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Article

First Analyses of the TIMELINE AVHRR SST Product: Long-Term Trends of Sea Surface Temperature at 1 km Resolution across European Coastal Zones

1
German Remote Sensing Data Center (DFD), German Aerospace Center (DLR), 82234 Wessling, Germany
2
Working Group Earth Observation, Institute of Geography and Geology, University of Würzburg, 97074 Würzburg, Germany
*
Author to whom correspondence should be addressed.
Remote Sens. 2024, 16(11), 1932; https://doi.org/10.3390/rs16111932
Submission received: 12 March 2024 / Revised: 16 May 2024 / Accepted: 22 May 2024 / Published: 27 May 2024

Abstract

Coastal areas are among the most productive areas in the world, ecologically as well as economically. Sea Surface Temperature (SST) has evolved as the major essential climate variable (ECV) and ocean variable (EOV) to monitor land–ocean interactions and oceanic warming trends. SST monitoring can be achieved by means of remote sensing. The current relatively coarse spatial resolution of established SST products limits their potential in small-scale, coastal zones. This study presents the first analysis of the TIMELINE 1 km SST product from AVHRR in four key European regions: The Northern and Baltic Sea, the Adriatic Sea, the Aegean Sea, and the Balearic Sea. The analysis of monthly anomaly trends showed high positive SST trends in all study areas, exceeding the global average SST warming. Seasonal variations reveal peak warming during the spring, early summer, and early autumn, suggesting a potential seasonal shift. The spatial analysis of the monthly anomaly trends revealed significantly higher trends at near-coast areas, which were especially distinct in the Mediterranean study areas. The clearest pattern was visible in the Adriatic Sea in March and May, where the SST trends at the coast were twice as high as that observed at a 40 km distance to the coast. To validate our findings, we compared the TIMELINE monthly anomaly time series with monthly anomalies derived from the Level 4 CCI SST anomaly product. The comparison showed an overall good accordance with correlation coefficients of R > 0.82 for the Mediterranean study areas and R = 0.77 for the North and Baltic Seas. This study highlights the potential of AVHRR Local Area Coverage (LAC) data with 1 km spatial resolution for mapping long-term SST trends in areas with high spatial SST variability, such as coastal regions.
Keywords: sea surface temperature; climate change; global warming; coastal areas; AVHRR; time series; Europe; remote sensing; TIMELINE sea surface temperature; climate change; global warming; coastal areas; AVHRR; time series; Europe; remote sensing; TIMELINE

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MDPI and ACS Style

Reiners, P.; Obrecht, L.; Dietz, A.; Holzwarth, S.; Kuenzer, C. First Analyses of the TIMELINE AVHRR SST Product: Long-Term Trends of Sea Surface Temperature at 1 km Resolution across European Coastal Zones. Remote Sens. 2024, 16, 1932. https://doi.org/10.3390/rs16111932

AMA Style

Reiners P, Obrecht L, Dietz A, Holzwarth S, Kuenzer C. First Analyses of the TIMELINE AVHRR SST Product: Long-Term Trends of Sea Surface Temperature at 1 km Resolution across European Coastal Zones. Remote Sensing. 2024; 16(11):1932. https://doi.org/10.3390/rs16111932

Chicago/Turabian Style

Reiners, Philipp, Laura Obrecht, Andreas Dietz, Stefanie Holzwarth, and Claudia Kuenzer. 2024. "First Analyses of the TIMELINE AVHRR SST Product: Long-Term Trends of Sea Surface Temperature at 1 km Resolution across European Coastal Zones" Remote Sensing 16, no. 11: 1932. https://doi.org/10.3390/rs16111932

APA Style

Reiners, P., Obrecht, L., Dietz, A., Holzwarth, S., & Kuenzer, C. (2024). First Analyses of the TIMELINE AVHRR SST Product: Long-Term Trends of Sea Surface Temperature at 1 km Resolution across European Coastal Zones. Remote Sensing, 16(11), 1932. https://doi.org/10.3390/rs16111932

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