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DOI | 10.3390/rs11080977 |
Development of a Snow Depth Estimation Algorithm over China for the FY-3D/MWRI | |
Yang, Jianwei1,2; Jiang, Lingmei1,2; Wu, Shengli3; Wang, Gongxue1,2; Wang, Jian1,2; Liu, Xiaojing1,2 | |
发表日期 | 2019 |
ISSN | 2072-4292 |
卷号 | 11期号:8 |
英文摘要 | Launched on 15 November 2017, China's FengYun-3D (FY-3D) has taken over prime operational weather service from the aging FengYun-3B (FY-3B). Rather than directly implementing an FY-3B operational snow depth retrieval algorithm on FY-3D, we investigated this and four other well-known snow depth algorithms with respect to regional uncertainties in China. Applicable to various passive microwave sensors, these four snow depth algorithms are the Environmental and Ecological Science Data Centre of Western China (WESTDC) algorithm, the Advanced Microwave Scanning Radiometer for Earth Observing System (AMSR-E) algorithm, the Chang algorithm, and the Foster algorithm. Among these algorithms, validation results indicate that FY-3B and WESTDC perform better than the others. However, these two algorithms often result in considerable underestimation for deep snowpack (greater than 20 cm), while the other three persistently overestimate snow depth, probably because of their poor representation of snowpack characteristics in China. To overcome the retrieval errors that occur under deep snowpack conditions without sacrificing performance under relatively thin snowpack conditions, we developed an empirical snow depth retrieval algorithm suite for the FY-3D satellite. Independent evaluation using weather station observations in 2014 and 2015 demonstrates that the FY-3D snow depth algorithm's root mean square error (RMSE) and bias are 6.6 cm and 0.2 cm, respectively, and it has advantages over other similar algorithms. |
WOS研究方向 | Remote Sensing |
来源期刊 | REMOTE SENSING
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文献类型 | 期刊论文 |
条目标识符 | http://gcip.llas.ac.cn/handle/2XKMVOVA/96274 |
作者单位 | 1.Beijing Normal Univ, State Key Lab Remote Sensing Sci, Beijing 100875, Peoples R China; 2.Beijing Normal Univ, State Key Lab Remote Sensing Sci, Inst Remote Sensing & Digital Earth,Chinese Acad, Fac Geog Sci,Beijing Engn Res Ctr Global Land Rem, Beijing 100875, Peoples R China; 3.China Meteorol Adm, Natl Satellite Meteorol Ctr, Beijing 100081, Peoples R China |
推荐引用方式 GB/T 7714 | Yang, Jianwei,Jiang, Lingmei,Wu, Shengli,et al. Development of a Snow Depth Estimation Algorithm over China for the FY-3D/MWRI[J],2019,11(8). |
APA | Yang, Jianwei,Jiang, Lingmei,Wu, Shengli,Wang, Gongxue,Wang, Jian,&Liu, Xiaojing.(2019).Development of a Snow Depth Estimation Algorithm over China for the FY-3D/MWRI.REMOTE SENSING,11(8). |
MLA | Yang, Jianwei,et al."Development of a Snow Depth Estimation Algorithm over China for the FY-3D/MWRI".REMOTE SENSING 11.8(2019). |
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