2003
DOI: 10.5194/angeo-21-137-2003
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Adriatic Sea surface temperature and ocean colour variability during the MFSPP

Abstract: Abstract. Two years and six months of night-time Advanced Very High Resolution Radiometer (AVHRR) sea surface temperature (SST) and daytime Sea viewing Wide Field of view Sensor (SeaWiFS) data collected during the MF-SPP have been used to examine spatial and temporal variability of SST and chlorophyll (Chl) in the Adriatic Sea. Flows along the Albanian and the Italian coasts can be distinguished year-round in the monthly averaged Chl but only in the colder months in the monthly averaged SST's. The Chl monthly-… Show more

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Cited by 20 publications
(26 citation statements)
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“…Seawater temperatures show one of the broadest ranges known in the Mediterranean Sea (Fine et al, 2001), with near tropical seawater in summer (28ºC in July and September 2009) and a considerable decrease in winter (8ºC in February 2010), similar to that found in the northern Adriatic Sea, where the lowest temperatures during the winter months are associated with the increase in coastal flows related to the Po River outflow (Böhm et al, 2003). The low values during the winter months in the study area could also be due to the large input of fresh water through the Khéreddine Canal.…”
Section: Environmental Variablessupporting
confidence: 50%
See 1 more Smart Citation
“…Seawater temperatures show one of the broadest ranges known in the Mediterranean Sea (Fine et al, 2001), with near tropical seawater in summer (28ºC in July and September 2009) and a considerable decrease in winter (8ºC in February 2010), similar to that found in the northern Adriatic Sea, where the lowest temperatures during the winter months are associated with the increase in coastal flows related to the Po River outflow (Böhm et al, 2003). The low values during the winter months in the study area could also be due to the large input of fresh water through the Khéreddine Canal.…”
Section: Environmental Variablessupporting
confidence: 50%
“…Finally, chlorophyll a showed strong fluctuations, with peaks in February, July and November 2009, and higher values during summer and autumn and minimum in spring. This data could be related to the input of nutrients through the Khéreddine Canal during the rainy seasons, as observed in the northern Adriatic Sea also (Böhm et al, 2003), and an increased volume of waste produced by the human population in summer, as found in the eastern Mediterranean Sea (Reizopoulou & Zenetos, 2005).…”
Section: Environmental Variablesmentioning
confidence: 99%
“…6) is coherent with the overall pattern of suspended matter described in previous studies based on satellite data and conducted during autumn/winter floods, although their investigations were performed using different satellite-derived products. For instance, Barale et al (1984) presented the vertical attenuation coefficient variability, Bignami et al (2007) used both the vertical attenuation coefficient and an index for turbid (Case 2) waters' occurrence, while other studies (Barale et al, 1986(Barale et al, , 2005Böhm et al, 2003;Spillman et al, 2007) describe the basin response to freshwater discharge and wind events.…”
Section: Turbidity Fieldmentioning
confidence: 99%
“…Since T higher than ∼ 3-5 FNU can be deemed as indicative of terrestrial discharge in NAS (Boldrin et al, 2005(Boldrin et al, , 2009Tesi et al, Braga et al, 2013), these values were used to delineate the surface expression of the plumes in the T field from the adjacent ocean waters (Fig. 6).…”
Section: Turbidity Fieldmentioning
confidence: 99%
“…Many studies have pointed out the relationship between fish abundance and SST (Simpson, 1994;Cole, 1999;Waluda et al, 2001;Yanez et al, 2001), the latter being obtained by satellite measurements. Within the framework of MFSTEP, SST data and also surface chlorophyll are made available for the entire Adriatic Sea by the ISAC-CNR, Rome (http://www.bo.ingv.it/adricosm, Böhm et al, 2003) and temperature at depth data are also available as model outputs. Models also provide other important physical parameters in 3 dimensions such as salinity, which has been used as a further explanatory variable in the analysis.…”
Section: Environmental Data (From Observations and Numerical Models)mentioning
confidence: 99%