Tracing offshore low-salinity plumes in the Northeastern Gulf of Mexico during the summer season by use of multispectral remote-sensing data
To trace offshore surface low-salinity water (LSW) in the northeastern Gulf of Mexico, a proxy was developed using the surface water beam attenuation coefficient (c p), and salinity matched with synchronous Sea-viewing Wide Field-of-view Sensor (SeaWiFS) satellite data from three annual summer cruises (July 1998–August 2000) using a two-step empirical approach. First, a relationship between in-situ salinity and c p was obtained. Second, in-situ c p was matched with SeaWiFS radiance ratios of all available blue-to-green wavelengths. Finally, satellite-derived surface salinity was determined directly by combining the two empirical relationships, providing a robust estimate over a range of salinities (26–36). This significantly improves the limited spatial and temporal resolution of surface salinity distribution obtained by shipboard sampling. The resulting correlation is best explained as mixing between low-salinity plume waters and normal salinity Gulf waters. The empirical relationships were used to map satellite-derived salinity using the average of SeaWiFS images during each summer cruise. As expected for summer, spatial patterns of LSW plumes with high c p, particulate matter (PM), particulate organic carbon (POC), and chlorophyll-a (Chl-a) were connected to the mouth of the Mississippi River Delta and extended to the east-southeast. Normal salinity Gulf water with lower c p, PM, POC, and Chl-a was confined to the shelf and upper slope in the eastern part of the study area, outside the plumes. This proxy approach can be applied throughout the region of shipboard sampling for more detailed coverage and analysis.
KeywordsLow-salinity water (LSW) Beam attenuation coefficient Satellite-derived salinity Gulf of Mexico SeaWiFS MNDCI
The work of scientists and technicians who participated in the Minerals Management Service-funded NEGOM program (OCS Study 98-0060) is greatly appreciated. This study was a part of the project entitled “Support for research and applications of Geostationary Ocean Color Imager (GOCI)” and “Assessment of the Impact of Climate change on Marine Ecosystem in the South Sea of Korea” funded by the Ministry of Land, Transport, and Maritime Affairs, Korea, and partially financially supported by KORDI projects (KORDI contract numbers PE98781) and Hansung University. SeaWiFS data are the property of the GeoEye Corporation, and their use here is in accordance with the SeaWiFS Research Data Use Terms and Conditions Agreement of the NASA SeaWiFS project and is gratefully acknowledged.
- Bernal CE (2001) Spatial and temporal distributions of particulate matter and particulate organic carbon, northeast Gulf of Mexico. MS thesis, Texas A&M University, College StationGoogle Scholar
- Hooker SB, Firestone ER, Acker JC (1994) SeaWiFS pre-launch radiometric calibration and spectral characterization. SeaWiFS technical report series, NASA Technical Memorandum 104566, vol 23Google Scholar
- Morey SL, Martin PJ, O’Brien JJ, Wallcraft AA, Zavala-Hidalgo J (2003) Export pathways for river discharged fresh water in the northern Gulf of Mexico. J Geophys Res 108(C10). doi: 10.1029/20002JC001674
- Nowlin WD, Jochens AE, Reid RO, DiMarco SF (1998) Texas-Louisiana shelf circulation and transport processes study: synthesis report, vol I: technical report. OCS Study MMS 98-0035. U.S. Department of the Interior, Minerals Management Service, Gulf of Mexico, OCS Region, New Orleans, LAGoogle Scholar
- Sasaki H, Siswanto E, Nishiuchi K, Tanaka K, Hasegawa T, Ishizaka J (2008) Mapping the low salinity Changjiang diluted water using satellite retrieved colored dissolved organic matter (CDOM) in the East China Sea during high river flow season. Geophys Res Lett 35:L04604. doi: 10.1029/2007GL032637 CrossRefGoogle Scholar
- Son YB (2006) POC algorithms based on spectral remote sensing data and its temporal and spatial variability in the Gulf of Mexico. PhD thesis, Texas A&M University, College StationGoogle Scholar
- Son YB, Gardner WD (2010) Determining spatial and temporal variations of surface particulate organic carbon (POC) using in-situ measurements and remote sensing data in the northeastern Gulf of Mexico during El Niño and La Niña. The Sea J Korean Soc Oceanogr 15(2):51–61 (in Korean with English abstract)Google Scholar
- Son YB, Gardner WD (2011) Climatological variability of surface particulate organic carbon (POC) and physical processes based on ocean color data in the Gulf of Mexico. Korean J Remote Sens 27(3):235–258Google Scholar
- Stramski D, Reynolds RA, Babin M, Kaczmarek S, Lewis MR, Rottgers R, Sciandra A, Stramska M, Twardowski MS, Franz BA, Claustre H (2008) Relationship between the surface concentration of particulate organic carbon and optical properties in the eastern South Pacific and eastern Atlantic Oceans. Biogeosciences 5:171–201CrossRefGoogle Scholar
- Wentz FJ, LeVine D (2008) Algorithm theoretical basis document Aquarius level-2 radiometer algorithm: revision 1. Aquarius RSS Technical Report 012208, Aquarius Ground Segment, Goddard Space Flight Center, January 2008Google Scholar