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
Session:
FRP2.PK: Advances in Monitoring Precipitation, Clouds, and Aerosols Using Remote Sensing and AI Technologies for Weather Analysis and Extreme Events II Poster
Track:
Community-Contributed Sessions
Location:
Poster Area
Presentation Time:
Friday, 8 August, 14:30 - 15:45
Session Co-Chairs:
Congzheng Han, Institute of Atmospheric Physics, Chinese Academy of Sciences and Jiamou Liu, School of Computer Science, University of Auckland
Presentation
Discussion
Resources
No resources available.
Session FRP2.PK
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
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
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
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
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
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
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
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
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
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
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
Resources
No resources available.