Radar remote sensing of clouds and precipitation is an area of active and vibrant research with numerous advancements resulting in improved hydrometeorological applications. Many processing steps are needed to convert raw radar observations into useful geophysical quantities that require the knowledge of radar technology, atmospheric processes, microphysics, and data sciences. This session focuses on the state-of-the-art radar observations, as well as radar related weather, water, and/or cloud resolving model applications. This session will also feature presentations devoted to machine learning and data sciences in hydrometeorology remote sensing, orographic and extreme precipitation. Topics include but are not limited to:

• Scanning and vertically pointing radars from S- to W-band;
• Identification of hydrometeor phases and microphysical features in radar measurements;
• Network or field campaign observations monitoring clouds and/or precipitation;
• Orographic and winter precipitation;
• Multi-sensor-based products for weather, water, and/or cloud model applications;
• AI/ML applications in radar hydrometeorology.

• H - Hydrology
• IN - Informatics
• NH - Natural Hazards