Analyzing trend and heatwaves of 15 Years of Sea Surface Temperature Variations along the Italian Adriatic Coast.

Water temperature is a vital parameter impacting the growth and survival of aquatic life. Using satellite-derived infrared data, this study analysed the trend of sea surface temperature (SST) from 2008 to 2022 of the Adriatic coastal waters of Italian regions. The "Mediterranean Sea High Resolution and Ultra High Resolution Sea Surface Temperature Analysis" product collected from the Copernicus Marine Service of European Copernicus programme was used, as a good compromise among spatial accuracy, temporal frequency and coverage. SST were derived in 176 locations, placed in the Adriatic Sea from the southern limit of the lagoon of Venice (Veneto) to Santa Maria di Leuca (LE), at a distance from the coast between 500 m and 5000 m (0.3 - 2.7 nautical miles). Time series analysis was applied to average value of daily SST calculated from the selected spatial locations to identify the additive model components: trend, seasonality and random effects. The trend component was isolated and assessed using a linear regression model to determine its significance and magnitude. A 0.010 °C/year increase in SST was observed. Additionally, marine heatwaves and cold spells were consistently registered throughout the entire observation period, with a north-south gradient in intensity.

Authors

Institutions

Publication Details

Journal
PubMed
Published
2024-12-31
DOI
https://doi.org/10.12834/vetit.3583.27524.2
Citations
3
Primary Topic
Oceanographic and Atmospheric Processes
Type
article
Field-Weighted Citation Impact
1.44
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Analyzing trend and heatwaves of 15 Years of Sea Surface Temperature Variations along the Italian Adriatic Coast.

Federico Filipponi, Susanna Tora, Carla Giansante, Carla Ippoliti et al.
3 citations
PubMed
Oceanographic and Atmospheric Processes
1.44
article

Analyzing trend and heatwaves of 15 Years of Sea Surface Temperature Variations along the Italian Adriatic Coast.

Federico Filipponi, Susanna Tora, Carla Giansante, Carla Ippoliti, Romolo Salini, Annamaria Conte
article en
3 citations

Abstract

Water temperature is a vital parameter impacting the growth and survival of aquatic life. Using satellite-derived infrared data, this study analysed the trend of sea surface temperature (SST) from 2008 to 2022 of the Adriatic coastal waters of Italian regions. The "Mediterranean Sea High Resolution and Ultra High Resolution Sea Surface Temperature Analysis" product collected from the Copernicus Marine Service of European Copernicus programme was used, as a good compromise among spatial accuracy, temporal frequency and coverage. SST were derived in 176 locations, placed in the Adriatic Sea from the southern limit of the lagoon of Venice (Veneto) to Santa Maria di Leuca (LE), at a distance from the coast between 500 m and 5000 m (0.3 - 2.7 nautical miles). Time series analysis was applied to average value of daily SST calculated from the selected spatial locations to identify the additive model components: trend, seasonality and random effects. The trend component was isolated and assessed using a linear regression model to determine its significance and magnitude. A 0.010 °C/year increase in SST was observed. Additionally, marine heatwaves and cold spells were consistently registered throughout the entire observation period, with a north-south gradient in intensity.

PubMedVol. 60(4)
Institute of Environmental Geology and Geoengineering (IT), Istituto Zooprofilattico Sperimentale dell'Abruzzo e del Molise G. Caporale (IT)
Openalex Percentile: Top 18%
Oceanographic and Atmospheric Processes
1.44
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.