A multi-resolution air temperature model for France from MODIS and Landsat thermal data.

ABSTRACT: Understanding and managing the health effects of ambient temperature (T_a) in a warming, urbanizing world requires spatially- and temporally-resolved T_a at high resolutions. This is challenging in a large area like France which includes highly variable topography, rural areas with few weather stations, and heterogeneous urban areas where T_a can vary at fine spatial scales. We have modeled daily T_a from 2000 to 2016 at a base resolution of 1 km² across continental France and at a 200 × 200 m² resolution over large urban areas. For each day we predict three T_a measures: minimum (T_min), mean (T_mean), and maximum (T_max). We start by using linear mixed models to calibrate daily T_a</

SUBMITTER: Hough I 

PROVIDER: S-EPMC7167357 | biostudies-literature | 2020 Apr

REPOSITORIES: biostudies-literature