Antarctic snow melt detection based on the synergy of SSM/I and QuikSCAT
Antarctic snow melt detection based on the synergy of SSM/I and QuikSCAT
复制标题
基于SSM/I和QuikSCAT协同的南极融雪探测
DOI：
10.1017/s0954102017000268
复制
发表时间：
2017-07
影响因子：
1.6
通讯作者：
Zhang Lu
中科院分区：
文献类型：
--
作者：
Li Xinwu;Wang Xingdong;Wang Cheng;Zhang Lu
摘要微波辐射计SSM/I(特种传感器微波成像仪)数据和散射计QuikSCAT(快速散射仪)数据因其对雪中液态水的敏感性而被广泛用于近地表融雪检测。SSM/I数据可靠性高，QuikSCAT数据空间分辨率高。为了提高南极近地表融雪探测的精度，我们提出了一种基于SSM/I和QuikSCAT数据协同的新方法，即融雪物理模型融合了两者的优势互补。通过与三个自动气象站的温度数据对比，该算法提高了融雪检测的准确率。该算法还可以应用于其他地区，这将提供进一步的证据支持其使用，并提供更多数据来记录由于全球气候变化而导致的南极变化。
Abstract Microwave radiometer SSM/I (Special Sensor Microwave Imager) data and scatterometer QuikSCAT (Quick Scatterometer) data have been widely used for near-surface snow melt detection based on their sensitivity to liquid water present in snow. The SSM/I data have high reliability and the QuikSCAT data have high spatial resolution. In order to improve the accuracy of Antarctic near-surface snow melt detection, we propose a new method based on the synergy of SSM/I and QuikSCAT data, i.e. the snow melt physical model incorporates the complementary advantages of both datasets. Based on comparisons with temperature data from three automatic weather stations, the proposed algorithm improved the accuracy of snow melt detection. The algorithm could also be applied to other regions, which would provide further evidence to support its use and additional data to document changes in the Antarctic due to global climate change.
登录
查看更多内容
影响因子：
8.2
作者：
L. Kunz;D. Long
通讯作者：
L. Kunz;D. Long
影响因子：
3.2
作者：
Florent Dupont;A. Royer;A. Langlois;A. Gressent;G. Picard;M. Fily;P. Cliche;M. Chum
通讯作者：
Florent Dupont;A. Royer;A. Langlois;A. Gressent;G. Picard;M. Fily;P. Cliche;M. Chum
影响因子：
1.6
作者：
S. Oza
通讯作者：
S. Oza
影响因子：
3.4
作者：
J. Foster;D. Hall;J. Eylander;G. Riggs;S. Nghiem;M. Tedesco;Edward J. Kim;P. Montesano;R. Kelly-R.-Kel
通讯作者：
J. Foster;D. Hall;J. Eylander;G. Riggs;S. Nghiem;M. Tedesco;Edward J. Kim;P. Montesano;R. Kelly-R.-Kel
影响因子：
3.4
作者：
S. Nghiem;K. Steffen;R. Kwok;W. Tsai
通讯作者：
S. Nghiem;K. Steffen;R. Kwok;W. Tsai