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Found 3 papers, 2 papers with code
Improved Infilling of Missing Metadata from Expendable Bathythermographs (XBTs) Using Multiple Machine Learning Methods
mean the XBT probe type information is often missing, for 59% of profiles between 1967 and 2000, limiting the develop- ment of reliable bias corrections.
Skillful Precipitation Nowcasting using Deep Generative Models of Radar
To address these challenges, we present a Deep Generative Model for the probabilistic nowcasting of precipitation from radar.
A review of radar-based nowcasting of precipitation and applicable machine learning techniques
A 'nowcast' is a type of weather forecast which makes predictions in the very short term, typically less than two hours - a period in which traditional numerical weather prediction can be limited.
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