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| DOI | 10.1016/j.jhydrol.2015.01.061 |
| Inter-comparison of spatial upscaling methods for evaluation of satellite-based soil moisture | |
| Qin, Jun; Zhao, Long; Chen, Yingying; Yang, Kun; Yang, Yaping; Chen, Zhuoqi; Lu, Hui | |
| 通讯作者 | Qin, J (通讯作者) |
| 发表日期 | 2015 |
| ISSN | 0022-1694 |
| EISSN | 1879-2707 |
| 起始页码 | 170 |
| 结束页码 | 178 |
| 卷号 | 523 |
| 英文摘要 | Soil moisture is a key factor in energy and water cycles. Many satellite missions have been planned and implemented for retrieving soil moisture globally. Because the spatial representativeness of a point-scale soil moisture station is rather limited, a station network needs setting up for scale-matching validation of satellite-based soil moisture products. Even so, an upscaling procedure is needed to upscale these station soil moisture values into area-wide one. However, such a procedure itself introduces uncertainties into the upscaled soil moisture. In this study, four upscaling methods (simple average, block kriging, model-based, and apparent-thermal-inertia-based) are inter-compared according to their performance stability for evaluation of soil moisture estimated by assimilating microwave signals into a land surface model. It is found that the performance of the model-based upscaling approach is the most unstable because model simulations are full of uncertainties for representing spatial variability of soil moisture. The block kriging upscaling method performs not worse than the simple averaging approach; the former may generate more representative soil moisture if the range of the soil moisture semivariogram used in the block kriging is comparable to the extent of a satellite footprint. The apparent-thermal-inertia-based upscaling is the most stable one, which has been developed with the aid of high-resolution satellite thermal data. All analyses indicate that choosing a suitable upscaling approach is important for the effective evaluation of satellite-based soil moisture. Otherwise, uncertainties hiding in the upscaling method will be incorrectly attributed to errors in satellite products, undermining our confidence in implementing them into practice. (C) 2015 Elsevier B.V. All rights reserved. |
| 关键词 | LAND DATA ASSIMILATIONSURFACE MODELVALIDATIONRETRIEVALNETWORKS |
| 英文关键词 | Satellite; Soil moisture; Evaluation; Upscaling; MODIS |
| 语种 | 英语 |
| WOS研究方向 | Engineering ; Geology ; Water Resources |
| WOS类目 | Engineering, Civil ; Geosciences, Multidisciplinary ; Water Resources |
| WOS记录号 | WOS:000351971700016 |
| 来源期刊 | JOURNAL OF HYDROLOGY
 |
| 来源机构 | 中国科学院青藏高原研究所 |
| 文献类型 | 期刊论文 |
| 条目标识符 | http://gcip.llas.ac.cn/handle/2XKMVOVA/258531 |
| 推荐引用方式 GB/T 7714 | Qin, Jun,Zhao, Long,Chen, Yingying,et al. Inter-comparison of spatial upscaling methods for evaluation of satellite-based soil moisture[J]. 中国科学院青藏高原研究所,2015,523. |
| APA | Qin, Jun.,Zhao, Long.,Chen, Yingying.,Yang, Kun.,Yang, Yaping.,...&Lu, Hui.(2015).Inter-comparison of spatial upscaling methods for evaluation of satellite-based soil moisture.JOURNAL OF HYDROLOGY,523. |
| MLA | Qin, Jun,et al."Inter-comparison of spatial upscaling methods for evaluation of satellite-based soil moisture".JOURNAL OF HYDROLOGY 523(2015). |
| 条目包含的文件 | 条目无相关文件。 | |||||
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