paper
2020
Sub-seasonal to seasonal
Post-processing & calibration New model or method
Classical ML (trees, GP, linear, kernels)Seasonal to annual Journal
2020-09-01
008
Sep 2020
Mehdi Gholami Rostam, Seyyed Javad Sadatinejad, Arash Malekian
Journal of Arid Land
Machine learning models predict precipitation from large-scale climate indices in an arid-land region; abstract not available, so classification is low confidence.
Precipitation forecasting by large-scale climate indices and machine learning techniques
In one sentence. Machine learning models predict precipitation from large-scale climate indices in an arid-land region; abstract not available, so classification is low confidence.
Labels
- Topic
- Sub-seasonal to seasonal, Post-processing & calibration
- Type
- New model or method
- Method
- Classical ML (trees, GP, linear, kernels)
- Time scale
- Seasonal to annual
- Domain
- Regional
- Data
- Station / in-situ
- Status
- Research
- Identifiers
- DOI:10.1007/s40333-020-0097-3 OpenAlex:W3103163422
- Added
- 2026-10-22
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