2019
DOI: 10.1016/j.ocemod.2019.01.006
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Performance of multi-decadal ocean simulations in the Adriatic Sea

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Cited by 15 publications
(14 citation statements)
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“…The maximum was deeper at the perimeter of the SAP (points A and D in Figure 8B). Very similar salinity distribution remained till the end of 2016 (Figure 8C), with a large salt content in the layer that is normally mixed by the open sea convection during severe wintertime forcing (the mixing can extend to 900 m, Gačić et al, 2002;Dunić et al, 2019).…”
Section: Processes Contributing To Anomalous Thermohaline Properties In 2017mentioning
confidence: 80%
See 1 more Smart Citation
“…The maximum was deeper at the perimeter of the SAP (points A and D in Figure 8B). Very similar salinity distribution remained till the end of 2016 (Figure 8C), with a large salt content in the layer that is normally mixed by the open sea convection during severe wintertime forcing (the mixing can extend to 900 m, Gačić et al, 2002;Dunić et al, 2019).…”
Section: Processes Contributing To Anomalous Thermohaline Properties In 2017mentioning
confidence: 80%
“…Namely, such high salinity conditions would lower the stability of the water column and therefore increase vertical mixing and the DWF. Both thermohaline data collected at the Palagruža Sill between 1952 and 2010 and climate simulations (Somot et al, 2006) indicate a shallowing and/or weakening of the Adriatic thermohaline circulation, yet climate models are still far from providing reliable reproduction of thermohaline variability in the Adriatic Sea (Dunić et al, 2019). If the DWF decreases in the future climate, this might have a substantial impact on the deep Adriatic organisms, in particular on those residing along the perimeter of the Jabuka Pit depressions, which are known as nursery and spawning areas for a large number of Adriatic species (Zorica et al, 2020).…”
Section: Discussionmentioning
confidence: 99%
“…First, a digital terrain model (DTM), including (1) coastline data generated by the Institute of Oceanography and Fisheries, (2) offshore bathymetry from ETOPO1 (Amante and Eakins, 2009), and (3) nearshore bathymetry from navigation charts CM93 201, provides high-resolution bathymetry data for both AdriSC ROMS grids. Moreover, the bathymetry (with the minimum depth of 2 m) is smoothed with the application of a linear programming (LP) method (Dutour Sikirić et al, 2009) to the ROMS 3 km and 1 km grids. In this way the roughness factors are minimized while keeping the DTM bathymetric features.…”
Section: Adrisc Climate Modelmentioning
confidence: 99%
“…computational resources and running time)depending of the temporal and spatial scales of the studied processesremains one of the major issues of the climate modelling community. For example, (1) the RCMs of the Med-CORDEX community have already been proven to largely underestimate the dense water budget of the Adriatic Sea (Dunić et al, 2019), while (2) the recently developed MEDSEA ocean re-analysis at approximately 4-5 km (Escudier et al, 2020) is forced by the ERA5 atmospheric re-analysis known to underestimate the extreme bora events (Denamiel et al, 2021a). To properly capture the Adriatic thermohaline circulation triggered by the dense water formation in the northern Adriatic Sea, the reliability of MEDSEA in the Adriatic Sea thus largely depends on the data assimilation and not the physics.…”
Section: Summary and Perspectivesmentioning
confidence: 99%
“…Somot et al, 2006;Sevault et al, 2014). However, these RCMs have shown to be incapable to properly reproduce the processes at the coastal scale mainly due to their relatively coarse horizontal resolution (of the order of 10 km) which is insufficient to resolve the complexity of the coastal morphologies of the Adriatic (McKiver et al, 2016;Dunić et al, 2019). In addition, some quasi-climate ocean studies were carried out to quantify interannual variability of the Adriatic dense water dynamics (e.g.…”
mentioning
confidence: 99%