UK Centre for Polar Observation & Modelling, Centre of Excellence in Environmental Data Science, Lancaster Environment Centre, Lancaster University, Lancaster, LA1 4YW, UK
Interdisciplinary Centre for Water Research, Indian Institute of Science, Bengaluru, India
UK Centre for Polar Observation & Modelling, Centre of Excellence in Environmental Data Science, Lancaster Environment Centre, Lancaster University, Lancaster, LA1 4YW, UK
Jennifer Maddalena
UK Centre for Polar Observation & Modelling, Centre of Excellence in Environmental Data Science, Lancaster Environment Centre, Lancaster University, Lancaster, LA1 4YW, UK
Fanny Piras
Collecte Localisation Satellites, 31520, Ramonville, France
Jérémie Aublanc
Collecte Localisation Satellites, 31520, Ramonville, France
Jean-Alexis Daguzé
Collecte Localisation Satellites, 31520, Ramonville, France
Clara Grau
Collecte Localisation Satellites, 31520, Ramonville, France
UK Centre for Polar Observation & Modelling, Centre of Excellence in Environmental Data Science, Lancaster Environment Centre, Lancaster University, Lancaster, LA1 4YW, UK
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Total article views: 2,975 (including HTML, PDF, and XML)
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Total article views: 3,494 (including HTML, PDF, and XML)
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Total article views: 2,975 (including HTML, PDF, and XML)
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and 67 with unknown origin.
Total article views: 519 (including HTML, PDF, and XML)
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Increasing melting rates of the polar ice sheets are contributing more and more to sea level rise. Due to the remoteness and expanse of ice sheets, these changes are mainly observed using satellites. However, the accuracy of these measurements depends on the processing of these datasets. Here we use advanced algorithms to provide improved historical ice sheet elevation measurements, derived from satellite altimeters flying between 1991 and 2012, which will benefit cryospheric applications.
Increasing melting rates of the polar ice sheets are contributing more and more to sea level...