气候变化领域集成服务门户(CCPortal): Estimating the snow depth, the snow-ice interface temperature, and the effective temperature of Arctic sea ice using Advanced Microwave Scanning Radiometer 2 and ice mass balance buoy data

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DOI	10.5194/tc-13-1283-2019
	Estimating the snow depth, the snow-ice interface temperature, and the effective temperature of Arctic sea ice using Advanced Microwave Scanning Radiometer 2 and ice mass balance buoy data
	Kilic L.; Tage Tonboe R.; Prigent C.; Heygster G.
发表日期	2019
ISSN	19940416
EISSN	13
起始页码	1283
结束页码	1296
卷号	13 期号:4
英文摘要	Mapping sea ice concentration (SIC) and understanding sea ice properties and variability is important, especially today with the recent Arctic sea ice decline. Moreover, accurate estimation of the sea ice effective temperature (Teff) at 50 GHz is needed for atmospheric sounding applications over sea ice and for noise reduction in SIC estimates. At low microwave frequencies, the sensitivity to the atmosphere is low, and it is possible to derive sea ice parameters due to the penetration of microwaves in the snow and ice layers. In this study, we propose simple algorithms to derive the snow depth, the snowce interface temperature (TSnowIce) and the Teff of Arctic sea ice from microwave brightness temperatures (TBs). This is achieved using the Round Robin Data Package of the ESA sea ice CCI project, which contains TBs from the Advanced Microwave Scanning Radiometer 2 (AMSR2) collocated with measurements from ice mass balance buoys (IMBs) and the NASA Operation Ice Bridge (OIB) airborne campaigns over the Arctic sea ice. The snow depth over sea ice is estimated with an error of 5.1 cm, using a multilinear regression with the TBs at 6, 18, and 36V. The TSnowIce is retrieved using a linear regression as a function of the snow depth and the TBs at 10 or 6V. The root mean square errors (RMSEs) obtained are 2.87 and 2.90K respectively, with 10 and 6V TBs. The Teff at microwave frequencies between 6 and 89 GHz is expressed as a function of TSnowIce using data from a thermodynamical model combined with the Microwave Emission Model of Layered Snowpacks. Teff is estimated from the TSnowIce with a RMSE of less than 1 K. © Author(s) 2019. This work is distributed under the Creative Commons Attribution 4.0 License.
学科领域	algorithm; AMSR-E; brightness temperature; buoy system; data buoy; depth determination; estimation method; ice; mass balance; radiometric method; sea ice; snow; Arctic Ocean; Eragrostis tef
语种	英语
scopus关键词	algorithm; AMSR-E; brightness temperature; buoy system; data buoy; depth determination; estimation method; ice; mass balance; radiometric method; sea ice; snow; Arctic Ocean; Eragrostis tef
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/118891
作者单位	Sorbonne Universite, Observatoire de Paris, Universite PSL, CNRS, LERMA, Paris, France; Danish Meteorological Institute, Copenhagen, Denmark; Institute of Environmental Physics, University of Bremen, Bremen, Germany
推荐引用方式 GB/T 7714	Kilic L.,Tage Tonboe R.,Prigent C.,et al. Estimating the snow depth, the snow-ice interface temperature, and the effective temperature of Arctic sea ice using Advanced Microwave Scanning Radiometer 2 and ice mass balance buoy data[J],2019,13(4).
APA	Kilic L.,Tage Tonboe R.,Prigent C.,&Heygster G..(2019).Estimating the snow depth, the snow-ice interface temperature, and the effective temperature of Arctic sea ice using Advanced Microwave Scanning Radiometer 2 and ice mass balance buoy data.The Cryosphere,13(4).
MLA	Kilic L.,et al."Estimating the snow depth, the snow-ice interface temperature, and the effective temperature of Arctic sea ice using Advanced Microwave Scanning Radiometer 2 and ice mass balance buoy data".The Cryosphere 13.4(2019).