Arid
DOI10.5194/hess-24-4659-2020
Estimation of subsurface soil moisture from surface soil moisture in cold mountainous areas
Tian, Jie; Han, Zhibo; Bogena, Heye Reemt; Huisman, Johan Alexander; Montzka, Carsten; Zhang, Baoqing; He, Chansheng
通讯作者Zhang, BQ ; He, CS
来源期刊HYDROLOGY AND EARTH SYSTEM SCIENCES
ISSN1027-5606
EISSN1607-7938
出版年2020
卷号24期号:9页码:4659-4674
英文摘要Profile soil moisture (SM) in mountainous areas is important for water resource management and ecohydrological studies of downstream arid watersheds. Satellite products are useful for providing spatially distributed SM information but only have limited penetration depth (e.g., top 5 cm). In contrast, in situ observations can provide measurements at several depths, but only with limited spatial coverage. Spatially continuous estimates of subsurface SM can be obtained from surface observations using multiple methods. This study evaluates methods to calculate subsurface SM from surface SM and its application to satellite SM products, based on a SM observation network in the Qilian Mountains (China) that has operated since 2013. Three different methods were tested to estimate subsurface SM at 10 to 20, 20 to 30, 30 to 50, and 50 to 70 cm, and, in a profile of 0 to 70 cm, from in situ surface SM (0 to 10 cm): the exponential filter (ExpF), the artificial neural network (ANN), and the cumulative distribution function (CDF) matching methods. The ANN method had the lowest estimation errors (RSR), while the ExpF method best captured the temporal variation of subsurface soil moisture; the CDF method is not recommended for the estimation. Meanwhile the ExpF method was able to provide accurate estimates of subsurface soil moisture at 10 to 20 cm and for the profile of 0 to 70 cm using surface (0 to 10 cm) soil moisture only. Furthermore, it was shown that the estimation of profile SM was not significantly worse when an area-generalized optimum characteristic time (Topt) was used instead of station-specific Topt for the Qilian Mountains. The ExpF method was applied to obtain profile SM from the SMAP_L3 surface soil moisture product, and the resulting profile SM was compared with in situ observations. The ExpF method was able to estimate profile SM from SMAP_L3 surface data with reasonable accuracy (median R of 0.65). Also, the combination of the ExpF method and SMAP_L3 surface product can significantly improve the estimation of profile SM in mountainous areas compared to the SMAP_L4 root zone product. The ExpF method is useful and has potential for estimating profile SM from SMAP surface products in the Qilian Mountains.
类型Article
语种英语
开放获取类型Green Submitted, gold
收录类别SCI-E
WOS记录号WOS:000575790400001
WOS关键词LAND DATA ASSIMILATION ; ROOT-ZONE ; NEAR-SURFACE ; OBSERVATION OPERATORS ; EXPONENTIAL FILTER ; ERS SCATTEROMETER ; TIBETAN PLATEAU ; MODEL ; VARIABILITY ; PRODUCTS
WOS类目Geosciences, Multidisciplinary ; Water Resources
WOS研究方向Geology ; Water Resources
来源机构兰州大学
资源类型期刊论文
条目标识符http://119.78.100.177/qdio/handle/2XILL650/326657
作者单位[Tian, Jie; Han, Zhibo; Zhang, Baoqing; He, Chansheng] Lanzhou Univ, Coll Earth & Environm Sci, Minist Educ, Key Lab Western Chinas Environm Syst, Lanzhou 730000, Gansu, Peoples R China; [Tian, Jie; Bogena, Heye Reemt; Huisman, Johan Alexander; Montzka, Carsten] Forschungszentrum Julich, Agrosphere Inst IBG 3, D-52425 Julich, Germany; [He, Chansheng] Western Michigan Univ, Dept Geog, Kalamazoo, MI 49008 USA
推荐引用方式
GB/T 7714
Tian, Jie,Han, Zhibo,Bogena, Heye Reemt,et al. Estimation of subsurface soil moisture from surface soil moisture in cold mountainous areas[J]. 兰州大学,2020,24(9):4659-4674.
APA Tian, Jie.,Han, Zhibo.,Bogena, Heye Reemt.,Huisman, Johan Alexander.,Montzka, Carsten.,...&He, Chansheng.(2020).Estimation of subsurface soil moisture from surface soil moisture in cold mountainous areas.HYDROLOGY AND EARTH SYSTEM SCIENCES,24(9),4659-4674.
MLA Tian, Jie,et al."Estimation of subsurface soil moisture from surface soil moisture in cold mountainous areas".HYDROLOGY AND EARTH SYSTEM SCIENCES 24.9(2020):4659-4674.
条目包含的文件
条目无相关文件。
个性服务
推荐该条目
保存到收藏夹
导出为Endnote文件
谷歌学术
谷歌学术中相似的文章
[Tian, Jie]的文章
[Han, Zhibo]的文章
[Bogena, Heye Reemt]的文章
百度学术
百度学术中相似的文章
[Tian, Jie]的文章
[Han, Zhibo]的文章
[Bogena, Heye Reemt]的文章
必应学术
必应学术中相似的文章
[Tian, Jie]的文章
[Han, Zhibo]的文章
[Bogena, Heye Reemt]的文章
相关权益政策
暂无数据
收藏/分享

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。