Climate analysis & attribution
Big Data Analytics for Climate Change Modeling and Prediction
In one sentence. Review of big data and machine learning for climate change modeling using satellite, sensor and climate model data, covering challenges and outlook without new methods.
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
Labels
- Topic
- Climate analysis & attribution
- Type
- Review, survey or tutorial
- Method
- Classical ML (trees, GP, linear, kernels)
- Domain
- Global
- Data
- Satellite, CMIP / climate model output
- Status
- Research
- Identifiers
- DOI:10.71465/ajdsa884 OpenAlex:W7144320622
- Added
- 2026-10-22
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