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Studies in the Atmospheric Sciences

  • Book
  • © 2000

Overview

Editors:
  1. L. Mark Berliner

    1. Department of Statistics, Ohio State University, Columbus, USA

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    You can also search for this editor in PubMed   Google Scholar

  2. Douglas Nychka

    1. National Center for Atmospheric Research, Boulder, USA

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    You can also search for this editor in PubMed   Google Scholar

  3. Timothy Hoar

    1. National Center for Atmospheric Research, Boulder, USA

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    You can also search for this editor in PubMed   Google Scholar

Part of the book series: Lecture Notes in Statistics (LNS, volume 144)

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Table of contents (10 chapters)

  1. Front Matter

    Pages i-x
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  2. Introduction

    • L. Mark Berliner, Douglas A. Nychka, Timothy J. Hoar
    Pages 1-6

  3. A Statistical Perspective on Data Assimilation in Numerical Models

    • Gary Sneddon
    Pages 7-21

  4. Multivariate Spatial Models

    • J. Andrew Royle
    Pages 23-44

  5. Hierarchical Space—Time Dynamic Models

    • Christopher K. Wikle
    Pages 45-64

  6. Experimental Design for Spatial and Adaptive Observations

    • Zhan-Qian Lu, L. Mark Berliner, Chris Snyder
    Pages 65-78

  7. Seasonal Variation in Stratospheric Ozone Levels, a Functional Data Analysis Study

    • Wendy Meiring
    Pages 79-96

  8. Neural Networks: Cloud Parameterizations

    • Barbara A. Bailey, L. Mark Berliner, William Collins, Douglas W. Nychka, Jeffrey T. Kiehl
    Pages 97-116

  9. Exploratory Statistical Analysis of Tropical Oceanic Convection Using Discrete Wavelet Transforms

    • Philippe Naveau, Mitchell Moncrieff, Jun-Ichi Yano, Xiaoqing Wu
    Pages 117-132

  10. Predicting Clear-Air Turbulence

    • Claudia Tebaldi, Doug Nychka, Barbara Brown, Bob Sharman
    Pages 133-151

  11. Spatial Structure of the SeaWiFS Ocean Color Data for the North Atlantic Ocean

    • Montserrat Fuentes, Scott C. Doney, David M. Glover, Scott J. McCue
    Pages 153-171

  12. Back Matter

    Pages 173-202
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Keywords

About this book

The National Center for Atmospheric Research (NCAR) in Boulder, Colorado, is a major institution performing research in the environmental sciences. After an open competition, the National Science Foundation gave its financial sup­ port to NCAR for the establishment of a much-needed statistics/probability program in the geophysical sciences. The result is the NCAR Geophysical Statistics Project (GSP). The primary mission of this program is: • To foster excellence in the use of modern statistical science in the geo­ physical and environmental sciences. • To attract and support statistical scientists for collaborative research. To fulfill its mission, GSP engages in research in statistical science and its application to the atmospheric and allied sciences. It supports a variety of collaborative efforts between statistical scientists and disciplinary scientists. Senior statisticians, both members of and visitors to GSP, work in conjunc­ tion with researchers at NCAR and elsewhere in the application of current statistical methods as well as in. the development of new statistical models and techniques. Senior GSP members and NCAR researchers also collaborate in the mentoring of junior members, typically post-doctoral level or statistics graduate students.

Editors and Affiliations

  • Department of Statistics, Ohio State University, Columbus, USA

    L. Mark Berliner

  • National Center for Atmospheric Research, Boulder, USA

    Douglas Nychka, Timothy Hoar

Bibliographic Information

  • Book Title: Studies in the Atmospheric Sciences

  • Editors: L. Mark Berliner, Douglas Nychka, Timothy Hoar

  • Series Title: Lecture Notes in Statistics

  • DOI: https://doi.org/10.1007/978-1-4612-2112-8

  • Publisher: Springer New York, NY

  • eBook Packages: Springer Book Archive

  • Copyright Information: Springer-Verlag New York, Inc. 2000

  • Softcover ISBN: 978-0-387-98757-6Published: 30 March 2000

  • eBook ISBN: 978-1-4612-2112-8Published: 06 December 2012

  • Series ISSN: 0930-0325

  • Series E-ISSN: 2197-7186

  • Edition Number: 1

  • Number of Pages: X, 199

  • Number of Illustrations: 17 b/w illustrations

  • Topics: Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences

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