GOES-16 ABI and collocated SNPP-VIIRS imagery for evaluating the emulation of daytime cloud products at night

This dataset contains the testing set for Emulating Daytime ABI Cloud
Optical Properties at Night with Machine Learning, currently in
preparation for peer review. These files contain the information needed
for reproducing the analysis and all figures in the manuscript. These
files primarily contain Advanced Baseline Imager (ABI) brightness
temperatures for 9 channels, cloud properties from the NOAA operational
products, cloud optical depth, cloud effective radius, and derived cloud
water path, including accompanying estimates from the machine learning
emulator. Daytime evaluation files are for testing the effectiveness of a
machine learning emulator during the daytime. Twilight files are for
illustrating the impact of the day/night terminator on cloud water path
distributions. Nighttime files are for evaluating the machine learning
emulator in the target domain by comparing to a physical retrieval using
lunar reflectance on the Visible Imaging Infrared Radiometer Suite (VIIRS)
Day/Night Band (DNB).