Khaiter, Peter A.Bhardwaj, Eshta2022-08-082022-08-082022-04-082022-08-08http://hdl.handle.net/10315/39617The observed trends of climate change have wide ramifications to the sustainability of a normal lifestyle. The application of data analysis techniques can increase the knowledge around climate studies while introducing additional research methods. The proposed research showcases the development of a novel data analytics framework to address the gap in data modeling for the comparison of climate model data and observational data. A detailed data pipeline for data collection, extraction, wrangling, analysis, and visualization is discussed. The practical implementation of the framework is presented through a visualization tool, Weather Analysis Regional Model, to aid researchers and practitioners in their analysis of climate data.Author owns copyright, except where explicitly noted. Please contact the author directly with licensing requests.Climate changeElectronic Thesis or Dissertation2022-08-08Climate changeData analysisVisualization toolClimate model