WE1.P7.2
Deep Learning Diffusion Model for Remote Sensing Sea Surface Temperature Reconstruction and Fusion in Cloudy Conditions with Transfer Learning
Yawei Wang, Xia Zhou, Guangzhou Institute of Geography, China
Session:
WE1.P7: Ocean Temperature and Salinity I Oral
Track:
Oceans
Location:
Room P7
Presentation Time:
Wednesday, 6 August, 08:15 - 08:30
Presentation
Discussion
Resources
No resources available.
Session WE1.P7
WE1.P7.1: Improving predictability of extreme SST events using downscaled synthetic satellite composites
Jinah Kim, Taekyung Kim, Korea Institute of Ocean Science and Technology, Korea (South); Jaeil Kim, Kyungpook National University, Korea (South)
WE1.P7.2: Deep Learning Diffusion Model for Remote Sensing Sea Surface Temperature Reconstruction and Fusion in Cloudy Conditions with Transfer Learning
Yawei Wang, Xia Zhou, Guangzhou Institute of Geography, China
WE1.P7.3: MULTI-SCALE ANALYSIS OF MARINE HEATWAVES AND UPPER OCEAN THERMAL STRUCTURES DURING TYPHOONS IN EAST ASIA
Thi-Kieu-Diem Nguyen, Po-Chun Hsu, National Central University, Taiwan
WE1.P7.4: A New Approach for All-Weather Sea Surface Temperature Using AMSR2
Suleiman Alsweiss, Global Science and Technology Inc., United States; Zorana Jelenak, University Corporation for Atmospheric Research (UCAR), United States; Paul Chang, NOAA/NESDIS/STAR, United States
WE1.P7.5: COMPARATIVE INSIGHTS INTO ENSO EVENT PREDICTION MODELS
Lalita Chaudhary, Ayan Sharma, Shakti Sharma, Gaurav Dashondhi, Bennett University, India
Resources
No resources available.