Studies in the Atmospheric Sciences

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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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.

• Cloud
• Scale
• Weather
• atmospheric science
• cloud amount
• data analysis
• principal component analysis
• wind

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

  L. Mark Berliner

• National Center for Atmospheric Research, Boulder, USA

  Douglas Nychka, Timothy Hoar

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