Evaluation of the Antarctic surface wind climate from ERA reanalyses and RACMO2/ANT simulations based on automatic weather stations

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Access status: Embargo until 2050-01-01 , art%3A10.1007%2Fs00382-012-1396-y.pdf (2.38 MB)

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2012

Authors

Sanz Rodrigo, J.
Buchlin, J.M.
van Beeck, J.
Lenaerts, JanISNI 0000000419442044
van den Broeke, Michiel R.ORCID 0000-0003-4662-7565ISNI 0000000389564445

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Abstract

A continental scale evaluation of Antarctic surface winds is presented from global ERA-40 and ERAInterim reanalyses and RACMO2/ANT regional climate model at 55 and 27 km horizontal resolution, based on a comparison with observational data from 115 automatic weather stations (AWS). The Antarctic surface wind climate can be classified based on the Weibull shape factor kw. Very high values (kw[3) are found in the interior plateaus, typical of very uniform katabatic-dominated winds with high directional constancy. In the coast and all over the Antarctic Peninsula the shape factors are similar to the ones found in mid-latitudes (kw\3) typical of synoptically dominated wind climates. The Weibull shape parameter is systematically overpredicted by ERA reanalyses. This is partly corrected by RACMO2/ANT simulations which introduce more wind speed variability in complex terrain areas. A significant improvement is observed in the performance of ERA-Interim over ERA-40, with an overall decrease of 14 % in normalized mean absolute error. In escarpment and coastal areas, where the terrain gets rugged and katabatic winds are further intensified in confluence zones, ERA-Interim bias can be as high as 10 m s-1. These large deviations are partly corrected by the regional climate model. Given that RACMO2/ANT is an independent simulation of the near-surface wind speed climate, as it is not driven by observations, it compares very well to the ERA-Interim and AWS-115 datasets.

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SDG 13 - Climate Action

Citation

Sanz Rodrigo, J, Buchlin, J M, van Beeck, J, Lenaerts, J T M & van den Broeke, M R 2012, 'Evaluation of the Antarctic surface wind climate from ERA reanalyses and RACMO2/ANT simulations based on automatic weather stations', Climate Dynamics, vol. 38, no. 11-12. https://doi.org/10.1007/s00382-012-1396-y