17 - 22 July, 2022 • Physical: Kuala Lumpur Convention Centre (KLCC), Kuala Lumpur, Malaysia • Hybrid: Online Platform

Preserving Our Heritage, Enabling Our Future Through Remote Sensing

17 - 22 July, 2022 • Physical: Kuala Lumpur Convention Centre (KLCC), Kuala Lumpur, Malaysia • Hybrid: Online Platform

TH6.V16.9

EFFICIENT RAINFALL PREDICTION USING A DIMENSIONALITY REDUCTION METHOD

Muhammad Salman Pathan, The ADAPT SFI Research Centre, Ireland; Avishek Nag, Soumyabrata Dev, University College Dublin, Ireland
Session:
Observations and Prediction of Clouds and Precipitation Multimedia Virtual
Track:
Atmosphere Applications
Location:
Virtual Room 16
Presentation Time:
Thu, 21 Jul, 21:35 - 22:45 Malaysia Time (UTC +8)
Thu, 21 Jul, 15:35 - 16:45 Central European Time (UTC +1)
Thu, 21 Jul, 13:35 - 14:45 UTC
Thu, 21 Jul, 09:35 - 10:45 Eastern Time (UTC -5)
Session Chair:
Ping Yang, Texas A&M University
Session Manager:
Woan Shiang Lee
Presentation
Discussion
Resources
No resources available.
Session TH6.V16
TH6.V16.1: AN IMPROVED METHOD FOR REMOVAL OF THIN CLOUDS IN REMOTE SENSING IMAGES BY GENERATIVE ADVERSARIAL NETWORK
Chengyao Zhang, Xuqing Zhang, Qunfei Yu, Chenhao Ma, Jilin University, China
TH6.V16.2: A Frequency-Matching Method for Bias Correction of Deep Learning Nowcasts
Ming Zhang, Yanhui Yin, Lei Han, Ocean University of China, China; Haonan Chen, Colorado State University, United States
TH6.V16.3: Application of Segmental-Correction Machine Learning Methods in Radar Quantitative Precipitation Estimation Correction by Rain Gauge
Yu Wang, Lei Han, Yurong Ge, Ocean University of China, China; Lejian Zhang, Yubao Chen, China Meteorological Administration, China; Yizhuo Sha, Beijing Xiangyuan Academy of Meteorological observing technology, China
TH6.V16.4: CLASSIFICATION OF THREE DIMENSIONAL PROPERTIES OF CLOUD AND PRECIPITATION USING MULTI-FREQUENCY (W/KU/KA) SPACE BORNE RADARS
Rohit Mangla, Météo-France, Toulouse, France; J. Indu, Indian Institiute of Technology Bombay, India; Abishek Adhikari, The University of Arizona, United States
TH6.V16.5: ACCURATE CLOUD DETECTION USING FEATURE REFINING ATTENTION NETWORK AND S-NPP CRIS FSR DATA
Mengfan Zhang, Miao Tian, University of Electronic Science and Technology of China, China; Zhengkun Qin, Nanjing University of Information Science and Technology, China
TH6.V16.6: LONG-TERM GLOBAL ANALYSIS OF CLOUD PROPERTIES USING POLAR ORBIT SATELLITES (AQUA AND CLOUDSAT)
Yu Matsumoto, Minrui Wang, Takashi Nakajima, Tokai University, Japan
TH6.V16.7: INTEGRATED PHYSICS-BASED NOWCASTING MODEL FOR PRECIPITATION RADAR IMAGE SEQUENCE
Hidetomo Sakaino, Nutnaree Kleawsirikul, Patamawadee Leepaisomboon, Natnapat Gaviphatt, Weathernews Inc., Japan
TH6.V16.8: HY-1C COCTS CLOUD DETECTION USING U-NET
Fanli Liu, Mingkun Liu, Lei Guan, Ocean University of China, China; Zhicheng Sheng, Shandong University, China
TH6.V16.9: EFFICIENT RAINFALL PREDICTION USING A DIMENSIONALITY REDUCTION METHOD
Muhammad Salman Pathan, The ADAPT SFI Research Centre, Ireland; Avishek Nag, Soumyabrata Dev, University College Dublin, Ireland
TH6.V16.10: CONDITIONAL GENERATION OF CLOUD FIELDS
Naser Mahfouz, Princeton University, United States; Yi Ming, NOAA Geophysical Fluid Dynamics Laboratory, United States; Kaleb Smith, NVIDIA Corporation, United States