Very short CV. Full CV (pdf) follows.
Education
Ph.D., 2005, Statistics, Colorado State University, Fort Collins, Colorado
Current Appointment
Project Scientist II: Research Applications Laboratory, National Center for Atmospheric Research
Honors, awards, citations
- 2022 UCAR Technical Advancement in Support of Science Award
- 2020 American Meteorological Society Editor's Award for Monthly Weather Review
- 2014 Editors' Citation for Excellence in Refereeing for Journal of Geophysical Research: Atmospheres
- 2010 UCAR Scientific and Technical Advancement Award
Educational Services
Graduate Students
1. Co-adviser for Vitaly Kholodovsky’s Ph.D. committee at University of Maryland, Baltimore Campus, Department of Atmospheric and Oceanic Sciences. Defended dissertation on 9/26/23.
2. Served on Tian Yu Yen's Ph.D. committee at University of Colorado, Denver's Department of Mathematical and Statistical Sciences. Defended on 14 July 2021.
3. Dissertation Committee Member, Diego Garzena, Ph.D., Università degli Studi di Torino, 17 February 2017.
4. NCAR Staff Sponsor for NCAR's Advanced Study Program (ASP) Graduate Student Visitor Program, Linyin Cheng, University of California, Irvine, (2013) Resulted in the papers Cheng et al. (2014a,b). Linyin is now a professor at University of Arkansas.
5. Thesis Committee Member, Apputhurai Pragalathan, Ph.D., Swinburne University of Technology, (2012).
Selected Refereed Publications
Gilleland, E., D. Muñoz-Esparza, and D. D. Turner, 2023. Competing forecast verification: Using the power-divergence statistic for testing the frequency of "better." Weather and Forecasting, 38 (9), 1539 - 1552, doi: 10.1175/WAF-D-22-0201.1.
Brunner, M. I., D. L. Swain, R. R., Wood, F., Willkofer, J.M., Done, E. Gilleland, and R. Ludwig, 2021. An extremeness threshold determines the regional response of floods to changes in rainfall extremes. Communications Earth & Environment, doi: 10.1038/s43247-021-00248-x.
Jha, S., M. Goyal, B. B. Gupta, C.-H. Hsu, E. Gilleland, and J. Das, 2021. A methodological framework for extreme climate risk assessment integrating satellite and location based datasets in Intelligent Systems. International Journal of Intelligent Systems, (in press), doi: 10.1002/int.22475.
Gilleland, E., 2021. Novel measures for summarizing high-resolution forecast performance. Advances in Statistical Climatology, Meteorology and Oceanography, 7 (1), 13 - 34, doi: 10.5194/ascmo-7-13-2021.
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
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., 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
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.
Committee Service
1. Program Chair-Elect 2022 for the American Statistical Association Statistics and the Environment (ENVR) Section (9/2021 – 9/2022). Program Chair (9/2022 – 9/2023).
2. Member: World Meteorological Organization (WMO) World Weather Research Devision's Joint Working Group on Forecast Verification Research (JWGFVR), 2/22/2018 – 12/31/2021.
3. NCAR node director for STATMOS (1/1/14 – 6/1/2019), https://www.statmos.washington.edu/?page_id=266).
4. American Meteorological Society's Probability and Statistics Committee (Committee Member: 1/16/2011 – 2/15/15, Committee Chair, 2/15/15 – 1/15/18).
5. Organizing committee of the Mesoscale Verification Intercomparison in Complex Terrain (Meso-VICT) project.
6. Lead organizer of the Spatial Forecast Verification Methods Inter-Comparison Project (ICP, http://www.ral.ucar.edu/projects/icp/).
Full CV (pdf)
