Eric Gilleland, Ph.D.
- Short Courses
Eric Gilleland, Ph.D. (CV, last updated on 6 August 2022)
Joint Numerical Testbed (JNT)
Research Applications Laboratory (RAL)
National Center for Atmospheric Research
P.O. Box 3000, Boulder, CO 80307, USA
- 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.
- Spatial Verification Methods Inter-Comparison Project (ICP) and the Mesoscale Verification Intercomparison over Complex Terrain (MesoVICT) project: http://projects.ral.ucar.edu/icp/
- Vigh, J. L., E. Gilleland, C. L. Williams, D. R. Chavas, N. M. Dorst, 2018: TC-OBS: The Tropical Cyclone Observations-Based Structure Database (Version 0.42, an alpha-level release). Tropical Cyclone Data Project, National Center for Atmospheric Research, Research Applications Laboratory, Boulder, Colorado. [Available online at: http://dx.doi.org/10.5065/D6BC.]
Welcome by my web site. I am a Project Scientist in NCAR's Research Applications Laboratory. My main research interests are spatial statistics, forecast verification methods and extreme value analysis. ORCiD: https://orcid.org/0000-0002-8058-7643.
*Dissertation Title: "Statistical models for quantifying the spatial distribution of seasonally derived ozone standards." (The data are a subset of the data found here, but note that the location is subject to change without my knowing it).
While working on the Ph.D. degree, I was a Research Assistant with NCAR's Geophysical Statistics Project (GSP), which no longer exists.
2020 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
Software I either authored, co-authored, currently maintain, or have some other sort of association with.
distillery: A simple package with some useful method functions used by extRemes (>= 2.0) and SpatialVx (>=0.1-6). As of distillery version 0.1-4, new bootstrap routines are included. They are similar to those found in the boot package but do have some important differences, as well as a function (tibber) for carrying out the test-inversion bootstrap method. See Gilleland (2020; part I and part II) for details.
extRemes (Version >= 2.0) is command-line code extreme value analysis.
in2extRemes: point-and-click software operating some of the functionality included in extRemes.
RadioSonde: software for creating skew-T diagrams and plots with wind barbs.
SpatialVx: software for doing spatial weather forecast verification.
verification: routines predominantly written by Matt Pocernich for performing weather forecast verification.
MET: software package (based on C++) for forecast verification.
Crash-Course in Extremes, 21 May 2019. STATMOS Workshop on Spatial and Spatio-temporal EVA and Oceanography, 21 to 24 May 2019, San Diego, California, U.S.A. (co-organizer). STATMOS is sponsored by the U.S. National Science Foundation (NSF).
9th International Extreme Value Analysis Conference Satellite Workshop on Statistical Computing for Extremes, 14 June 2015, Ann Arbor, Michigan. (Univariate part: Presentation slides, pdf, Practice Problems, pdf)
WCRP-ITCP Summer School on Attribution and Prediction of Extreme Events. 21 July - 1 August 2014, Trieste, Italy. (Introductory slides on stationary EVA: Part I: block maxima, Part II: peaks over threshold, Introductory slides on R and extRemes >= 2.0, and some practice problems). Journal of Weather and Climate Extremes papers from summer school.
Statistical Analysis of Weather and Climate Extremes, AMS 22nd Conference on Probability and Statistics in the Atmospheric Sciences, 2 February 2014, Atlanta, Georgia
Short course: An introduction to the analysis of extreme values using R and extRemes. Short Course, Graybill VIII/6th International Conference on Extreme Value Analysis. Colorado State University, Fort Collins, Colorado. 22 - 26 June 2009
Intense course for young researchers on R Statistical software for climate research with an introduction to extreme value analysis, Interdisciplinary Workshop: Effects of climate change: coastal systems, policy implications, and the role of statistics Workshop. Preluna Hotel and Spa, Sliema, Malta. 16 - 17 March 2009
1 August 2018 - 31 July 2019, Developmental Testbed Center (DTC) visitor to NCAR, Boulder, Colorado, U.S.A. Adavanced Distance-based, Field Deformation and Statistical Hypothesis Utilities for MET.
22 February - 8 March 2017. Department of Statistical Sciences and Operations Research, Virginia Commonwealth University, Richmond, Virginia, U.S.A.
17 April 2014. Department of Mathematical Sciences, University of Delaware, Newark, Delaware, U.S.A.
12 - 14 September 2011. Shell Technology Center, Houston, Texas, U.S.A.
5 - 6 October 2009. Laboratoire des Sciences du Climat et de l'Environnement, IPSL-CNRS, Gif-Sur-Yvette, France.
21 October to 3 November 2007. Mathematical Statistics, Centre for Mathematical Sciences, Lund University, Lund, Sweden.
Seminar: Method for Object-based Diagnostic Evaluation (MODE): A features-based spatial forecast verification technique (pdf), 26 October 2008.
Associate Editor for Monthly Weather Review (January 2014 to present).
Committees and Projects
Program Chair-Elect 2022 for the American Statistical Association Statistics and the Environment (ENVR) Section (9/1/2021 - present).
Member: World Meteorological Organization (WMO) World Weather Research Devision's Joint Working Group on Forecast Verification Research (JWGFVR), 2/22/2018 - 12/31/2021.
Mesoscale Verification Intercomparison in Complex Terrain (organizing committee)
STATMOS (NCAR node director)
AMS Probability and Statistics Committee (member, 1/16/2011 - 2/15/15; chair, 2/15/15 - 1/15/18)
Spatial Forecast Verification Inter-Comparison Project (organizing committee)
STATMOS Workshop on Spatial and Spatio-temporal EVA and Oceanography, 21 to 24 May 2019, San Diego, California, U.S.A. (co-organizer). STATMOS is sponsored by the U.S. National Science Foundation (NSF)
30th Conference on Climate Variability and Change (CVC), 24th Conference on Probability & Statistics, and 16th Conference on Artificial Intelligence (AI), joint with the ENVR section of the American Statistical Association (ASA), 28 - 29 July 2017, Baltimore, Maryland, U.S.A. (co-chair)
4th International Workshop on Climate Informatics. 25 - 26 September 2014, National Center for Atmospheric Research, Boulder, Colorado, U.S.A. (co-chair)
4th Annual UCAR/NCAR Early Career Scientists Assembly (ECSA) Junior Faculty Forum on Future Scientific Directions, 1-3 August 2006, Boulder, Colorado (organizing chair)
LibrariesNCAR University of Colorado Colorado State University
Professional Societies and Organizations
- American Geophysical Union (AGU)
- American Meteorological Society (AMS)
- American Statistical Association (ASA)
- The International Environmetrics Society (TIES)
- Spatial Accuracy Research Group
- WMO World Weather Research Program Forecast Verification Research
- R Project for Statistical Computing
- Statistical and Applied Mathematical Sciences Institute (SAMSI)
- STATMOS (NCAR Node)
- ASA Statistics and the Environment Section
- AMS Committee Probability and Statistics
- North American Regional Climate Change Assessment Program (NARCCAP)
- Forecast verification reference page from the World Meteorological Organization's Joint Working Group on Forecast Verification Research, the World Weather Research rogramme, and the World Climate Research Programme
- WMO JWGFVR WWRP WGNE WCRP Forecast Verification Information
- Developmental Testbed Center
History of the English Language Presentations
Presentation on Frisian (and its connection to English) for IBM's 2009 Take Our Children to Work Day (pdf).
Piter Wilkens is one of the few singer/songwriter's to sing almost exclusively in the West Frisian language, Frisian (he has at least one song in Leeuwardish; a town Frisian dialect). The language was considered the closest living language to English until it was decided that Scots should be considered a separate language (rather than dialect).