1990
DOI: 10.1029/jc095ic05p07167
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A Comparison Between the Generalized Digital Environmental Model and Levitus climatologies

Abstract: Two ocean climatologies of temperature and salinity, the Generalized Digital Environmental Model (GDEM) and the Climatological Atlas of the World Ocean, are compared. Dynamic height fields are computed by season from each climatology for the North Atlantic, North Pacific, and Indian oceans and are compared on a 1 ø latitude-longitude grid. Large-scale oceanographic features are generally found to be similarly represented in both climatologies. GDEM appears to render better representations of seasonal variabili… Show more

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Cited by 306 publications
(194 citation statements)
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“…Bathymetry was from multibeam depth soundings where available, and from the 30 arc-second database 32 elsewhere. Stratification was horizontally uniform in the far-field and near-field models, obtained from the generalized digital environmental model database (GDEM) climatology for the month 17 of August 33 for the far-field model and from August 2010 field data for the near-field model. Stratification in the Kuroshio models was from larger-scale data-assimilating regional simulations.…”
Section: Numerical Modelsmentioning
confidence: 99%
“…Bathymetry was from multibeam depth soundings where available, and from the 30 arc-second database 32 elsewhere. Stratification was horizontally uniform in the far-field and near-field models, obtained from the generalized digital environmental model database (GDEM) climatology for the month 17 of August 33 for the far-field model and from August 2010 field data for the near-field model. Stratification in the Kuroshio models was from larger-scale data-assimilating regional simulations.…”
Section: Numerical Modelsmentioning
confidence: 99%
“…The CLS SSH anomaly dataset has a 7-day temporal resolution and a 1/3°ϫ 1/3°spatial resolution. Using the climatological surface dynamic height data of Teague et al (1990) as the mean SSH, the absolute SSH field (which will be referred to as the SSH field for brevity) is simply the sum of the mean and anomalous SSH data.…”
Section: Kess'04 Surveysmentioning
confidence: 99%
“…(4) denotes the Doppler-shift by the mean current U (positive eastward); the effect varies with wavelength of anomalies and vanishes in the long wave limit. Attempts are made to explain discrepancies of phase speed between observed anomalies and theoretical long Rossby waves quantitatively, using the climatological mean of surface geostrophic current U relative to the 1000 dbar (Teague et al, 1990). The zonal wavenumber k is estimated from the wavelength which was derived by the lag correlation diagram of SSDT anomalies in the previous section (Fig.…”
Section: Discussionmentioning
confidence: 99%