Paper Harvest Report
Date range: May 31, 2026
1 top-tier paper selected out of 3 total publications
Today’s Highlights
The SWOT High-Rate mission unlocks a new observational window for coastal wave dynamics that has long eluded conventional satellite altimetry. Using observations from Storm Mathis over the English Channel, this study demonstrates spaceborne measurement of nearshore wave transformation at sub-kilometric scales, capturing wavelength shortening, directional shifts, and island-induced diffraction signals. These findings validate SWOT HR data as a powerful tool for quantifying wave-bathymetry interactions critical to sediment transport and shoreline evolution.
Table of Contents
Top-Tier Journal Papers
Revealing Coastal Storm‐Wave Transformations From SWOT HR Observation: The English Channel Case Study
Authors: Md Saiful Islam, Emma Imen Turki, Carlos Lopez Solano, Laurent Froideval, Xavier Chartrand, Pascal Matte et al.
Journal: Geophysical Research Letters · DOI: 10.1029/2025gl121115
Matched topics: surface water, coastal
Swell propagation and transformation across variable bathymetry and coastal obstacles fundamentally control nearshore wave energy redistribution, sediment transport, and shoreline evolution. Conventional satellite altimetry cannot adequately resolve these dynamics, particularly refraction and diffraction as swell transition into shallow waters. Leveraging high‐rate (HR) observations from the Surface Water and Ocean Topography (SWOT) mission, we present the first spaceborne measurements of nearshore‐coastal wave transformation at sub‐kilometric scales. SWOT HR observations over the English Channel during Storm Mathis reveal wavelength shortening, directional shift and distinctive fan‐shaped diffraction patterns, including a 27.5° island‐induced diffraction signal undetected by operational models. Comparisons with in situ measurements and the Atlantic‐European Northwest Shelf (NWShelf) Reanalysis, a regional configuration of the WAVEWATCH III spectral wave model, validate the robustness of the SWOT‐derived wave parameters. This finding establishes SWOT HR data as a new observational capability for quantifying wave‐bathymetry interactions and the resultant redistribution of wave energy that conventional altimetry fails to resolve.
Statistics
| Metric | Count |
|---|---|
| Journals searched | 11 |
| Total papers fetched | 3 |
| Passed deterministic filter | 1 |
| After LLM relevance filtering | 1 |
| Rejected (not relevant) | 0 |
| AI for Science items picked | 0 |
Papers by journal
| Journal | Papers |
|---|---|
| Geophysical Research Letters | 1 |
Filtering Criteria
Topics: hydrology, hydrologic model, river, runoff, streamflow, reservoir, water management, flood, drought, seasonal, land surface model, climate change, hydropower, surface water, irrigation, earth system model, estuary, coastal, freshwater discharge, river plume, ocean biogeochemistry, marine heatwave, paleohydrology, paleoclimate, Quaternary, Holocene, Pleistocene, fluvial geomorphology, river terrace, loess, drainage network, river capture, landscape evolution, luminescence dating
Fields: engineering, environmental science, computer science, geology, geography