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The Benefits of the Ka-Band as Evidenced from the SARAL/AltiKa Altimetric Mission: Scientific Applications., , , , , , , , , and 14 other author(s). Remote. Sens., 10 (2): 163 (2018)A Reduced-Order Kalman Filter for Data Assimilation in Physical Oceanography., , , , , and . SIAM Rev., 49 (3): 449-465 (2007)Absolute Calibration or Validation of the Altimeters on the Sentinel-3A and the Jason-3 over Lake Issykkul (Kyrgyzstan)., , , , , , , , , and 4 other author(s). Remote. Sens., 10 (11): 1679 (2018)A DNN Framework for Learning Lagrangian Drift With Uncertainty., , , , , , and . Appl. Intell., 53 (20): 23729-23739 (October 2023)Learning multi-tracer convolutional models for the reconstruction of high-resolution SSH fields., , , , , and . IGARSS, page 406-409. IEEE, (2017)Reduction of Spatially Structured Errors in Wide-Swath Altimetric Satellite Data Using Data Assimilation., , , , , , and . Remote. Sens., 11 (11): 1336 (2019)The Benefits of the Ka-Band as Evidenced from the SARAL/AltiKa Altimetric Mission: Quality Assessment and Unique Characteristics of AltiKa Data., , , , , , , , , and 7 other author(s). Remote. Sens., 10 (1): 83 (2018)ALTIKA3: a high-resolution ocean topography mission., , , , , , , , and . IGARSS, page 1352-1354. IEEE, (2002)Improving Mesoscale Altimetric Data From a Multitracer Convolutional Processing of Standard Satellite-Derived Products., , , , and . IEEE Trans. Geosci. Remote. Sens., 56 (5): 2518-2525 (2018)A DNN Framework for Learning Lagrangian Drift With Uncertainty., , , , , , and . CoRR, (2022)