paper
2023
Extremes & hazards
Sub-seasonal to seasonal New model or method
Classical ML (trees, GP, linear, kernels)RNN / LSTM / ConvLSTM2 weeks–2 months Journal
2023-05-01
008
May 2023
Vidya Mote, Adarsh Patil, Samrudhi Patil et al.
International Journal of Innovative Research in Engineering
ML models predict India heatwave occurrence a month ahead for each 1° grid cell using six months of maximum temperature data.
Heat Wave Predication Correlate Data to Predict Drought
In one sentence. ML models predict India heatwave occurrence a month ahead for each 1° grid cell using six months of maximum temperature data.
Labels
- Topic
- Extremes & hazards, Sub-seasonal to seasonal
- Type
- New model or method
- Method
- Classical ML (trees, GP, linear, kernels), RNN / LSTM / ConvLSTM
- Time scale
- 2 weeks–2 months
- Domain
- Regional
- Data
- Station / in-situ, NWP analysis or forecasts (IFS, GFS, ...)
- Status
- Research
- Identifiers
- DOI:10.59256/ijire.2023040245 OpenAlex:W4367599296
- Added
- 2026-10-22
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