Spatio-temporal interpolation and delineation of extreme heat events in California between 2017 and 2021.

ABSTRACT: Robust spatio-temporal delineation of extreme climate events and accurate identification of areas that are impacted by an event is a prerequisite for identifying population-level and health-related risks. In prior research, attributes such as temperature and humidity have often been linearly assigned to the population of the study unit from the closest weather station. This could result in inaccurate event delineation and biased assessment of extreme heat exposure. We have developed a spatio-temporal model to dynamically delineate boundaries for Extreme Heat Events (EHE) across space and over time, using a relative measure of Apparent Temperature (AT). Our surface interpolation approach offers a higher spatio-temporal resolution compared to the standard nearest-station (NS) assignment meth

SUBMITTER: Fard P 

PROVIDER: S-EPMC10591937 | biostudies-literature | 2023 Nov

REPOSITORIES: biostudies-literature