A31A:
Advances in Radar Remote Sensing of Clouds and Precipitation: Microphysical Retrievals, Estimation, and Hydrometeorological Applications II Posters

Submit an Abstract to this Session



Session ID#: 31471

Session Description:
Radar remote sensing of clouds and precipitation is an active and vibrant field with numerous accomplishments 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 and atmospheric science. This session focuses on the science that converts state-of-the-art radar observations into geophysical quantities that can be used as inputs to many applications including hydrologic, weather, and cloud resolving models. This session will also feature papers devoted to extreme natural hazards, ranging from severe weather processes, all the way to high-resolution precipitation detection and flood applications of remote sensing (i.e., radar and satellite) and in situ observations.
Primary Convener:  Haonan Chen, Colorado State University and NOAA Physical Sciences Laboratory, Boulder, United States; NOAA Earth System Research Laboratory, Boulder, CO, United States
Conveners:  Youcun Qi, NOAA Norman, Norman, OK, United States and Robert Cifelli, NOAA Physical Sciences Laboratory, Boulder, CO, United States
Chairs:  Haonan Chen, NOAA Earth System Research Laboratory, Boulder, CO, United States, V. Chandrasekar, Colorado State University, Department of Electrical and Computer Engineering, Fort Collins, United States and Christopher R Williams, University of Colorado Boulder, Smead Aerospace Engineering Science, Boulder, United States
OSPA Liaison:  Youcun Qi, NOAA Norman, Norman, OK, United States
Co-Organized with:
Atmospheric Sciences, and Hydrology

Cross-Listed:
  • H - Hydrology
Index Terms:

1853 Precipitation-radar [HYDROLOGY]
3310 Clouds and cloud feedbacks [ATMOSPHERIC PROCESSES]
3354 Precipitation [ATMOSPHERIC PROCESSES]
3360 Remote sensing [ATMOSPHERIC PROCESSES]

Abstracts Submitted to this Session:

StatisticAl Characteristics of Cloud over Beijing, China Obtained FRom Ka band Doppler Radar Observation (275819)
Jinli LIU, Yongheng Bi, Shu Duan and Daren Lu, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, China
In Situ Verification of the NASA D3R's Hydrometeor Classification and Rainfall Products during the OLYMPEx Field Campaign (236398)
Haonan Chen, Colorado State University and NOAA Physical Sciences Laboratory, Boulder, United States; NOAA Earth System Research Laboratory, Boulder, CO, United States and V. Chandrasekar, Colorado State University, Department of Electrical and Computer Engineering, Fort Collins, United States
First Evaluation of Rainfall Derived from Commercial Microwave Links in São Paulo, Brazil (284714)
Manuel Felipe Rios Gaona, IIHR—Hydroscience and Engineering, Iowa City, IA, United States, Aart Overeem, Royal Netherlands Meteorological Institute, De Bilt, 3730, Netherlands, Hidde Leijnse, Royal Netherlands Meteorological Institute, R&D Observations and Data Technology, De Bilt, Netherlands, Tim Raupach, EPFL Swiss Federal Institute of Technology Lausanne, Lausanne, Switzerland and Remko Uijlenhoet, Wageningen University and Research, Environmental Sciences, Wageningen, Netherlands
Three-Dimensional Raindrop Size Distribution Retrieval on Radar Rainfall Adjustments (223423)
Yang Song, University of Bristol, Bristol, BS8, United Kingdom, D Han, University of Bristol, Civil Engineering, Bristol, United Kingdom and Miguel Angel Rico-Ramirez, University of Bristol, School of Civil, Aerospace and Design Engineering, Bristol, United Kingdom
Particle type identification for C-band dual-polarization radar in Darwin, Australia (236942)
Guang Wen, Institute of Atmospheric Physics, Beijing, China and Alain Protat, Bureau of Meteorology, Melbourne, Australia
Applications of Polarimetric Radar to the Hydrometeorology of Urban Floods in St. Louis (225734)
Molly Margaret Margaret Chaney, Princeton University, Civil and Environmental Engineering, Princeton, NJ, United States, James A Smith, Princeton Univ, Civil and Environmental Engineering, Princeton, NJ, United States and Mary Lynn Baeck, Princeton Univ, Princeton, NJ, United States
Radar-derived Quantitative Precipitation Estimation in Complex Terrain over the Eastern Tibetan Plateau (264641)
Yabin Gou, Hangzhou Meteorological Bureau, Hangzhou, China
Radar-derived quantitative precipitation estimation based-on precipitation classification (275105)
Yi Yang, Lanzhou University, Lanzhou, China
Enhance the accuracy of radar snowfall estimation with Multi new Z-S relationships in MRMS system (276871)
Youcun Qi, University of Oklahoma Norman Campus, Norman, OK, United States
The Multiscale Temporal Variability of Precipitation in the Source Region of the Yellow River (289451)
Rongrong Zhang1, Huimin Wang1, Longcang Shu1, Qin Ju1, Peng Jiang2 and Zhongbo Yu1, (1)Hohai University, Nanjing, China, (2)Desert Research Institute, Las Vegas, NV, United States
Disdrometer-based C-Band Radar Quantitative Precipitation Estimation (QPE) in a highly complex terrain region in tropical Colombia. (276555)
Julián Sepúlveda, Universidad Nacional de Colombia, Medellin, Medellin, Colombia and Carlos David Hoyos Ortiz, Universidad Nacional de Colombia, Sede Medellín, Departamento de Geociencias y Medio Ambiente / Geoscience and Environment Department, Medellín, Colombia
Inter-comparison of Precipitation Estimation Derived from GPM Dual-frequency Radar and CSU-CHILL Radar (263402)
Sheng Chen, Sun Yat-Sen University, Guangzhou, China, Haonan Chen, Colorado State University and NOAA Physical Sciences Laboratory, Boulder, United States, Junjun Hu, National Severe Storms Lab, Desert Research Inst,, Reno, NV, United States, Asi Zhang, Sun Yat-Sen University, School of Atmospheric Sciences, Guangzhou, China and Chao Min, Sun Yat-Sen University, School of Atmospheric Science, Guangzhou, China

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