Robert Cifelli

According to our database, Robert Cifelli authored at least 15 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Quantitative Precipitation Estimation Using X-Band Radar for Orographic Rainfall in the San Francisco Bay Area.

Sounak Kumar Biswas, Robert Cifelli, V. Chandrasekar

IEEE Trans. Geosci. Remote. Sens., 2024

Model-Based Systems Engineering Digital Twin: Capabilities-Based Requirements Analysis of the Advanced Quantitative Precipitation Information System.

William Brooks, V. Chandrasekar, Robert Cifelli

Proceedings of the IEEE International Systems Conference, 2024

2023

Deep Learning for Precipitation Retrievals Using ABI and GLM Measurements on the GOES-R Series.

Yifan Yang, Haonan Chen, Kyle A. Hilburn, Robert J. Kuligowski, Robert Cifelli

IEEE Trans. Geosci. Remote. Sens., 2023

Improving Surface Rainfall Mapping in Complex Terrain Regions Through Lowering the Minimum Scan Elevation Angle of Operational Weather Radar.

Liangwei Wang, Haonan Chen, Robert Cifelli, Zhe Li

IEEE Geosci. Remote. Sens. Lett., 2023

2022

Deep Learning for Bias Correction of Satellite Retrievals of Orographic Precipitation.

Haonan Chen, Luyao Sun, Robert Cifelli, Pingping Xie

IEEE Trans. Geosci. Remote. Sens., 2022

An Improved Deep Learning Model for High-Impact Weather Nowcasting.

Shun Yao, Haonan Chen, Elizabeth J. Thompson, Robert Cifelli

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2022

2021

A Model Based Systems Engineering Approach for Behavioral Responses to Advanced Quantitative Precipitation Information.

William Brooks, V. Chandrasekar, Greg Pratt, Robert Cifelli

Proceedings of the IEEE International Systems Conference, 2021

2020

Improving Operational Radar Rainfall Estimates Using Profiler Observations Over Complex Terrain in Northern California.

Haonan Chen, Robert Cifelli, Allen White

IEEE Trans. Geosci. Remote. Sens., 2020

A Machine Learning System for Precipitation Estimation Using Satellite and Ground Radar Network Observations.

Haonan Chen, V. Chandrasekar, Robert Cifelli, Pingping Xie

IEEE Trans. Geosci. Remote. Sens., 2020

Resolving the Precipitation Microphysical Variability Induced by Orographic Enhancement in Complex Terrain Over the San Francisco Bay Area.

Haonan Chen, Robert Cifelli, V. Chandrasekar

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020

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

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020

2018

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

2017

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, V. Chandrasekar

Proceedings of the 2017 IEEE International Geoscience and Remote Sensing Symposium, 2017

2016

Regional polarimetric quantitative precipitation estimation over South Carolina.

Delbert Willie, Haonan Chen, V. Chandrasekar, Robert Cifelli

Proceedings of the 2016 IEEE International Geoscience and Remote Sensing Symposium, 2016

2013

Evaluation of multisensor quantitative precipitation estimation methodologies.

Delbert Willie, Haonan Chen, V. Chandrasekar, Robert Cifelli, Carroll Campbell, David Reynolds

Proceedings of the 2013 IEEE International Geoscience and Remote Sensing Symposium, 2013