NASA Logo

NTRS

NTRS - NASA Technical Reports Server

Back to Results
Approach to forecasting daily maximum ozone levels in St. LouisMeasurements taken in 1976 from the St. Louis Regional Air Pollution Study (RAPS) data base, conducted by EPA, were analyzed to determine an optimum set of air-quality and meteorological variables for predicting maximum ozone levels for each day in 1976. A 'leaps and bounds' regression analysis was used to identify the best subset of variables. Three particular variables, the 9 a.m. ozone level, the forecasted maximum temperature, and the 6-9 a.m. averaged wind speed, have useful forecasting utility. The trajectory history of air masses entering St. Louis was studied, and it was concluded that transport-related variables contribute to the appearance of very high ozone levels. The final empirical forecast model predicts the daily maximum ozone over 341 days with a standard deviation of 11 ppb, which approaches the estimated error.
Document ID
19810044296
Acquisition Source
Legacy CDMS
Document Type
Reprint (Version printed in journal)
Authors
Prior, E. J.
(NASA Langley Research Center Hampton, VA, United States)
Schiess, J. R.
(NASA Langley Research Center Hampton, VA, United States)
Mcdougal, D. S.
(NASA Langley Research Center Hampton, Va., United States)
Date Acquired
August 11, 2013
Publication Date
April 1, 1981
Publication Information
Publication: Environmental Science and Technology
Volume: 15
Subject Category
Environment Pollution
Accession Number
81A28700
Distribution Limits
Public
Copyright
Other

Available Downloads

There are no available downloads for this record.
No Preview Available