气候变化领域集成服务门户(CCPortal): New insights into SMOS sea surface salinity retrievals in the Arctic Ocean

CCPortal

DOI	10.1016/j.rse.2020.112027
	New insights into SMOS sea surface salinity retrievals in the Arctic Ocean
	Supply A.; Boutin J.; Vergely J.-L.; Kolodziejczyk N.; Reverdin G.; Reul N.; Tarasenko A.
发表日期	2020
ISSN	00344257
卷号	249
英文摘要	Since 2010, the Soil Moisture and Ocean Salinity (SMOS) satellite mission monitors the earth emission at L-Band. It provides the longest time series of Sea Surface Salinity (SSS) from space over the global ocean. However, the SSS retrieval at high latitudes is a challenge because of the low sensitivity L-Band radiometric measurements to SSS in cold waters and to the contamination of SMOS measurements by the vicinity of continents, of sea ice and of Radio Frequency Interferences. In this paper, we assess the quality of weekly SSS fields derived from swath-ordered instantaneous SMOS SSS (so called Level 2) distributed by the European Space Agency. These products are filtered according to new criteria. We use the pseudo-dielectric constant retrieved from SMOS brightness temperatures to filter SSS pixels polluted by sea ice. We identify that the dielectric constant model and the sea surface temperature auxiliary parameter used as prior information in the SMOS SSS retrieval induce significant systematic errors at low temperatures. We propose a novel empirical correction to mitigate those sources of errors at high latitudes. Comparisons with in-situ measurements ranging from 1 to 11 m depths spotlight huge vertical stratification in fresh regions. This emphasizes the need to consider in-situ salinity as close as possible to the sea surface when validating L-band radiometric SSS which are representative of the first top centimeter. SSS Standard deviation of differences (STDD) between weekly SMOS SSS and in-situ near surface salinity significantly decrease after applying the SSS correction, from 1.46 pss to 1.28 pss. The correlation between new SMOS SSS and in-situ near surface salinity reaches 0.94. SMOS estimates better capture SSS variability in the Arctic Ocean in comparison to TOPAZ reanalysis (STDD between TOPAZ and in-situ SSS = 1.86 pss), particularly in river plumes with very large SSS spatial gradients. © 2020 Elsevier Inc.
英文关键词	Arctic Ocean; Sea surface salinity; SMOS
语种	英语
scopus关键词	Oceanography; Passive filters; Radio interference; Radiometry; Sea ice; Search engines; Soil moisture; Systematic errors; Topaz; Brightness temperatures; European Space Agency; Radio frequency interference; Radiometric measurements; Sea surface salinity; Sea surface temperature (SST); Soil Moisture and Ocean Salinity (SMOS); Vertical stratification; Surface waters; cold water; global ocean; radiometer; satellite mission; sea ice; sea surface salinity; sea surface temperature; SMOS; spatial variation; Arctic Ocean
来源期刊	Remote Sensing of Environment
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/179160
作者单位	Laboratoire d'océanographie et du climat: expérimentations et approches numériques - Institut Pierre Simon Laplace (LOCEAN-IPSL), Sorbonne Université-CNRS-IRD-MNHN, Paris, France; ACRI-St, Guyancourt, France; Laboratoire d'Océanographie Physique et Spatiale (LOPS), Univ. Brest, CNRS, Ifremer, IRD, Brest, France; Arctic and Antarctic Research Institute, Saint-Petersburg, Russian Federation
推荐引用方式 GB/T 7714	Supply A.,Boutin J.,Vergely J.-L.,et al. New insights into SMOS sea surface salinity retrievals in the Arctic Ocean[J],2020,249.
APA	Supply A..,Boutin J..,Vergely J.-L..,Kolodziejczyk N..,Reverdin G..,...&Tarasenko A..(2020).New insights into SMOS sea surface salinity retrievals in the Arctic Ocean.Remote Sensing of Environment,249.
MLA	Supply A.,et al."New insights into SMOS sea surface salinity retrievals in the Arctic Ocean".Remote Sensing of Environment 249(2020).