Year: 2020
Type: article
Abstract: The role of Big Data analytics in climate change modeling and prediction has become increasingly important in recent years. With vast amounts of environmental data being generated from satellites, sensors, and climate models, Big Data techniques such as machine learning and data mining are essential for processing and analyzing this information. This article explores how Big Data analytics contributes to climate change modeling, the challenges faced, and the future potential for improving climate predictions, decision-making, and policy development
DOI: 10.71465/ajdsa884
Author: Dr. Richard Hughes
Institution: University of Oxford
Subfield: Information Systems and Management
Field: Decision Sciences
Domain: Social Sciences
SDG: Climate action
Open Access status: hybrid
OpenAlex ID: W7144320622
FWCI:
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