气候变化领域集成服务门户(CCPortal): Remotely-sensed L4 SST underestimates the thermal fingerprint of coastal upwelling

CCPortal

DOI	10.1016/j.rse.2019.111588
	Remotely-sensed L4 SST underestimates the thermal fingerprint of coastal upwelling
	Meneghesso C.; Seabra R.; Broitman B.R.; Wethey D.S.; Burrows M.T.; Chan B.K.K.; Guy-Haim T.; Ribeiro P.A.; Rilov G.; Santos A.M.; Sousa L.L.; Lima F.P.
发表日期	2020
ISSN	00344257
卷号	237
英文摘要	Sea Surface Temperature (SST) is an essential variable for understanding key physical and biological processes. Blended and interpolated L4 SST products offer major advantages over alternative SST data sources due to their spatial and temporal completeness, yet their ability to discriminate upwelling-induced steep temperature transitions in coastal waters remains largely unassessed. Here we analysed the performance of eleven L4 GHRSST-compliant products in estimating in situ water temperatures recorded by a large network of shallow subtidal and intertidal temperature loggers deployed in shores covering regimes with a wide range of upwelling intensities. Results indicate that while most products perform satisfactorily for most of the year, performance is severely affected during the upwelling season in locations with strong upwelling. We show that upwelling negatively impacts all four metrics used to assess dataset performance (average bias, correlation, centred root-mean-square error and normalized standard deviation), leading to a considerable overestimation of coastal water temperatures (with average bias exceeding 2 °C in some cases). We also show that while the use of L3 data (i. e., prior to blending and interpolation) leads to an increase in performance compared to L4 GHRSST-compliant products, the gain is probably not substantial enough to offset issues related with their spatial and temporal inconsistency along coastlines. Our results suggest that the use of L4 GHRSST-compliant products can lead to a misrepresentation of the thermal fingerprint of upwelling, and thus should be limited (or even avoided) in locations dominated by its effects. Conversely, the use of L4 GHRSST-compliant products on locations with little to no upwelling appears to be warranted. The mismatch between in situ and remotely-sensed sea water temperatures here reported also highlights the need for implementation of long-term monitoring networks of in situ temperature loggers. © 2019 Elsevier Inc.
英文关键词	Coast; GHRSST; Sea surface temperature; Upwelling
语种	英语
scopus关键词	Atmospheric temperature; Blending; Coastal zones; Location; Mean square error; Remote sensing; Seawater; Submarine geophysics; Surface properties; Surface waters; GHRSST; Long term monitoring; Normalized standard deviations; Root mean square errors; Sea surface temperature (SST); Temperature transition; Temporal inconsistencies; Upwelling; Oceanography; coastal water; coastal zone; remote sensing; sea surface salinity; sea surface temperature; seawater; upwelling
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/179518
作者单位	CIBIO, Centro de Investigação em Biodiversidade e Recursos Genéticos, Universidade do Porto, Campus Agrário de Vairão, Vairão, 4485-661, Portugal; Faculdade de Ciências da Universidade do Porto, Rua do Campo Alegre s/n, Porto, 4169-007, Portugal; Departamento de Ciencias, Facultad de Artes Liberales & Bioengineering Innovation Center, Facultad de Ingeniería y Ciencias, Universidad Adolfo Ibañez, Padre Hurtado 750, Viña del Mar, Chile; Department of Biological Sciences, University of South Carolina, Coker Life Sciences Building, 715 Sumter Street, Columbia, SC 29208, United States; SAMS, Scottish Association for Marine Science, Oban, Argyll, Scotland PA37 1QA, United Kingdom; Biodiversity Research Center, Academia Sinica, 128 Academia Road, Sec. 2, Nankang, Taipei 11529, Taiwan; National Institute of Oceanography, Israel Oceanographic and Limnological Research (IOLR), PO Box 8030, Haifa, 31080, Israel; MARE – Marine and Environmental Sciences Centre/IMAR – Instituto do Mar/Centro OKEANOS, Universidade d...
推荐引用方式 GB/T 7714	Meneghesso C.,Seabra R.,Broitman B.R.,et al. Remotely-sensed L4 SST underestimates the thermal fingerprint of coastal upwelling[J],2020,237.
APA	Meneghesso C..,Seabra R..,Broitman B.R..,Wethey D.S..,Burrows M.T..,...&Lima F.P..(2020).Remotely-sensed L4 SST underestimates the thermal fingerprint of coastal upwelling.Remote Sensing of Environment,237.
MLA	Meneghesso C.,et al."Remotely-sensed L4 SST underestimates the thermal fingerprint of coastal upwelling".Remote Sensing of Environment 237(2020).