Red Sea warming and its links to the Red Sea dipole and upwelling mechanisms

A comprehensive analysis of changes in sea surface temperature (SST) was performed across the Red Sea for the period 2003 to 2020 using satellite data from the Moderate Resolution Imaging Spectroradiometer (MODIS) Aqua. Employing a regionalization scheme based on principal component analysis (PCA), five homogenous sub-regions were identified that explain about 85 % of the total variation in SST across the Red Sea. The results indicate that there is a diverse and complex range of SST variability throughout the Red Sea. Spatially, distinct SST trends were observed between the southern (PC1) and northern (PC3) regions, which show northward enhancement in the rate of SST trends. A zonal contrast in the rate of warming over the western and eastern sectors was also observed, exhibiting more pronounced warming trends along the western coasts. In contrast to the offshore and deep waters, surface warming in shallow waters (depth < 100 m) was more pronounced, which poses detrimental effects (e.g., thermal coral bleaching) on regional marine ecosystems. We found a robust link between spatial patterns of SST anomalies and the phases of the Red Sea Dipole (RSD). This connection was largely regulated by the upwelling associated with the local wind-stress-curl. Further, the spatial and temporal patterns of wind-driven upwelling (i.e., coastal and wind-stress-curl-driven upwelling) were reminiscent of the SST trend, highlighting the significant role of the upwelling mechanism in the SST budget and trend across the Red Sea. The positive phase of the RSD aligns with periods of stronger Toker Jet activity, reinforcing cold SST anomalies in the southern Red Sea due to enhanced upwelling-induced cooling. However, the impacts of wind-driven upwelling on local SST differ from region to region, highlighting the need to employ a high-resolution wind dataset in the simulation of SST across the Red Sea. Overall, our findings offer insights into the complex mechanisms and factors influencing SST variability in the Red Sea, thereby contributing to improving coastal zone management and environmental planning efforts. Seasonal and annual mean WSCD upwelling (colour shaded; m/day) during the positive (upper panels) and negative (lower panels) phases of the Red Sea Dipole (RSD) for the period 2008–2020. • The northern and western regions showed a more rapid SST warming. • Shallow areas experienced higher rates of SST increase, potentially affecting coral reef ecosystems. • The spatial variability of SST trends is linked to the positive mode of the RSD. • Higher WSCD along the eastern Red Sea leads to active upwelling and reduced warming rates. • Upwelling mechanisms are more complex in the southern Red Sea, leading to heterogeneous SST trends.

Authors

Institutions

Publication Details

Journal
Journal of Marine Systems
Published
2025-04-21
DOI
https://doi.org/10.1016/j.jmarsys.2025.104066
Primary Topic
Oceanographic and Atmospheric Processes
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Red Sea warming and its links to the Red Sea dipole and upwelling mechanisms

Azza Ragab, Hassan Aboelkhair, Hossam Ismael, Mohammad Hadi Bordbar et al.
Journal of Marine Systems
Oceanographic and Atmospheric Processes
article

Red Sea warming and its links to the Red Sea dipole and upwelling mechanisms

Azza Ragab, Hassan Aboelkhair, Hossam Ismael, Mohammad Hadi Bordbar, Beatriz Fernández‐Duque, Emad K. Mohamed, Ahmed El Kenawy, Matthew F. McCabe, Mohamed M. Abdelaal, Mohammed El Alfy, S. M. Robaa, Shimaa Mebed
article en

Abstract

A comprehensive analysis of changes in sea surface temperature (SST) was performed across the Red Sea for the period 2003 to 2020 using satellite data from the Moderate Resolution Imaging Spectroradiometer (MODIS) Aqua. Employing a regionalization scheme based on principal component analysis (PCA), five homogenous sub-regions were identified that explain about 85 % of the total variation in SST across the Red Sea. The results indicate that there is a diverse and complex range of SST variability throughout the Red Sea. Spatially, distinct SST trends were observed between the southern (PC1) and northern (PC3) regions, which show northward enhancement in the rate of SST trends. A zonal contrast in the rate of warming over the western and eastern sectors was also observed, exhibiting more pronounced warming trends along the western coasts. In contrast to the offshore and deep waters, surface warming in shallow waters (depth < 100 m) was more pronounced, which poses detrimental effects (e.g., thermal coral bleaching) on regional marine ecosystems. We found a robust link between spatial patterns of SST anomalies and the phases of the Red Sea Dipole (RSD). This connection was largely regulated by the upwelling associated with the local wind-stress-curl. Further, the spatial and temporal patterns of wind-driven upwelling (i.e., coastal and wind-stress-curl-driven upwelling) were reminiscent of the SST trend, highlighting the significant role of the upwelling mechanism in the SST budget and trend across the Red Sea. The positive phase of the RSD aligns with periods of stronger Toker Jet activity, reinforcing cold SST anomalies in the southern Red Sea due to enhanced upwelling-induced cooling. However, the impacts of wind-driven upwelling on local SST differ from region to region, highlighting the need to employ a high-resolution wind dataset in the simulation of SST across the Red Sea. Overall, our findings offer insights into the complex mechanisms and factors influencing SST variability in the Red Sea, thereby contributing to improving coastal zone management and environmental planning efforts. Seasonal and annual mean WSCD upwelling (colour shaded; m/day) during the positive (upper panels) and negative (lower panels) phases of the Red Sea Dipole (RSD) for the period 2008–2020. • The northern and western regions showed a more rapid SST warming. • Shallow areas experienced higher rates of SST increase, potentially affecting coral reef ecosystems. • The spatial variability of SST trends is linked to the positive mode of the RSD. • Higher WSCD along the eastern Red Sea leads to active upwelling and reduced warming rates. • Upwelling mechanisms are more complex in the southern Red Sea, leading to heterogeneous SST trends.

Journal of Marine SystemsVol. 249
Consejo Superior de Investigaciones Científicas (ES), Cairo University (EG), Mansoura University (EG), South Valley University (EG), Tanta University (EG), Leibniz Institute for Baltic Sea Research Warnemünde (DE), National Research Institute of Astronomy and Geophysics (EG), Instituto Pirenaico de Ecología (ES), New Valley University, King Abdullah University of Science and Technology (SA)
Life below water
Openalex Percentile: Top 89%
Oceanographic and Atmospheric Processes
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.