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Comparison of in situ and satellite ocean color determinations of particulate organic carbon concentration in the global ocean

Świrgoń M., Stramska M.

Oceanologia

2015

No. 57 (1)

25--31

Ocean color satellite missions have provided more than 16-years of consistent, synoptic observations of global ocean ecosystems. Surface chlorophyll concentrations (Chl) derived from satellites have been traditionally used as a metric for phytoplankton biomass. In recent years interpretation of ocean-color satellite data has progressed beyond the estimation of Chl. One of the newer ocean color products is particulate organic carbon (POC) concentration. In this paper we carry out comparisons of simultaneous satellite and in situ POC determinations. Our results indicate that the performance of the standard NASA POC algorithm (Stramski et al., 2008) is comparable to the standard empirical band ratio algorithms for Chl.

Seasonal variability in the Baltic Sea level

Stramska M., Kowalewska-Kalkowska H., Świrgoń M.

Oceanologia

2013

No. 55 (4)

787--807

Sea level is subject to spatial and temporal variability on different scales. In this paper we investigate seasonal variability in the open Baltic Sea level using daily satellite altimetry data for the period 1 January 1993-31 December 2010. Our results indicate that there is a well-pronounced seasonal cycle in the 18-year average sea level and in its standard deviation. The average annual SLA amplitude in the open Baltic Sea is about 18 cm. The seasonal cycle of the SLA in the Baltic Sea is asymmetric in shape. In the autumn and winter (about 240-260 days per year), the 18-year average daily SLA are higher than the 18-year annual average SLA. In the spring and summer (about 100-120 days per year), the 18-year average daily SLA are lower than the 18-year annual average SLA. A similar asymmetry of the seasonal cycle is not observed in the North Sea and North Atlantic SLA data. The annual pattern of the sea level variability in the Baltic Sea is evident if one considers multi-year average time series, but the cycle can be obscured in some years.