TU3.P7.1
DEEP CONVECTION IMPACT ON SEA SURFACE WIND MAGNITUDE AND DIRECTION: MODEL-BASED ESTIMATION VS. IN-SITU OBSERVATIONS
Tran-Vu La, Luxembourg Institute of Science and Technology, Luxembourg; Son Van Nghiem, NASA Jet Propulsion Laboratory, United States; Christophe Messager, Meteo France, France
Session:
TU3.P7: Ocean Surface Winds and Currents I Oral
Track:
Oceans
Location:
Room P7
Presentation Time:
Tuesday, 5 August, 13:15 - 13:30
Presentation
Discussion
Resources
No resources available.
Session TU3.P7
TU3.P7.1: DEEP CONVECTION IMPACT ON SEA SURFACE WIND MAGNITUDE AND DIRECTION: MODEL-BASED ESTIMATION VS. IN-SITU OBSERVATIONS
Tran-Vu La, Luxembourg Institute of Science and Technology, Luxembourg; Son Van Nghiem, NASA Jet Propulsion Laboratory, United States; Christophe Messager, Meteo France, France
TU3.P7.2: A Novel Optimization Approach for Ocean Vector Wind Retrievals Using SAR Measurements
Yuting Zhu, Sun Yat-sen University, China; Marcos Portabella, Barcelona Expert Center, Spain; Giuseppe Grieco, Consiglio Nazionale delle Ricerche (CNR-ISMAR), Italy; Shengren Fan, Russian State Hydrometeorological University, Russia; Xiaoqing Wang, Sun Yat-sen University, China
TU3.P7.3: An Improved Geophysical Model Function for the CFOSAT Ku-band Fan-beam Scatterometer
Wenming Lin, Zhixiong Wang, Nanjing University of Information Science and Technology, China; Shuyan Lang, National Satellite Ocean Application Service, China; Xiaoheng Mou, Nanjing University of Information Science and Technology, China
TU3.P7.4: WindFormer: Self-Attention Neural Network for Wind Retrieval
Nicolae-Catalin Ristea, Andrei Anghel, National University of Science and Technology Politehnica Bucharest, Romania; Amine Benchaabane, Romain Husson, CLS, France; Antoine Grouazel, IFREMER, France; Mihai Datcu, Anamaria Radoi, National University of Science and Technology Politehnica Bucharest, Romania; Nicolas Longépé, ESRIN, Italy
Resources
No resources available.