IGSNRR OpenIR
Validation of ECMWF Multi-Layer Reanalysis Soil Moisture Based on the OzNet Hydrology Network
Jing, Wenlong1,2,3; Song, Jia4,5; Zhao, Xiaodan1,2,3
2018-09-01
Source PublicationWATER
ISSN2073-4441
Volume10Issue:9Pages:18
Corresponding AuthorSong, Jia(songj@igsnrr.ac.cn)
AbstractSoil moisture reanalysis products can provide soil water information for the surface and root zone soil layers, which are significant for understanding the water cycle and climate change. However, the accuracy of multi-layer soil moisture datasets obtained from reanalysis products remains unclear in some areas. In this study, we evaluated the root zone soil moisture of the ERA-Interim soil moisture product, as well as the surface soil moisture based on in situ measurements from the OzNet hydrological measurement network over southeast Australia. In general, the ERA-Interim soil moisture product presents good agreement with in situ soil moisture values and can nicely reflect time variations, with correlation coefficient (R) values in the range of 0.73 to 0.84 and unbiased root mean square difference (ubRMSD) values from 0.035 m(3) m( -3) to 0.060 m(3) m( -3). Although the ERA-Interim soil moisture also can reflect temporal dynamics of soil moisture at root zone layer at depths of 28-100 cm, low correlations were found in winter. In addition, the ERA-Interim soil moisture product overestimates in situ measurements at depths of 0-7 cm and 7-28 cm, whereas the product shows underestimated values compared with in situ soil moisture at the root zone of 28-100 cm. Consequently, the ERA-Interim soil moisture product has both high absolute and temporal accuracy at depths of 7-28 cm, and the ERA-Interim soil moisture product can nicely capture temporal dynamics at all the evaluated soil level depths, except for the depth of 28-100 cm during the winter months. The contributions of terrain, vegetation cover, and soil texture to the model error were addressed by feature importance estimations using the random forest (RF) algorithm. Results indicate that terrain features may have an impact on the model errors. It is clear that the accuracy of the ERA-Interim soil moisture can be improved by adjusting the assimilation scheme, and the results of this study are expected to provide a comprehensive understanding of the model errors and references for optimizing the model.
Keywordsoil moisture ERA-Interim OzNet validation
DOI10.3390/w10091123
WOS KeywordIN-SITU OBSERVATIONS ; TIBETAN PLATEAU ; PRODUCTS ; SURFACE ; PRECIPITATION ; SATELLITE ; MODEL ; RETRIEVAL ; REGIONS ; TREND
Indexed BySCI
Language英语
Funding ProjectNational Natural Science Foundation of China[41801362] ; National Natural Science Foundation of China[41771380] ; Natural Science Foundation of Guangdong Province, China[2018A030310470] ; GDAS' Project of Science and Technology Development[2017GDASCX-0101] ; GDAS' Project of Science and Technology Development[2018GDASCX-0904] ; Guangdong Innovative and Entrepreneurial Research Team Program[2016ZT06D336] ; 13th Five-year Informatization Plan of Chinese Academy of Sciences[XXH13503-07] ; State Key Laboratory of Resources and Environmental Information System[O88RA20CYA] ; National Earth System Science Data Sharing Infrastructure
Funding OrganizationNational Natural Science Foundation of China ; Natural Science Foundation of Guangdong Province, China ; GDAS' Project of Science and Technology Development ; Guangdong Innovative and Entrepreneurial Research Team Program ; 13th Five-year Informatization Plan of Chinese Academy of Sciences ; State Key Laboratory of Resources and Environmental Information System ; National Earth System Science Data Sharing Infrastructure
WOS Research AreaWater Resources
WOS SubjectWater Resources
WOS IDWOS:000448821900015
PublisherMDPI
Citation statistics
Document Type期刊论文
Identifierhttp://ir.igsnrr.ac.cn/handle/311030/52569
Collection中国科学院地理科学与资源研究所
Corresponding AuthorSong, Jia
Affiliation1.Guangzhou Inst Geog, Guangzhou 510000, Guangdong, Peoples R China
2.Key Lab Guangdong Utilizat Remote Sensing & Geog, Guangzhou 510000, Guangdong, Peoples R China
3.Guangdong Open Lab Geospatial Informat Technol &, Guangzhou 510000, Guangdong, Peoples R China
4.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing 100000, Peoples R China
5.Nanjing Normal Univ, Jiangsu Ctr Collaborat Innovat Geog Informat Reso, Nanjing 210000, Jiangsu, Peoples R China
Recommended Citation
GB/T 7714
Jing, Wenlong,Song, Jia,Zhao, Xiaodan. Validation of ECMWF Multi-Layer Reanalysis Soil Moisture Based on the OzNet Hydrology Network[J]. WATER,2018,10(9):18.
APA Jing, Wenlong,Song, Jia,&Zhao, Xiaodan.(2018).Validation of ECMWF Multi-Layer Reanalysis Soil Moisture Based on the OzNet Hydrology Network.WATER,10(9),18.
MLA Jing, Wenlong,et al."Validation of ECMWF Multi-Layer Reanalysis Soil Moisture Based on the OzNet Hydrology Network".WATER 10.9(2018):18.
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