Pan-Arctic ocean wind and wave data by spaceborne SAR

IF 4.2 3区 地球科学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS Big Earth Data Pub Date : 2021-12-07 DOI:10.1080/20964471.2021.1996858
Xiaoming Li, Ke Wu, Bingqing Huang
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引用次数: 2

Abstract

ABSTRACT The Arctic is one of the most significant changing areas on the Earth under the climate change scenario. More regions in the Arctic are becoming ice-free oceans in the melting season or through the whole year. Therefore, ocean wind and wave, as the two most important parameters in the air–sea interface, are drawing significant attention to the Arctic Ocean. Scatterometer and radar altimeter are the two traditional remote sensing instruments for ocean wind and wave observations, while the former is limited by coarse spatial resolution and the latter has small spatial coverage. Wind and wave data in high spatial resolution and wide coverage by synthetic aperture radar (SAR) are currently lacking in the Arctic Ocean. We developed an ocean wind and wave dataset by Sentinel-1 SAR in the pan-Arctic Ocean (above 60°N), covering January 2017 to May 2021. By comparing with sea surface wind speed data of scatterometer, the SAR-retrieved wind data achieve an accuracy of 1.23 m/s, in terms of root mean square error (RMSE). Compared with significant wave height data of radar altimeter, the SAR retrievals have an RMSE of 0.66 m. The data records are in the standard NetCDF-4 format. The dataset is publicly available at: http://www.dx.doi.org/10.11922/sciencedb.00834.
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星载SAR泛北冰洋风浪数据
在气候变化情景下,北极是地球上变化最显著的地区之一。北极越来越多的地区在融化季节或全年都成为无冰的海洋。因此,海风和海浪作为海气界面中最重要的两个参数,引起了人们对北冰洋的极大关注。散射计和雷达高度计是海洋风浪观测的两种传统遥感仪器,前者空间分辨率较粗,后者空间覆盖范围较小。目前,北冰洋地区缺乏高空间分辨率、大覆盖范围的合成孔径雷达(SAR)风浪资料。我们利用Sentinel-1 SAR在泛北冰洋(60°N以上)开发了2017年1月至2021年5月的海洋风浪数据集。通过与散射计海面风速数据的比较,sar反演风速数据的均方根误差(RMSE)精度为1.23 m/s。与雷达高度计的显著波高数据相比,SAR反演的均方根误差为0.66 m。数据记录采用标准NetCDF-4格式。该数据集可在http://www.dx.doi.org/10.11922/sciencedb.00834公开获取。
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来源期刊
Big Earth Data
Big Earth Data Earth and Planetary Sciences-Computers in Earth Sciences
CiteScore
7.40
自引率
10.00%
发文量
60
审稿时长
10 weeks
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