Connecting the change in consecutive dry days and temperature across the urban-rural interface

Extended dry periods have been linked with several environmental stressors including drought, wildfire, and energy and water consumption. Across the United States, the rate of increasing temperatures varies by region. During the warm season, these extended dry spells coincide with high rates of evapotranspiration and can stress agricultural and utility infrastructure. This study utilizes gridded temperature and precipitation data from 1-km Daymet reanalysis in a spatial aggregation algorithm to determine the rate of air temperature change on a climatological scale. The study also incorporates the impact of land use and land cover change by contrasting urban and rural areas while accounting for regional climate variance. Ultimately, the study aims to understand the variability of dry spell length, maximum temperature, and frequency and precipitation intensity across the contiguous United States.