A009
Advances in Radar Remote Sensing of Clouds and Precipitation: Observations, Data Processing, Weather and Water Model Applications
Session ID#: 251043
Session Description:
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: (1) Scanning and vertically pointing radars from S- to W-band; (2) Identification of hydrometeor phases and microphysical features in radar measurements; (3) Network or field campaign observations monitoring clouds and/or precipitation (4) Orographic and winter precipitation; (5) Multi-sensor-based products for weather, water, and/or cloud model applications; (6) AI/ML applications in radar hydrometeorology.
Co-Sponsor(s):
Index Terms:
1840 Hydrometeorology [HYDROLOGY]
1847 Modeling [HYDROLOGY]
3354 Precipitation [ATMOSPHERIC PROCESSES]
3360 Remote sensing [ATMOSPHERIC PROCESSES]
Primary Convener: Haonan Chen, Colorado State University, Fort Collins, CO, United States
Conveners: Robert Cifelli, NOAA Physical Sciences Laboratory, Boulder, CO, United States and V. Chandrasekar, Colorado State University, Dept. of Electrical and Computer Engineering, Fort Collins, United States
Student/Early Career Convener: Sounak Kumar Biswas, Colorado State University, CIRA, Fort Collins, United States
Climatological Analysis of Precipitable Water Vapor over the Himalayan Region of Nepal (2012 to 2017) Using MODIS Satellite Observations (1848648)
Nisarga Sharma1, Chhuldim Hyolmo2 and Basu Dev Ghimire2, (1)St. Xavier's College, Tribhuvan University, Physics Department, Kathmandu, Nepal, (2)St. Xavier's College, Tribhuvan University, Physics, Kathmandu, Nepal
A 5-year Evaluation of Radar Quantitative Precipitation Estimates during the Cool Season (1865254)
Mr. Brian Filipiak1,2, Brendan Raykoff1, Matthew Sinchi1, Diego Cerrai1,2 and Marina Astitha1,2, (1)University of Connecticut, School of Civil and Environmental Engineering, Storrs, United States, (2)Eversource Energy Center, University of Connecticut, Storrs, United States
Investigation of Elevated Potentially Unstable Layers and Associated Ice Microphysics predicted by a Neural Network in the Comma Head of Wintertime Extratropical Cyclones during IMPACTS (1870319)
Kaylee Lundstrom1, Stephen W Nesbitt2 and Robert Rauber2, (1)University of Illinois at Urbana-Champaign, Climate, Meteorology and Atmospheric Sciences, Champaign, United States, (2)University of Illinois at Urbana-Champaign, Climate, Meteorology and Atmospheric Sciences, Urbana, United States
Comparison of AQPI and NEXRAD Radar-Estimated Rain Rates during Two Extreme Atmospheric River Events over the Northern San Francisco Bay Area (1880979)
Jonathan Rutz1, Ricardo Vilela2, Matthew Steen2, V. Chandrasekar3 and Sounak Kumar Biswas4, (1)Center for Western Weather and Water Extremes (CW3E), Scripps Institution of Oceanography, UC San Diego, La Jolla, United States, (2)Center for Western Weather and Water Extremes, Scripps Institution of Oceanography, University of California San Diego, La Jolla, CA, United States, (3)Colorado State University, Dept. of Electrical and Computer Engineering, Fort Collins, United States, (4)Colorado State University, CIRA, Fort Collins, United States
An Automated Rain Gauge Verification System for Real-time Comparison with Radar Rainfall Estimates (1917845)
Renzo Bechini, Colorado State University, Electrical and Computer Engr., Fort Collins, United States, Puram Yudhistar, Colorado State University, ECE, Fort Collins, United States and V. V Chandrasekar, Colorado State University, Fort Collins, United States
Unraveling Vertical Air Motion and Precipitation Processes in Shallow-Type Heavy Rainfall: Insights from Multi-Sensor Observations (1933819)
Shoichi Shige1, Nozomu Toda1, Shizuka Ohhata1, Kazumasa Aonashi1, Yusuke Goto2, Taro Shinoda2 and Hiroyuki Hashiguchi3, (1)Kyoto University, Graduate School of Science, Kyoto, Japan, (2)Nagoya University, Institute for Space-Earth Environmental Research, Nagoya, Japan, (3)Kyoto University, Research Institute for Sustainable Humanosphere, Kyoto, Japan
Rainfall distribution over the Western Ghats of India: Investigating orography-dynamics interactions using radar data and WRF simulations (1940096)
Ambuj Jha, Indian Institute of Science, CAOS, Bangalore, India; Indian Institute of Tropical Meteorology, Radar and Satellite Meteorology, Pune, India, G S Bhat, Indian Institute of Science, Bangalore, India and Dr.Madhu Chandra Reddy Kalapureddy Dr, Indian Institute of Tropical Meteorology, Atmospheric Testbeds-Radar and Satellite Meteorology, Pune, India
Exploring Expanded Capabilities of the Airborne Phased Array Radar (APAR) Observing Simulation, Processing, and Research Environment (AOSPRE) (1971535)
Bradley Klotz1, Allison McComiskey1, Jothiram Vivekanandan1, Kevin Manning2 and Nicholas Barron3, (1)NSF National Center for Atmospheric Research, Earth Observing Laboratory, Boulder, United States, (2)NSF National Center for Atmospheric Research, Mesoscale and Microscale Meteorology Laboratory, Boulder, United States, (3)NSF National Center for Atmospheric Research, Boulder, United States
Rainfall Bias Correction for Coastal Texas Using Multi-Stage Quality Control, Information-Preserving Dynamic Validation, and Regression-Residual Density-Attenuated IDW (1973944)
Asim Paudel1, Dongfeng Li1, Amin Kiaghadi2, Ram Neupane3, Kim Karimi3 and Nick Fang1, (1)University of Texas at Arlington, Civil Engineering, Arlington, United States, (2)Texas Water Development Board, Coastal Science, Surface Water Division, Water Science & Conservation, Austin, United States, (3)Texas Water Development Board, Austin, United States
Application of Lidar-Radar Data Fusion and Machine Learning to Estimate Full Data Curtain Microphysical Properties of IMPACTS Wintertime Cyclones (1990337)
Stephen David Nicholls, NASA Goddard Space Flight Center, Greenbelt, MD, United States, Andrew Heymsfield, National Center for Atmospheric Research, Boulder, CO, United States, Gerald M Heymsfield, NASA Goddard Space Flight Center, Mesoscale Atmospheric Processes, Greenbelt, MD, United States, John E Yorks, SSAI/NASA GSFC, Greenbelt, United States and Aaron Bansemer, NCAR, Boulder, CO, United States
The APAR Observing Simulation, Processing, and Research Environment (AOSPRE) (1999942)
Wen-Chau Lee, Bradley Klotz, NSF National Center for Atmospheric Research, Earth Observing Laboratory, Boulder, United States and Kevin Manning, NSF National Center for Atmospheric Research, Mesoscale and Microscale Meteorology Laboratory, Boulder, United States
