UNITED STATES ENVIRONMENTAL PROTECTION AGENCY Office of Air Quality Planning and Standards Research Triangle Park, North Carolina 27711 November 9, 1983 MEMORANDUM SUBJECT: Use of Composite Quarterly Meteorological Data with Industrial Source Complex Long Term (ISCLT) Modeling FROM: Joseph A. Tikvart, Chief /s/ Source Receptor Analysis Branch (MD-14) TO: Jack Divita, Chief Air Branch, Region VI This memorandum responds to your staff's request for guidance on quarterly composite meteorological data as input to the ISCLT model for developing lead SIP's. By quarterly composite we mean meteorological data for the same quarter of each of five years, averaged together. This results in four quarters of composite data. Using composite data will necessarily underpredict the worst meteorological regime that occurred during the five years and therefore will underpredict air pollutant concentrations. Therefore, in modeling lead sources, the recommended approach is to run ISCLT using the meteorological data from each of the individual quarters for the five-year period (i.e., twenty quarters of data). This same guidance applies when using other long term models and when modeling the annual mean for a pollutant for which an annual ambient standard exists. Since the annual standard is never to be exceeded with the current form of our standards, attainment should be demonstrated by modeling five individual years of National Weather Service data and checking for the highest estimate rather than using a five-year composite data base as input to the model. If you have any questions concerning this matter, please contact Dean Wilson at 629-5681. cc: Air Branch Chief, Regions I-V, VII-X Air Lead Contact, Regions I-X Regional Modeling Contact, Regions I-X R. Rhoads D. Tyler bcc: R. Bauman J. Calcagni J. Dicke T. Helms B. Nicholson J. Silvasi D. Wilson