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Climate Analysis

  • Date Published: June 2019
  • availability: Temporarily unavailable - available from August 2019
  • format: Hardback
  • isbn: 9780521896160


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About the Authors
  • Sensational images and stories about variations in Earth's climate and their impacts on society are pervasive in the media. The scientific basis for these stories is often not understood by the general public, nor even by those with a scientific background in fields other than climate science. This book is a comprehensive resource that will enable the reader to understand and appreciate the significance of the flood of climate information. It is an excellent non-mathematical resource for learning the fundamentals of climate analysis, as well as a reference for non-climate experts that need to use climate information and data. The focus is on the basics of the climate system, how climate is observed and how the observations are transformed into datasets useful for monitoring the climate. Each chapter contains Discussion Questions. This is an invaluable textbook on climate analysis for advanced students, and a reference textbook for researchers and practitioners.

    • Provides a comprehensive introduction to the entire Earth climate system including the atmosphere, oceans, cryosphere, and land surface components
    • Includes guidance on the proper use of climate data, with appropriate information to enable further investigation
    • Offers a non-mathematical description of the climate system in the main text with appendices that provide mathematical details of selected topics, and is therefore appropriate for students and other readers without advanced mathematical skills, while also supporting the interests of those with these skills
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    Product details

    • Date Published: June 2019
    • format: Hardback
    • isbn: 9780521896160
    • length: 362 pages
    • dimensions: 253 x 168 x 23 mm
    • weight: 0.94kg
    • contains: 38 b/w illus. 14 maps
    • availability: Temporarily unavailable - available from August 2019
  • Table of Contents

    Foreword Antonio J. Busalacchi, Jr
    List of abbreviations and acronyms
    1. Earth's climate system
    2. Climate analysis: goals and methods
    3. Climate analysis: atmospheric instruments, observations, and datasets
    4. Climate variability
    5. Climate change
    6. Temperature: building climate datasets
    7. Precipitation: combining in-situ and remotely-sensed observations in constructing climate datasets
    8. Ocean climate datasets
    9. Cryosphere
    10. Land component of the climate system
    11. Climate models as information sources and analysis tools
    12. Operational climate monitoring and prediction
    Appendix A. A short guide to some statistics used in climate analysis
    Appendix B. Vorticity/divergence, stream function/velocity potential
    Appendix C. Preliminary examination of the data
    Appendix D. Components of the mean water budget

  • Resources for

    Climate Analysis

    Chester F. Ropelewski, Phillip A. Arkin

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  • Authors

    Chester F. Ropelewski
    Chester F. Ropelewski has fifty years of experience in climate analysis, including weather forecasting, development of climate datasets and real-time monitoring systems, research in atmospheric turbulence, tropical boundary layers, hurricanes, the North American monsoon, sea ice, snow cover, climate variability, El Niño/Southern Oscillation (ENSO), Quasi-Biennial Oscillation, hydrologic cycle, and droughts. He was awarded the Norbert Gerbier-Mumm Award from the World Meteorological Organization in 1990, and elected a Fellow of the American Meteorological Society in 2001. He is the author of over 100 research papers, book chapters and reports. He was Chief of the Analysis Branch of the Climate Prediction Center of the National Oceanic and Atmospheric Administration (NOAA); Director of the Climate Monitoring section of the International Research Institute for Climate and Society at Columbia University; and a Senior Policy Analyst and Advisor of The Earth Institute, Columbia University.

    Phillip A. Arkin, University of Maryland, College Park
    Phillip A. Arkin has over forty years of experience as an innovative research scientist and leader at the National Oceanic and Atmospheric Administration (NOAA); Columbia University; and the University of Maryland, where he currently works. He has played a leading role in shaping the use of satellite data to estimate precipitation for climate studies and created the first system to use weather model analyses for climate monitoring and research. He has initiated and led several international research projects and has mentored a diverse collection of young scientists who have gone on to fruitful careers in climate science. He has published nearly 100 papers in the weather and climate literature, most of them focused on the climate datasets and their applications that are the subject of this book. He is Fellow of the American Meteorological Society (2000), recipient of the Hugh Robert Mill Award from the Royal Meteorology Society (2004), and a Distinguished Alumnus of the University of Maryland.

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