气候变化领域集成服务门户(CCPortal): Combined SMAP-SMOS thin sea ice thickness retrieval

CCPortal

DOI	10.5194/tc-13-675-2019
	Combined SMAP-SMOS thin sea ice thickness retrieval
	Patilea C.; Heygster G.; Huntemann M.; Spreen G.
发表日期	2019
ISSN	19940416
EISSN	13
起始页码	675
结束页码	691
卷号	13 期号:2
英文摘要	The spaceborne passive microwave sensors Soil Moisture Ocean Salinity (SMOS) and Soil Moisture Active Passive (SMAP) provide brightness temperature data in the L band (1.4 GHz). At this low frequency the atmosphere is close to transparent and in polar regions the thickness of thin sea ice can be derived. SMOS measurements cover a large incidence angle range, whereas SMAP observes at a fixed 40° incidence angle. By using brightness temperatures at a fixed incidence angle obtained directly (SMAP), or through interpolation (SMOS), thin sea ice thickness retrieval is more consistent as the incidence angle effects do not have to be taken into account. Here we transfer a retrieval algorithm for the thickness of thin sea ice (up to 50 cm) from SMOS data at 40 to 50° incidence angle to the fixed incidence angle of SMAP. The SMOS brightness temperatures (TBs) at a given incidence angle are estimated using empirical fit functions. SMAP TBs are calibrated to SMOS to provide a merged SMOS-SMAP sea ice thickness product. The new merged SMOS-SMAP thin ice thickness product was improved upon in several ways compared to previous thin ice thickness retrievals. (i) The combined product provides a better temporal and spatial coverage of the polar regions due to the usage of two sensors. (ii) The radio frequency interference (RFI) filtering method was improved, which results in higher data availability over both ocean and sea ice areas. (iii) For the intercalibration between SMOS and SMAP brightness temperatures the root mean square difference (RMSD) was reduced by 30% relative to a prior attempt. (iv) The algorithm presented here allows also for separate retrieval from any of the two sensors, which makes the ice thickness dataset more resistant against failure of one of the sensors. A new way to estimate the uncertainty of ice thickness retrieval was implemented, which is based on the brightness temperature sensitivities. © 2019 Author(s).
学科领域	algorithm; brightness temperature; ice thickness; land-sea interaction; polar region; satellite data; sea ice; sensor; SMOS
语种	英语
scopus关键词	algorithm; brightness temperature; ice thickness; land-sea interaction; polar region; satellite data; sea ice; sensor; SMOS
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/118921
作者单位	Institute of Environmental Physics, University of Bremen, Bremen, Germany; Alfred Wegener Institute, Bremerhaven, Germany
推荐引用方式 GB/T 7714	Patilea C.,Heygster G.,Huntemann M.,et al. Combined SMAP-SMOS thin sea ice thickness retrieval[J],2019,13(2).
APA	Patilea C.,Heygster G.,Huntemann M.,&Spreen G..(2019).Combined SMAP-SMOS thin sea ice thickness retrieval.The Cryosphere,13(2).
MLA	Patilea C.,et al."Combined SMAP-SMOS thin sea ice thickness retrieval".The Cryosphere 13.2(2019).