Evaluation of Observed versus Downscaled Numerical Surface Air Temperature Data: a Comparative Analysis

EasyChair Preprint 14899

Abstract

Accurate surface air temperature data are crucial for climate research, weather forecasting, and environmental management. This study presents a thorough evaluation of downscaled numerical surface air temperature data compared to observed temperature data collected from meteorological stations. By employing comprehensive methodologies, including data collection, statistical analysis, and visualization techniques, this research aims to assess the reliability of downscaled data and its applicability in regional climate assessments. The findings highlight significant variations between observed and downscaled data, with implications for improving climate models and enhancing regional climate predictions. Recommendations for refining downscaling techniques and suggestions for future research are also provided.

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:14899,
  author    = {Kayode Sheriffdeen},
  title     = {Evaluation of Observed versus Downscaled Numerical Surface Air Temperature Data: a Comparative Analysis},
  howpublished = {EasyChair Preprint 14899},
  year      = {EasyChair, 2024}}