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Eric Rignot

Researcher at University of California, Irvine

Publications -  359
Citations -  38522

Eric Rignot is an academic researcher from University of California, Irvine. The author has contributed to research in topics: Ice sheet & Ice stream. The author has an hindex of 85, co-authored 336 publications receiving 33102 citations. Previous affiliations of Eric Rignot include University of California, Berkeley & Centro de Estudios Científicos.

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Bedmap2: improved ice bed, surface and thickness datasets for Antarctica

Peter T. Fretwell, +59 more
- 28 Feb 2013 - 
TL;DR: Bedmap2 as discussed by the authors is a suite of gridded products describing surface elevation, ice-thickness and the seafloor and subglacial bed elevation of the Antarctic south of 60° S. In particular, the Bedmap2 ice thickness grid is made from 25 million measurements, over two orders of magnitude more than were used in Bedmap1.
Journal ArticleDOI

Changes in the Velocity Structure of the Greenland Ice Sheet

TL;DR: Using satellite radar interferometry observations of Greenland, widespread glacier acceleration below 66° north between 1996 and 2000, which rapidly expanded to 70° north in 2005, and as more glaciers accelerate farther north, the contribution of Greenland to sea-level rise will continue to increase.
Journal ArticleDOI

A reconciled estimate of ice-sheet mass balance

TL;DR: There is good agreement between different satellite methods—especially in Greenland and West Antarctica—and that combining satellite data sets leads to greater certainty, and the mass balance of Earth’s polar ice sheets is estimated by combining the results of existing independent techniques.
Journal ArticleDOI

Acceleration of the contribution of the Greenland and Antarctic ice sheets to sea level rise

TL;DR: In this article, the authors present a consistent record of mass balance for the Greenland and Antarctic ice sheets over the past two decades, validated by the comparison of two independent techniques over the last 8 years: one differencing perimeter loss from net accumulation, and one using a dense time series of time-variable gravity.