2014
DOI: 10.1016/j.jmarsys.2012.05.011
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MODIS-based sea surface temperature of the Baltic Sea Curonian Lagoon

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Cited by 44 publications
(31 citation statements)
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“…As Figure 2 shows, the largest discrepancies between these two are found in April and September. In April, this might be attributed to the fact that the background water temperature is relatively low during this month, = 6 °C (see, e.g., Figure 4 in the literature [27]), and, hence, the SST contrast between the ambient and upwelled waters is not well pronounced in the satellite data. A possible reason for missing CU events in September might be a deepening of the mixed layer as a result of the thermal convection and turbulent mixing during autumn [40], making it difficult to distinguish low intensity upwelling events in IR SST data.…”
Section: Satellite Observations Vs Coastal Measurementsmentioning
confidence: 92%
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“…As Figure 2 shows, the largest discrepancies between these two are found in April and September. In April, this might be attributed to the fact that the background water temperature is relatively low during this month, = 6 °C (see, e.g., Figure 4 in the literature [27]), and, hence, the SST contrast between the ambient and upwelled waters is not well pronounced in the satellite data. A possible reason for missing CU events in September might be a deepening of the mixed layer as a result of the thermal convection and turbulent mixing during autumn [40], making it difficult to distinguish low intensity upwelling events in IR SST data.…”
Section: Satellite Observations Vs Coastal Measurementsmentioning
confidence: 92%
“…MODIS Level 2 daytime (MODIS thermal bands 31 (11 µ) and 32 (12 µ) images (L2_LAC_SST product)) covering the study site with a spatial resolution of about 1 km [25] were obtained from the NASA OceanColor website [26]. The validation of this product against in situ observations in the SE Baltic and the Curonian Lagoon carried out by the authors of [27] showed a very good correspondence between space-borne and conventional SST measurements, suggesting that MODIS-based SST retrievals can be further used to analyze SST development over the study region.…”
Section: Satellite Datamentioning
confidence: 99%
“…Other authors have attributed the observed differences to the presence and displacement of mesoscale structures like the Great Whirl [ Santos et al ., ]. Finally, other authors, [ Howden and Murtugudde , ; Vizy and Cook , ; Park et al ., ; Materia et al ., ] linked the presence of rivers, as well as the presence of transitional water bodies such as coastal lagoons [e.g., Kozlov et al ., ], to the different warming or cooling patterns found in some regions. For a full study on SST changes worldwide, the reader is referred to Lima and Wethey [], who detected that 71.6% of the world coastal locations have experienced a warming trend during the last three decades.…”
Section: Introductionmentioning
confidence: 99%
“…The salinity, temperature, nutrient and food particle gradients due to the vicinity of the Curronian lagoon (Kozlov et al 2014), may have influenced recruitment and growth of mussels on experimental units in our study. Strong influence of freshwater from the Curronian lagoon caused decrease of salinity during May in sites JM-15, JM-20 and LI-15.…”
Section: Number Of Larvae Vs Number Of Recruitsmentioning
confidence: 92%
“…The best feeding conditions for mussels could be expected in JM-15 and JM-20, as the Curronian lagoon creates a gradient of nutrients and phytoplankton (Kozlov et al 2014). However even temporal stratification restricts the water exchange between water layers, creating higher food availability in the upper water layer devoid of organisms able to profit, simultaneously decreasing the food availability for mussels below the thermocline.…”
Section: Number Of Larvae Vs Number Of Recruitsmentioning
confidence: 99%