Comprehensive validation of seven root zone soil moisture products at 1153 ground sites across China

References

• Ahmad, Al Bitar, and A. Mahmoodi. 2020. “Algorithm Theoretical Basis Document (ATBD) for the SMOS Level 4 Root Zone Soil Moisture (Version v30_01).” Zenodo, https://doi.org/10.5281/zenodo.4298572.
   Google Scholar
• Albergel, C., C. Rudiger, T. Pellarin, J. C. Calvet, N. Fritz, F. Froissard, D. Suquia, A. Petitpa, B. Piguet, and E. Martin. 2008. “From Near-Surface to Root-Zone Soil Moisture Using an Exponential Filter: An Assessment of the Method Based on in-Situ Observations and Model Simulations.” Hydrology and Earth System Sciences 12 (6): 1323–1337. https://doi.org/10.5194/hess-12-1323-2008.
   Web of Science ®Google Scholar
• Bell, B., H. Hersbach, A. Simmons, P. Berrisford, P. Dahlgren, A. Horanyi, J. Munoz-Sabater, et al. 2021. “The ERA5 Global Reanalysis: Preliminary Extension to 1950.” Quarterly Journal of the Royal Meteorological Society 147 (741): 4186–4227. https://doi.org/10.1002/qj.4174.
   Web of Science ®Google Scholar
• Bi, H. Y., J. W. Ma, W. J. Zheng, and J. Y. Zeng. 2016. “Comparison of Soil Moisture in GLDAS Model Simulations and in Situ Observations Over the Tibetan Plateau.” Journal of Geophysical Research-Atmospheres 121 (6): 2658–2678. https://doi.org/10.1002/2015jd024131.
   Web of Science ®Google Scholar
• Carranza, C., C. Nolet, M. Pezij, and M. van der Ploeg. 2021. “Root Zone Soil Moisture Estimation with Random Forest.” Journal of Hydrology 593. https://doi.org/10.1016/j.jhydrol.2020.125840.
   PubMed Web of Science ®Google Scholar
• Fan, L., Z. P. Xing, G. De Lannoy, F. Frappart, J. Peng, J. Y. Zeng, X. J. Li, et al. 2022. “Evaluation of Satellite and Reanalysis Estimates of Surface and Root-Zone Soil Moisture in Croplands of Jiangsu Province, China.” Remote Sensing of Environment 282. https://doi.org/10.1016/j.rse.2022.113283.
   Web of Science ®Google Scholar
• Grillakis, M. G., A. G. Koutroulis, D. D. Alexakis, C. Polykretis, and I. N. Daliakopoulos. 2021. “Regionalizing Root-Zone Soil Moisture Estimates from ESA CCI Soil Water Index Using Machine Learning and Information on Soil, Vegetation, and Climate.” Water Resources Research 57 (5). https://doi.org/10.1029/2020WR029249.
   Web of Science ®Google Scholar
• Karthikeyan, L., and A. K. Mishra. 2021. “Multi-layer High-Resolution Soil Moisture Estimation Using Machine Learning Over the United States.” Remote Sensing of Environment 266. https://doi.org/10.1016/j.rse.2021.112706.
   Web of Science ®Google Scholar
• Li, Q. L., G. S. Shi, W. Shangguan, V. Nourani, J. D. Li, L. Li, F. N. Huang, et al. 2022. “A 1 km Daily Soil Moisture Dataset Over China Using in Situ Measurement and Machine Learning.” Earth System Science Data 14 (12): 5267–5286. https://doi.org/10.5194/essd-14-5267-2022.
   Web of Science ®Google Scholar
• Liu, J. Y., W. H. Kuang, Z. X. Zhang, X. L. Xu, Y. W. Qin, J. Ning, W. C. Zhou, et al. 2014. “Spatiotemporal Characteristics, Patterns, and Causes of Land-use Changes in China Since the Late 1980s.” Journal of Geographical Sciences 24 (2): 195–210. https://doi.org/10.1007/s11442-014-1082-6.
   Web of Science ®Google Scholar
• Munoz-Sabater, J., E. Dutra, A. Agusti-Panareda, C. Albergel, G. Arduini, G. Balsamo, S. Boussetta, et al. 2021. “ERA5-Land: A State-of-the-art Global Reanalysis Dataset for Land Applications.” Earth System Science Data 13 (9): 4349–4383. https://doi.org/10.5194/essd-13-4349-2021.
   Web of Science ®Google Scholar
• Peng, C. M., M. X. Deng, and L. P. Di. 2014. “Relationships Between Remote-Sensing-Based Agricultural Drought Indicators and Root Zone Soil Moisture: A Comparative Study of Iowa.” Ieee Journal of Selected Topics in Applied Earth Observations and Remote Sensing 7 (11): 4572–4580. https://doi.org/10.1109/Jstars.2014.2344115.
   Web of Science ®Google Scholar
• Reichle, R. H., G. J. M. De Lannoy, Q. Liu, J. V. Ardizzone, A. Colliander, A. Conaty, W. Crow, et al. 2017a. “Assessment of the SMAP Level-4 Surface and Root-Zone Soil Moisture Product Using In Situ Measurements.” Journal of Hydrometeorology 18 (10): 2621–2645. https://doi.org/10.1175/Jhm-D-17-0063.1.
   Web of Science ®Google Scholar
• Reichle, R. H., C. S. Draper, Q. Liu, M. Girotto, S. P. P. Mahanama, R. D. Koster, and G. J. M. De Lannoy. 2017b. “Assessment of MERRA-2 Land Surface Hydrology Estimates.” Journal of Climate 30 (8): 2937–2960. https://doi.org/10.1175/Jcli-D-16-0720.1.
   Web of Science ®Google Scholar
• Reichle, R. H., Q. Liu, R. D. Koster, W. Crow, G. J. M. De Lannoy, J. S. Kimball, J. V. Ardizzone, et al. 2019. “Version 4 of the SMAP Level-4 Soil Moisture Algorithm and Data Product.” Journal of Advances in Modeling Earth Systems 11 (10): 3106–3130. https://doi.org/10.1029/2019ms001729.
   Web of Science ®Google Scholar
• Rodell, M., P. R. Houser, U. Jambor, J. Gottschalck, K. Mitchell, C. J. Meng, K. Arsenault, et al. 2004. “The Global Land Data Assimilation System.” Bulletin of the American Meteorological Society 85 (3): 381–394. https://doi.org/10.1175/Bams-85-3-381.
   Web of Science ®Google Scholar
• Saha, S., S. Moorthi, X. R. Wu, J. Wang, S. Nadiga, P. Tripp, D. Behringer, et al. 2014. “The NCEP Climate Forecast System Version 2.” Journal of Climate 27 (6): 2185–2208. https://doi.org/10.1175/Jcli-D-12-00823.1.
   Web of Science ®Google Scholar
• Shangguan, W., Y. J. Dai, B. Y. Liu, A. X. Zhu, Q. Y. Duan, L. Z. Wu, D. Y. Ji, et al. 2013. “A China Data set of Soil Properties for Land Surface Modeling.” Journal of Advances in Modeling Earth Systems 5 (2): 212–224. https://doi.org/10.1002/jame.20026.
   Web of Science ®Google Scholar
• Tian, J., Y. Q. Zhang, J. P. Guo, X. Z. Zhang, N. Ma, H. S. Wei, and Z. X. Tang. 2022. “Predicting Root Zone Soil Moisture Using Observations at 2121 Sites Across China.” Science of The Total Environment 847. https://doi.org/10.1016/j.scitotenv.2022.157425.
   Web of Science ®Google Scholar
• Tobin, K. J., R. Torres, M. E. Bennett, J. Z. Dong, and W. T. Crow. 2020. “Long-Term Trends in Root-Zone Soil Moisture Across CONUS Connected to ENSO.” Remote Sensing 12 (12). https://doi.org/10.3390/rs12122037.
   Web of Science ®Google Scholar
• Tobin, K. J., R. Torres, W. T. Crow, and M. E. Bennett. 2017. “Multi-decadal Analysis of Root-Zone Soil Moisture Applying the Exponential Filter Across CONUS.” Hydrology and Earth System Sciences 21 (9): 4403–4417. https://doi.org/10.5194/hess-21-4403-2017.
   Web of Science ®Google Scholar
• Wagner, W., G. Lemoine, and H. Rott. 1999. “A Method for Estimating Soil Moisture from ERS Scatterometer and Soil Data.” Remote Sensing of Environment 70 (2): 191–207. https://doi.org/10.1016/S0034-4257(99)00036-X.
   Web of Science ®Google Scholar
• Wu, J., and X. J. Gao. 2013. “A Gridded Daily Observation Dataset Over China Region and Comparison with the Other Datasets.” Chinese Journal of Geophysics-Chinese Edition 56 (4): 1102–1111. https://doi.org/10.6038/cjg20130406.
   Web of Science ®Google Scholar
• Xing, Z. P., L. Fan, L. Zhao, G. De Lannoy, F. Frappart, J. Peng, X. J. Li, et al. 2021. “A First Assessment of Satellite and Reanalysis Estimates of Surface and Root-Zone Soil Moisture Over the Permafrost Region of Qinghai-Tibet Plateau.” Remote Sensing of Environment 265. https://doi.org/10.1016/j.rse.2021.112666.
   PubMed Web of Science ®Google Scholar
• Xu, L., P. Abbaszadeh, H. Moradkhani, N. C. Chen, and X. Zhang. 2020. “Continental Drought Monitoring Using Satellite Soil Moisture, Data Assimilation and an Integrated Drought Index.” Remote Sensing of Environment 250. https://doi.org/10.1016/j.rse.2020.112028.
   PubMed Web of Science ®Google Scholar
• Xu, L., N. C. Chen, X. Zhang, H. Moradkhani, C. Zhang, and C. L. Hu. 2021. “In-situ and Triple-Collocation Based Evaluations of Eight Global Root Zone Soil Moisture Products.” Remote Sensing of Environment 254. https://doi.org/10.1016/j.rse.2020.112248.
   Web of Science ®Google Scholar
• Yang, S. Q., J. Y. Zeng, W. J. Fan, and Y. K. Cui. 2022. “Evaluating Root-Zone Soil Moisture Products from GLEAM, GLDAS, and ERA5 Based on In Situ Observations and Triple Collocation Method Over the Tibetan Plateau.” Journal of Hydrometeorology 23 (12): 1861–1878. https://doi.org/10.1175/Jhm-D-22-0016.1.
   Web of Science ®Google Scholar
• Zohaib, M., H. Kim, and M. Choi. 2017. “Evaluating the Patterns of Spatiotemporal Trends of Root Zone Soil Moisture in Major Climate Regions in East Asia.” Journal of Geophysical Research-Atmospheres 122 (15): 7705–7722. https://doi.org/10.1002/2016jd026379.
   Web of Science ®Google Scholar