Title
An analysis of SST gradients off the Peruvian Coast: The impact of going to higher resolution
Date Issued
05 April 2013
Access level
metadata only access
Resource Type
journal article
Author(s)
Vazquez-Cuervo J.
Dewitte B.
Chin T.M.
Armstrong E.M.
Abstract
The Peruvian Coastal Upwelling System (PCUS) is one of the most productive fisheries in the world. Upwelling events are associated with changes in the magnitude and location of frontal structures. SST gradients from four different data sets, NCDC, REMSS, OSTIA, and MUR are compared in two test areas off the PCUS: Païta (5°S) and Pisco (14°S). In both areas gradients derived from the MUR data set show greater magnitudes, as well as larger seasonal cycles. Off Pisco, the magnitude of the seasonal cycle of 2.2. °C/100. km in MUR is larger than the one derived from the lower resolution data sets. All data sets at Pisco exhibit a seasonal cycle that peaks in late Austral summer and early fall. Hovmöller diagrams calculated at 5.5°S, 10.5°S, and 14.5°S show clearly defined offshore maxima in the cross-shore gradients for all the data sets. Upwelling scales determined by the distance to the first maxima vary depending on the data set used. At 5.5°S upwelling scales vary from 10. km for MUR to 50. km for NCDC. At 14.5°S the scales vary from 20. km for MUR to 40. km for OSTIA. All four data sets show similar large-scale structures associated with the Peruvian upwelling. However, MUR shows finer scale structures that are most likely due to submesoscale to mesoscale eddies. Sub-sampled MUR 1. km data at the 25. km, 9. km, and 4. km resolutions compare well in magnitude and phase with the lower resolution products. Agreement in gradient magnitude between the lower resolution data sets and the MUR sub-sampled at their respective resolutions implies that the pixel-to-pixel analysis noise in MUR is at a similar level as the other data sets. © 2012.
Start page
76
End page
84
Volume
131
Language
English
OCDE Knowledge area
Meteorología y ciencias atmosféricas
Oceanografía, Hidrología, Recursos hídricos
Investigación climática
Subjects
Scopus EID
2-s2.0-84872327095
Source
Remote Sensing of Environment
ISSN of the container
00344257
DOI of the container
10.1016/j.rse.2012.12.010
Sources of information:
Directorio de Producción Científica
Scopus