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https://github.com/petrosdemetrakopoulos/lstm-radar-precipitation-forecast
A model for short-term precipitation forecasting based on radar data
https://github.com/petrosdemetrakopoulos/lstm-radar-precipitation-forecast
convlstm deep-learning keras lstm lstm-neural-networks machine-learning tensorflow weather-forecast
Last synced: 8 days ago
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A model for short-term precipitation forecasting based on radar data
- Host: GitHub
- URL: https://github.com/petrosdemetrakopoulos/lstm-radar-precipitation-forecast
- Owner: petrosDemetrakopoulos
- Created: 2022-12-12T13:40:44.000Z (about 2 years ago)
- Default Branch: main
- Last Pushed: 2024-02-15T12:07:36.000Z (12 months ago)
- Last Synced: 2024-02-15T13:27:56.353Z (12 months ago)
- Topics: convlstm, deep-learning, keras, lstm, lstm-neural-networks, machine-learning, tensorflow, weather-forecast
- Language: Jupyter Notebook
- Homepage:
- Size: 7.85 MB
- Stars: 32
- Watchers: 3
- Forks: 8
- Open Issues: 1
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
## Short-term precipitation forecasting from weather radar data using Convolutional LSTM neural networks
This is the repository with the code accompanying this [Medium article](https://medium.com/@petrosdemetrakopoulos/short-term-precipitation-forecasting-using-convolutional-lstm-neural-networks-f347db1b5f1d).The relevant paper is also available in [ArXiv](https://arxiv.org/abs/2312.01197)
## Data
The raw data used for training and validation can be found [in this link](https://drive.google.com/drive/folders/17MCuvQmcydUSNUFwf_rZLtFt2K0kddlV?usp=sharing) (too large to host on GitHub). A trained version of the model can also be found in the same link for inference purposes.
## The model
The model was developed using Tensorflow and Keras
![Model](./model.png)
## Results
![Ground Truth](./ground_truth.gif)![Predicted frames](./predicted.gif)
## Cite
```
@misc{demetrakopoulos2023shortterm,
title={Short-term Precipitation Forecasting in The Netherlands: An Application of Convolutional LSTM neural networks to weather radar data},
author={Petros Demetrakopoulos},
year={2023},
eprint={2312.01197},
archivePrefix={arXiv},
primaryClass={cs.LG}
}
```