Record Display for the EPA National Library Catalog

RECORD NUMBER: 401 OF 469

OLS Field Name OLS Field Data
Main Title Temperature Scenario Development Using Regression Methods. Phase 2.
Author Robinson., P. J. ;
CORP Author North Carolina Univ. at Chapel Hill. Dept. of Geography.;Environmental Protection Agency, Research Triangle Park, NC. Atmospheric Research and Exposure Assessment Lab.
Publisher Aug 91
Year Published 1991
Report Number EPA/600/3-91/049;
Stock Number PB91-231506
Additional Subjects Climatic changes ; Greenhouse effect ; Computerized simulation ; Regression analysis ; Temperature distribution ; Climatology ; Carbon dioxide ; Atmospheric circulation ; Computer programs ;
Holdings
Library Call Number Additional Info Location Last
Modified
Checkout
Status
NTIS  PB91-231506 Most EPA libraries have a fiche copy filed under the call number shown. Check with individual libraries about paper copy. NTIS 11/26/1991
Collation 58p
Abstract
A method of developing scenarios of future temperature conditions resulting from climatic change is presented. The method is straightforward and can be used to provide information about daily temperature variations and diurnal ranges, monthly average high and low temperatures, and the frequency with which user-selected high- and low-temperature thresholds are crossed. Linear regressions between monthly average temperature and these various attributes are established by using the observational record of daily maximum and minimum temperature. These regressions are then used to estimate values from the monthly average temperatures estimated by General Circulation Models to occur as a result of a doubling of atmospheric CO(2). Values can be established for any location having daily temperature records. For the United States the station density is sufficient to allow the creation of detailed regional scenarios on the spatial and temporal scales required for impact assessment. The assumptions, scientific and statistical, inherent in this regression-based approach are reviewed. The method has been incorporated into a self-contained PC-based computer program requiring only the actual temperature data to be input by the user. A demonstration of the use of the program, incorporating discussion of techniques for evaluating the quality of the resultant scenario, is provided.