of the techniques by other researchers Includes real research and development examples that are ideal for cloud computing adopters in ocean and atmospheric domains

Author : William Wei Hsieh
Publisher :
ISBN 13 : 9781107588493
Total Pages : 0 pages
Book Rating : 4.99/5 ( download)

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Download or read book Introduction to Environmental Data Science written by William Wei Hsieh and published by . This book was released on 2023 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Statistical and machine learning methods have many applications in the environmental sciences, including prediction and data analysis in meteorology, hydrology and oceanography; pattern recognition for satellite images from remote sensing; management of agriculture and forests; assessment of climate change; and much more. With rapid advances in machine learning in the last decade, this book provides an urgently needed, comprehensive guide to machine learning and statistics for students and researchers interested in environmental data science. It includes intuitive explanations covering the relevant background mathematics, with examples drawn from the environmental sciences. A broad range of topics are covered, including correlation, regression, classification, clustering, neural networks, random forests, boosting, kernel methods, evolutionary algorithms and deep learning, as well as the recent merging of machine learning and physics. End-of-chapter exercises allow readers to develop their problem-solving skills, and online datasets allow readers to practise analysis of real data. William W. Hsieh is a professor emeritus in the Department of Earth, Ocean and Atmospheric Sciences at the University of British Columbia. Known as a pioneer in introducing machine learning to environmental science, he has written over 100 peer-reviewed journal papers on climate variability, machine learning, atmospheric science, oceanography, hydrology and agricultural science. He is the author of the book Machine Learning Methods in the Environmental Sciences (2009, Cambridge University Press), the first single-authored textbook on machine learning for environmental scientists. Currently retired in Victoria, British Columbia, he enjoys growing organic vegetables"--

Author : Huang Dongmei
Publisher : World Scientific
ISBN 13 : 9811202508
Total Pages : 364 pages
Book Rating : 4.06/5 ( download)

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Download or read book Marine Big Data written by Huang Dongmei and published by World Scientific. This book was released on 2019-07-08 with total page 364 pages. Available in PDF, EPUB and Kindle. Book excerpt: As the volume of marine big data has increased dramatically, one of the main concerns is how to fully exploit the value of such data in the development of marine economy and marine science and technology.The book covers data acquisition, feature classification, processing and applications of marine big data in evaluation and decision-making, using case studies such as storm surge and marine oil spill disaster.

Author : SEON KI PARK
Publisher : Springer Science & Business Media
ISBN 13 : 3540710566
Total Pages : 481 pages
Book Rating : 4.61/5 ( download)

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Download or read book Data Assimilation for Atmospheric, Oceanic and Hydrologic Applications written by SEON KI PARK and published by Springer Science & Business Media. This book was released on 2009-02-08 with total page 481 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data assimilation (DA) has been recognized as one of the core techniques for modern forecasting in various earth science disciplines including meteorology, oceanography, and hydrology. Since early 1990s DA has been an important s- sion topic in many academic meetings organized by leading societies such as the American Meteorological Society, American Geophysical Union, European G- physical Union, World Meteorological Organization, etc. nd Recently, the 2 Annual Meeting of the Asia Oceania Geosciences Society (AOGS), held in Singapore in June 2005, conducted a session on DA under the - tle of “Data Assimilation for Atmospheric, Oceanic and Hydrologic Applications.” nd This rst DA session in the 2 AOGS was a great success with more than 30 papers presented and many great ideas exchanged among scientists from the three different disciplines. The scientists who participated in the meeting suggested making the DA session a biennial event. th Two years later, at the 4 AOGS Annual Meeting, Bangkok, Thailand, the DA session was of cially named “Sasaki Symposium on Data Assimilation for At- spheric, Oceanic and Hydrologic Applications,” to honor Prof. Yoshi K. Sasaki of the University of Oklahoma for his life-long contributions to DA in geosciences.

Author : Zhihua Zhang
Publisher :
ISBN 13 : 0128187034
Total Pages : 344 pages
Book Rating : 4.36/5 ( download)

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Download or read book Big Data Mining for Climate Change written by Zhihua Zhang and published by . This book was released on 2019-12 with total page 344 pages. Available in PDF, EPUB and Kindle. Book excerpt: Big Data Mining for Climate Change addresses how to manage the vast amount of information available for analysis. Climate change and its environmental, economic and social consequences are widely recognized as the biggest, most interconnected problem facing humanity. There is a huge amount of potential information currently available...and it is growing exponentially. This book walks through the latest research and how to navigate the resources available using big data applications. It is appropriate for scientists and advanced students studying climate change from a number of disciplines, including the atmospheric sciences, oceanic sciences, geography, environment sciences, ecology, energy, economics, engineering and public policy. Provides a step-by-step guide for applying big data mining tools to climate and environmental research Presents a comprehensive review of theory and algorithms of big data mining for climate change Includes current research in climate and environmental science as it relates to using big data algorithms

Author : Michael Keller
Publisher : John Wiley & Sons
ISBN 13 : 1118671511
Total Pages : 1472 pages
Book Rating : 4.11/5 ( download)

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Download or read book Amazonia and Global Change written by Michael Keller and published by John Wiley & Sons. This book was released on 2013-05-02 with total page 1472 pages. Available in PDF, EPUB and Kindle. Book excerpt: Published by the American Geophysical Union as part of the Geophysical Monograph Series, Volume 186. Amazonia and Global Change synthesizes results of the Large-Scale Biosphere-Atmosphere Experiment in Amazonia (LBA) for scientists and students of Earth system science and global environmental change. LBA, led by Brazil, asks how Amazonia currently functions in the global climate and biogeochemical systems and how the functioning of Amazonia will respond to the combined pressures of climate and land use change, such as Wet season and dry season aerosol concentrations and their effects on diffuse radiation and photosynthesis Increasing greenhouse gas concentration, deforestation, widespread biomass burning and changes in the Amazonian water cycle Drought effects and simulated drought through rainfall exclusion experiments The net flux of carbon between Amazonia and the atmosphere Floodplains as an important regulator of the basin carbon balance including serving as a major source of methane to the troposphere The impact of the likely increased profitability of cattle ranching. The book will serve a broad community of scientists and policy makers interested in global change and environmental issues with high-quality scientific syntheses accessible to nonspecialists in a wide community of social scientists, ecologists, atmospheric chemists, climatologists, and hydrologists.