Background Using current climate models, regional-scale changes for Florida over the next 100 years are predicted to include warming over terrestrial areas and very likely increases in the number of high temperature extremes. No uniform definition of a heat wave exists. Most past research on heat waves has focused on evaluating the aftermath of known heat waves, with minimal consideration of missing exposure information. Objectives To identify and discuss methods of handling and imputing missing weather data and how those methods can affect identified periods of extreme heat in Florida. Methods In addition to ignoring missing data, temporal, spatial, and spatio-temporal models are described and utilized to impute missing historical weather data from 1973 to 2012 from 43 Florida weather monitors. Calculated thresholds are used to define periods of extreme heat across Florida. Results Modeling of missing data and imputing missing values can affect the identified periods of extreme heat, through the missing data itself or through the computed thresholds. The differences observed are related to the amount of missingness during June, July, and August, the warmest months of the warm season (April through September). Conclusions Missing data considerations are important when defining periods of extreme heat. Spatio-temporal methods are recommended for data imputation. A heat wave definition that incorporates information from all monitors is advised.
School of Natural Resources and Environment, University of Florida, PO Box 116455, Gainesville, FL, 32611, United States of America;Department of Statistics, University of Florida, PO Box 118545, Gainesville, FL, 32611, United States of America;Public Health Research Unit, Florida Department of Health, 4052 Bald Cypress Way, Tallahassee, FL, 32399-1708, United States of America;Public Health Research Unit, Florida Department of Health, 4052 Bald Cypress Way, Tallahassee, FL, 32399-1708, United States of America
Recommended Citation:
Emily Leary,Linda J. Young,Chris DuClos,et al. Identifying Heat Waves in Florida: Considerations of Missing Weather Data[J]. PLOS ONE,2015-01-01,10(11)