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DOI10.5194/tc-13-1409-2019
Snow-driven uncertainty in cryosat-2-derived antarctic sea ice thickness - Insights from McMurdo sound
Price D.; Soltanzadeh I.; Rack W.; Dale E.
发表日期2019
ISSN19940416
EISSN13
起始页码1409
结束页码1422
卷号13期号:4
英文摘要Knowledge of the snow depth distribution on Antarctic sea ice is poor but is critical to obtaining sea ice thickness from satellite altimetry measurements of the freeboard. We examine the usefulness of various snow products to provide snow depth information over Antarctic fast ice in McMurdo Sound with a focus on a novel approach using a high-resolution numerical snow accumulation model (SnowModel). We compare this model to results from ECMWF ERA-Interim precipitation, EOS Aqua AMSR-E passive microwave snow depths and in situ measurements at the end of the sea ice growth season in 2011. The fast ice was segmented into three areas by fastening date and the onset of snow accumulation was calibrated to these dates. SnowModel captures the spatial snow distribution gradient in McMurdo Sound and falls within 2cm snow water equivalent (s.w.e) of in situ measurements across the entire study area. However, it exhibits deviations of 5cms.w.e. from these measurements in the east where the effect of local topographic features has caused an overestimate of snow depth in the model. AMSR-E provides s.w.e. values half that of SnowModel for the majority of the sea ice growth season. The coarser-resolution ERA-Interim produces a very high mean s.w.e. value 20cm higher than the in situ measurements. These various snow datasets and in situ information are used to infer sea ice thickness in combination with CryoSat-2 (CS-2) freeboard data. CS-2 is capable of capturing the seasonal trend of sea ice freeboard growth but thickness results are highly dependent on what interface the retracked CS-2 height is assumed to represent. Because of this ambiguity we vary the proportion of ice and snow that represents the freeboard - a mathematical alteration of the radar penetration into the snow cover - and assess this uncertainty in McMurdo Sound. The ranges in sea ice thickness uncertainty within these bounds, as means of the entire growth season, are 1.08, 4.94 and 1.03m for SnowModel, ERA-Interim and AMSR-E respectively. Using an interpolated in situ snow dataset we find the best agreement between CS-2-derived and in situ thickness when this interface is assumed to be 0.07m below the snow surface. © 2019 Author(s).
学科领域AMSR-E; CryoSat; EOS; ice thickness; in situ measurement; radar; satellite altimetry; sea ice; snow accumulation; snow cover; snow water equivalent; vertical distribution; Antarctica; East Antarctica; McMurdo Sound
语种英语
scopus关键词AMSR-E; CryoSat; EOS; ice thickness; in situ measurement; radar; satellite altimetry; sea ice; snow accumulation; snow cover; snow water equivalent; vertical distribution; Antarctica; East Antarctica; McMurdo Sound
来源期刊The Cryosphere
文献类型期刊论文
条目标识符http://gcip.llas.ac.cn/handle/2XKMVOVA/118885
作者单位Gateway Antarctica, University of Canterbury, Private Bag 4800, Christchurch, New Zealand; Met Service, 30 Salamanca Road, Kelburn, Wellington, 6012, New Zealand; Department of Physics and Astronomy, University of Canterbury, Christchurch, New Zealand
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GB/T 7714
Price D.,Soltanzadeh I.,Rack W.,et al. Snow-driven uncertainty in cryosat-2-derived antarctic sea ice thickness - Insights from McMurdo sound[J],2019,13(4).
APA Price D.,Soltanzadeh I.,Rack W.,&Dale E..(2019).Snow-driven uncertainty in cryosat-2-derived antarctic sea ice thickness - Insights from McMurdo sound.The Cryosphere,13(4).
MLA Price D.,et al."Snow-driven uncertainty in cryosat-2-derived antarctic sea ice thickness - Insights from McMurdo sound".The Cryosphere 13.4(2019).
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