@book{JRC42090,
	editor = {},
	address = {Hannover (Germany)},
	year = {2007},
	author = {Barale V},
	isbn = {},
	abstract = {Systematic observations in the visible spectral range allow the determination of algal bloom markers such as the concentration of chlorophyll-like pigments (chl). In near-coastal waters, uncertainties can arise in the computation of chl absolute values, due to the presence of other optically active materials (i.e. dissolved organic matter and suspended inorganic particles). Nevertheless, the analysis of historical time series of satellite data can provide rather accurate information on recurring and/or anomalous algal blooming in enclosed seas. A SeaWiFS-derived (1998-2005) chl  data set was used to monitor phytoplankton growth patterns in the Black Sea (and, to a lesser extent, in the Marmara Sea and the Azov Sea as well). Yearly and monthly mean concentrations were computed for the eight years available, and climatological mean images derived. Interannual and seasonal variabilities were assessed, computing yearly and monthly anomalies as the difference between each individual year/month and the corresponding climatological year/month. The analysis of these anomalies provides a novel insight into the Black Sea algal blooms dynamics and seasonality, and related environmental boundary conditions. High-chl patterns, and higher anomalies, recur in the northwestern coastal zone (under the direct influence of runoff from major European rivers) throughout the year, with maxima in summer. More variable conditions are observed in the pelagic zone, where maxima tend to occur in fall. Mesoscale eddies are thought to provide a vialble mixing mechanism between these two regimes. Interannual variability is large, with lower chl values (and anomalies) in 2000 and 2001, and then even more so in 2002 and 2003. 
		},
	title = {Recurrent vs Anomalous Bloomimg Patterns in Coastal and Pelagic Regions of the Black Sea},
	url = {http://www.earsel.org/?target=publications/proceedings/workshops},
	volume = {},
	number = {},
	journal = {},
	pages = {1-10},
	issn = {},
	publisher = {EARSeL Secretariat},
	doi = {}
}