TY - JOUR
T1 - Mapping the mean sea surface elevation field from satellite altimetry data using optimal interpolation
AU - Imawaki, Shiro
AU - Ichikawa, Kaoru
AU - Nishigaki, Hajime
N1 - Funding Information:
We thank Carl Wunsch at MIT and Richard Coleman at the University of Sydney for discussions of the altimetry data analysis. The gravimetric geoid data presented by Ganeko (1983) were made available by the Japan Océanographie Data Center. The climatological mean geopotential anomalies for the study area also were provided by that center; Tomotaka Ito made the calculations. Most of the study was completed when S.I. was at the Department of Geophysics, Kyoto University, Japan. Data processing was done on a FACOM VP-400 computer at the Data Processing Center of Kyoto University. This research was supported in part by a Grant-in-Aid for Scientific Research from the Ministry of Education, Science and Culture of Japan.
PY - 1992
Y1 - 1992
N2 - Optimal interpolation technique is applied to satellite altimetry data in order to recover a sea surface elevation signal from the data, which includes a large satellite radial orbit error, also to make a map of temporal mean sea surface dynamic topography (SSDT, the mean surface height relative to the geoid). The method is applied to Seasat data for a study area southeast of Japan, for which a fairly precise gravimetric geoid is available. Estimated mean elevation field relative to the best available geoid qualitatively shows existence of the Kuroshio in a limited local area close to Honshu, Japan. But for the whole of the area studied, the elevation field is much more rugged than expected mean SSDT and appears to include a relatively large geoid error; namely, the mapped mean sea surface elevation field cannot describe the mean SSDT field. Instead, correction of the provided geoid is evaluated by this altimetrically estimated elevation field together with the mean SSDT estimated from hydrographic data.
AB - Optimal interpolation technique is applied to satellite altimetry data in order to recover a sea surface elevation signal from the data, which includes a large satellite radial orbit error, also to make a map of temporal mean sea surface dynamic topography (SSDT, the mean surface height relative to the geoid). The method is applied to Seasat data for a study area southeast of Japan, for which a fairly precise gravimetric geoid is available. Estimated mean elevation field relative to the best available geoid qualitatively shows existence of the Kuroshio in a limited local area close to Honshu, Japan. But for the whole of the area studied, the elevation field is much more rugged than expected mean SSDT and appears to include a relatively large geoid error; namely, the mapped mean sea surface elevation field cannot describe the mean SSDT field. Instead, correction of the provided geoid is evaluated by this altimetrically estimated elevation field together with the mean SSDT estimated from hydrographic data.
UR - http://www.scopus.com/inward/record.url?scp=0026394397&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=0026394397&partnerID=8YFLogxK
U2 - 10.1080/01490419209388039
DO - 10.1080/01490419209388039
M3 - Article
AN - SCOPUS:0026394397
SN - 0149-0419
VL - 15
SP - 31
EP - 46
JO - Marine Geodesy
JF - Marine Geodesy
IS - 1
ER -