2006
DOI: 10.1007/s10872-006-0041-y
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Steric sea level changes estimated from historical ocean subsurface temperature and salinity analyses

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Cited by 296 publications
(329 citation statements)
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References 23 publications
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“…1), based on the lagged auto-correlation coefficients, which is the skill of the persistence forecast. The lagged correlations with the observations (Ishii et al, 2006;Ishii and Kimoto, 2009) decrease within the first few months for all of the start months, and those originating between January and June subsequently rise again in the winter (November through March). Significant skill in the control run is obtained for greater lead times than in the observations, which is consistent with previous studies (e.g., BlanchardWrigglesworth et al, 2011b;Day et al, 2014b).…”
Section: Predictability Of Arctic Sea Ice Extentmentioning
confidence: 80%
See 1 more Smart Citation
“…1), based on the lagged auto-correlation coefficients, which is the skill of the persistence forecast. The lagged correlations with the observations (Ishii et al, 2006;Ishii and Kimoto, 2009) decrease within the first few months for all of the start months, and those originating between January and June subsequently rise again in the winter (November through March). Significant skill in the control run is obtained for greater lead times than in the observations, which is consistent with previous studies (e.g., BlanchardWrigglesworth et al, 2011b;Day et al, 2014b).…”
Section: Predictability Of Arctic Sea Ice Extentmentioning
confidence: 80%
“…The observed 6-hourly air temperature and wind vectors from the 55-year Japanese Reanalysis (JRA-55) dataset (Kobayashi et al, 2015) were linearly interpolated to the atmospheric model's grid. The observed monthly ocean temperature, salinity, and sea ice concentration (SIC) from the gridded monthly objective analysis produced by Ishii et al (2006) Ishii et al, 2005;Hirahara et al, 2014). The SIC data are based on satellite observations from the Nimbus-5 Scanning Multichannel Microwave Radiometer (SMMR), the Special Sensor Microwave Imager (SSM/I), and the Special Sensor Microwave Imager/Sounder (SSMIS; Armstrong et al, 2012).…”
Section: Experimental Designmentioning
confidence: 99%
“…Time series of monthly steric variations for the period of 1994-2006 were computed using gridded global-ocean temperature datasets from Ishii et al (39) (henceforth, ISHII) and from Ingleby and Huddleston (40) (henceforth, IH). These gridded datasets are based on objective analysis of in situ ocean temperature profiles from a variety of different observational data sources.…”
Section: Methodsmentioning
confidence: 99%
“…These gridded datasets are based on objective analysis of in situ ocean temperature profiles from a variety of different observational data sources. Details on the processing and analysis scheme can be found in Ishii et al (39) and in Ingleby and Huddleston (40). Thus, two different time series of global-ocean mass are computed as GMSL minus ISHII (M ISHII ) and GMSL minus IH (M IH ).…”
Section: Methodsmentioning
confidence: 99%
“…Thermosteric changes, however, contribute to increases in sea level in the warming western tropical Pacific and decreases in the cooling east. Halosteric sea level trends are thought to be small (e.g., Ishii et al 2006), although recent results suggest that they may be more prominent (Durack et al 2014). In any event, steric changes in sea level do not change zonal pressure gradients since they do not redistribute mass zonally, and they will not affect the EUC.…”
Section: Horizontal Temperature Advection By Ocean Currentsmentioning
confidence: 99%