Precipitation Nowcasting - Groups

Google Research’s MetNet dataset

The dataset used for precipitation nowcasting with ConvLSTM deep-learning model

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Multi-Radar Multi-Sensor (MRMS) dataset

The dataset used for precipitation nowcasting with ConvLSTM deep-learning model

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Dutch precipitation map dataset

The dataset is used for precipitation nowcasting tasks.

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Convolutional LSTM network: A machine learning approach for precipitation now...

Convolutional LSTM network: A machine learning approach for precipitation nowcasting.

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PTCT: Patches with 3D-Temporal Convolutional Transformer Network for Precipit...

Precipitation nowcasting is to predict the future rainfall intensity over a short period of time, which mainly relies on the prediction of radar echo sequences.

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Precipitation Nowcasting Dataset

The dataset used in the paper is a precipitation nowcasting dataset, which is a sequence-to-sequence problem. The dataset contains radar echo maps and rainfall maps.

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Precipitation Nowcasting using Deep Neural Network

Precipitation nowcasting dataset based on radar echo, collected by METEO FRANCE in France from 2017 to 2018.

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NowcastNet dataset

The dataset used for benchmarking machine learning force fields (MLFF) and jet tagging.

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Radar and in-situ precipitation datasets across South Korea

This dataset contains radar reﬂectivity images around South Korea, and the locations of weather stations over South Korea.

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9 datasets found