Application of Satellite Radar Altimeter Data to the Determination of Regional Tidal Constituents and the Mean Sea Surface

Diamante, J. M.; Nee, Tsun-Shi

doi:10.1007/978-1-4613-3315-9_106

Cited by 6 publications

(1 citation statement)

References 2 publications

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“…In Douglas and Gaborski (1979), and expressed confidence in locating eddies larger than 50 cm in magnitude at scales of 30-100 km with the GEOS-3 data. Marsh et al (1980) computed the mean sea surface in a variety of locales using GEOS-3 outputs, while Diamante and Nee (1981) determined tidal constituents from GEOS-3 derived sea surfaces. Cheney and Marsh (1981b) mapped mesoscale variability measured by GEOS-3, and others used the data to improve geoid models (e.g., Rapp [19791, Lerch et al [1979]).…”

Section: Altimeter Errorsmentioning

confidence: 99%

Evaluation of GEOSAT data and application to variability of the Northeast Pacific Ocean

Campbell¹

1988

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Section: Altimeter Errorsmentioning

confidence: 99%

Evaluation of GEOSAT data and application to variability of the Northeast Pacific Ocean

Campbell¹

1988

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Dynamic transfer of simulated altimeter data into subsurface information by a numerical ocean model

Hurlburt¹

1986

J. Geophys. Res.

101

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A global, eddy‐resolving capability to predict the ocean circulation is technologically feasible within the next decade. For this purpose, the satellite altimeter is the most promising operational source of oceanic data with global coverage, but only at the surface. A comparable source of subsurface data is not on the horizon. This investigation demonstrates the ability of a numerical ocean model to dynamically transfer simulated altimeter data into subsurface information. This was done for a variety of dynamical regimes with (1) barotropic, baroclinic, mixed, and episodic instabilities, (2) flat bottoms or large‐amplitude topography, (3) relatively vigorous or gentle exchange of energy between the layers, and (4) major time scales that are short (∼60 days), long (∼1 year), or both. In all cases the pattern of the deep pressure field is much different from the one for the current‐related variations in the sea surface elevation, and sometimes not obviously related to it. The model was able to reconstruct the deep pressure field even in situations with energetic shallow and deep circulations, baroclinic instability, and a vigorous vertical exchange of energy. However, in such experiments the frequency of updating for the free surface elevation was critical. In this study the maximum update interval that allowed successful dynamic surface to subsurface transfer was about half the shortest major time scale (SMTS, e.g., 50–60 days in the experiments with baroclinic instability). Without knowledge of the deep pressure field, numerical predictions of the surface pressure field and the depth of the pycnocline typically were better than climatology for 1/4 to 1/2 the SMTS, but with successful dynamic surface to subsurface transfer, forecasts without updating were better than climatology for the SMTS or more. The time scale for predictive skill can be substantially longer than the maximum update interval permitted because the update interval must be short enough to allow decreasing error in the deep pressure field from one free surface update to the next until the error asymptotes at some acceptable level, approximately 30–50% in these results. Forecasts of nondispersive isolated eddies with beta Rossby number O(1) demonstrated predictive skill for 3 months or more even when the subsurface initial state was unknown. A serendipitous result of the study is some progress in understanding the generation of cyclonic eddies associated with the Loop Current in the eastern Gulf of Mexico (section 5.5).

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Advances in satellite oceanography

Brown

Cheney²

1983

Reviews of Geophysics

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Progress has been made in the past four years by U.S. scientists in the development and application of active and passive satellite remote sensing techniques to the study of oceanic processes. This report summarizes technical advances and recent applications. Major advances have been made in developing and applying quantitative measurements from active and passive satellite based sensor systems launched in the late 1970's and that proven methodologies now exist to observe sea surface temperature, ocean elevation, ocean color, surface wind stress and waves, and to locate free drifting buoy data collection platforms. Many of the advances in technique and application have occurred using sensors which were experimental, i.e., not part of an operational satellite observing system. Consequently future geophysical application and development of advanced techniques to enhance our understanding of the ocean will probably be limited in the next five years by data availability rather than our knowledge of how to apply given satellite observations.

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Application of Satellite Radar Altimeter Data to the Determination of Regional Tidal Constituents and the Mean Sea Surface

Cited by 6 publications

References 2 publications

Evaluation of GEOSAT data and application to variability of the Northeast Pacific Ocean

Evaluation of GEOSAT data and application to variability of the Northeast Pacific Ocean

Dynamic transfer of simulated altimeter data into subsurface information by a numerical ocean model

Advances in satellite oceanography

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