paper
2023
Nowcasting
Review, survey or tutorial
CNN / U-NetRNN / LSTM / ConvLSTM0–6 h Journal
2023-01-01
012
Jan 2023
Кучма Михаил Олегович, Sergey I. Malkovsky, A.I. Andreev et al.
Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa
Reviews neural network approaches to precipitation nowcasting and tests existing methods, providing a comparative evaluation for radar-based forecasting.
Neural network approaches to precipitation nowcasting: A review and test of existing methods
In one sentence. Reviews neural network approaches to precipitation nowcasting and tests existing methods, providing a comparative evaluation for radar-based forecasting.
Labels
- Topic
- Nowcasting
- Type
- Review, survey or tutorial
- Method
- CNN / U-Net, RNN / LSTM / ConvLSTM
- Time scale
- 0–6 h
- Domain
- Regional
- Data
- Radar
- Status
- Research
- Identifiers
- DOI:10.21046/2070-7401-2023-20-6-35-48 OpenAlex:W4390422323
- Added
- 2026-10-22
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