RainGuru: Difference between revisions
(Created page with "{{Project |fromDate=2022-06-01 |hasPrincipalInvestigator=Marc Schleiss |hasDescription=Rainfall nowcasting using machine learning }} 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...") |
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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). | 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). | ||
RainGuru comes in two flavors: RainGuru-live https://rainguru.tudelft.nl/, a free, open source alternative to Buienradar for visualizing the latest rainfall forecasts in the Netherlands, visualize real-time rainfall forecasts, calculating key performance metrics and comparing forecasts to past observations. | |||
Rainguru-edu https://rainguru-edu.tudelft.nl a user-friendly platform where students and researchers can upload their own rainfall forecasting models and easily visualize their predictions on famous historical storms. For security reasons, a password is needed to upload a new model. Please contact Marc Schleiss for more information. | |||
Revision as of 14:51, 1 May 2024
| Project: RainGuru | |
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| Section | |
| Status | |
| Start Date | 2022-06-01 |
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| 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).
RainGuru comes in two flavors: RainGuru-live https://rainguru.tudelft.nl/, a free, open source alternative to Buienradar for visualizing the latest rainfall forecasts in the Netherlands, visualize real-time rainfall forecasts, calculating key performance metrics and comparing forecasts to past observations.
Rainguru-edu https://rainguru-edu.tudelft.nl a user-friendly platform where students and researchers can upload their own rainfall forecasting models and easily visualize their predictions on famous historical storms. For security reasons, a password is needed to upload a new model. Please contact Marc Schleiss for more information.