Estimating daily air temperature across the Southeastern United States using high-resolution satellite data: A statistical modeling study.

ABSTRACT: Accurate estimates of spatio-temporal resolved near-surface air temperature (Ta) are crucial for environmental epidemiological studies. However, values of Ta are conventionally obtained from weather stations, which have limited spatial coverage. Satellite surface temperature (Ts) measurements offer the possibility of local exposure estimates across large domains. The Southeastern United States has different climatic conditions, more small water bodies and wetlands, and greater humidity in contrast to other regions, which add to the challenge of modeling air temperature. In this study, we incorporated satellite Ts to estimate high resolution (1km×1km) daily Ta across the southeastern USA for 2000-2014. We calibrated Ts-Ta measurements using mixed linear models, land use, and separate slopes

SUBMITTER: Shi L 

PROVIDER: S-EPMC4761507 | biostudies-literature | 2016 Apr

REPOSITORIES: biostudies-literature