Abstract

ORD numerical models for pesticide exposure include a model of spray drift (AgDisp), a cropland pesticide persistence model (PRZM), a surface water exposure model (EXAMS), and a model of fish bioaccumulation (BASS). A unified climatological database for these models has been assembled from several National Weather Service (NWS) datasets, including Solar and Meteorological Surface Observation Network (SAMSON) data for 1961-1990 (versions 1.0 and 1.1), combined with NWS precipitation and evaporation data. Together these NWS products provide coordinated access to solar radiation, sky cover, temperature, relative humidity, station atmospheric pressure, wind direction and speed, and precipitation. The resulting hourly and daily weather parameters provide a unified dataset for use in coordinated exposure modeling. The data files, which include some derived data of use to exposure modeling (e.g., short-grass crop standard evapotranspiration ET ) are publicly available
0
(gratis) on EPA's Center for Exposure Assessment Modeling (CEAM) web site at https://19january2021snapshot.epa.gov/ceam/meteorological-data . By using observational data for models, “trace-matching” Monte Carlo simulation studies can transmit the effects of environmental variability directly to exposure metrics, by-passing issues of correlation (covariance) among external driving forces.
This report covers a period from May 2, 2001 to December 27, 2004 and work was completed as of December 27, 2004.

• United States Meteorological Data: Daily and Hourly Files to Support Predictive Exposure Modeling (PDF)(397 pp, 2 MB, December 2004, EPA/600/R!07/053)
  The resulting hourly and daily weather parameters provide a unified dataset for use in coordinated exposure modeling.