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Seeing the Wind: Visual Wind Speed Prediction with a Coupled Convolutional and Recurrent Neural Network

NeurIPS 2019 · Probabilistic and scientific modeling › Dynamical systems · approach: Data assimilation from sparse observations · 18 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
Add temporal mean subtraction to the ResNet-18 features (ablation)ResNet-18 + LSTM · Adjacent Flag Test SetMeasurable Range RMSE (m/s): 3.10 -> 1.85Helped
Add temporal mean subtraction to the ResNet-18 features (ablation)ResNet-18 + LSTM · Tunnel Test SetMeasurable Range RMSE (m/s): 9.61 -> 1.82Helped
Add temporal mean subtraction to the ResNet-18 features (ablation)ResNet-18 + LSTM · Flag Validation SetOverall RMSE (m/s): 1.37 -> 1.42No clear effect
Add temporal mean subtraction to the ResNet-18 features (ablation)ResNet-18 + LSTM · Tree Validation SetOverall RMSE (m/s): 1.53 -> 1.63No clear effect
Use clips within the measurable wind-speed rangeLSTM-NM · Flag Validation SetRMSE (m/s): 1.42 -> 1.37Helped

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