Premium
Assimilation of coastal acoustic tomography data into a barotropic ocean model
Author(s) -
Park JaeHun,
Kaneko Arata
Publication year - 2000
Publication title -
geophysical research letters
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.007
H-Index - 273
eISSN - 1944-8007
pISSN - 0094-8276
DOI - 10.1029/2000gl011600
Subject(s) - barotropic fluid , data assimilation , tomography , meteorology , geology , ensemble kalman filter , climatology , oceanography , kalman filter , extended kalman filter , mathematics , physics , statistics , optics
A data assimilation technique was applied to analyze the first coastal acoustic tomography data, obtained in the Neko‐Seto Channel of the Seto Inland Sea, Japan on March 2–3, 1999. The ensemble Kaiman filter technique accompanied by the forecast of error covariances by means of the Monte Carlo method is found to be best fitted to the present problem because currents in the tomography region are dominated by the strongly nonlinear tidal vortices. Furthermore, the analyzed results are in better agreement with the shipboard ADCP results than those obtained by the inverse analysis of the travel time difference data for the pairs of acoustic stations.