| Project Scientist
303-497-2849
ericg ucar.edu
Job Duties
Researching methods for verification of high-resolution (spatial) forecasts. Looking at statistical models for determining how large-scale indicators of severe weather are changing under future climate. Maintaining the extreme-value analysis R package, extRemes, and development of a spatial extension.
Education
B.A., University of Colorado, 1996, mathematics
M.S., Arizona State University, 1998, statistics
Ph.D., Colorado State University, 2005, statistics
Publications
Gilleland E and TL Fowler, 2006: Network design for verification of ceiling and visibility forecasts, Environmetrics 17(6), 575-589.
Gilleland E, D Nychka, and U Schneider, 2006: Spatial models for the distribution of extremes, Hierarchical modelling for the Environmental Sciences: statistical methods and applications, Edited by JS Clark and A Gelfand. Oxford University Press, New York pp.170--183. ISBN 0-19-8569671.
Gilleland, Eric and Doug Nychka, 2005: Statistical Models
for Monitoring and Regulating Ground-level Ozone, Environmetrics, 16, 535-546.
Stephenson A and E Gilleland, 2005: Software for the Analysis of Extreme Events: The Current State and Future Directions, Extremes, 8, 87-109.
Preprints:
Gilleland E and RW Katz, 2006: "Analyzing seasonal to interannual extreme weather and climate variability with the extremes toolkit (extRemes)", 18th Conference on Climate Variability and Change, 86th American Meteorological Society (AMS) Annual Meeting, 29 January - 2 February, 2006, Atlanta, Georgia. P2.15
Gilleland, Eric, 2004: Optimizing METAR Network Design for Verification
of Cloud Ceiling Height and Visibility Forecasts, Preprints, 15th
annual conference of the International Environmetrics Society and
the 6th international symposium on Spatial Accuracy Assessment in
Natural Resources and Environmental Sciences, Portland, ME, 28 Jun
- 1 Jul.
Gilleland, Eric, 2004: Improving forecast verification through
network design, Preprints, American Meteorological Society: 17th
Conference on Probability and Statistics in the Atmospheric Sciences,
Seattle, WA, 11-15 Jan, 2.5
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