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Data #39
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Hurricane dataset aquired. It contains snapshots of the global atmospheric states for every three hours. (1 timestep = 3 hours) Each snapshot contains multiple physical variables among which we use the six most important climate variables to define hurricane from scientific literature, such as PSL (Sea level pressure), U850 (Zonal wind), V850 (Meriodional wind), PRECT (Precipitation), TS (Surface temperature), QREFHT (Reference high humidity) by order.
A description of the data used for our model is provided
XRAGE data is created for project (unfortunately a release was not granted so backup data set had to be used instead)
Uploading python file
Created a python code to load data and generate images from the data
Created python script to load and generate images from the dataset
wrote information about dataset
wrote information about the initial dataset
updated image_gen.py to address formatting issues
fixed formatting |
deleted XRAGE info
Deleted data info
fixed formatting
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Purpose
Closes [TODO] Generate Dataset #14
Closes [TODO] Data post processing #17
Type of change
New Feature
Code style update
Documentation update
Checklist
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