>> Faculty & Staff
Dr. Daniel Wilks
Professor
Director of Graduate Studies
1104A Bradfield Hall
607-255-1750
Email: dsw5@cornell.edu
Concentration
Statistics
Education
B Sc. Uiversity of California, Berkeley, 1975
M Sc. Uiversity of California, Berkeley, 1977
Ph D. Oregon State University, 1986
Overview
My work involves application of statistical methods to quantifying and dealing with uncertainty in meteorological and climatological data and forecasts, in a variety of contexts.
Research
Much of my research during the past 5 years has related to forecast evaluation, ensemble forecasting, or both. Other areas in which I have worked are in the use and economic value of forecasts in formal decision-making models, "weather generators" (time-domain time series models for weather data), interpretation and use of long lead ("climate") forecasts, and studies of climate-change impacts.
Instruction Focus
My courses are: EAS 435 (Statistical Methods in Meteorology and Climatology), Fall terms; EAS 666 (Applied Multivariate Statistics), Spring terms, odd-numbered years; EAS 334 (Microclimatology) Spring terms, even-numbered years; and EAS 296 (Forecast Competition) Spring and Fall terms. Also, I am author of the textbook Statistical Methods in the Atmospheric Sciences.
Selected Publications
- Wilks, D.S., C.J. Neumann, and M.B. Lawrence, 2009. Statistical extension of the National Hurricane Center 5-day forecasts. Weather and Forecasting, 24: 1052-1063.
- Wilks, D.S., 2009, Extending logistic regression to provide full-probability-distribution MOS forecasts. Meteorological Applications, 16: 361-368.
- A gridded multisite weather generator and synchronization to observed weather data. Water Resources Research, in press.
- Wilks, D.S., 2008. Effects of stochastic parameterisations in conceptual climate models. Philosophical Transactions of the Royal Society A, in press.
- Wilks, D.S., 2008. Improved statistical seasonal forecasts using extended training data. International Journal of Climatology, 28: 1589-1598.