A Statistical Downscaling Approach for Meteorological Model Outputs Toward Human Thermal Stress Assessment in the Human Habitable Environment

Key Points

• The central aim is to improve the accuracy of meteorological model outputs for assessing thermal stress in urban settings.
• Established independent observation points to measure key meteorological factors like temperature and humidity.
• Applied statistical downscaling to meteorological model outputs (MSM) to refine accuracy.
• Compared raw MSM outputs with actual measurements to evaluate correction effectiveness.
• RMSE improved for all factors except humidity after statistical downscaling.
• Calculating the Universal Thermal Climate Index (UTCI) revealed temperature corrections significantly influence results.
• Corrected data showed better alignment with actual conditions, reducing MSM's tendency to underestimate heat.