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Keywords |
Accumulation, algorithm performance, Antarctica, Antarctique, Antártico, atmospheric precipitation, Balance glaciar, Balance masa, Bilan glaciaire, Bilan masse, Ciel serein, Cielo sereno, Clear sky, Climate models, Dato observación, Diamond dust, Donnée observation, Glacier balance, ground truth, ice sheets, Inlandsis, Masa de hielo, mass balance, Modèle climat, Observation data, Performance algorithme, Polar region, polar regions, Polvo brillante, Poudrin de glace, Precipitación atmosférica, Précipitation atmosphérique, Realidad terreno, Réalité terrain, Région Polaire, Terre Victoria, Terre Wilkes, Tierra Victoria, Tierra Wilkes, Victoria Land, Wilkes Land, Zona polar, Zone polaire, |
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Abstract |
It has been suggested that meteorological and climate models underestimate snow accumulation on the Antarctic plateau, because accumulation (or surface mass balance (SMB)) is dominated by clear-sky precipitation while this process is not properly taken into account in the models. Here, we show that differences between model and field SMB data are much reduced when the in situ SMB reports used to evaluate the models are filtered through quality-control criteria and less reliable reports are subsequently left out. We thus argue that, although not necessarily unsupported, model biases and their interpretations in terms of clear-sky vs synoptic precipitation on the Antarctic plateau may have been overstated in the past. To avoid such misleading issues, it is important that in situ SMB reports of insufficient or unassessed reliability are discarded, even at the cost of a strong reduction in spatial sampling and coverage.
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