Downscaling of ESA CCI soil moisture in Taihu Lake Basin: are wetness conditions and non-linearity important?
文献类型：期刊论文
| 作者 | Liu, Ya1,2; Zhu, Qing1,2; Liao, Kaihua1,2; Lai, Xiaoming1,2; Wang, Junbang3
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| 刊名 | JOURNAL OF WATER AND CLIMATE CHANGE
 |
| 出版日期 | 2021-08-01 |
| 卷号 | 12期号:5页码:1564-1579 |
| 关键词 | remote sensing soil hydrology soil moisture Taihu Lake Basin watershed |
| ISSN号 | 2040-2244 |
| DOI | 10.2166/wcc.2020.131 |
| 通讯作者 | Zhu, Qing(qzhu@niglas.ac.cn) |
| 英文摘要 | The coarse spatial resolutions of satellite-based soil moisture (SM) products restrict their applications at smaller spatial scales. In this study, the monthly European Space Agency Climate Change Initiative SM data (ESA CCI SM) from 2000 to 2016 was downscaled from 25- to 1-km resolution in the Taihu Lake Basin, a typical humid area with complex terrain and land uses. The normalized difference vegetation index (NDVI) and land surface temperature (LST) were used as auxiliary data. The regional monthly mean ESA CCI SM values were classified into low value (0.24-0.30 m(3)m(-3)), mid-value (0.30-0.33 m(3)m(-3)) and high value (0.33-0.39 m(3)m(-3)) months by the K-means clustering algorithm. The linear (multiple linear regression) and non-linear (support vector machine) downscaling models were compared. In addition, whether building downscaling models based on wetness conditions could improve the accuracies was tested. Results showed that without considering wetness conditions, the linear method was slightly better than the non-linear method. However, linear models constructed based on wetness conditions performed the best, which demonstrated that wetness conditions should be considered in the downscaling process. Results of this study would improve the accuracies in downscaling satellite-based SM data, facilitating their applications at regional scales. |
| WOS关键词 | AMSR-E ; HYDRAULIC PARAMETERS ; HIGH-RESOLUTION ; SATELLITE ; PRODUCTS ; CHINA ; TEMPERATURE ; VALIDATION ; RETRIEVAL ; PATTERNS |
| WOS研究方向 | Water Resources |
| 语种 | 英语 |
| WOS记录号 | WOS:000691092100015 |
| 出版者 | IWA PUBLISHING |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/164920]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Zhu, Qing |
| 作者单位 | 1.Univ Chinese Acad Sci, Beijing 100049, Peoples R China 2.Chinese Acad Sci, Nanjing Inst Geog & Limnol, Key Lab Watershed Geog Sci, Nanjing 210008, Peoples R China 3.Chinese Acad Sci, Inst Geog Sci & Nat Resources, Key Lab Ecosyst Network Observat & Modeling, Beijing 100101, Peoples R China |
| 推荐引用方式 GB/T 7714 | Liu, Ya,Zhu, Qing,Liao, Kaihua,et al. Downscaling of ESA CCI soil moisture in Taihu Lake Basin: are wetness conditions and non-linearity important?[J]. JOURNAL OF WATER AND CLIMATE CHANGE,2021,12(5):1564-1579. |
| APA | Liu, Ya,Zhu, Qing,Liao, Kaihua,Lai, Xiaoming,&Wang, Junbang.(2021).Downscaling of ESA CCI soil moisture in Taihu Lake Basin: are wetness conditions and non-linearity important?.JOURNAL OF WATER AND CLIMATE CHANGE,12(5),1564-1579. |
| MLA | Liu, Ya,et al."Downscaling of ESA CCI soil moisture in Taihu Lake Basin: are wetness conditions and non-linearity important?".JOURNAL OF WATER AND CLIMATE CHANGE 12.5(2021):1564-1579. |
入库方式： OAI收割
来源：地理科学与资源研究所
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