H075
Advances in Remote Sensing of Precipitation: From Observation to Application III eLightning

Wednesday, 9 December 2020: 17:30-18:30
Virtual
Primary Convener:  Phu Nguyen, University of California Irvine, Irvine, CA, United States
Conveners:  Matin Rahnamay Naeini, University of California Irvine, Irvine, CA, United States, Guoqiang Tang, University of Saskatchewan, Saskatoon, SK, Canada and Shang Gao, University of Oklahoma, Oklahoma, United States
Primary Liaison:  Matin Rahnamay Naeini, University of California Irvine, Irvine, CA, United States
Chairs:  Phu Nguyen, UC Irvine, Civil & Environmental Engineering, Irvine, CA, United States, Matin Rahnamay Naeini, University of California Irvine, Irvine, CA, United States and Shang Gao, University of Oklahoma, Oklahoma, United States
OSPA Liaison:  Shang Gao, University of Oklahoma, Oklahoma, United States
17:30
H075-01
A Flood Inundation Prediction for Hurricane Harvey Using a Hyperresolution Hydrologic & Hydraulic Model Driven by the Remote Sensing Observations and Precipitation Forecasting Products (736950)
Mengye Chen, University of Oklahoma Norman Campus, School of Civil Engineering and Environmental Science (CEES), Norman, OK, United States, Zhi Li, University of Oklahoma Norman Campus, Norman, OK, United States and Yang Hong, School of Civil Engineering and Environmental Sciences, University of Oklahoma, Norman, OK, United States
17:33
H075-02
Characteristics of snowfall size distribution during ICE-POP 2018 and applications for radar snowfall estimation (686433)
Tiantian Yu1,2, V. Chandrasekar3, Hui Xiao4,5 and Shashank S Joshil3, (1)Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, China, (2)University of Chinese Academy of Sciences, Beijing, China, Beijing, China, (3)Colorado State University, Electrical and Computer Engineering, Fort Collins, CO, United States, (4)Key Laboratory of Cloud Precipitation Physics and Severe Storms (LACS), & Center of Disaster Reduction, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, China, (5)University of Chinese Academy of Sciences, Beijing, China
17:36
H075-03
Examination of Global Mid-Latitude Atmospheric River Lifecycle Precipitation Using an Object-oriented Methodology (749766)
Eric Jay Shearer1, Phu Nguyen1, Scott L Sellars2, Brian Kawsenuk2, Bita Analui1, Kuo-lin Hsu1 and Soroosh Sorooshian1, (1)University of California Irvine, Irvine, CA, United States, (2)University of California San Diego, San Diego, CA, United States
17:39
H075-04
Exploration on the Applicability of Different Rainfall Products for Hydrological Simulations (725991)
Jiao WANG1, Zhuo Lu2, Ying Liu3, Chien-Nien Chen1, Yiheng Chen1, Miguel Angel Rico-Ramirez1 and Dawei Han1, (1)University of Bristol, Civil Engineering, Bristol, United Kingdom, (2)University of Sheffield, Civil and Structural Engineering, Sheffield, United Kingdom, (3)University of Bristol, Civil Engineering, Bristol, BS8, United Kingdom
17:42
H075-05
Exploring the Potential of Satellite Precipitation Products in Hydrological Application: a Case Study over a Semi-arid Watershed in Northeastern China (736237)
Lu Zhang, Dalian University of Technology, Department of Construction Engineering, Dalian, China and Zhuohang Xin, Dalian University of Technology, Dalian, China
17:45
H075-06
Improved Qpe by Utilizing Multi Angle Ppis Measurements (719724)
Daejin Yeom, Kyungpook National University, Department of Astronomy and atmospheric sciences, Daegu, South Korea, Soohyun Kwon, KMA Korea Meteorlogical Administration, Weather Radar Center, Seoul, South Korea and Gyuwon Lee, Kyungpook National University, Department of Astronomy and Atmospheric Sciences, Daegu, South Korea
17:48
H075-07
The importance of adequate correction for the wet antenna effect when predicting urban rainfall-runoff using microwave link data (745452)
Jaroslav Pastorek1, Martin Fencl1, Joerg Rieckermann2 and Vojtěch Bareš1, (1)Czech Technical University in Prague, Department of Hydraulics and Hydrology, Prague, Czech Republic, (2)EAWAG: Swiss Federal Institute of Aquatic Science and Technology, Department of Urban Water Management, Duebendorf, Switzerland
17:51
H075-08
PrecipGAN: Merging Microwave and Infrared Data for Satellite Precipitation Estimation using Generative Adversarial Network (667370)
Cunguang Wang, Tsinghua University, Department of Hydraulic Engineering, Beijing, China, Guoqiang Tang, University of Saskatchewan, Saskatoon, SK, Canada and Pierre Gentine, Columbia University, Earth and Environmental Engineering, New York, NY, United States
17:54
H075-09
Snowfall Retrieval from Satellite-based Microwave Humidity Sounders using Machine Learning Methods (699940)
Abishek Adhikari, Mohammad Reza Ehsani and Ali Behrangi, University of Arizona, Department of Hydrology and Atmospheric Sciences, Tucson, AZ, United States
17:57
Discussion
See more of: Hydrology
<< Previous Session Proposal | Next Session Proposal >>