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Updated: Jan 1, 2026

Test Samples for Optimizing STORM Super-Resolution Microscopy
Published on: September 6, 2013
A Pan-European high resolution storm surge hindcast
T Fernández-Montblanc1, M I Vousdoukas2, L Mentaschi2
1Universitá degli Studi di Ferrara, Department of Physics and Earth Sciences, Via Saragat, 1. 44122 Ferrara, Italy.
A new 40-year European storm surge dataset (ANYEU-SSL) reveals trends and seasonal variations. Storm surges are increasing at higher latitudes (>50°N) and decreasing at lower latitudes, with notable northern seasonal extremes.
Area of Science:
- Oceanography
- Climate Science
- Environmental Modeling
Background:
- Storm surges pose significant risks to coastal communities and infrastructure.
- High-resolution, long-term datasets are crucial for understanding and predicting storm surge phenomena.
Purpose of the Study:
- To present the ANYEU-SSL, a high-resolution, 40-year pan-European storm surge dataset.
- To validate the dataset against observational data and explore potential applications, such as trend analysis.
Main Methods:
- Utilized the SCHISM circulation model to generate storm surge data.
- Validated the dataset against tidal gauge records and satellite altimetry data.
- Analyzed storm surge trends and seasonal variations for the period 1979-2016.
Main Results:
- The ANYEU-SSL dataset covers 40 years (1979-2018) with 3-hour temporal resolution.
- Validation showed strong agreement with tidal gauges (avg. RMSE 0.10 m) and satellite altimetry (avg. RMSE 0.07 m).
- Identified a latitudinal gradient in extreme storm surge trends, with increases north of 50°N and decreases south, alongside significant seasonal variations.
Conclusions:
- The ANYEU-SSL dataset provides a valuable resource for studying storm surge dynamics and impacts.
- Observed trends suggest potential regional changes in storm surge risk due to climate variability.
- The dataset supports scientific research on coastal hazards at various scales.
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