FRP2.PK: Advances in Monitoring Precipitation, Clouds, and Aerosols Using Remote Sensing and AI Technologies for Weather Analysis and Extreme Events II
Friday, 8 August, 14:30 - 15:45
Location: Poster Area
Session Type: Poster
Session Co-Chairs: Congzheng Han, Institute of Atmospheric Physics, Chinese Academy of Sciences and Jiamou Liu, School of Computer Science, University of Auckland
Track: Community-Contributed Sessions
Poster Area

FRP2.PK.1: An Improved U-Net Model for Precipitation Nowcast Based on Weather Radar Data
Zhan Zhang, Qingping Song, Juan Huo, Congzheng Han, Wenying He, Institute of Atmospheric Physics，Chinese Academy of Sciences, China
Poster Area

FRP2.PK.2: Attenuation modelling and observation of Ka and W dual-wavelength radar
Juan Huo, Xin Wang, Congzheng Han, Institute of Atmospheric Physics, Chinese Academy of Sciences, China
Poster Area

FRP2.PK.3: THE TRENDS IN AEROSOL OPTICAL DEPTH OVER EASTERN ASIA USING MODIS MEASUREMENTS FROM 2001 TO 2022
Xuehua Fan, Institute of Atmospheric Physics, Chinese Academy of Sciences,, China; Xiaoqiong Zhen, Chengdu University of Information Technology, China; Wenying He, Congzheng Han, Institute of Atmospheric Physics, Chinese Academy of Sciences,, China
Poster Area

FRP2.PK.4: Comparison of cloud top height measured by ground observations and FY-4A Satellite at Xianghe Observatory, China
Wenying He, Rongshi Zou, Weidong Nan, Congzheng Han, Xuehua Fan, Institute of Atmospheric Physics, Chinese Academy of Sciences, China
Poster Area

FRP2.PK.5: EVALUATION THE PERFORMANCE OF THE ARTS AND SDSU MODELS UNDER CLOUD AND PRECIPITATION CONDITIONS
rongshi zou, wenying he, congcheng han, Institute of Atmospheric Physics, Chinese Academy of Sciences, China
Poster Area

FRP2.PK.6: Representation Learning for Continuous Spatio-Temporal Meteorological Data Reconstruction
Sijie Wang, Song Yang, Jiamou Liu, University of Auckland, New Zealand; Congzheng Han, Chinese Academy of Sciences, China
Poster Area

FRP2.PK.7: Enhancing Water Vapor Estimation Accuracy Using Multi-Satellite Data and Machine Learning Techniques
Rounaq Goenka, Prajakta Karingula, Alok Taori, G Srinivasa Rao, National Remote Sensing Centre, India
Poster Area

FRP2.PK.8: A DEEP LEARNING FRAMEWORK FOR PREDICTION OF RAPID INTENSIFICATION OF TROPICAL CYCLONE
Moumita Das, Shivajirao Kadam Institute of Technology and Management, India
Poster Area

FRP2.PK.9: A NN approach for precipitation retrieval using TROPICS data
Ilaria Petracca, Fabio Del Frate, Tor Vergata University of Rome, Italy; William J. Blackwell, Vincent Leslie, MIT Lincoln Laboratory, United States; Kerri Cahoy, Massachusetts Institute of Technology, United States
Poster Area

FRP2.PK.10: ANALYZING PRECIPITATION VARIATION OVER SRI LANKA USING SATELLITE AND REANALYSIS DATASETS FOR 40 YEARS (1981-2020)
Xin Wang, Institute of Atmospheric Physics, Chinese Academy of Sciences, China; Yong Han, Dan Ye, Sun Yat-sen University, China; Wen Wang, Institute of Atmospheric Physics, Chinese Academy of Sciences, China
Poster Area

FRP2.PK.11: PRODUCTION OF LONG TIME SERIES XCO2 LAND DATASET FOR OCO-2 SATELLITE OBSERVATIONS BASED ON SPATIOTEMPORAL INTERPOLATION MAPPING METHOD
Xuemei Zong, Institute of Atmospheric Physics, Chinese Academy Sciences, China; Xin Wang, Institute of Atmospheric Physics, Chinese Academy of Sciences, China; Zhihua Zhang, Institute of Atmospheric Physics, Chinese Academy Sciences, China