Full CV (pdf) follows.
Personal Preparation
Ph.D., 2005, Statistics, Colorado State University, Fort Collins, Colorado
M.S., 1998, Statistics, Arizona State University, Tempe, Arizona
B.A., 1996, Mathematics, University of Colorado, Boulder, Colorado
Appointments
12/03/2002 to Present: Research Applications Laboratory, National Center for Atmospheric Research
- Project Scientist II (12/18/2013 to Present)
- Project Scientist I (10/30/2006 to 12/18/2013)
- Associate Scientist III (6/1/2006 to 10/30/2006)
- Associate Scientist II (12/03/2002 to 6/1/2006)
10/19/1998 to 12/03/2002: Geophysical Statistics Project/Atmospheric Technology Division, National Center for Atmospheric Research
- Student Assistant III/Graduate Research Assistant,
Selected Refereed Publications
Gilleland, E., F. Zwiers, D. Wilks, H. von Storch, B. G. Brown, B. Glahn, S. Mason, D. B. Stephenson, and J. Fieberg, 2021. Significant misinterpretations: What role should statistical hypothesis testing play in the atmospheric sciences? Submitted to Bull. Amer. Meteorol. Soc.
Gilleland, E., 2021. Comparing Spatial Fields with SpatialVx: Spatial Forecast Verification in R. Submitted to Journal of Statistical Software.
Gilleland, E., 2020. Novel measures for summarizing high-resolution forecast performance. Submitted to Advances in Statistical Climatology, Meteorology and Oceanography on 19 July 2020.
Brunner, M., S. M. Papalexiou, M. Clark, and E. Gilleland, 2020. How probable is widespread flooding in the United States? Water Resources Research, 56 (10), e2020WR028096, doi: 10.1029/2020WR028096.
Brunner, M. I. and E. Gilleland, 2020. Stochastic simulation of streamflow and spatial extremes: a continuous, wavelet-based approach. Hydrology and Earth System Sciences, 24, 3967 - 3982, doi: 10.5194/hess-2019-658.
Brunner, M. I., D. L. Swain, E. Gilleland, and A. W. Wood, 2021. Increasing importance of temperature as a driver of streamflow drought spatial extent. Environmental Research Letters, 16 (2), 024038, doi: 10.1088/1748-9326/abd2f0.
Gilleland, E., 2020. Bootstrap methods for statistical inference. Part I: Comparative forecast verification for continuous variables. Journal of Atmospheric and Oceanic Technology, 37 (11), 2117 - 2134, doi: 10.1175/JTECH-D-20-0069.1.
Gilleland, E., 2020. Bootstrap methods for statistical inference. Part II: Extreme-value analysis. Journal of Atmospheric and Oceanic Technology, 37 (11), 2135 - 2144, doi: 10.1175/JTECH-D-20-0070.1.
Brunner, M. I., E. Gilleland, A. Wood, D. L. Swain, and M. Clark, 2019. Spatial dependence of floods shaped by spatiotemporally varying land surface processes. Geophysical Research Letters, 47 (13), e2020GL088000, doi: 10.1029/2020GL088000.
Gilleland, E., A. S. Hering, T. L. Fowler, and B. G. Brown, 2018. Testing the tests: What are the impacts of incorrect assumptions when applying confidence intervals or hypothesis tests to compare competing forecasts? Mon. Wea. Rev., 146 (6), 1685 - 1703, DOI: 10.1175/MWR-D-17-0295.1
Ekström, M. and Gilleland, E., 2017. Assessing convection permitting resolutions of WRF for the purpose of water resource impact assessment and vulnerability work; a southeast Australian case study. Water Resour. Res., 53 (1), 726 - 743, DOI: 10.1002/2016WR019545.
Gilleland, E., 2017. A new characterization in the spatial verification framework for false alarms, misses, and overall patterns. Weather Forecast., 32 (1), 187 - 198, DOI: 10.1175/WAF-D-16-0134.1.
Gilleland, E. and R. W. Katz, 2016. extRemes 2.0: An Extreme Value Analysis Package in R. Journal of Statistical Software, 72 (8), 1 - 39, DOI: 10.18637/jss.v072.i08.
Shen, L., L. J. Mickley, and E. Gilleland, 2016. Impact of increasing heatwaves on U.S. ozone episodes in the 2050s: Results from a multi-model analysis using extreme value theory. Geophysical Research Letters, 43 (8), 4017 - 4025, DOI: 10.1002/2016GL068432.
Cheng, L., E. Gilleland, M. J. Heaton, and A. AghaKouchak, 2014. Empirical Bayes estimation for the conditional extreme value model. Stat, 3 (1) 391 - 406, DOI: 10.1002/sta4.71.
Gilleland, E., 2013. Testing competing precipitation forecasts accurately and efficiently: The spatial prediction comparison test. Mon. Wea. Rev., 141, (1), 340 - 355, doi: 10.1175/MWR-D-12-00155.1.
Gilleland, E., B. G. Brown, and C. M. Ammann, 2013. Spatial extreme value analysis to project extremes of large-scale indicators for severe weather. Environmetrics, 24 (6), 418 - 432, DOI: 10.1002/env.2234.
Gilleland, E., J. Lindström, and F. Lindgren, 2010. Analyzing the image warp forecast verification method on precipitation fields from the ICP. Wea. Forecasting, 25 (4), 1249 - 1262, doi: 10.1175/2010WAF2222365.1.
Heaton, M.J., M. Katzfuss, S. Ramachandar, K. Pedings, E. Gilleland, E. Mannshardt-Shamseldin, and R.L. Smith, 2010. Spatio-Temporal Models for Large-scale Indicators of Extreme Weather. Environmetrics, 22, 294 - 303, doi: 10.1002/env.1050.
Gilleland, E., D. Ahijevych, B.G. Brown, B. Casati, and E.E. Ebert, 2009. Intercomparison of Spatial Forecast Verification Methods. Wea. Forecasting, 24, 1416 - 1430, doi: 10.1175/2009WAF2222269.1.
Gilleland, E. and D.W. Nychka, 2005. Statistical Models for Monitoring and Regulating Ground-level Ozone. Environmetrics, 16, 535 - 546, doi: 10.1002/env.720.
Selected Synergistic Activities
Member: World Meteorological Organization (WMO) World Weather Research Devision’s Joint Working Group on Forecast Verification Research (JWGFVR), 2/22/2018–12/31/2021.
American Meteorological Society's Probability and Statistics Committee (Committee Member:
1/16/2011 to 2/15/15, Committee Chair, 2/15/15 to present)
Co-chair for the 4th International Workshop on Climate Informatics. 25 - 26 September 2014,
National Center for Atmospheric Research, Boulder, Colorado, U.S.A.
NCAR node director for STATMOS (1/1/14 to present)
Associate Editor: Monthly Weather Review, 1/2014 to present
Honors, awards, citations
2014 Editors' Citation for Excellence in Refereeing for Journal of Geophysical Research: Atmospheres
2010 UCAR Scientific and Technical Advancement Award
Full CV (pdf)
