Data Analytics in Climate Change Studies
dc.contributor.advisor | Khaiter, Peter A. | |
dc.contributor.author | Bhardwaj, Eshta | |
dc.date.accessioned | 2022-08-08T15:51:10Z | |
dc.date.available | 2022-08-08T15:51:10Z | |
dc.date.copyright | 2022-04-08 | |
dc.date.issued | 2022-08-08 | |
dc.date.updated | 2022-08-08T15:51:10Z | |
dc.degree.discipline | Information Systems and Technology | |
dc.degree.level | Master's | |
dc.degree.name | MA - Master of Arts | |
dc.description.abstract | The 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. | |
dc.identifier.uri | http://hdl.handle.net/10315/39617 | |
dc.language | en | |
dc.rights | Author owns copyright, except where explicitly noted. Please contact the author directly with licensing requests. | |
dc.subject | Climate change | |
dc.subject.keywords | Climate change | |
dc.subject.keywords | Data analysis | |
dc.subject.keywords | Visualization tool | |
dc.subject.keywords | Climate model | |
dc.title | Data Analytics in Climate Change Studies | |
dc.type | Electronic Thesis or Dissertation |
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