An Improved Mapping Method of Multisatellite Altimeter Data

Traon, Pierre‐Yves Le; Nadal, F.; Ducet, N.

doi:10.1175/1520-0426(1998)015<0522:aimmom>2.0.co;2

Cited by 793 publications

(497 citation statements)

References 19 publications

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“…Along track sea-level data are corrected for long wavelength errors (Traon et al 1998;Le Traon et al 2003) and an estimate of the inverse barometer (IB) effect is subtracted as well as wind and tidal effects in addition to other atmospheric corrections (taken together these are called dynamic atmospheric corrections; Carrère and Lyard 2003). The dynamic atmospheric Starting with different satellite along-track data, the different SLA signals are interpolated with objective analyses (Ducet et al 2000), thereby producing a field on a regular grid with a horizontal resolution of 1/8 • (∼ 13 km), every seven days.…”

Section: Satellite Datamentioning

confidence: 99%

Sea-level variability in the Mediterranean Sea from altimetry and tide gauges

et al. 2016

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mean sea-level and the coastal stations. From 1993 to 2012, the mean sea-level trend (2.44 ± 0.5 mm year −1 ) was found to be affected by the positive anomalies of 2010 and 2011, which were observed in all the cases analysed and were mainly distributed in the eastern part of the basin. Ensemble empirical mode decomposition showed that these events were related to the processes that have dominant periodicities of ∼10 years, and positive residual sea-level trend were generally observed in both data-sets. In terms of mean sea-level trends, a significant positive sea-level trend (>95 %) in the Mediterranean Sea was found on the basis of at least 15 years of data.

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Section: Satellite Datamentioning

confidence: 99%

Sea-level variability in the Mediterranean Sea from altimetry and tide gauges

et al. 2016

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“…A 10 day/0.25 gridded altimeter SLA product based on the combined TOPEX Poseidon and ERS-1/ERS-2 missions from October 1992 to the end of 1999 was obtained from CLS Space Oceanography Division (Le Traon et al, 1998). A 1 resolution subset of the data is used.…”

Section: Datamentioning

confidence: 99%

Interannual variability in the tropical Indian Ocean: a two-year time-scale of Indian Ocean Dipole

Feng

Meyers

2003

Deep Sea Research Part II: Topical Studies in Oceanography

180

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The subsurface ocean dynamics of Indian Ocean Dipole (IOD) is identified using regular and extended empirical orthogonal function (EOF and EEOF) analyses of the TOPEX/Poseidon altimeter sea-level anomaly and expendable bathy-thermograph (XBT) temperature data. An IOD event is initiated by an anomalous upwelling along the SumatraJava coast at the start of the normal upwelling season in May-June. This enhances cooling of sea-surface temperature (SST) in the eastern Indian Ocean, which couples with a westward wind anomaly along the equator and drives rapid growth of IOD. The wind anomaly and associated Ekman pumping generate off-equatorial Rossby waves that travel westward, deepen the thermocline, and warm SST in the western Indian Ocean, causing the peak of an IOD event a few months after it begins. The decay of an IOD event is characterized by a slow eastward propagation of warm anomaly along the equator, with warm SST leading deepened thermocline depth. The deepened thermocline arrives at the eastern boundary and reduces the rate of cooling during the next upwelling season. This causes a positive SST anomaly in the eastern Indian Ocean in the following year of an IOD event. The evolution of the event during two upwelling seasons involves the SST, wind, and subsurface temperature. The vertical and horizontal subsurface thermal structure of IOD is described in detail. There are upward propagations of temperature anomaly from subsurface to surface layer in the XBT EEOF analysis, which implies the potential role of ocean dynamics on the SST. From correlation analyses, the subsurface evolution in the tropical Indian Ocean (indexed by the zonal equatorial wind) is strongly affected by Indian Ocean SST zonal gradient, and to a lesser extent by El Nin˜o Southern Oscillation (ENSO). The observed behavior of the tropical Indian Ocean and the role of internal ocean dynamics suggest a coupled ocean/atmosphere instability, which may be initiated by ENSO or other anomalies during the early Sumatra-Java upwelling season; however, proof of its existence will require further research, including modelling and model-validation with these observations. r

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“…The SSH anomaly fields derived from an improved spacetime objective analysis method [Le Traon et al, 1998] are available every 10 days with a 0.25 ø x 0.25 ø (longitude and latitude) resolution. The spatial correlation function has a zero crossing that depends on latitude.…”

Section: Data and Processingmentioning

confidence: 99%

Variation of sea surface height at periods of 65–220 days in the subtropical gyre of the North Pacific

Kobashi¹,

Kawamura

2001

J. Geophys. Res.

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spring and fall conditions. Although Qiu's study sheds light on one possible dynamical process for eddy production in the STCC region, there remain unknown statistical features of the SSH variations. In particular, his study focused on the eddy kinetic energy averaged over the entire STCC region with no discussion on the detailed spatial distribution of the SSH disturbances.The present paper examines statistical properties and detailed spatial distribution of the SSH disturbances in the STCC region using altimeter-derived SSH data spanning a 7 year period. The reminder of this paper is organized as follows: section 2 describes the SSH anomaly and hydrographic data used in this study. In section 3, we examine spectral properties of the SSH variations in the North Pacific using spectral analysis. Following this, we show the energy distribution of SSH variations in a particular frequency band and make a comparison with the locations of the multiple eastward flows. In section 4, features such as dominant spatial scales, propagation speeds and nonlinearity of the eddy variability are estimated by two-dimensional spectral analyses and composite analyses. We Data and Processing

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An Improved Mapping Method of Multisatellite Altimeter Data

Cited by 793 publications

References 19 publications

Sea-level variability in the Mediterranean Sea from altimetry and tide gauges

Sea-level variability in the Mediterranean Sea from altimetry and tide gauges

Interannual variability in the tropical Indian Ocean: a two-year time-scale of Indian Ocean Dipole

Variation of sea surface height at periods of 65–220 days in the subtropical gyre of the North Pacific

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