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Data from the Colorado State University (CSU) CHILL radar located near Greeley, Colorado during the Pre-CIP_2021 (Preparatory Rockies Experiment for the Campaign In the Pacific 2021) campaign in July and August 2021. CHILL is a dual wavelength S- and X-band, dual-polarization radar that conducted RHI and surveillance scans. 

Data from the Colorado State University (CSU) CHIVO radar located near Fort Collins, Colorado during the Pre-CIP_2021 (Preparatory Rockies Experiment for the Campaign In the Pacific 2021) campaign from May-August 2021. CHIVO is a C-band, dual-polarization radar that conducted RHI and surveillance scans. 

Data from the Colorado State University (CSU) Sea-Going Polarimetric (SEA-POL) radar that was deployed on Yonaguni (a Japanese island to the east of Taiwan) for the PRECIP (Prediction of Rainfall Extremes Campaign in the Pacific) campaign from June to August 2022. SEA-POL is a deployable C-band dual-polarization radar that conducted RHI and surveillance scans on 12-minute cycles. 

Abstract Advanced Quantitative Precipitation Information (AQPI) is a synergistic project that combines observations and models to improve monitoring and forecasts of precipitation, streamflow, and coastal flooding in the San Francisco Bay Area. As an experimental system, AQPI leverages more than a decade of research, innovation, and implementation of a statewide, state-of-the-art network of observations, and development of the next generation of weather and coastal forecast models. AQPI was developed as a prototype in response to requests from the water management community for improved information on precipitation, riverine, and coastal conditions to inform their decision-making processes. Observation of precipitation in the complex Bay Area landscape of California’s coastal mountain ranges is known to be a challenging problem. But, with new advanced radar network techniques, AQPI is helping fill an important observational gap for this highly populated and vulnerable metropolitan area. The prototype AQPI system consists of improved weather radar data for precipitation estimation; additional surface measurements of precipitation, streamflow, and soil moisture; and a suite of integrated forecast modeling systems to improve situational awareness about current and future water conditions from sky to sea. Together these tools will help improve emergency preparedness and public response to prevent loss of life and destruction of property during extreme storms accompanied by heavy precipitation and high coastal water levels—especially high-moisture laden atmospheric rivers. The Bay Area AQPI system could potentially be replicated in other urban regions in California, the United States, and worldwide.