FRP2.PM.6
Radar based Deep Learning Techniques for Classification of Non-meteorological Echoes
EunYeol Kim, Colorado State University, United States; Sanghun Lim, Korea Institute of Civil Engineering and Building Technology, Korea (South); V. Chandrasekar, Colorado State University, United States
Session:
FRP2.PM: Precipitation and Clouds IV Poster
Track:
Atmosphere Applications
Location:
Poster Area
Presentation Time:
Friday, 8 August, 14:30 - 15:45
Session Chair:
David Schvartzman, The University of Oklahoma
Presentation
Discussion
Resources
No resources available.
Session FRP2.PM
FRP2.PM.1: Mapping high resolution surface downward shortwave radiation from polar-orbiting and geostationary satellite data
Dongdong Wang, Peking University, China
FRP2.PM.2: DDUNET: DUAL DYNAMIC U-NET FOR HIGHLY-EFFICIENT CLOUD SEGMENTATION
Yijie Li, Northwestern University, United States; Hewei Wang, Carnegie Mellon University, United States; Jinfeng Xu, The University of Hong Kong, China; Puzhen Wu, University College Dublin, Ireland; Yunzhong Xiao, Carnegie Mellon University, United States; Shaofan Wang, Beijing University of Technology, China; Soumyabrata Dev, University College Dublin, Ireland
FRP2.PM.3: Feature Extraction and Precipitation Estimation of Cumulonimbus Cloud (Cb) Using FY-4B Satellite
Yu Liu, Chinese Academy of Sciences, China; Du-Gang Xi, 31009 PLA Troops, China; Jian-Hua Wang, Chinese Academy of Sciences, China
FRP2.PM.4: TINY-UCLOUDNET: MEMORY EFFICIENT GROUND-BASED CLOUD SEGMENTATION NETWORK
Ifran Rahman Nijhum, University College Dublin, Ireland, Ireland; Md Shihab Reza, Design Inclusion & Access Lab, Bangladesh; Soumyabrata Dev, University College Dublin, Ireland, Ireland
FRP2.PM.5: THIN CLOUD REMOVAL BASED ON DEEP LEARNING FOR LANDSAT-8
Yumo Liu, Zezhong Zheng, University of Electronic Science and Technology of China, China
FRP2.PM.6: Radar based Deep Learning Techniques for Classification of Non-meteorological Echoes
EunYeol Kim, Colorado State University, United States; Sanghun Lim, Korea Institute of Civil Engineering and Building Technology, Korea (South); V. Chandrasekar, Colorado State University, United States
FRP2.PM.7: A fast cirrus cloud microphysical and optical property retrieval for space-based hyperspectral reflected solar instruments – Progress and preliminary results
Jeffrey Mast, Oak Ridge Associated Universities, United States; Yolanda Shea, Xu Liu, NASA Langley Research Center, United States
FRP2.PM.8: Joint Retrieval of Cloud properties using Attention-based Deep Learning Models
Zahid Hassan Tushar, Adeleke Ademakinwa, Jianwu Wang, Zhibo Zhang, Sanjay Purushotham, University of Maryland, Baltimore County, United States
FRP2.PM.9: REMOTE SENSING OF CLOUDS AND PRECIPITATION USING THE DYNAMIC MICROWAVE RADIOMETER ON THE NASA INCUS MISSION BASED ON THE HERITAGE OF TEMPEST SCIENTIFIC RESULTS
Steven Reising, V. Chandrasekar, Chandrasekar Radhakrishnan, Colorado State University, United States; Shannon T. Brown, Jet Propulsion Laboratory, United States; Susan van den Heever, Colorado State University, United States
FRP2.PM.10: A STUDY OF THE RELATIONSHIP BETWEEN SEVERE CONVECTIVE CLOUDS AND SEVERE CONVECTIVE WEATHER USING HIMWARIK8/9 GEOSTATIONARY SATELLITE
Yi Xu, Kaimin Sun, Fangyi Lv, Shunxia Miao, Wuhan University, China
FRP2.PM.11: EVALUATION OF DOPPLER WEATHER RADAR DERIVED VVP WIND PROFILES
Vaibhav Tyagi, Saurabh Das, Indian Institute of Technology Indore, India
FRP2.PM.12: THE IMPACTS OF MICROPHYSICAL VARIATIONS ON RADAR MEASUREMENTS AND QUANTITATIVE PRECIPITATION ESTIMATION
Yabin Gou, Juan Zhou, Haoran Xu, Fang Wang, Jin Li, Hangzhou Meteorological Observatory, China; Haonan Chen, Colorado University, United States
Resources
No resources available.