Synoptic Dynamic Meteorology In Midlatitudes Observations And Theory Of Weather Systems
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Synoptic Dynamic Meteorology In Midlatitudes Observations And Theory Of Weather Systems
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Author : Howard B. Bluestein
language : en
Publisher: Taylor & Francis
Release Date : 1992
Synoptic Dynamic Meteorology In Midlatitudes Observations And Theory Of Weather Systems written by Howard B. Bluestein and has been published by Taylor & Francis this book supported file pdf, txt, epub, kindle and other format this book has been release on 1992 with Science categories.
"Very good book! I am using it in my Synoptic meteorology (with lab) course at present." --L. Glen Cobb, university of Northern Colorado
Synoptic Dynamic Meteorology In Midlatitudes Observations And Theory Of Weather Systems
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Author : Howard Bluestein
language : en
Publisher:
Release Date : 1992
Synoptic Dynamic Meteorology In Midlatitudes Observations And Theory Of Weather Systems written by Howard Bluestein and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1992 with Dynamic meteorology categories.
Monthly Weather Review
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Author :
language : en
Publisher:
Release Date : 1999
Monthly Weather Review written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1999 with Electronic journals categories.
Encyclopedia Of Atmospheric Sciences
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Author : Gerald R. North
language : en
Publisher: Elsevier
Release Date : 2014-09-14
Encyclopedia Of Atmospheric Sciences written by Gerald R. North and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-09-14 with Science categories.
Encyclopedia of Atmospheric Sciences, Second Edition, Six Volume Set is an authoritative resource covering all aspects of atmospheric sciences, including both theory and applications. With more than 320 articles and 1,600 figures and photographs, this revised version of the award-winning first edition offers comprehensive coverage of this important field. The six volumes in this set contain broad-ranging articles on topics such as atmospheric chemistry, biogeochemical cycles, boundary layers, clouds, general circulation, global change, mesoscale meteorology, ozone, radar, satellite remote sensing, and weather prediction. The Encyclopedia is an ideal resource for academia, government, and industry in the fields of atmospheric, ocean, and environmental sciences. It is written at a level that allows undergraduate students to understand the material, while providing active researchers with the latest information in the field. Covers all aspects of atmospheric sciences—including both theory and applications Presents more than 320 articles and more than 1,600 figures and photographs Broad-ranging articles include topics such as atmospheric chemistry, biogeochemical cycles, boundary layers, clouds, general circulation, global change, mesoscale meteorology, ozone, radar, satellite remote sensing, and weather prediction An ideal resource for academia, government, and industry in the fields of atmospheric, ocean, and environmental sciences
Numerical Weather And Climate Prediction
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Author : Thomas Tomkins Warner
language : en
Publisher: Cambridge University Press
Release Date : 2010-12-02
Numerical Weather And Climate Prediction written by Thomas Tomkins Warner 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 2010-12-02 with Science categories.
This textbook provides a comprehensive yet accessible treatment of weather and climate prediction, for graduate students, researchers and professionals. It teaches the strengths, weaknesses and best practices for the use of atmospheric models. It is ideal for the many scientists who use such models across a wide variety of applications. The book describes the different numerical methods, data assimilation, ensemble methods, predictability, land-surface modeling, climate modeling and downscaling, computational fluid-dynamics models, experimental designs in model-based research, verification methods, operational prediction, and special applications such as air-quality modeling and flood prediction. This volume will satisfy everyone who needs to know about atmospheric modeling for use in research or operations. It is ideal both as a textbook for a course on weather and climate prediction and as a reference text for researchers and professionals from a range of backgrounds: atmospheric science, meteorology, climatology, environmental science, geography, and geophysical fluid mechanics/dynamics.
Mesoscale Meteorological Modeling
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Author : Roger A. Pielke
language : en
Publisher: Elsevier Inc. Chapters
Release Date : 2013-10-08
Mesoscale Meteorological Modeling written by Roger A. Pielke and has been published by Elsevier Inc. Chapters this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-10-08 with Science categories.
This chapter introduces the dynamics of synoptic-scale systems. These systems form the background from which mesoscale atmospheric systems develop.
Postprint
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Author :
language : en
Publisher:
Release Date : 1996
Postprint written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1996 with Meteorology categories.
Synoptic And Dynamic Climatology
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Author : Roger G. Barry
language : en
Publisher: Taylor & Francis
Release Date : 2013-03-07
Synoptic And Dynamic Climatology written by Roger G. Barry and has been published by Taylor & Francis this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-03-07 with Science categories.
Synoptic and Dynamic Climatology provides the first comprehensive account of the dynamical behaviour and mechanisms of the global climate system and its components, together with a modern survey of synoptic-scale weather systems in the tropics and extratropics, and of the methods and applications of synoptic climate classification. It is unrivalled in the scope and detail of its contents. The work is thoroughly up to date, with extensive bibliographies by chapter. It is illustrated with nearly 300 figures and plates. *Part 1 provides an introduction to the global climate system and the space-time scales of weather and climate processes, followed by a chapter on climate data and their analysis *Part 2 describes and explains the characteristics of the general circulation of the global atmosphere and includes the nature and causes of global teleconnection patterns *Part 3 discusses synoptic weather systems in the extratropics and tropics and satellite-based climatologies of synoptic features. It also describes the applications of synoptic climatology and summarises current climatic research and its directions.
Tornado Alley
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Author : Howard B. Bluestein
language : en
Publisher:
Release Date : 2006
Tornado Alley written by Howard B. Bluestein and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006 with History categories.
Tornadoes are the most violent, magnificent, and utterly unpredictable storms on earth, reaching estimated wind speeds of 300 mph and leaving swaths of destruction in their wake. In Tornado Alley, Howard Bluestein draws on two decades of experience chasing and photographing tornadoes across the Plains to present a fascinating historical account of the study of tornadoes and the great thunderstorms that spawn them. A century ago, tornado warnings were so unreliable that they usually went unreported. Today, despite cutting-edge Doppler radar technology and computer simulation, these storms remain remarkably difficult to study. Leading scientists still conduct much of their research from the inside of a speeding truck, and often contend with jammed cameras, flash floods, and windshields smashed by hailstones and flying debris. Using over a hundred diagrams, models, and his own spectacular color photographs, Bluestein documents the exhilaration of hair-raising encounters with as many as nine tornadoes in one day, as well as the crushing disappointment of failed expeditions and ruined equipment. Most of all, he recreates the sense of beauty, mystery, and power felt by the scientists who risk their lives to study violent storms. For scientists, amateur weather enthusiasts, or anyone who's ever been intrigued or terrified by a darkening sky, Tornado Alley provides not only a history of tornado research but a vivid look into the origin and effects of nature's most dramatic phenomena.
Large Scale Machine Learning In The Earth Sciences
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Author : Ashok N. Srivastava
language : en
Publisher: CRC Press
Release Date : 2017-08-01
Large Scale Machine Learning In The Earth Sciences written by Ashok N. Srivastava and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-08-01 with Computers categories.
From the Foreword: "While large-scale machine learning and data mining have greatly impacted a range of commercial applications, their use in the field of Earth sciences is still in the early stages. This book, edited by Ashok Srivastava, Ramakrishna Nemani, and Karsten Steinhaeuser, serves as an outstanding resource for anyone interested in the opportunities and challenges for the machine learning community in analyzing these data sets to answer questions of urgent societal interest...I hope that this book will inspire more computer scientists to focus on environmental applications, and Earth scientists to seek collaborations with researchers in machine learning and data mining to advance the frontiers in Earth sciences." --Vipin Kumar, University of Minnesota Large-Scale Machine Learning in the Earth Sciences provides researchers and practitioners with a broad overview of some of the key challenges in the intersection of Earth science, computer science, statistics, and related fields. It explores a wide range of topics and provides a compilation of recent research in the application of machine learning in the field of Earth Science. Making predictions based on observational data is a theme of the book, and the book includes chapters on the use of network science to understand and discover teleconnections in extreme climate and weather events, as well as using structured estimation in high dimensions. The use of ensemble machine learning models to combine predictions of global climate models using information from spatial and temporal patterns is also explored. The second part of the book features a discussion on statistical downscaling in climate with state-of-the-art scalable machine learning, as well as an overview of methods to understand and predict the proliferation of biological species due to changes in environmental conditions. The problem of using large-scale machine learning to study the formation of tornadoes is also explored in depth. The last part of the book covers the use of deep learning algorithms to classify images that have very high resolution, as well as the unmixing of spectral signals in remote sensing images of land cover. The authors also apply long-tail distributions to geoscience resources, in the final chapter of the book.