气候变化领域集成服务门户(CCPortal): Variability scaling and consistency in airborne and satellite altimetry measurements of Arctic sea ice

CCPortal

DOI	10.5194/tc-14-751-2020
	Variability scaling and consistency in airborne and satellite altimetry measurements of Arctic sea ice
	Xu S.; Zhou L.; Wang B.
发表日期	2020
ISSN	19940416
起始页码	751
结束页码	767
卷号	14 期号:2
英文摘要	Satellite and airborne remote sensing provide complementary capabilities for the observation of the sea ice cover. However, due to the differences in footprint sizes and noise levels of the measurement techniques, as well as sea ice's variability across scales, it is challenging to carry out inter-comparison or consistently study these observations. In this study we focus on the remote sensing of sea ice thickness parameters and carry out the following: (1) the analysis of variability and its statistical scaling for typical parameters and (2) the consistency study between airborne and satellite measurements. By using collocating data between Operation IceBridge and CryoSat-2 (CS-2) in the Arctic, we show that consistency exists between the variability in radar freeboard estimations, although CryoSat-2 has higher noise levels. Specifically, we notice that the noise levels vary among different CryoSat-2 products, and for the European Space Agency (ESA) CryoSat-2 freeboard product the noise levels are at about 14 and 20 cm for first-year ice (FYI) and multi-year ice (MYI), respectively. On the other hand, for Operation IceBridge and NASA's Ice, Cloud, and land Elevation Satellite (ICESat), it is shown that the variability in snow (or total) freeboard is quantitatively comparable despite more than a 5-year time difference between the two datasets. Furthermore, by using Operation IceBridge data, we also find widespread negative covariance between ice freeboard and snow depth, which only manifests on small spatial scales (40 m for first-year ice and about 80 to 120 m for multi-year ice). This statistical relationship highlights that the snow cover reduces the overall topography of the ice cover. Besides this, there is prevalent positive covariability between snow depth and snow freeboard across a wide range of spatial scales. The variability and consistency analysis calls for more process-oriented observations and modeling activities to elucidate key processes governing snow-ice interaction and sea ice variability on various spatial scales. The statistical results can also be utilized in improving both radar and laser altimetry as well as the validation of sea ice and snow prognostic models. © Author(s) 2020.
英文关键词	CryoSat; ice thickness; remote sensing; satellite altimetry; sea ice; snow cover; Arctic; Arctic Ocean
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/202252
作者单位	Ministry of Education Key Laboratory for Earth System Modeling, Department of Earth System Science, Tsinghua University, Beijing, China; University Corporation for Polar Research, Beijing, China; State Key Laboratory of Numerical Modeling for Atmospheric Sciences and Geophysical Fluid Dynamics (LASG), Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, China
推荐引用方式 GB/T 7714	Xu S.,Zhou L.,Wang B.. Variability scaling and consistency in airborne and satellite altimetry measurements of Arctic sea ice[J],2020,14(2).
APA	Xu S.,Zhou L.,&Wang B..(2020).Variability scaling and consistency in airborne and satellite altimetry measurements of Arctic sea ice.Cryosphere,14(2).
MLA	Xu S.,et al."Variability scaling and consistency in airborne and satellite altimetry measurements of Arctic sea ice".Cryosphere 14.2(2020).