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Marie-Hélène Rio

Researcher at CLS Group

Publications -  54
Citations -  3325

Marie-Hélène Rio is an academic researcher from CLS Group. The author has contributed to research in topics: Ocean surface topography & Altimeter. The author has an hindex of 23, co-authored 48 publications receiving 2947 citations.

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A mean dynamic topography computed over the world ocean from altimetry, in situ measurements, and a geoid model

TL;DR: In this paper, a mean dynamic topography (MDT) is computed by subtracting the geoid model EIGEN-2 from the Mean Sea Surface Height CLS01, determined from 7 years of altimetric data (TOPEX and ERS1,2) at spherical harmonic degree 30.
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New CNES‐CLS09 global mean dynamic topography computed from the combination of GRACE data, altimetry, and in situ measurements

TL;DR: In this article, a new global 1/4° resolution mean dynamic topography (MDT) was computed for the 1993-1999 time period with improved data and methodology compared to the previous RIO05 MDT field.
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Beyond GOCE for the ocean circulation estimate: Synergetic use of altimetry, gravimetry, and in situ data provides new insight into geostrophic and Ekman currents

TL;DR: In this paper, ocean surface currents are estimated at two levels (surface and 15'm depth) as the sum of the geostrophic and Ekman components, and a new, global 14° Mean Dynamic Topography (CNS-CLS13) has been calculated and is now available for use by the oceanographic community.
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Mean Dynamic Topography of the Ocean Derived from Satellite and Drifting Buoy Data Using Three Different Techniques

TL;DR: In this paper, three mean dynamic topography maps derived with different methodologies are presented, combining sea level observed by the high-accuracy satellite radar altimetry with the geoid model of the Gravity Recovery and Climate Experiment (GRACE), which has recently measured the earth's gravity with unprecedented spatial resolution and accuracy.
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The new ESA satellite‐only gravity field model via the direct approach

TL;DR: In this article, a satellite-only gravity field model to degree 260 using the direct approach, named DIR-R4, is presented, which is more accurate at low to medium resolution thanks to GOCE and GRACE data.