globalchange  > 气候变化与战略
DOI: 10.5194/tc-15-345-2021
论文题名:
Inter-comparison of snow depth over Arctic sea ice from reanalysis reconstructions and satellite retrieval
作者: Zhou L.; Stroeve J.; Xu S.; Petty A.; Tilling R.; Winstrup M.; Rostosky P.; Lawrence I.R.; Liston G.E.; Ridout A.; Tsamados M.; Nandan V.
刊名: Cryosphere
ISSN: 19940416
出版年: 2021
卷: 15, 期:1
起始页码: 345
结束页码: 367
语种: 英语
英文关键词: airborne sensing ; comparative study ; correlation ; glacier mass balance ; ground-based measurement ; reconstruction ; satellite data ; sea ice ; snow accumulation ; spatiotemporal analysis ; Arctic ; Atlantic Ocean ; Canada ; Canadian Arctic
英文摘要: In this study, we compare eight recently developed snow depth products over Arctic sea ice, which use satellite observations, modeling, or a combination of satellite and modeling approaches. These products are further compared against various ground-truth observations, including those from ice mass balance observations and airborne measurements. Large mean snow depth discrepancies are observed over the Atlantic and Canadian Arctic sectors. The differences between climatology and the snow products early in winter could be in part a result of the delaying in Arctic ice formation that reduces early snow accumulation, leading to shallower snowpacks at the start of the freeze-up season. These differences persist through spring despite overall more winter snow accumulation in the reanalysis-based products than in the climatologies. Among the products evaluated, the University of Washington (UW) snow depth product produces the deepest spring (March-April) snowpacks, while the snow product from the Danish Meteorological Institute (DMI) provides the shallowest spring snow depths. Most snow products show significant correlation with snow depths retrieved from Operational IceBridge (OIB) while correlations are quite low against buoy measurements, with no correlation and very low variability from University of Bremen and DMI products. Inconsistencies in reconstructed snow depth among the products, as well as differences between these products and in situ and airborne observations, can be partially attributed to differences in effective footprint and spatial-temporal coverage, as well as insufficient observations for validation/bias adjustments. Our results highlight the need for more targeted Arctic surveys over different spatial and temporal scales to allow for a more systematic comparison and fusion of airborne, in situ and remote sensing observations. © 2021 Copernicus GmbH. All rights reserved.
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/164838
Appears in Collections:气候变化与战略

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作者单位: Ministry of Education Key Laboratory for Earth System Modeling, Department of Earth System Science, Tsinghua University, Beijing, China; Centre for Polar Observation and Modelling, Earth Sciences, University College London, London, United Kingdom; Centre for Earth Observation Science, University of Manitoba, Winnipeg, Canada; National Snow and Ice Data Center, University of Colorado, Boulder, CO, United States; University Corporation for Polar Research, Beijing, China; NASA Goddard Space Flight Center, Greenbelt, MD, United States; Earth System Science Interdisciplinary Center, University of Maryland, College Park, MD, United States; DTU Space, Technical University of Denmark, Lyngby, Denmark; Danish Meteorological Institute (DMI), Copenhagen, Denmark; Institute of Environmental Physics, University of Bremen, Bremen, Germany; Centre for Polar Observation and Modelling, University of Leeds, Leeds, United Kingdom; Colorado State University, Cooperative Institute for Research in the Atmosphere (CIRA), Fort Collins, CO, United States

Recommended Citation:
Zhou L.,Stroeve J.,Xu S.,et al. Inter-comparison of snow depth over Arctic sea ice from reanalysis reconstructions and satellite retrieval[J]. Cryosphere,2021-01-01,15(1)
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