2011
DOI: 10.5194/tcd-5-2665-2011
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Near-surface climate and surface energy budget of Larsen C ice shelf, Antarctic Peninsula

Abstract: Data collected by two automatic weather stations (AWS) on the Larsen C ice shelf, Antarctica, between 22 January 2009 and 1 February 2011 are analyzed and used as input for a model that computes the surface energy budget (SEB), including melt energy. The two AWSs are separated by about 70 km in the north-south direction, and both the near-surface meteorology and the SEB show similarities, although small differences in all components (most notably the melt flux) can be seen. The impact of subsurface abso… Show more

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Cited by 36 publications
(77 citation statements)
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“…), which is similar to the daily melt from the WRF simulations presented here for the same latitude (9.8 mm). The melting rates from Kuipers Munneke et al (2012) were, however, quite variable from day to day with the low melt days generally corresponding to low net SW input. Also, the melt due to SH and LH were generally quite large compared to the WRF simulation values, with mean values of 4.3 and −3.4 mm, respectively.…”
Section: Discussion Of the Melting Results In Light Of The Previous Lmentioning
confidence: 99%
See 1 more Smart Citation
“…), which is similar to the daily melt from the WRF simulations presented here for the same latitude (9.8 mm). The melting rates from Kuipers Munneke et al (2012) were, however, quite variable from day to day with the low melt days generally corresponding to low net SW input. Also, the melt due to SH and LH were generally quite large compared to the WRF simulation values, with mean values of 4.3 and −3.4 mm, respectively.…”
Section: Discussion Of the Melting Results In Light Of The Previous Lmentioning
confidence: 99%
“…A comparison of the non-föhn and föhn periods identified in Kuipers Munneke et al (2012) showed that net surface SW input was higher in the föhn period (equivalent mean melt values of 16.3 vs. 9.8 mm), as were net longwave losses (−12.8 vs. −6.5 mm). This is consistent with the idea of a lack of cloud during föhn events.…”
Section: Discussion Of the Melting Results In Light Of The Previous Lmentioning
confidence: 99%
“…RACMO2.3 has been adapted for use over the large ice sheets of Greenland and Antarctica ; it includes a multilayer snow model to calculate melt, percolation, refreezing, and runoff of liquid water (Ettema et al 2010); a prognostic scheme for snow grain size to calculate surface albedo (Kuipers Munneke et al 2011); and a routine that simulates the interaction of drifting snow with the surface and the lower atmosphere (Lenaerts et al 2012a). ERA-Interim data with 6-hourly resolution from January 1979 to December 2013 (Dee et al 2011) are used to force the model at the lateral atmospheric boundaries as well as at the lower ocean boundaries by prescribing sea ice fraction and sea surface temperatures.…”
Section: A Regional Atmospheric Climate Modelmentioning
confidence: 99%
“…We use the upper-air monthly climatology (2002-13) of these stations from the SCAR-READER database to assess the quality of simulated RACMO2.3 upper-air conditions. In addition, at AWS 14 on the Larsen Ice Shelf (LIS), during a short experimental campaign in January 2011 and at irregular intervals, additional balloon soundings were performed (Kuipers Munneke et al 2012). Two of these profiles are used together with simultaneous Rothera soundings to evaluate RACMO2.3-modeled gradients across the AP mountain range.…”
Section: ) Balloon Soundingsmentioning
confidence: 99%
“…In recent years, studies have been conducted on surface energy balance and near-surface processes in Greenland (e.g., Miller et al, 2013Miller et al, , 2015Miller et al, , 2017Berkelhammer et al, 2016) and Antarctica (e.g., van As et al, 2005;van den Broeke et al, 2006;Kuipers Munneke et al, 2012). At our study site at Summit, Greenland, Miller et al (2013) studied the inversions over 2 years but considered the 2 m air temperature to be the base of these inversions, and they did not investigate Miller et al (2017).…”
Section: Introductionmentioning
confidence: 99%