气候变化领域集成服务门户(CCPortal): Lagrangian Reconstruction to Extract Small-Scale Salinity Variability From SMAP Observations

CCPortal

DOI	10.1029/2020JC016477
	Lagrangian Reconstruction to Extract Small-Scale Salinity Variability From SMAP Observations
	Barceló-Llull B.; Drushka K.; Gaube P.
发表日期	2021
ISSN	21699275
卷号	126 期号:3
英文摘要	As the resolution of observations and models improves, emerging evidence indicates that ocean variability on 1–200-km scales is of fundamental importance to ocean circulation, air-sea interaction, and biogeochemistry. In many regions, salinity variability dominates over thermal effects in forming density fronts. Unfortunately, current satellite observations of sea surface salinity (SSS) only resolve scales ≥40 km (or larger, depending on the product). In this study, we investigate small-scale variability (≲25 km) by reconstructing gridded SSS observations made by the Soil Moisture Active Passive (SMAP) satellite in the northwest Atlantic Ocean. Using altimetric geostrophic currents, we numerically advect SMAP SSS fields to produce a Lagrangian reconstruction that represents small scales. Reconstructed fields are compared to in-situ salinity observations made by a ship-board thermosalinograph, revealing a marked improvement in small-scale salinity variability when compared to the original SMAP fields, particularly from the continental shelf to the Gulf Stream. In the Sargasso Sea, however, both SMAP and the reconstructed fields contain higher variability than is observed in situ. Enhanced small-scale salinity variability is concentrated in two bands: a northern band aligned with the continental shelfbreak and a southern band aligned with the Gulf Stream mean position. Seasonal differences in the small-scale variability appear to covary with the seasonal cycle of the large-scale SSS gradients resulting from the freshening of the coastal waters during periods of elevated river outflow. © 2021. American Geophysical Union. All Rights Reserved.
英文关键词	Lagrangian methods; Lagrangian reconstruction; ocean salinity; remote sensing; submesoscale
语种	英语
来源期刊	Journal of Geophysical Research: Oceans
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/186442
作者单位	Applied Physics Laboratory, University of Washington, Seattle, WA, United States
推荐引用方式 GB/T 7714	Barceló-Llull B.,Drushka K.,Gaube P.. Lagrangian Reconstruction to Extract Small-Scale Salinity Variability From SMAP Observations[J],2021,126(3).
APA	Barceló-Llull B.,Drushka K.,&Gaube P..(2021).Lagrangian Reconstruction to Extract Small-Scale Salinity Variability From SMAP Observations.Journal of Geophysical Research: Oceans,126(3).
MLA	Barceló-Llull B.,et al."Lagrangian Reconstruction to Extract Small-Scale Salinity Variability From SMAP Observations".Journal of Geophysical Research: Oceans 126.3(2021).