Adding Maddalena Scotto paper

src/data/papers-citing-parcels.ts

@@ -2547,4 +2547,13 @@ export const papersCitingParcels: Paper[] = [
     abstract:
       'Coastal lagoons are shallow water bodies connected through narrow inlets, and their varying hydrographic conditions lead to distinct ecological characteristics providing important ecosystem services. Sharma is a restricted coastal lagoon (150 km2) surrounded by pristine coral reefs in the northern Red Sea (NRS), and it holds significant value as it is part of Saudi Arabias NEOM ongoing gigaproject. Previous research revealed a remarkable anomalous phytoplankton seasonality within the lagoon compared to the rest of the NRS waters, with the lagoon exhibiting a late summer peak, opposite to the winter/spring peak in open waters. Here we aim to identify the physical mechanisms driving this phytoplankton phenology paradox and support informed decision-making for the lagoon’s future. To investigate the driving mechanism of phytoplankton phenology inside the lagoon, we utilised regionally-tuned satellite chlorophyll-a data (Sentinel-3 OLCI), in situ cruise measurements, and outputs from a high-resolution numerical model (Delft3D). We reveal several hydrodynamic differences between winter and summer that collectively alter stratification strength and nutrient availability within the lagoon due to its enclosed nature. Tidal oscillations modulate lagoon exchange, with seasonal density differences altering stratification and mixing. In summer, this density difference diminishes, and flood tides can induce mixing, especially during the day. Additionally, diurnal heat fluxes, particularly the summer nighttime heat loss from evaporation, enhance vertical mixing and ultimately nutrient availability. Following our findings, we provide recommendations to the NEOM project stakeholders targeting to sustain Sharmas ecosystem services by maintaining this natural phytoplankton phenology paradox.',
   },
+  {
+    title:
+      'Dispersion monitoring services in the Mediterranean Sea: A multi-model statistical approach',
+    published_info: 'Marine Pollution Bulletin, 222, 118574',
+    authors: 'Maddalena Scotto, B, A Lira Loarca, A Novellino, G Besio (2026)',
+    doi: 'https://doi.org/10.1016/j.marpolbul.2025.118574',
+    abstract:
+      'The Mediterranean Sea is increasingly impacted by shipborne pollution, necessitating sophisticated oil spill monitoring systems. This study presents a detailed framework for assessing oil spill dynamics in the Mediterranean using various oceanographic models. The first part compares oil dispersion results using sea surface current data from Copernicus Marine Environment Monitoring Service (CMEMS), Naval Hydrographic and Oceanographic Service (SHOM), and French Research Institute for the Exploitation of the Sea (IFREMER). The second part evaluates particle dispersion simulations, improving upon previous results by incorporating Stokes drift and wind drag effects from the Copernicus ERA5 and the MeteOcean model, operational at DICCA Unige. The study also calculates the centroid of each oil slick to track its trajectory over time and assessing its spatial and temporal deformation. To validate the methodology, a practical case study is conducted, comparing the results with Sentinel-1 satellite images from the first days after the accident and with press reports. The results demonstrate that both Stokes drift and wind significantly influence the surface transport of oil spill, improving trajectory predictions when combined with surface currents. In addition, comparison between ocean and climate models revealed substantial variability in dispersion results, highlighting the importance of model selection in operational forecasting or the benefits of the use of a multi-model probabilistic approach.',
+  },
 ]