ML4WX

Nowcasting

Effects of Automatic Hyperparameter Tuning on the Performance of Multi‐Variate Deep Learning‐Based Rainfall Nowcasting

Amirmasoud Amini, Mehri Dolatshahi, Reza Kerachian

Water Resources Research ·

PaperPDF

In one sentence. Ensembles of CNN and LSTM networks with automatic hyperparameter tuning improve multi-step rainfall nowcasting by 10-25% over univariate models in Tehran.

Labels

Topic
Nowcasting
Type
New model or method
Method
RNN / LSTM / ConvLSTM, CNN / U-Net, Classical ML (trees, GP, linear, kernels)
Time scale
0–6 h
Domain
Local / station
Data
Station / in-situ, NWP analysis or forecasts (IFS, GFS, ...)
Status
Research
Identifiers
DOI:10.1029/2022wr032789 OpenAlex:W4315490959
Added
2026-10-22

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