Investigating the chlorophyll-a variability in the Gulf of Taranto (North-western Ionian Sea) by a multi-temporal analysis of MODIS-Aqua Level 3/Level 2 data

Ciancia, Emanuele; Coviello, I.; Polito, Carmine Di; Lacava, Teodosio; Pergola, Nicola; Satriano, Valeria; Tramutoli, Valerio

doi:10.1016/j.csr.2018.01.011

Cited by 15 publications

(21 citation statements)

References 56 publications

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“…This correlation should be explored in the future. For instance, the reversal of the Gulf of Taranto gyre occurred during the late 2010 and beginning 2011 ( Figure 5) have been connected to an anomalous chlorophyll-a bloom in the GT, as described in Ciancia et al (2018).…”

Section: Discussionmentioning

confidence: 92%

Observational Evidence of the Basin‐Wide Gyre Reversal in the Gulf of Taranto

Federico

Pinardi

Lyubartsev

et al. 2020

Geophysical Research Letters

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The paper shows for the first time the observational evidence of basin-wide gyre reversal in the Gulf of Taranto (north-western Ionian Sea in the eastern Mediterranean Sea) by means of two specifically designed in situ oceanographic campaigns (based on CTD and ADCP measurements). The analysis of the in situ data shows a change in circulation from anticyclonic in October 2014 to cyclonic in June-July 2016. Furthermore, long-term (1993-2018) analysis using gridded satellite altimetry data in the Gulf of Taranto shows that the cyclonic gyres are more frequent than anticyclonic gyres. The latter occur only for 2 to 3 years at a time in some decades. Plain Language Summary The work shows the observational evidence of a phenomenon named gyre reversal (the circulation changes from cyclonic to anticyclonic), occurring in ocean regions with specific geometry characteristics, among others the Gulfs. In particular, our results unequivocally show for the first time the reversal of the basin-scale gyre circulation in the Gulf of Taranto (north-western Ionian Sea in the eastern Mediterranean Sea), by means of in situ oceanographic measurements and satellite data.

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Section: Discussionmentioning

confidence: 92%

Observational Evidence of the Basin‐Wide Gyre Reversal in the Gulf of Taranto

Federico

Pinardi

Lyubartsev

et al. 2020

Geophysical Research Letters

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“…Furthermore, signal fluctuations due to spurious/random effects (sun glint contamination, suspended sediment variability, etc.) can only determine a higher standard deviation, thus resulting in a reduction of the ALICE index values and a much more selective identification of anomalous events [49,50]. As assessed by an independent work focused on RST [51], the investigated satellite historical series should consist of about 80 images to guarantee representative background signal.…”

Section: The Robust Satellite Techniques (Rst) Approachmentioning

confidence: 99%

On the Potential of RST-FLOOD on Visible Infrared Imaging Radiometer Suite Data for Flooded Areas Detection

et al. 2019

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Timely and continuous information about flood spatiotemporal evolution are fundamental to ensure an effective implementation of the relief and rescue operations in case of inundation events. In this framework, satellite remote sensing may provide a valuable contribution provided that robust data analysis methods are implemented and suitable data, in terms of spatial, spectral and temporal resolutions, are employed. In this paper, the Robust Satellite Techniques (RST) approach, a satellite-based differential approach, already applied at detecting flooded areas (and therefore christened RST-FLOOD) with good results on different polar orbiting optical sensors (i.e., Advanced Very High Resolution Radiometer – AVHRR – and Moderate Resolution Imaging Spectroradiometer – MODIS), has been fully implemented on time series of Suomi National Polar-orbiting Partnership (Suomi-NPP-SNPP) Visible Infrared Imaging Radiometer Suite (VIIRS) data. The flooding event affecting the Metaponto Plain in Basilicata and Puglia regions (southern Italy) in December 2013 was selected as a case study and investigated by analysing five years (only December month) of VIIRS Imagery bands at 375 m spatial resolution. The achieved results clearly indicate the potential of the proposed approach, especially when compared with a satellite-based high resolution map of flooded area, as well as with the official flood hazard map of the area and the outputs of a recent published VIIRS-based method. Both flood extent and dynamics have been recognized with good reliability during the investigated period, with only a residual 11.5% of possible false positives over an inundated area extent of about 73 km2. In addition, a flooded area of about 18 km2 was found outside the hazard map, suggesting it requires updating to better manage flood risk and prevent future damages. Finally, the achieved results indicate that medium-resolution optical data, if analysed with robust methodologies like RST-FLOOD, can be suitable for detecting and monitoring floods also in case of small hydrological basins.

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Section: Study Areamentioning

confidence: 99%

“…On the basis of scientific studies conducted both at basin (Mediterranean Sea) [41,43] and regional (Gulf of Taranto) scales [40], the investigated area largely has been characterized by a chl-a "non-blooming" regime, indicating the absence of a marked chl-a peak bloom and generally showing oligotrophic conditions. However, BICW chemical/physical properties are influenced by the seasonal outflows of the Basilicata major rivers, such as Bradano, Basento, Cavone, Agri, and Sinni (from NE to SW, Figure 1b), which can be considered as the main freshwater inputs of the Gulf of Taranto [38,54].…”

Section: Study Areamentioning

confidence: 99%

“…The proximity of pollution sources (i.e., the Taranto harbor) and river discharges can determine continuous fluctuations in the concentration of the bio-optical components along the water column [38] and/or changes in the biological response of the BICW marine ecosystem. Such an area has been poorly investigated thus far in terms of chl-a satellite estimates, with only several regional/basin scale studies [39], which aimed at monitoring the chl-a inter-annual variability [40] or at better characterizing the phytoplankton phenology in the Mediterranean Sea [41][42][43]. To fill such a research gap, BICW have been studied within the "IOnian Sea water quality MOnitoring by Satellite data" (IOSMOS) project, a European Transnational Cooperation action co-funded by the ERDF Operational Programme Basilicata 2007-2013.…”

Section: Introductionmentioning

confidence: 99%

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Evaluation of MODIS—Aqua Chlorophyll-a Algorithms in the Basilicata Ionian Coastal Waters

et al. 2018

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Standard chlorophyll-a (chl-a) algorithms, which rely on Moderate Resolution Imaging Spectro-radiometer (MODIS) data aboard the Aqua satellite, usually show different performances depending on the area under consideration. In this paper, we assessed their accuracy in retrieving the chl-a concentration in the Basilicata Ionian Coastal waters (Ionian Sea, South of Italy). The outputs of one empirical (Med-OC3) and two semi-analytical algorithms, the Garver-Siegel-Maritorena (GSM) and the Generalized Inherent Optical Properties (GIOP) model, have been compared with ground measurements acquired during three different measurement campaigns. The achieved results prove the poor accuracy (adjusted R 2 value of 0.12) of the investigated empirical algorithm and, conversely, the good performance of semi-analytical algorithms (adjusted R 2 ranging from 0.74 to 0.79). The coexistence of Coloured Dissolved Organic Matter (CDOM) and Non-Algal Particles (NAP) has likely determined large errors in the reflectance ratios used in the OCx form algorithms. Finally, a local scale assessment of the bio-optical properties, on the basis of the in situ dataset, allowed for the definition of an operational local scale-tuned version of the MODIS chl-a algorithm, which assured increased accuracy (adjusted R 2 value of 0.86). Such a tuned algorithm version can provide useful information which can be used by local authorities within regional management systems.

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Investigating the chlorophyll-a variability in the Gulf of Taranto (North-western Ionian Sea) by a multi-temporal analysis of MODIS-Aqua Level 3/Level 2 data

Cited by 15 publications

References 56 publications

Observational Evidence of the Basin‐Wide Gyre Reversal in the Gulf of Taranto

Observational Evidence of the Basin‐Wide Gyre Reversal in the Gulf of Taranto

On the Potential of RST-FLOOD on Visible Infrared Imaging Radiometer Suite Data for Flooded Areas Detection

Evaluation of MODIS—Aqua Chlorophyll-a Algorithms in the Basilicata Ionian Coastal Waters

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