GREMLIN CONUS1 Manually Selected Storms Dataset
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下载链接：
http://datadryad.org/dataset/doi%253A10.5061%252Fdryad.m905qfv60
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资源简介：
The CONUS1 dataset is a "toy" dataset that is small enough to be able to train a convolutional neural network on a laptop computer to do image translation from geostationary satellite images to ground-based radar images. It provides three input channels from GOES-16 ABI, one input channel from GOES-16 GLM, and one output channel from MRMS.
Methods
The methodology is described in detail by Hilburn et al. (2021). The ABI, GLM, and MRMS data sets were resampled to a common 3 km grid. A cloud height of 10 km was used for removing parallax displacements. Satellite and radar samples were matched in time with a maximum time difference of 2.5 minutes. GLM lightning groups were accumulated over 15-minute time periods.
创建时间：
2023-04-21
