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An Updated and Quality Controlled Surface Mass Balance Dataset for Antarctica : Volume 6, Issue 5 (03/09/2012)

By Favier, V.

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Book Id: WPLBN0004022727
Format Type: PDF Article :
File Size: Pages 36
Reproduction Date: 2015

Title: An Updated and Quality Controlled Surface Mass Balance Dataset for Antarctica : Volume 6, Issue 5 (03/09/2012)  
Author: Favier, V.
Volume: Vol. 6, Issue 5
Language: English
Subject: Science, Cryosphere, Discussions
Collections: Periodicals: Journal and Magazine Collection, Copernicus GmbH
Publication Date:
Publisher: Copernicus Gmbh, Göttingen, Germany
Member Page: Copernicus Publications


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Agosta, C., Parouty, S., Krinner, G., Durand, G., Favier, V., Drouet, A.,...Trouvilliez, A. (2012). An Updated and Quality Controlled Surface Mass Balance Dataset for Antarctica : Volume 6, Issue 5 (03/09/2012). Retrieved from

Description: UJF-CNRS, Laboratoire de Glaciologie et Géophysique de l'Environnement (LGGE), UMR 5183, 54 rue Molière, BP 96, 38402 Saint Martin d' Hères, France. We present an updated and quality controlled surface mass balance (SMB) database for the Antarctic ice sheet. We retrieved a total of 5284 SMB data documented with important meta-data, to which a filter was applied to discard data with limited spatial and temporal representativeness, too small measurement accuracy, or lack of quality control. A total of 3438 reliable data was obtained, which is about four times more than by applying the same data filtering process to previously available databases. New important data with high spatial resolution are now available over long traverses, and at low elevation in some areas. However, the quality control led to a considerable reduction in the spatial density of data in several regions, particularly over West Antarctica. Over interior plateaus, where the SMB is low, the spatial density of measurements remained high. This quality controlled dataset was compared to results from ERA-Interim reanalysis to assess model representativeness over Antarctica, and also to identify large areas where data gaps impede model validation. Except for very few areas (e.g. Adelie Land), the elevation range between 200 m and 1000 m a.s.l. is not correctly sampled in the field, and measurements do not allow a thorough validation of models in regions with complex topography, where the highest scattering of SMB values is reported. Clearly, increasing the spatial density of field measurements at low elevations, in the Antarctic Peninsula and in West Antarctica remains a scientific priority.

An updated and quality controlled surface mass balance dataset for Antarctica

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