paper
2023
Extremes & hazards
New model or method
RNN / LSTM / ConvLSTM6 h–3 days Journal
2023-08-04
004
Aug 2023
V.S. Samy, Veena Thenkanidiyoor
Journal of Intelligent & Fuzzy Systems
LSTM-based blizzard prediction on Antarctic polar station data; reported accuracies of 49.6% and 55.2% are low and the evaluation is weakly documented.
Blizzard prediction in antarctic meteorological data using deep learning techniques
In one sentence. LSTM-based blizzard prediction on Antarctic polar station data; reported accuracies of 49.6% and 55.2% are low and the evaluation is weakly documented.
Labels
- Topic
- Extremes & hazards
- Type
- New model or method
- Method
- RNN / LSTM / ConvLSTM
- Time scale
- 6 h–3 days
- Domain
- Local / station
- Data
- Station / in-situ
- Status
- Research
- Identifiers
- DOI:10.3233/jifs-224543 OpenAlex:W4385575861
- Added
- 2026-10-22
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