D4.T1.O1.7

CyGNSSnet: Deep Learning for the Derivation of Wind Speed from CyGNSS Measurements

Milad Asgarimehr, German Research Centre for Geosciences GFZ, Potsdam, Germany, Germany; Caroline Arnold, Tobias Weigel, Deutsches Klimarechenzentrum DKRZ, Hamburg, Germany, Germany; Chris Ruf, Climate and Space Department, University of Michigan, Ann Arbor, MI, USA, Germany; Jens Wickert, German Research Centre for Geosciences GFZ, Potsdam, Germany, Germany

Session:
Ocean Wind, Calibration and Validation

Track:
Ocean wind

Presentation Time:
Fri, 17 Sep, 20:48-20:56 China Standard Time (UTC +8)
Fri, 17 Sep, 14:48-14:56 Central Europe Summer Time (UTC +2)
Fri, 17 Sep, 12:48-12:56 (UTC)
Fri, 17 Sep, 08:48-08:56 Eastern Daylight Time (UTC -4)

Session Co-Chairs:
Milad Asgarimehr, GFZ and Mohammad Al-Khaldi, University Cooperation for Atmospheric Research
Presentation
Discussion
Resources
Session D4.T1.O1
D4.T1.O1.1: Research on Regional ERIP Characteristics of GPS Satellites Received by the CYGNSS Data
Wenhao Zhong, Yang Liu, Beihang University, China; Junming Xia, Cong Yin, National Space Science Center, China Academy of Science, China
D4.T1.O1.2: Preliminary Validation of Fengyun-3E GNOS II GNSS-R Wind Product
Feixiong Huang, Junming Xia, Cong Yin, Weihua Bai, Yueqiang Sun, National Space Science Center, Chinese Academy of Sciences, China; Lichang Duan, University of Chinese Academy of Sciences, China
D4.T1.O1.3: The Empirical Orthogonal Function Theory and Simulation Research for Spaceborne GNSS-R Sea Surface High Wind Speed Retrieval
Jianming Wu, Yanling Chen, Peng Guo, Xiaoya Wang, Shanghai Astronomical Observatory, Chinese Academy of Sciences, China; Fenghui Li, Naifeng Fu, Tianjin University, China
D4.T1.O1.4: COASTAL SWELL WAVE DETECTION USING GLOBAL NAVIGATION SATELLITE SYSTEMS REFLECTOMETRY
Erik Rennspiess, TU Berlin, Germany; Mostafa Hoseini, NTNU, Norway; Milad Asgarimehr, GFZ, Germany; Mahmoud Rajabi, NTNU, Norway; Jens Wickert, GFZ, Germany
D4.T1.O1.5: Feasibility Study of GNSS Interferometric Reflectometry (GNSS-IR) for Retrieving Significant Wave Height
Su-Kyung Kim, Jihye Park, Meagan E. Wengrove, John E. Dickey, Oregon State University, United States
D4.T1.O1.6: NOAA CYGNSS WIND PRODUCT: RECENT PROGRESS
Faozi Said, National Oceanic and Atmospheric Administration/Global Science & Technology, Inc, United States; Zorana Jelenak, National Oceanic and Atmospheric Administration/University Corporation for Atmospheric Research, United States; Paul S. Chang, National Oceanic and Atmospheric Administration, United States
D4.T1.O1.7: CyGNSSnet: Deep Learning for the Derivation of Wind Speed from CyGNSS Measurements
Milad Asgarimehr, German Research Centre for Geosciences GFZ, Potsdam, Germany, Germany; Caroline Arnold, Tobias Weigel, Deutsches Klimarechenzentrum DKRZ, Hamburg, Germany, Germany; Chris Ruf, Climate and Space Department, University of Michigan, Ann Arbor, MI, USA, Germany; Jens Wickert, German Research Centre for Geosciences GFZ, Potsdam, Germany, Germany
D4.T1.O1.8: Coastal monitoring of sea state using airborne GNSS reflectometry.
Mario Moreno, Maximilian Semmling, German Aerospace Center - DLR, Germany; Georges Stienne, Wafa Dalil, Université Littoral Côte d’Opale - ULCO, France; Mohammed Mainul Hoque, German Aerospace Center - DLR, Germany; Jens Wickert, German Research Center for Geoscience - GFZ, Germany; Serge Reboul, Université Littoral Côte d’Opale - ULCO, France