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Activity Number: 408 - SPAAC Poster Competition
Type: Topic Contributed
Date/Time: Tuesday, July 31, 2018 : 2:00 PM to 3:50 PM
Sponsor: Scientific and Public Affairs Advisory Committee
Abstract #329227
Title: Using Error Statistics to Improve Forecasts
Author(s): Hope Cullers* and Mike Baldwin
Companies: Purdue University and Purdue University
Keywords: Weather; Forecast; Error
Abstract:

Weather forecasts are based on the compilation and distribution of patterns found in past weather observations. In order to determine how accurate forecasts are, they are compared to corresponding observations and the error between the forecasts and observations is determined. Can these calculated errors be further used to improve the accuracy of forecasts? Some work has already been done in this area, but there appears to be quite a bit more room for improvement. Current methods as well as possible future methods will be researched, tested, and compared. Forecasts from both the National Weather Service and numerical weather prediction models will be used. This material is based upon work supported by the National Science Foundation under Grant No. 1246818.


Authors who are presenting talks have a * after their name.

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