paper
2022
Extremes & hazards
Local & station forecasting New model or method
Classical ML (trees, GP, linear, kernels)Seasonal to annual Journal
2022-08-01
008
Aug 2022
Ahmed Elbeltagi, Manish Kumar, Nand Lal Kushwaha et al.
Stochastic Environmental Research and Risk Assessment
Data-driven forecasting of drought indicators for Jaisalmer, India; the abstract is unavailable, so the method and results are unverified.
Drought indicator analysis and forecasting using data driven models: case study in Jaisalmer, India
In one sentence. Data-driven forecasting of drought indicators for Jaisalmer, India; the abstract is unavailable, so the method and results are unverified.
Labels
- Topic
- Extremes & hazards, Local & station forecasting
- Type
- New model or method
- Method
- Classical ML (trees, GP, linear, kernels)
- Time scale
- Seasonal to annual
- Domain
- Local / station
- Data
- Station / in-situ
- Status
- Research
- Identifiers
- DOI:10.1007/s00477-022-02277-0 OpenAlex:W4289278167
- Added
- 2026-10-22
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