title: Validation and Parameter Sensitivity Tests for Reconstructing Swell Field Based on an Ensemble Kalman Filter.
abstract: The swell propagation model built on geometric optics is known to work well when simulating radiated swells from a far located storm. Based on this simple approximation, satellites have acquired plenty of large samples on basin-traversing swells induced by fierce storms situated in mid-latitudes. How to routinely reconstruct swell fields with these irregularly sampled observations from space via known swell propagation principle requires more examination. In this study, we apply 3-h interval pseudo SAR observations in the ensemble Kalman filter (EnKF) to reconstruct a swell field in ocean basin, and compare it with buoy swell partitions and polynomial regression results. As validated against in situ measurements, EnKF works well in terms of spatial-temporal consistency in far-field swell propagation scenarios. Using this framework, we further address the influence of EnKF parameters, and perform a sensitivity analysis to evaluate estimations made under different sets of parameters. Such analysis is of key interest with respect to future multiple-source routinely recorded swell field data. Satellite-derived swell data can serve as a valuable complementary dataset to in situ or wave re-analysis datasets.
authors.affiliation: Qingdao Collaborative Innovation Center of Marine Science and Technology, College of Information Science and Engineering, Ocean University of China, Qingdao 266100, China. wangxuan_ouc@163.com.|Institut Telecom/Telecom Bretagne, UMR LabSTICC, Technopôle Brest-Iroise, Brest 29280, France. wangxuan_ouc@163.com.
authors.forename: Xuan
authors.initials: X
authors.lastname: Wang
authors.affiliation: Institut Telecom/Telecom Bretagne, UMR LabSTICC, Technopôle Brest-Iroise, Brest 29280, France. pierre.tandeo@telecom-bretagne.eu.
authors.forename: Pierre
authors.initials: P
authors.lastname: Tandeo
authors.affiliation: Institut Telecom/Telecom Bretagne, UMR LabSTICC, Technopôle Brest-Iroise, Brest 29280, France. ronan.fablet@telecom-bretagne.eu.
authors.forename: Ronan
authors.initials: R
authors.lastname: Fablet
authors.affiliation: Collecte Localisation Satellites, Brest 29280, France. rhusson@cls.fr.
authors.forename: Romain
authors.initials: R
authors.lastname: Husson
authors.affiliation: Qingdao Collaborative Innovation Center of Marine Science and Technology, College of Information Science and Engineering, Ocean University of China, Qingdao 266100, China. leiguan@ouc.edu.cn.
authors.forename: Lei
authors.initials: L
authors.lastname: Guan
authors.affiliation: Qingdao Collaborative Innovation Center of Marine Science and Technology, College of Information Science and Engineering, Ocean University of China, Qingdao 266100, China. gechen@ouc.edu.cn.|Laboratory for Regional Oceanography and Numerical Modeling, Qingdao National Laboratory for Marine Science and Technology, Qingdao 266100, China. gechen@ouc.edu.cn.
authors.forename: Ge
authors.initials: G
authors.lastname: Chen
keywords: EnKF; parameter sensitivity; pseudo SAR observation; swell field reconstruction