A002
Advances in Radar Remote Sensing of Clouds and Precipitation: Observations, Data Processing, Weather and Water Model Applications

Session ID#: 157775

Session Description:
Radar remote sensing of clouds and precipitation is an area of active and vibrant research with numerous advancements resulting in practical 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 data sciences in hydrometeorology remote sensing, orographic and extreme winter precipitation. Topics include but are not limited to:

  • Scanning and vertically pointing radars from S- to W-band
  • Identification of hydrometeor phases and microphysical features in
    radar measurements
  • Network or field campaign observations monitoring clouds and/or
    precipitation
  • Orographic and winter precipitation
  • Multi-sensor-based products for weather, water, and/or cloud model applications
  • AI/Machine learning applications in radar hydrometeorology
Co-Sponsor(s):
  • AMS: American Meteorological Society -
  • EGU: European Geosciences Union -
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, Electrical and Computer Engineering, Fort Collins, CO, United States
 
How Much Attenuation through a Rain Shaft Extinguishes the Signal from Vertically Pointing Cloud Radars? (1070079)
Christopher R Williams, University of Colorado Boulder, Smead Department of Aerospace Engineering Sciences, Boulder, United States
 
A guide to deep learning for radar-based high-impact weather nowcasting (1078457)
Haonan Chen, Colorado State University, Fort Collins, CO, United States, Shun Yao, Colorado State University, Fort Collins, United States and V. Chandrasekar, Colorado State University, Electrical and Computer Engineering, Fort Collins, CO, United States
 
Pixelwise Modeling with Two-Dimensional Convolutional Long Short-Term Memory Networks for Nowcasting Heavy Rainfall (1080508)
Yi (Victor) Wang1, Seung Hee Kim2, Gyuwon Lee3 and Menas Kafatos2, (1)Chapman University, Institute for Earth, Computing, Human and Observing (ECHO), Orange, United States, (2)Chapman University, Institute for Earth, Computing, Human and Observing (ECHO), Orange, CA, United States, (3)Kyungpook National University, Department of Atmospheric Sciences and Center for Atmospheric Remote Sensing, Daegu, South Korea
 
Evaluation of Precipitation Estimates from Remote Sensing and Artificial Neural Network based Products in an Arid Region (1094782)
Faisal Baig1, Mohsen Sherif2, Muhammad Abrar Faiz1 and Ahmed Sefelnasr3, (1)United Arab Emirates University, Al Ain, United Arab Emirates, (2)Civil and Environmental Engineering Dept., United Arab Emirates University, Al Ain, United Arab Emirates, (3)United Arab Emirates University, National Water and Energy Center, Al Ain, United Arab Emirates
 
Development of a 3D Precipitation Nowcasting Method Using U-Net with Phased Array Radar Data (1101434)
Kohei Kawashima1, Daichi Kitahara1, Dong-Kyun Kim1, Tomoaki Mega1, Yuuki Wada1, Tomoo Ushio1, Philippe Baron2, Eiichi Yoshikawa3, Syugo Hayashi4 and Hiroshi Kikuchi5, (1)Graduate School of Engineering, Osaka University, Division of Electrical, Electronic and Infocommunications Engineering, Osaka, Japan, (2)NICT, Tokyo, Japan, (3)Japan Aerospace Exploration Agency, Aeronautical Technology Directorate, Tokyo, Japan, (4)Meteorological Research Institute, Ibaraki, Japan, (5)University of Electro-Communications, Tokyo, Japan
 
A Riming-dependent Parameterization of Microwave Scattering by Snowflakes using the Self-similar Rayleigh-Gans Approximation (1108374)
Nina Maherndl1, Maximilian Maahn2, Frederic Tridon3, Jussi S. Leinonen4, Davide Ori5 and Stefan Kneifel5, (1)University of Leipzig, Institute for Meteorology, Leipzig, Germany, (2)University of Leipzig, Leipzig Institute for Meteorology, Leipzig, Germany, (3)Laboratoire de Météorologie Physique Observatoire de Physique du Globe de Clermont-Ferrand, Aubiere Cedex, France, (4)MeteoSwiss Federal Office of Meteorology and Climatology, Locarno-Monti, Switzerland, (5)University of Cologne, Institute for Geophysics and Meteorology, Cologne, Germany
 
Climatology of the vertical profiles of polarimetric radar variables and retrieved microphysical parameters in continental / tropical MCSs and landfalling hurricanes (1110599)
Alexander Ryzhkov and Jiaxi Hu, Cooperative Institute for Mesoscale Meteorological Studies, University of Oklahoma, Norman, OK, United States
 
On the Detection of Cloud Seeding Effects with Radar in Winter Orographic Cloud Systems (1119574)
Troy Zaremba1, Robert Rauber2, Jesse Loveridge2, Larry Di Girolamo2 and Greg M McFarquhar3, (1)University of Illinois at Urbana Champaign, Atmospheric Sciences, Urbana, IL, United States, (2)University of Illinois at Urbana-Champaign, Department of Atmospheric Sciences, Urbana, United States, (3)Cooperative Institute for Severe and High-Impact Weather Research and Operations, University of Oklahoma, Norman, OK, United States
 
Multi-year Analysis of Rain-Snow Levels at Marquette, Michigan (1122925)
Julia Shates, University of Wisconsin Madison, Madison, WI, United States, Claire Pettersen, University of Wisconsin Madison, Space Science and Engineering Center, Madison, United States, Tristan L'Ecuyer, University of Wisconsin, Department of Atmospheric and Oceanic Sciences, Madison, United States and Mark Kulie, National Oceanic and Atmospheric Administration, Cooperative Research Program, Advanced Satellite Products Branch, Madison, WI, United States
 
The New Canadian Weather Radar Network and the Impacts of Radio Frequency Interferences on Radar Data Quality (1127970)
Qian Li1, Alvin AuDuong1, Hamid Nasr2, Lubna Bitar3 and Sorin Pinzariu1, (1)Canadian Weather Radar Replacement Program, Environment and Climate Change Canada, Environment and Climate Change Canada, Toronto, ON, Canada, (2)Canadian Weather Radar Replacement Program, Environment and Climate Change Canada, Environment and Climate Change Canada, Toronto, Canada, (3)Canadian Weather Radar Replacement Program, Environment and Climate Change Canada, Toronto, Canada
 
The Horus All-Digital Phased Array Weather Radar – System Overview and First Results (1147962)
Robert Dean Palmer1, David Schvartzman2, David Joseph Bodine3, Boon Leng Cheong4, Caleb Fulton2, Pierre-Emmanuel Kirstetter5, Jorge Salazar-Cerreno6, Hjalti Sigmarsson2, Mark B Yeary7 and Tian-You Yu6, (1)University of Oklahoma, Advanced Radar Research Center, Norman, United States, (2)University of Oklahoma Norman Campus, Norman, United States, (3)University of Oklahoma, Advanced Radar Research Center, Norman, OK, United States, (4)University of Oklahoma Norman Campus, Norman, OK, United States, (5)University of Oklahoma, School of Meteorology and School of Civil Engineering and Environmental Science, Norman, OK, United States, (6)University of Oklahoma, Norman, OK, United States, (7)University of Oklahoma Norman Campus, Advanced Radar Research Center, Norman, United States
 
Understanding the Vertical Slope of Mesoscale Snow Band Reflectivity Signatures (1152420)
Charles N Helms, NASA Goddard Space Flight Center, Mesoscale Atmospheric Processes Lab, Greenbelt, United States; University of Maryland College Park, Earth System Science Interdisciplinary Center, College Park, United States, Gerald M Heymsfield, NASA Goddard Space Flight Center, Mesoscale Atmospheric Processes, Greenbelt, MD, United States and Stephen D Nicholls, SSAI, Greenbelt, United States
 
CHAIN AGGREGATE PARTICLES IN UPPER-TROPOSPHERIC CLOUDS (1160865)
Christian Nairy1, David J Delene1 and Andrew G Detwiler2, (1)University of North Dakota, Atmospheric Sciences, Grand Forks, ND, United States, (2)University of North Dakota, Atmospheric Sciences, Grand Forks, United States
 
Characteristics of Microscale Updrafts in Winter Storms Accompanying Snow Bands Along the U.S. Northeast Coast Using High-Resolution Cloud Radar Observations (1163357)
Brian Colle1, Mariko Oue1, Sandra E Yuter2, Phillip Yeh3 and Laura Tomkins4, (1)Stony Brook University, Stony Brook, NY, United States, (2)North Carolina State Univ, Raleigh, NC, United States, (3)Stony Brook University, Stony Brook, United States, (4)North Carolina State University Raleigh, Raleigh, NC, United States
 
Identifying and examining the characteristics of warm rain from NEXRAD radar (1171536)
Robert Conrick, University of Washington Seattle, Seattle, United States
 
Microwave Radiometer and Weather Radar Liquid Water Observations (1175781)
Randolph Ware1, Richard Stone2, Brian Williams3, Aaron D Kennedy4, Bhupal Shrestha5, Junhong Wang6, Jerald Brotzge7, Allen Huang8, Andre Lalumiere9, Matthew Mahaffey10, Ryan Matt10 and Tim Wilfong10, (1)Radiometrics, Boulder, CO, UNITED STATES, (2)RHS Consulting, Minden, United States, (3)Williams RF Works, Issaquah, United States, (4)University of North Dakota, Grand Forks, ND, United States, (5)University at Albany State University of New York, Atmospheric Sciences Research Center, Albany, NY, United States, (6)SUNY at Albany, Albany, NY, United States, (7)New York State Mesonet, Albany, United States, (8)University of Wisconsin Madison, Madison, WI, United States, (9)Advanced Radar Company, Boulder, United States, (10)Radiometrics, Boulder, United States
 
An Alignment-based Methodology to cross-compare Indian Ground Radar Observations with Space Radar (1179341)
Alok Sharma and Srinivasa Ramanujam Ramanujam Kannan, IIT Bhubaneswar, Mechanical Sciences, Bhubaneswar, India
 
Physics-Guided AI Framework to Predict and Correct Radar QPE Errors (1179407)
Mochi Liao, Duke University, Durham, NC, United States and Ana Paula Barros, University of Illinois Urbana Champaign, Civil and Environmental Engineering, Urbana, United States
 
Precipitation Microphysics in Tropical Cyclones: A Global Perspective (1180040)
Noah Brauer, University of Oklahoma Norman Campus, Advanced Radar Research Center, School of Meteorology, Norman, OK, United States, Pierre-Emmanuel Kirstetter, University of Oklahoma, School of Meteorology and School of Civil Engineering and Environmental Science, Norman, OK, United States, Jeffrey B Basara, University of Oklahoma, School of Meteorology; School of Civil Engineering and Environmental Science, Norman, United States, Svetla M Hristova-Veleva, Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, United States and Simone Tanelli, Jet Propulsion Laboratory, Pasadena, CA, United States
 
Toward Building A Virtual Laboratory to Investigate Rainfall Microphysics at Process Scales (1186491)
Lihui Ji, University of Illinois at Urbana Champaign, Civil & Environmental Engineering, Urbana, IL, United States and Ana Paula Barros, University of Illinois Urbana Champaign, Civil and Environmental Engineering, Urbana, United States
 
Comparison of the Precipitation Structure and Microphysical Properties within Two Alberta Clipper Systems During the 2022 IMPACTS Deployment (1187254)
Joseph Finlon, University of Washington, Atmospheric Sciences, Seattle, WA, United States and Lynn A. McMurdie, University of Washington, Seattle, WA, United States
 
Radar and Microphysical Characteristics of Snowbands in Northeastern U.S. Snowstorms: Results from the 2020 and 2022 Deployment of IMPACTS (Invited) (1189946)
Lynn A. McMurdie, University of Washington, Seattle, WA, United States, Gerald M Heymsfield, NASA Goddard Space Flight Center, Mesoscale Atmospheric Processes, Greenbelt, MD, United States and John E Yorks, NASA Goddard Space Flight Center, Greenbelt, United States
 
Multimodal Ice Crystal Size Distributions in Atlantic Coast Snowstorms: Results from IMPACTS 2020 (1192957)
Peter Brechner1, Greg M McFarquhar2, David J Delene3, Christian Nairy3, Kenneth Lee Thornhill II4, Joseph Finlon5, Darin W Toohey6, Andrew Heymsfield7, Aaron Bansemer8, Robert Rauber9, Emma Järvinen10 and Martin Schnaiter11, (1)Cooperative Institute for Severe and High-Impact Weather Research and Operations, University of Oklahoma, Norman, United States, (2)Cooperative Institute for Severe and High-Impact Weather Research and Operations, University of Oklahoma, Norman, OK, United States, (3)University of North Dakota, Atmospheric Sciences, Grand Forks, ND, United States, (4)NASA Langley Research Center, Hampton, United States, (5)University of Illinois at Urbana Champaign, Urbana, IL, United States, (6)Univ Colorado, Boulder, CO, United States, (7)National Center for Atmospheric Research, Boulder, CO, United States, (8)NCAR, Boulder, CO, United States, (9)University of Illinois at Urbana-Champaign, Department of Atmospheric Sciences, Urbana, United States, (10)Karlsruhe Institute of Technology, Karlsruhe, Germany, (11)Karlsruhe Institute of Technology, Institute of Meteorology and Climate Research, Atmospheric Aerosol Research (IMK-AAF), Karlsruhe, Germany
 
An Investigation of Turbulence and Microphysical Variations Within Winter Storms as Identified by Enhanced Spectrum Width Layers from a Ka-Band Radar (1197078)
Erin Leghart1, Brian Colle2, Mariko Oue2, Edward P Luke3 and Pavlos Kollias4, (1)Stony Brook University, Division of Atmospheric Sciences, Stony Brook, NY, United States, (2)Stony Brook University, Stony Brook, NY, United States, (3)Brookhaven National Laboratory, Upton, United States, (4)McGill University, Montreal, QC, Canada
 
Turbulent Eddy Variations from the Coast to the Olympic Mountains and the Impact on an Atmospheric River Precipitation Event. (1197803)
Na Zhou, Stony Brook University, Stony Brook, United States, Brian Colle, Stony Brook University, Stony Brook, NY, United States and Aaron Robert Naeger, University of Alabama in Huntsville, Huntsville, AL, United States
 
Demonstrating the Use of Beam Broadening-Corrected Doppler Spectra Measured Using an Airborne Cloud Radar During the CSET (Cloud System Evolution in the Trades) Field Campaign (1200749)
Michael Schwartz, Utah State University, Logan, UT, United States and Virendra P Ghate, Argonne National Laboratory, Lemont, IL, United States
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