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dc.contributor.authorROBLES TAMAYO, CARLOS MANUEL
dc.contributor.authorValdez Holguín, José Eduardo
dc.contributor.authorGARCIA MORALES, RICARDO
dc.contributor.authorFIGUEROA PRECIADO, GUDELIA
dc.contributor.authorHerrera Cervantes, Hugo
dc.contributor.authorLOPEZ MARTINEZ, JUANA
dc.contributor.authorEnríquez Ocaña, Luis Fernando
dc.date.issued2018
dc.identifierhttps://cibnor.repositorioinstitucional.mx/jspui/handle/1001/1637
dc.identifier.urihttp://dspace.cibnor.mx:8080/handle/123456789/2973
dc.formatpdfes
dc.language.isoisles
dc.publisherMultidisciplinary Digital Publishing Institutees
dc.rightsAcceso abiertoes
dc.sourceRemote Sensing
dc.subjectsea surface temperature (SST), oceanographic variability, Eastern Coastal Zone, Gulf of Californiaes
dc.subject.classificationOCEANOGRAFÍA DESCRIPTIVAes
dc.titleSea Surface Temperature (SST) Variability of the Eastern Coastal Zone of the Gulf of Californiaes
dc.typearticlees
dc.description.abstracten"The coastal zones are areas with a high flow of energy and materials where diverse ecosystems are developed. The study of coastal oceanography is important to understand the variability of these ecosystems and determine their role in biogeochemical cycles and climate change. Sea surface temperature (SST) analysis is indispensable for the characterization of physical and biological processes, and it is affected by processes at diverse timescales. The purpose of this work is to analyze the oceanographic variability of the Eastern Coastal Zone of the Gulf of California through the study of the SST from time series analysis of monthly data obtained from remote sensors (AVHRR-Pathfinder Version 5.1 and Version 5 resolution of 4 km, MODIS-Aqua, resolution of 4 km) for the period 1981 to 2016. The descriptive analysis of SST series showed that the values decrease from south to north, as well as the amplitude of the warm period decrease from south to north (cold period increase from south to north). The minimum values occurred during January and February, and ranged between 18 and 20 _C; and maximum values, of about 32 _C, arose in August and September. Cluster analysis allowed to group the data in four regions (south, center, midriff islands and north), the spectral analysis in each region showed frequencies of variation in scales: Annual (the main), seasonal, semiannual, and interannual. The latter is associated with the El Niño and La Niña climatological phenomena."es


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