Articles | Volume 17, issue 9
https://doi.org/10.5194/essd-17-4587-2025
https://doi.org/10.5194/essd-17-4587-2025
Data description paper
 | 
19 Sep 2025
Data description paper |  | 19 Sep 2025

A 1 km soil moisture dataset over eastern CONUS generated by assimilating SMAP data into the Noah-MP land surface model

Sheng-Lun Tai, Zhao Yang, Brian Gaudet, Koichi Sakaguchi, Larry Berg, Colleen Kaul, Yun Qian, Ye Liu, and Jerome Fast

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Latest update: 09 Oct 2025
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Short summary
Our study created a high-resolution soil moisture dataset for the eastern US by integrating satellite data with a land surface model and advanced algorithms, achieving 1 km scale analyses. Validated against multiple in situ networks and analysis datasets, it demonstrated superior accuracy. This dataset is vital for understanding soil moisture dynamics, especially during droughts, and highlights the need to mitigate soil-type-dependent biases in the model.
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