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DOI | 10.1016/j.rse.2020.111835 |
Enhanced winter snowmelt in the Antarctic Peninsula: Automatic snowmelt identification from radar scatterometer | |
Zheng L.; Zhou C.; Wang K. | |
发表日期 | 2020 |
ISSN | 00344257 |
卷号 | 246 |
英文摘要 | Surface snowmelt affects the energy balance through melt-albedo feedback and may endanger the ice shelves in the Antarctic Peninsula (AP) through hydrofracture. Here, we introduce an automatic snowmelt identification algorithm based on Quick Scatterometer and Advanced Scatterometer. The proposed method can provide self-adaptive thresholds for snowmelt detection based on Rosin thresholding, and is able to detect weak melt signals with a wavelet denoising procedure. Results suggest the AP surface snowmelt has slightly declined during 1999–2018 in the context of recent cooling. However, winter melt index (i.e., melt days times the area of melting) has significantly increased (above the 99% confidence level) with a rate of 83% decade−1. Unprecedented winter snowmelt was found in 2015/2016 when about one-third of the AP experienced snowmelt in late May. This may be attributed to the intrusions of marine air and the enhanced föhn-driven warming resulted from the abnormal northwesterly flow driven by a significant deepening of the Amundsen Sea Low. © 2020 Elsevier Inc. |
英文关键词 | Antarctic Peninsula; Rosin thresholding; Scatterometer; Wavelet denoising; Winter snowmelt |
语种 | 英语 |
scopus关键词 | Meteorological instruments; Pattern recognition systems; Adaptive thresholds; Albedo feedbacks; Antarctic Peninsula; Confidence levels; Hydro-fracture; Identification algorithms; Scatterometers; Wavelet denoising; Snow melting systems; albedo; algorithm; automation; climate feedback; energy balance; identification method; signal-to-noise ratio; snowmelt; threshold; winter; Amundsen Sea; Antarctic Peninsula; Antarctica; Southern Ocean; West Antarctica |
来源期刊 | Remote Sensing of Environment |
文献类型 | 期刊论文 |
条目标识符 | http://gcip.llas.ac.cn/handle/2XKMVOVA/179300 |
作者单位 | School of Geospatial Engineering and Science, Sun Yat-Sen University, Guangzhou, 510275, China; Chinese Antarctic Center of Surveying and Mapping, Wuhan University, Wuhan, China; Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai), Zhuhai, 519082, China; School of Geographic Sciences, East China Normal University, Shanghai, 200241, China |
推荐引用方式 GB/T 7714 | Zheng L.,Zhou C.,Wang K.. Enhanced winter snowmelt in the Antarctic Peninsula: Automatic snowmelt identification from radar scatterometer[J],2020,246. |
APA | Zheng L.,Zhou C.,&Wang K..(2020).Enhanced winter snowmelt in the Antarctic Peninsula: Automatic snowmelt identification from radar scatterometer.Remote Sensing of Environment,246. |
MLA | Zheng L.,et al."Enhanced winter snowmelt in the Antarctic Peninsula: Automatic snowmelt identification from radar scatterometer".Remote Sensing of Environment 246(2020). |
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