S
Stanley A. Changnon
Researcher at University of Illinois at Urbana–Champaign
Publications - 399
Citations - 14852
Stanley A. Changnon is an academic researcher from University of Illinois at Urbana–Champaign. The author has contributed to research in topics: Precipitation & Weather modification. The author has an hindex of 50, co-authored 399 publications receiving 13986 citations. Previous affiliations of Stanley A. Changnon include Urbana University & University of Rochester.
Papers
More filters
Journal ArticleDOI
Urban Effects on Severe Local Storms at St. Louis
TL;DR: In this paper, the authors made a five-year study of how St. Louis affects summer weather, studies were made of possible urban effects on severe local storm phenomena and found that urban-induced factors alter the microphysical and dynamic properties of clouds and storms.
Journal ArticleDOI
Temporal and Spatial Characteristics of Snowstorms in the Contiguous United States
TL;DR: A climatological analysis of snowstorms across the contiguous United States, based on data from 1222 weather stations with data during 1901-2001, defined the spatial and temporal features as discussed by the authors.
Journal ArticleDOI
Increasing major hail losses in the U.S.
TL;DR: The most recent record high of $1.822 billion in property losses due to hailstorms on April 13-14, 2006, resulted in Midwestern property losses that totaled $1,822billion, an amount considerably more than the previous record high set by an April 2001 hail event.
Journal ArticleDOI
Climatography of Thunder Events in the Conterminous United States. Part II: Spatial Aspects
TL;DR: The average temporal and spatial distributions of thunder events (periods of discrete thunder activity heard at a point) in the conterminous United States were found to be generally similar to those of thunder days as discussed by the authors.
Journal ArticleDOI
Evaluation of Weather Catastrophe Data for Use in Climate Change Investigations
TL;DR: In this paper, the authors examined a data set of major weather losses developed by the property insurance industry to assess its potential utility in climate change research and use in assessing the relevance of recent extreme losses in the United States.