Machine Learning Models for Climate Prediction and Adaptation Planning
In one sentence. Systematic literature review of machine learning for climate prediction and adaptation planning, with a Morocco focus; offers no new model or result.
Abstract
This article examines Machine Learning Models for Climate Prediction and Adaptation Planning with a focused emphasis on Morocco within the field of Computer Science. It is structured as a systematic literature review that organises the problem, the strongest verified scholarship, and the main analytical implications in a concise publication-ready format. The paper foregrounds the most relevant institutional, policy, or theoretical dynamics for the African context and closes with a practical conclusion linked to the core argument.
Labels
- Topic
- Applications & impacts, Climate analysis & attribution
- Type
- Review, survey or tutorial
- Method
- Classical ML (trees, GP, linear, kernels)
- Time scale
- Climate projections / centennial
- Domain
- Regional
- Status
- Research
- Identifiers
- DOI:10.5281/zenodo.19696977 OpenAlex:W7155215563
- Added
- 2026-10-22
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