The doi above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future. For a link that will always point to the latest version, please use
doi: 10.4121/12437ba3-4cf4-47c4-928b-94dc9bdec663

Zou, Yanghuan (2023): Data, Code and trained models of RainGuru. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/12437ba3-4cf4-47c4-928b-94dc9bdec663.v1

Dataset

• Environmental Science and Management
• Environmental Engineering
• Climate and Climate Change
• Atmosphere and Weather
• Engineering
• Technology
• Environmental Sciences
• Environment

deep learning model, Precipitation nowcasting, rainfall, recurrent neural network, weather forecast

CC0

RefWorks, BibTeX, Reference Manager, Endnote, DataCite, NLM, DC, CFF

by Yanghuan Zou

The RainGuRu is a deep-learning rainfall nowcasting model developed by TU Delft and HKV, with the use of RNN model - TrajGRU. 

This dataset is built to store all code files, trained models and diverse visual results which are not available in the MSc thesis report of Yanghuan. 

• 2023-10-20 first online, published, posted

4TU.ResearchData

python; jupyter notebook; png; gif

TU Delft, Faculty of Civil Engineering and Geosciences, Department of Geoscience and Remote Sensing