Evaluation of multisensor quantitative precipitation estimation methodologies. - Delbert Willie; Haonan Chen 001; V. Chandrasekar 001; Robert Cifelli; Carroll Campbell; David Reynolds (IGARSS, 2013)

Regional polarimetric quantitative precipitation estimation over South Carolina. - Delbert Willie; Haonan Chen 001; V. Chandrasekar 001; Robert Cifelli (IGARSS, 2016)

Comparison of precipitation forecasts from NOAA's high resolution rapid refresh (HRRR) model with polarimetric radar observations in the San Francisco Bay Area. - Robert Cifelli; Haonan Chen 001; V. Chandrasekar 001 (IGARSS, 2017)

Incorporating Satellite Precipitation Estimates into a Radar-Gauge Multi-Sensor Precipitation Estimation Algorithm. - Yuxiang He; Yu Zhang; Robert J. Kuligowski; Robert Cifelli; David Kitzmiller (Remote. Sens., 2018)

Improving Quantitative Precipitation Estimation by X-Band Dual-Polarization Radars in Complex Terrain Over the Bay Area in California, USA. - Sounak Kumar Biswas; Robert Cifelli; V. Chandrasekar 001 (IGARSS, 2020)

Resolving the Precipitation Microphysical Variability Induced by Orographic Enhancement in Complex Terrain Over the San Francisco Bay Area. - Haonan Chen 001; Robert Cifelli; V. Chandrasekar 001 (IGARSS, 2020)

A Machine Learning System for Precipitation Estimation Using Satellite and Ground Radar Network Observations. - Haonan Chen 001; V. Chandrasekar 001; Robert Cifelli; Pingping Xie (IEEE Trans. Geosci. Remote. Sens., 2020)

Improving Operational Radar Rainfall Estimates Using Profiler Observations Over Complex Terrain in Northern California. - Haonan Chen 001; Robert Cifelli; Allen White (IEEE Trans. Geosci. Remote. Sens., 2020)

A Model Based Systems Engineering Approach for Behavioral Responses to Advanced Quantitative Precipitation Information. - William Brooks; V. Chandrasekar 001; Greg Pratt; Robert Cifelli (SysCon, 2021)

An Improved Deep Learning Model for High-Impact Weather Nowcasting. - Shun Yao; Haonan Chen 001; Elizabeth J. Thompson; Robert Cifelli (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2022)

Deep Learning for Bias Correction of Satellite Retrievals of Orographic Precipitation. - Haonan Chen 001; Luyao Sun; Robert Cifelli; Pingping Xie (IEEE Trans. Geosci. Remote. Sens., 2022)

Improving Surface Rainfall Mapping in Complex Terrain Regions Through Lowering the Minimum Scan Elevation Angle of Operational Weather Radar. - Liangwei Wang; Haonan Chen 001; Robert Cifelli; Zhe Li 014 (IEEE Geosci. Remote. Sens. Lett., 2023)

Deep Learning for Precipitation Retrievals Using ABI and GLM Measurements on the GOES-R Series. - Yifan Yang; Haonan Chen 001; Kyle A. Hilburn; Robert J. Kuligowski; Robert Cifelli (IEEE Trans. Geosci. Remote. Sens., 2023)

Model-Based Systems Engineering Digital Twin: Capabilities-Based Requirements Analysis of the Advanced Quantitative Precipitation Information System. - William Brooks; V. Chandrasekar 001; Robert Cifelli (SysCon, 2024)

Quantitative Precipitation Estimation Using X-Band Radar for Orographic Rainfall in the San Francisco Bay Area. - Sounak Kumar Biswas; Robert Cifelli; V. Chandrasekar 001 (IEEE Trans. Geosci. Remote. Sens., 2024)

UAS Traffic Management: Integrating Weather Information using System Adaptability. - William Brooks; V. Chandrasekar 001; Robert Cifelli (SysCon, 2025)