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This project is created and uploaded in support of the preprint: Probabilistic high-temporal resolution surface wind nowcasting with deep learning models by Mengmeng Han,Brad Murphy and Tennessee Leeuwenburg. Data.7z: Data used in the paper for model training and validation has been included in this project. The ACCESS-C dataset is composed of grid values at site locations, extracted from original ACCESS-C gridded data and stored in .csv format. The original ACCESS-C dataset can be accessed from National Computational Infrastructure (NCI) data catalog at https://thredds.nci.org.au/thredds/catalog/catalogs/wr45/ops_aps3/ops_aps3.html. The station metadata and data extraction and preprocessing script (access.py) are located in the same folder as the data. Selected site observation data has been approved by Bureau of Meteorology Australia to be archived on NCI under project code fx31. Web location providing data acesss free of registration will come soon. src.7z: Code release for the project has been approved for release by Bureau of Meteorology, Australia. The version of the code repo used for the study is included in this project with dependencies as described in requirements.md.