Investigating High-Resolution Spatial Wave Patterns on the Canadian Beaufort Shelf Using Synthetic Aperture Radar Imagery at Herschel Island, Qikiqtaruk, Yukon, Canada

被引:1
|
作者
Brembach, Kerstin [1 ,2 ]
Pleskachevsky, Andrey [3 ]
Lantuit, Hugues [1 ,4 ]
机构
[1] Helmholtz Ctr Polar & Marine Res, Alfred Wegener Inst, Dept Permafrost Res, D-14473 Potsdam, Germany
[2] Univ Kiel, Inst Geog, D-24118 Kiel, Germany
[3] German Aerosp Ctr DLR, Maritime Safety & Secur Lab Bremen, Fallturm 9, D-28359 Bremen, Germany
[4] Univ Potsdam, Inst Geosci, D-14476 Potsdam, Germany
关键词
SAR; remote sensing; significant wave height; Arctic Ocean; nearshore; TerraSAR-X; TanDEM-X; SEA-STATE; ICE; OCEAN; VARIABILITY; EROSION; HEIGHT; SEDIMENTATION; TERRITORY; CLIMATE; TRENDS;
D O I
10.3390/rs15194753
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
The Arctic is experiencing the greatest increase in air temperature on Earth. This significant climatic change is leading to a significant positive trend of increasing wave heights and greater coastal erosion. This in turn effects local economies and ecosystems. Increasing wave energy is one of the main drivers of this alarming trend. However, the data on spatial and temporal patterns of wave heights in the Arctic are either coarse, interpolated or limited to point measurements. The aim of this study is to overcome this shortcoming by using remote sensing data. In this study, the Synthetic Aperture Radar (SAR) satellite TerraSAR-X (TS-X) and TanDEM-X (TD-X) imagery are used to obtain sea state information with a high spatial resolution in Arctic nearshore waters in the Canadian Beaufort Sea. From the entire archive of the TS-X/TD-X StripMap mode with coverage around 30 km x 50 km acquired between 2009 and 2020 around Herschel Island, Qikiqtaruk (HIQ), all the ice-free scenes were processed. The resulting dataset of 175 collocated scenes was used to map the significant wave height (Hs) and to link spatial and temporal patterns to local coastal processes. Sea state parameters are estimated in raster format with a 600 m step using the empirical algorithm CWAVE_EX. The statistics of the Hs were aggregated according to spatial variability, seasonality and wind conditions. The results show that the spatial wave climate is clearly related to the dominant wind regime and seasonality. For instance, the aggregation of all the scenes recorded in July between 2009 and 2020 results in an average of 0.82 m Hs, while in October the average Hs is almost 0.40 m higher. The analysis by wind direction shows that fetch length and wind speed are likely the most important variables influencing the spatial variability. A larger fetch under NW conditions results in a mean wave height of 0.92 m, while waves generated under ESE conditions are lower at 0.81 m on average.
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页数:28
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