气候变化领域集成服务门户(CCPortal): Local-scale variability of snow density on Arctic sea ice

CCPortal

DOI	10.5194/tc-14-4323-2020
	Local-scale variability of snow density on Arctic sea ice
	King J.; Howell S.; Brady M.; Toose P.; Derksen C.; Haas C.; Beckers J.
发表日期	2020
ISSN	19940416
起始页码	4323
结束页码	4339
卷号	14 期号:12
英文摘要	Local-scale variations in snow density and layering on Arctic sea ice were characterized using a combination of traditional snow pit and SnowMicroPen (SMP) measurements. In total, 14 sites were evaluated within the Canadian Arctic Archipelago and Arctic Ocean on both first-year (FYI) and multi-year (MYI) sea ice. Sites contained multiple snow pits with coincident SMP profiles as well as unidirectional SMP transects. An existing SMP density model was recalibrated using manual density cutter measurements (n D 186) to identify best-fit parameters for the observed conditions. Cross-validation of the revised SMP model showed errors comparable to the expected baseline for manual density measurements (RMSED34 kgm3 or 10.9 %) and strong retrieval skill (R2 D0.78). The density model was then applied to SMP transect measurements to characterize variations at spatial scales of up to 100 m. A supervised classification trained on snow pit stratigraphy allowed separation of the SMP density estimates by layer type. The resulting dataset contains 58 882 layer-classified estimates of snow density on sea ice representing 147m of vertical variation and equivalent to more than 600 individual snow pits. An average bulk density of 310 kgm3 was estimated with clear separation between FYI and MYI environments. Lower densities on MYI (277 kgm3) corresponded with increased depth hoar composition (49.2 %), in strong contrast to composition of the thin FYI snowpack (19.8 %). Spatial autocorrelation analysis showed layered composition on FYI snowpack to persist over long distances while composition on MYI rapidly decorrelated at distances less than 16 m. Application of the SMP profiles to determine propagation bias in radar altimetry showed the potential errors of 0.5 cm when climatology is used over known snow density. © 2020 BMJ Publishing Group. All rights reserved.
英文关键词	autocorrelation; bulk density; error analysis; estimation method; model validation; parameterization; radar altimetry; sea ice; separation; snowpack; spatial analysis; supervised classification; Arctic Ocean; Canada; Canadian Arctic
语种	英语
来源期刊	Cryosphere
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/202127
作者单位	Climate Research Division, Environment and Climate Change Canada, Toronto, M3H5T4, Canada; Alfred Wegener Institute of Polar and Marine Research, Bremerhaven, Germany; Canadian Forest Service, Natural Resources Canada, Edmonton, T6H 3S5, Canada; Department of Earth and Atmospheric Sciences, University of Alberta, Edmonton, T6G2E3, Canada
推荐引用方式 GB/T 7714	King J.,Howell S.,Brady M.,et al. Local-scale variability of snow density on Arctic sea ice[J],2020,14(12).
APA	King J..,Howell S..,Brady M..,Toose P..,Derksen C..,...&Beckers J..(2020).Local-scale variability of snow density on Arctic sea ice.Cryosphere,14(12).
MLA	King J.,et al."Local-scale variability of snow density on Arctic sea ice".Cryosphere 14.12(2020).