气候变化领域集成服务门户(CCPortal): Temporal and spatial variability in surface roughness and accumulation rate around 88° S from repeat airborne geophysical surveys

CCPortal

DOI	10.5194/tc-14-3287-2020
	Temporal and spatial variability in surface roughness and accumulation rate around 88° S from repeat airborne geophysical surveys
	Studinger M.; Medley B.C.; Brunt K.M.; Casey K.A.; Kurtz N.T.; Manizade S.S.; Neumann T.A.; Overly T.B.
发表日期	2020
ISSN	19940416
起始页码	3287
结束页码	3308
卷号	14 期号:10
英文摘要	We use repeat high-resolution airborne geophysical data consisting of laser altimetry, snow, and Ku-band radar and optical imagery acquired in 2014, 2016, and 2017 to analyze the spatial and temporal variability in surface roughness, slope, wind deposition, and snow accumulation at 88° S, an elevation bias validation site for ICESat-2 and potential validation site for CryoSat-2. We find significant small-scale variability (< 10 km) in snow accumulation based on the snow radar subsurface stratigraphy, indicating areas of strong wind redistribution are prevalent at 88° S. In general, highs in snow accumulation rate correspond with topographic lows, resulting in a negative correlation coefficient of r2D-0:32 between accumulation rate and MSWD (mean slope in the mean wind direction). This relationship is strongest in areas where the dominant wind direction is parallel to the survey profile, which is expected as the geophysical surveys only capture a two-dimensional cross section of snow redistribution. Variability in snow accumulation appears to correlate with variability in MSWD. The correlation coefficient between the standard deviations of accumulation rate and MSWD is r2D 0:48, indicating a stronger link between the standard deviations than the actual parameters. Our analysis shows that there is no simple relationship between surface slope, wind direction, and snow accumulation rates for the overall survey area.We find high variability in surface roughness derived from laser altimetry measurements on length scales smaller than 10 km, sometimes with very distinct and sharp transitions. Some areas also show significant temporal variability over the course of the 3 survey years. Ultimately, there is no statistically significant slopeindependent relationship between surface roughness and accumulation rates within our survey area. The observed correspondence between the small-scale temporal and spatial variability in surface roughness and backscatter, as evidenced by Ku-band radar signal strength retrievals, will make it difficult to develop elevation bias corrections for radar altimeter retrieval algorithms. © 2020 Copernicus GmbH. All rights reserved.
英文关键词	algorithm; altimetry; cross section; CryoSat; data acquisition; geophysical survey; laser; model validation; radar; snow accumulation; spatiotemporal analysis; surface roughness; topography
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/202217
作者单位	NASA Goddard Space Flight Center, Greenbelt, MD, United States; Earth System Science Interdisciplinary Center (ESSIC), University of Maryland, College Park, MD, United States; U.S. Geological Survey, Reston, VA, United States; Amentum Services Inc., Wallops Island, VA, United States; NASA Wallops Flight Facility, Wallops Island, VA, United States
推荐引用方式 GB/T 7714	Studinger M.,Medley B.C.,Brunt K.M.,et al. Temporal and spatial variability in surface roughness and accumulation rate around 88° S from repeat airborne geophysical surveys[J],2020,14(10).
APA	Studinger M..,Medley B.C..,Brunt K.M..,Casey K.A..,Kurtz N.T..,...&Overly T.B..(2020).Temporal and spatial variability in surface roughness and accumulation rate around 88° S from repeat airborne geophysical surveys.Cryosphere,14(10).
MLA	Studinger M.,et al."Temporal and spatial variability in surface roughness and accumulation rate around 88° S from repeat airborne geophysical surveys".Cryosphere 14.10(2020).