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2020 – today
- 2024
[j8]Sounak Kumar Biswas
, Robert Cifelli, V. Chandrasekar:
Quantitative Precipitation Estimation Using X-Band Radar for Orographic Rainfall in the San Francisco Bay Area. IEEE Trans. Geosci. Remote. Sens. 62: 1-15 (2024)- [c7]William Brooks, V. Chandrasekar, Robert Cifelli:
Model-Based Systems Engineering Digital Twin: Capabilities-Based Requirements Analysis of the Advanced Quantitative Precipitation Information System. SysCon 2024: 1-8 - 2023
- [j7]Liangwei Wang, Haonan Chen, Robert Cifelli, Zhe Li:
Improving Surface Rainfall Mapping in Complex Terrain Regions Through Lowering the Minimum Scan Elevation Angle of Operational Weather Radar. IEEE Geosci. Remote. Sens. Lett. 20: 1-5 (2023) - [j6]Yifan Yang, Haonan Chen, Kyle A. Hilburn, Robert J. Kuligowski, Robert Cifelli:
Deep Learning for Precipitation Retrievals Using ABI and GLM Measurements on the GOES-R Series. IEEE Trans. Geosci. Remote. Sens. 61: 1-14 (2023) - 2022
- [j5]Shun Yao, Haonan Chen, Elizabeth J. Thompson, Robert Cifelli:
An Improved Deep Learning Model for High-Impact Weather Nowcasting. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 15: 7400-7413 (2022) - [j4]Haonan Chen, Luyao Sun, Robert Cifelli, Pingping Xie:
Deep Learning for Bias Correction of Satellite Retrievals of Orographic Precipitation. IEEE Trans. Geosci. Remote. Sens. 60: 1-11 (2022) - 2021
- [c6]William Brooks, V. Chandrasekar, Greg Pratt, Robert Cifelli:
A Model Based Systems Engineering Approach for Behavioral Responses to Advanced Quantitative Precipitation Information. SysCon 2021: 1-6 - 2020
- [j3]Haonan Chen, V. Chandrasekar, Robert Cifelli, Pingping Xie:
A Machine Learning System for Precipitation Estimation Using Satellite and Ground Radar Network Observations. IEEE Trans. Geosci. Remote. Sens. 58(2): 982-994 (2020) - [j2]Haonan Chen, Robert Cifelli, Allen White:
Improving Operational Radar Rainfall Estimates Using Profiler Observations Over Complex Terrain in Northern California. IEEE Trans. Geosci. Remote. Sens. 58(3): 1821-1832 (2020) - [c5]Sounak Kumar Biswas, Robert Cifelli, V. Chandrasekar:
Improving Quantitative Precipitation Estimation by X-Band Dual-Polarization Radars in Complex Terrain Over the Bay Area in California, USA. IGARSS 2020: 5411-5414 - [c4]Haonan Chen, Robert Cifelli, V. Chandrasekar:
Resolving the Precipitation Microphysical Variability Induced by Orographic Enhancement in Complex Terrain Over the San Francisco Bay Area. IGARSS 2020: 5415-5418
2010 – 2019
- 2018
- [j1]Yuxiang He, Yu Zhang, Robert J. Kuligowski, Robert Cifelli, David Kitzmiller:
Incorporating Satellite Precipitation Estimates into a Radar-Gauge Multi-Sensor Precipitation Estimation Algorithm. Remote. Sens. 10(1): 106 (2018) - 2017
- [c3]Robert Cifelli, Haonan Chen, V. Chandrasekar:
Comparison of precipitation forecasts from NOAA's high resolution rapid refresh (HRRR) model with polarimetric radar observations in the San Francisco Bay Area. IGARSS 2017: 5606-5608 - 2016
- [c2]Delbert Willie, Haonan Chen, V. Chandrasekar, Robert Cifelli:
Regional polarimetric quantitative precipitation estimation over South Carolina. IGARSS 2016: 2158-2161 - 2013
- [c1]Delbert Willie, Haonan Chen, V. Chandrasekar, Robert Cifelli, Carroll Campbell, David Reynolds:
Evaluation of multisensor quantitative precipitation estimation methodologies. IGARSS 2013: 2219-2221
Coauthor Index
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