TH1.R19.2
A MULTI-SOURCE REMOTE SENSING APPROACH FOR EXTREME WEATHER PREDICTION BASED ON ATMOSPHERE-SURFACE DATA FUSION
Jingyang Li, Jieying He, National Space Science Center, Chinese Academy of Sciences, China
Session:
TH1.R19: Data Assimilation and Numerical Modeling Oral
Track:
Atmosphere Applications
Location:
TBD
Presentation Time:
Thu, 13 Aug, 08:45 - 09:00
Presentation
Discussion
Resources
No resources available.
Session TH1.R19
TH1.R19.1: A New Frontier in Tropical Weather Prediction: Real-Time Global 3.75-km Forecasts using the Model for Prediction Across Scales (MPAS)
Falko Judt, NSF National Center for Atmospheric Research, United States
TH1.R19.2: A MULTI-SOURCE REMOTE SENSING APPROACH FOR EXTREME WEATHER PREDICTION BASED ON ATMOSPHERE-SURFACE DATA FUSION
Jingyang Li, Jieying He, National Space Science Center, Chinese Academy of Sciences, China
TH1.R19.3: LAND SURFACE TEMPERATURE SIMULATION FROM LOCAL CLIMATE ZONES & METEOROLOGICAL PARAMETERS USING A MULTIMODAL CONDITIONAL GENERATIVE ADVERSARIAL NETWORK: RASTER2RASTER
Omar Yasser, Izni Zahidi, Lim Mei Kuan, Chow Ming Fai, Monash University Malaysia, Malaysia
Contacts