# Big Data Analytics for Climate Change Modeling and Prediction

> 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...

## Metadata
- Authors: Dr. Richard Hughes
- Journal: American Journal of Data Science and Analysis
- Published: 2020-08-31
- DOI: https://doi.org/10.71465/ajdsa884
- Source: OpenAlex
- Access: Open Access

## Technology Hub
- Hub: Climate Science
- Discipline: Earth Science / Environmental
- Hub URL: https://science-database.com/technology/climate-science
- Hub llms.txt: https://science-database.com/technology/climate-science/llms.txt

## 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

## Links
- DOI: https://doi.org/10.71465/ajdsa884
- OpenAlex: https://openalex.org/W7144320622
- PDF: https://australiansciencejournals.com/ajdsa/article/download/884/986
- JSON API: https://science-database.com/api/v1/technology/climate-science

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Paper ID: oa-W7144320622 | Hub: climate-science