RainGuru
| Project: RainGuru | |
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| Section | |
| Status | |
| Start Date | 2022-06-01 |
| End Date | |
| Principal Investigator: | User:Marc Schleiss |
| Short Description | Rainfall nowcasting using machine learning |
Related Media
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 | RainGuru logo |
Project Participants
The RainGuRu https://rainguru.tudelft.nl/ is a deep-learning rainfall forecasting model developed by TU Delft researchers and HKV (https://www.hkv.nl/) with the help of seed funding from the TU Delft Safety & Security Institute. The model uses a gated recurrent convolutional neural network known as Traj-GRU, first proposed in 2017 by Shi et al. (https://arxiv.org/abs/1706.03458) and further developed and adapted for the Netherlands by TU Delft master students Eva van der Kooij (2021), Diewertje Dekker (2022) and Yanghuan Zou (2023).