Fine‐Tuning a Machine‐Learned 3D Cloud Climatology Reveals Aspects of Cloud Cover Trends
Abstract The Chalmers Cloud Ice Climatology (CCIC) is unique among long‐term cloud records: using retrievals from merged geostationary 11 μm observations, it provides continuous 3D estimates of both frozen hydrometeor mass and cloud probability. Here, we present a key update to CCIC: enhanced detection of thin clouds through tuning of its neural ...
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