A Comparative Study of the Sensitivity of an Ocean Model Outputs to Atmospheric Forcing: ERA-Interim vs. ERA5 for Adriatic Sea Ocean Modelling DOI Creative Commons

Javad Babagolimatikolaei

Dynamics of Atmospheres and Oceans, Journal Year: 2024, Volume and Issue: unknown, P. 101525 - 101525

Published: Dec. 1, 2024

Language: Английский

Projections of the Adriatic wave conditions under climate changes DOI Creative Commons
Aimie Moulin, Lorenzo Mentaschi, Emanuela Clementi

et al.

Frontiers in Climate, Journal Year: 2024, Volume and Issue: 6

Published: July 17, 2024

Assessing the impact of climate change on wave conditions, including average and extreme waves, is vital for numerous marine-related activities, industries, coastal vulnerability, marine habitats. Previous research, primarily a large scale, has investigated this topic, but its relevance marginal basins like Adriatic Sea limited due to low resolution models used atmospheric forcing. To contribute filling in gap, here we implemented high-resolution model (about 2 km) period 1992–2050. The future simulated RCP8.5 emission scenario. This model, developed within AdriaClim project, comprises, among others, downscaling, circulation Limited Area Model spectral model. A comparison our simulation's results with Copernicus Marine Service reanalysis historical baseline, confirms accuracy reproducing both parameters 95th percentile values, as well seasonal cycle, showing model's suitability source predict climates Sea. projected changes suggest slight increase significant height mean period, more decrease at percentile, relevant variability by location season, partially aligning previous studies. study highlights potential effect local areas importance developing long-term simulation downscaled modeling system regional areas.

Language: Английский

Citations

1

Marine climate indicators in the Adriatic Sea DOI Creative Commons
Vladimir Santos da Costa, Jacopo Alessandri, Giorgia Verri

et al.

Frontiers in Climate, Journal Year: 2024, Volume and Issue: 6

Published: Nov. 15, 2024

This research seeks to categorize and ascertain the primary marine climatic indicators within complex Adriatic Sea area. Employing subregional climate downscaling models with resolution on scale of a few kilometers, incorporating atmospheric, oceanic, hydrological coupled models, study scrutinizes historical baseline simulations (from 1992 2011) future projections 2031 2050) under RCP8.5 scenario. The chosen are related Surface Temperature (SST), Marine Heat Waves (MHWs), Brunt–Väisälä frequency, Level Rise (SLR), Ocean Content (OHC). main results show positive trend in SST its correlation circulation structures. It is noticeable that period reveals greater compared projection period, being 0.04°C/year 0.022°C/year, respectively. OHC shows expected maximum increase southern Gyre. stability water column, as identified by frequency values, decreased shallow northern due river discharge decrease while it increased mid-depth column central regions. number amplitude MHW increases especially if referenced finally rate total sea level rise consistent compensating effects between warming salting changing budget.

Language: Английский

Citations

1

Harnessing Machine Learning to Decode the Mediterranean’s Climate Canvas and Forecast Sea Level Changes DOI Open Access
Cristina Radin, Verònica Nieves, Marina Vicens-Miquel

et al.

Climate, Journal Year: 2024, Volume and Issue: 12(8), P. 127 - 127

Published: Aug. 22, 2024

Climate change and rising sea levels pose significant threats to coastal regions, necessitating accurate timely forecasts. Current methods face limitations due their inability fully capture nonlinear complexities, high computational costs, gaps in historical data, bridging the gap between short-term long-term forecasting intervals. Our study addresses these challenges by combining advanced machine learning techniques provide region-specific level predictions Mediterranean Sea. By integrating high-resolution surface temperature data spanning 40 years, we employed a tailored k-means clustering technique identify regions of variance. Using clusters, developed RNN-GRU models that integrate tide gauge height offering regional on timescales ranging from one month three years. approach achieved highest predictive accuracy, with correlation values 0.65 0.84 comprehensive datasets, demonstrating model’s robustness. In areas fewer stations or shorter time series, our still performed moderately well, correlations 0.51 0.70. However, prediction accuracy decreases complex geomorphology. Yet, all effectively captured variability trends. This highlights versatility capacity adapt different characteristics, making it invaluable for planning adaptation strategies. methodology offers powerful tool identifying similar providing sub-regional scale up years advance, ensuring more reliable actionable forecasts communities.

Language: Английский

Citations

0

First Report of the Thermophilic Thalassoma Pavo (Linnaeus, 1758) on the Central Adriatic Coast of Italy, in Abruzzo DOI Creative Commons
Alessio Arbuatti, Alessandra Di Serafino, Pia Lucidi

et al.

Biology, Journal Year: 2024, Volume and Issue: 13(12), P. 987 - 987

Published: Nov. 29, 2024

The Trabocchi Coast in the Chieti district of mid-Adriatic (Italy) is one few rocky areas within General Fisheries Commission GSA 17, alongside Mount Conero (Ancona 43°00′01″ N 13°52′13″ E) and small San Nicola Rock (Ascoli Piceno; 43°32′0″ 13°36′0″ E). This coastline known for its biodiversity-rich bays, inlets, submerged cliffs. Since 2015, annual biodiversity surveys have been conducted area, focusing on marine species richness identification non-native species. In September 2024, a juvenile ornate wrasse (Thalassoma pavo) was documented first time middle Adriatic during an underwater visual survey at Trabocco Punta Torre, key site along near artificial biogenic reefs. record extends distribution T. pavo, thermophilic previously reported only southern coast Puglia. confirmed sighting northern Italy. discovery highlights importance ongoing monitoring to track changes ecosystems, particularly as Sea faces environmental shifts linked climate warming. presence pavo this area suggests potential establish populations uninhabited regions. Further research needed explore role biotic abiotic factors—such water temperature, current patterns, habitat availability—in survival reproduction Adriatic. observation contributes broader understanding meridionalization process Sea, where rising temperatures are facilitating northward expansion Continuous recommended assess long-term viability better predict impacts change biodiversity.

Language: Английский

Citations

0

Marine benthic diatoms from the Adriatic Sea (NE Mediterranean) DOI Creative Commons
Ana Car, Aydın Kaleli

Acta Botanica Croatica, Journal Year: 2024, Volume and Issue: 84(2)

Published: Dec. 11, 2024

Despite more than 30 years of investigations, the knowledge composition and spatial distribution marine benthic diatoms along both coasts Adriatic Sea is still limited. The a checklist diatom taxa in Mediterranean sub-basin are presented based on literature data. nomenclature brought up to date synonyms included. Eight hundred twenty-two species belonging 70 families 163 genera have been reported. number pennate represented was 719. Families with highest were: Naviculaceae (8), Bacillariaceae (7), Surirellaceae (6), Fragilariaceae (6). belonged (95) (88). most numerous were Mastogloia (65 taxa), Navicula (62), Nitzschia (53), Amphora (52), Diploneis (43), Cocconeis (37), Halamphora (24), Achnanthes (22), Licmophora Tryblionella (19), Fallacia (15), Surirella (14), Grammatophora (13), Lyrella (12). This study focused areas investigation according reviewed showed that many be investigated. Nevertheless, this first comprehensive Sea, updated recent literature, valuable tool. However, it important update has progressive over time. Incorporating data will improve overall diversity microalgae our ecology coastal ecosystems.

Language: Английский

Citations

0

Salt-wedge estuary's response to rising sea level, reduced discharge, and Nature-Based Solution DOI Creative Commons
Giorgia Verri, Alessandro De Lorenzis, Vladimir Santos da Costa

et al.

Frontiers in Climate, Journal Year: 2024, Volume and Issue: 6

Published: Dec. 18, 2024

Vulnerable estuaries face resilience challenges against climate-induced salinization. This study examines the Po di Goro estuary in Northern Adriatic Sea using an innovative modeling approach. It assesses effectiveness of a Nature-Based Solution reducing threat salt-wedge intrusion. An intermediate-complexity numerical model is considered, leveraging its low computational cost, which suitable for climate projections, along with robust physics encompassing main estuarine processes. Two centennial experiments covering 1991–2100 are proposed following mechanistic approach to understand compound effects sea level rise and river discharge changes. The first experiment full forcing experiment. second uses same but removes as input forcing. A third experiment, referred Digital Twin Experiment, location-specific Solution. specifically impact salt levels water by halophyte plant estuary. results show that, future change scenario, intrusion increases. response due non-linear combination reduced local rise. decrease acts driver mid-term (i.e., 2050–2080). In long-term 2080–2100), becomes more relevant trend expected be null. projected increase up 63% annually (120% summertime). Additionally, mouth salinity could 27% (69% summertime) (2081–2100). plant, Atriplex portulaciodes, Solution, reduce 16% (22% summer) future. short-term future, this may effective enough counteract increase.

Language: Английский

Citations

0

A Comparative Study of the Sensitivity of an Ocean Model Outputs to Atmospheric Forcing: ERA-Interim vs. ERA5 for Adriatic Sea Ocean Modelling DOI Creative Commons

Javad Babagolimatikolaei

Dynamics of Atmospheres and Oceans, Journal Year: 2024, Volume and Issue: unknown, P. 101525 - 101525

Published: Dec. 1, 2024

Language: Английский

Citations

0