paper
2022
Climate analysis & attribution
Evaluation or intercomparison of existing models
Classical ML (trees, GP, linear, kernels) Journal
2022-10-19
004
Oct 2022
Tanmya Vishvakarma
International Journal for Research in Applied Science and Engineering Technology
Applies standard ML models to historical global land temperature and CO2 records since 1750 to examine warming trends; methodologically basic.
Climate analysis & attribution
Climate Change Forecasting using Machine Learning Algorithms
In one sentence. Applies standard ML models to historical global land temperature and CO2 records since 1750 to examine warming trends; methodologically basic.
Labels
- Topic
- Climate analysis & attribution
- Type
- Evaluation or intercomparison of existing models
- Method
- Classical ML (trees, GP, linear, kernels)
- Domain
- Global
- Data
- Station / in-situ, Other
- Status
- Research
- Identifiers
- DOI:10.22214/ijraset.2022.47098 OpenAlex:W4306783272
- Added
- 2026-10-22
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