Remote Sensing of Local Warming Trend in Alberta, Canada during 2001–2020, and Its Relationship with Large-Scale Atmospheric Circulations

Here, the objective was to study local warming trend and its driving factors in natural subregions of Alberta using a remote-sensing approach. We applied Mann–Kendall test Sen’s slope estimator on day nighttime MODIS LST time-series images map quantify extent magnitude monthly annual trends 21 Alberta. also performed correlation analysis anomalies (both nighttime) with teleconnection patterns, i.e., Pacific North American (PNA), decadal oscillation (PDO), Arctic (AO), sea surface temperature (SST, Niño 3.4 region) indices, identify relationship. May month that showed most significant for both night during 2001–2020 Rocky Mountains Boreal Forest. Subregions Grassland Parkland southern southeastern parts cooling daytime July August small June at night. found November identified from PNA pattern had influence February April October December 2001–2020; however, none atmospheric oscillations any relationship warming/cooling months.