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...") |
No edit summary |
||
(3 intermediate revisions by the same user not shown) | |||
Line 1: | Line 1: | ||
{{Project | {{Project | ||
|hasSection=ARS | |||
|hasStatus=on-going | |||
|fromDate=2022-06-01 | |fromDate=2022-06-01 | ||
|hasPrincipalInvestigator=Marc Schleiss | |hasPrincipalInvestigator=Marc Schleiss | ||
Line 5: | Line 7: | ||
}} | }} | ||
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. | |||
*MSc thesis Eva van der Kooij: https://repository.tudelft.nl/islandora/object/uuid%3A536b1a77-625c-4476-9354-4d5b259a1080 | |||
*MSc thesis Diewertje Dekker: https://repository.tudelft.nl/islandora/object/uuid%3A5e61e2a7-bf04-41cd-a66a-68d1ceeb3c99 | |||
*MSc Yanghuan Zou: https://repository.tudelft.nl/islandora/object/uuid%3A08ee6883-4804-4a3d-809d-7376fa6f41f0 |
Latest revision as of 15:00, 1 May 2024
Project: RainGuru | |
---|---|
Section | ARS |
Status | on-going |
Start Date | 2022-06-01 |
End Date | |
Principal Investigator: | User:Marc Schleiss |
Short Description | Rainfall nowcasting using machine learning |
Related Media
date ᵖ | description ᵖ | |
---|---|---|
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.
- MSc thesis Eva van der Kooij: https://repository.tudelft.nl/islandora/object/uuid%3A536b1a77-625c-4476-9354-4d5b259a1080
- MSc thesis Diewertje Dekker: https://repository.tudelft.nl/islandora/object/uuid%3A5e61e2a7-bf04-41cd-a66a-68d1ceeb3c99
- MSc Yanghuan Zou: https://repository.tudelft.nl/islandora/object/uuid%3A08ee6883-4804-4a3d-809d-7376fa6f41f0