Evaluation of snow cover and snow depth on the Qinghai-Tibetan Plateau derived from passive microwave remote sensing
文献类型：期刊论文
| 作者 | Dai, Liyun1,2; Che, Tao1,3; Ding, Yongjian4; Hao, Xiaohua1 |
| 刊名 | CRYOSPHERE
 |
| 出版日期 | 2017-08-23 |
| 卷号 | 11期号:4页码:1933-1948 |
| ISSN号 | 1994-0416 |
| DOI | 10.5194/tc-11-1933-2017 |
| 通讯作者 | Che, Tao(chetao@lzb.ac.cn) |
| 英文摘要 | Snow cover on the Qinghai-Tibetan Plateau (QTP) plays a significant role in the global climate system and is an important water resource for rivers in the high-elevation region of Asia. At present, passive microwave (PMW) remote sensing data are the only efficient way to monitor temporal and spatial variations in snow depth at large scale. However, existing snow depth products show the largest uncertainties across the QTP. In this study, MODIS fractional snow cover product, point, line and intense sampling data are synthesized to evaluate the accuracy of snow cover and snow depth derived from PMW remote sensing data and to analyze the possible causes of uncertainties. The results show that the accuracy of snow cover extents varies spatially and depends on the fraction of snow cover. Based on the assumption that grids with MODIS snow cover fraction >10% are regarded as snow cover, the overall accuracy in snow cover is 66.7 %, overestimation error is 56.1 %, underestimation error is 21.1 %, commission error is 27.6 % and omission error is 47.4 %. The commission and overestimation errors of snow cover primarily occur in the northwest and southeast areas with low ground temperature. Omission error primarily occurs in cold desert areas with shallow snow, and underestimation error mainly occurs in glacier and lake areas. With the increase of snow cover fraction, the overestimation error decreases and the omission error increases. A comparison between snow depths measured in field experiments, measured at meteorological stations and estimated across the QTP shows that agreement between observation and retrieval improves with an increasing number of observation points in a PMW grid. The misclassification and errors between observed and retrieved snow depth are associated with the relatively coarse resolution of PMW remote sensing, ground temperature, snow characteristics and topography. To accurately understand the variation in snow depth across the QTP, new algorithms should be developed to retrieve snow depth with higher spatial resolution and should consider the variation in brightness temperatures at different frequencies emitted from ground with changing ground features. |
| 收录类别 | SCI |
| WOS关键词 | ASIAN SUMMER MONSOON ; WATER EQUIVALENT ; AMSR-E ; SEASONAL SNOW ; RIVER-BASIN ; CHINA ; MODIS ; ALGORITHM ; MODEL ; RADIOMETER |
| WOS研究方向 | Physical Geography ; Geology |
| WOS类目 | Geography, Physical ; Geosciences, Multidisciplinary |
| 语种 | 英语 |
| WOS记录号 | WOS:000408230900001 |
| 出版者 | COPERNICUS GESELLSCHAFT MBH |
| URI标识 | http://www.irgrid.ac.cn/handle/1471x/2557667 |
| 专题 | 寒区旱区环境与工程研究所 |
| 通讯作者 | Che, Tao |
| 作者单位 | 1.Chinese Acad Sci, Cold & Arid Reg Environm & Engn Res Inst, Key Lab Remote Sensing Gansu Prov, Heihe Remote Sensing Expt Res Stn, Lanzhou 730000, Gansu, Peoples R China 2.Jiangsu Ctr Collaborat Innovat Geog Informat Reso, Nanjing 21003, Jiangsu, Peoples R China 3.Chinese Acad Sci, Ctr Excellence Tibetan Plateau Earth Sci, Beijing 100101, Peoples R China 4.Chinese Acad Sci, Cold & Arid Reg Environm & Engn Res Inst, State Key Lab Cryospher Sci, Lanzhou 730000, Gansu, Peoples R China |
| 推荐引用方式 GB/T 7714 | Dai, Liyun,Che, Tao,Ding, Yongjian,et al. Evaluation of snow cover and snow depth on the Qinghai-Tibetan Plateau derived from passive microwave remote sensing[J]. CRYOSPHERE,2017,11(4):1933-1948. |
| APA | Dai, Liyun,Che, Tao,Ding, Yongjian,&Hao, Xiaohua.(2017).Evaluation of snow cover and snow depth on the Qinghai-Tibetan Plateau derived from passive microwave remote sensing.CRYOSPHERE,11(4),1933-1948. |
| MLA | Dai, Liyun,et al."Evaluation of snow cover and snow depth on the Qinghai-Tibetan Plateau derived from passive microwave remote sensing".CRYOSPHERE 11.4(2017):1933-1948. |
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来源：寒区旱区环境与工程研究所
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