Comprehensive validation of seven root zone soil moisture products at 1153 ground sites across China
Root zone soil moisture (RZSM) is a critical parameter for drought monitoring, agriculture, and vegetation growth. In situ measurements of RZSM are scarce, and therefore, RZSM products are derived mainly through modeling approaches. This study evaluated seven RZSM products, including ERA5, MERRA2, C...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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Taylor & Francis Group
2023-12-01
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| Series: | International Journal of Digital Earth |
| Subjects: | |
| Online Access: | http://dx.doi.org/10.1080/17538947.2023.2261902 |
| _version_ | 1827774420128628736 |
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| author | Jing Tian Yongqiang Zhang |
| author_facet | Jing Tian Yongqiang Zhang |
| author_sort | Jing Tian |
| collection | DOAJ |
| description | Root zone soil moisture (RZSM) is a critical parameter for drought monitoring, agriculture, and vegetation growth. In situ measurements of RZSM are scarce, and therefore, RZSM products are derived mainly through modeling approaches. This study evaluated seven RZSM products, including ERA5, MERRA2, CFSR, SMAP level 4, GLDAS-NOAH2.1, GLDAS-Catchment2.2, and SMOS CATDS Level 4, using 1153 ground sites across China. The evaluations aimed to address which products perform better, how well they capture the seasonal variations, and how they perform under different land surface and climate conditions. Results showed that MERRA2 and NOAH had the best performance, with MERRA2 having a better ability to capture surplus and deficit soil moisture conditions. The study also revealed that precipitation forcing plays a vital role in improving RZSM simulations. Conversely, ERA5 overestimates RZSM, and SMOS exhibits a dry bias. From the time series variability, all datasets except SMOS can capture the temporal dynamics of RZSM well. Moreover, the accuracy of the RZSM products varies significantly in tropical climate zones. This study provides crucial insights for improving land surface and hydrological models in estimating RZSM, which will help in drought management and agriculture production. |
| first_indexed | 2024-03-11T13:38:06Z |
| format | Article |
| id | doaj.art-212ea8a6e92e4a1f8e1b63eb782aaffe |
| institution | Directory Open Access Journal |
| issn | 1753-8947 1753-8955 |
| language | English |
| last_indexed | 2024-03-11T13:38:06Z |
| publishDate | 2023-12-01 |
| publisher | Taylor & Francis Group |
| record_format | Article |
| series | International Journal of Digital Earth |
| spelling | doaj.art-212ea8a6e92e4a1f8e1b63eb782aaffe2023-11-02T14:47:05ZengTaylor & Francis GroupInternational Journal of Digital Earth1753-89471753-89552023-12-011624008402210.1080/17538947.2023.22619022261902Comprehensive validation of seven root zone soil moisture products at 1153 ground sites across ChinaJing Tian0Yongqiang Zhang1Chinese Academy of SciencesChinese Academy of SciencesRoot zone soil moisture (RZSM) is a critical parameter for drought monitoring, agriculture, and vegetation growth. In situ measurements of RZSM are scarce, and therefore, RZSM products are derived mainly through modeling approaches. This study evaluated seven RZSM products, including ERA5, MERRA2, CFSR, SMAP level 4, GLDAS-NOAH2.1, GLDAS-Catchment2.2, and SMOS CATDS Level 4, using 1153 ground sites across China. The evaluations aimed to address which products perform better, how well they capture the seasonal variations, and how they perform under different land surface and climate conditions. Results showed that MERRA2 and NOAH had the best performance, with MERRA2 having a better ability to capture surplus and deficit soil moisture conditions. The study also revealed that precipitation forcing plays a vital role in improving RZSM simulations. Conversely, ERA5 overestimates RZSM, and SMOS exhibits a dry bias. From the time series variability, all datasets except SMOS can capture the temporal dynamics of RZSM well. Moreover, the accuracy of the RZSM products varies significantly in tropical climate zones. This study provides crucial insights for improving land surface and hydrological models in estimating RZSM, which will help in drought management and agriculture production.http://dx.doi.org/10.1080/17538947.2023.2261902root zone soil moisturevalidationchinaseven products |
| spellingShingle | Jing Tian Yongqiang Zhang Comprehensive validation of seven root zone soil moisture products at 1153 ground sites across China International Journal of Digital Earth root zone soil moisture validation china seven products |
| title | Comprehensive validation of seven root zone soil moisture products at 1153 ground sites across China |
| title_full | Comprehensive validation of seven root zone soil moisture products at 1153 ground sites across China |
| title_fullStr | Comprehensive validation of seven root zone soil moisture products at 1153 ground sites across China |
| title_full_unstemmed | Comprehensive validation of seven root zone soil moisture products at 1153 ground sites across China |
| title_short | Comprehensive validation of seven root zone soil moisture products at 1153 ground sites across China |
| title_sort | comprehensive validation of seven root zone soil moisture products at 1153 ground sites across china |
| topic | root zone soil moisture validation china seven products |
| url | http://dx.doi.org/10.1080/17538947.2023.2261902 |
| work_keys_str_mv | AT jingtian comprehensivevalidationofsevenrootzonesoilmoistureproductsat1153groundsitesacrosschina AT yongqiangzhang comprehensivevalidationofsevenrootzonesoilmoistureproductsat1153groundsitesacrosschina |