Comparative Analysis of Measured and Downscaled Numerical Data for Surface Air Temperature

EasyChair Preprint 14898

Abstract

Accurate surface air temperature data are fundamental for understanding climate dynamics, weather forecasting, and environmental management. This study presents a comprehensive comparative analysis between observed surface air temperature data and downscaled numerical data derived from global climate models (GCMs). Using a combination of statistical and visualization techniques, we evaluate the efficacy of downscaling methods in replicating observed temperature trends and patterns. Our findings reveal varying degrees of accuracy and notable discrepancies between observed and downscaled data, which have significant implications for climate modeling and regional climate assessments. Recommendations for model improvements and future research directions are discussed to enhance the reliability of downscaled temperature data.

Keyphrases: Climate Research, Data comparison, Downscaling Techniques, Observed Data, Regional Climate Assessment, climate modeling, data accuracy, numerical models, statistical analysis, surface air temperature

@booklet{EasyChair:14898,
  author    = {Toluwani Bolu},
  title     = {Comparative Analysis of Measured and Downscaled Numerical Data for Surface Air Temperature},
  howpublished = {EasyChair Preprint 14898},
  year      = {EasyChair, 2024}}