Articles | Volume 17, issue 7
https://doi.org/10.5194/essd-17-3391-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/essd-17-3391-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Data description article
| 
16 Jul 2025
Data description article |
| 16 Jul 2025
| 16 Jul 2025
A 3 h, 1 km surface soil moisture dataset for the contiguous United States from 2015 to 2023
Department of Natural Resource Ecology and Management, Oklahoma State University, Stillwater, OK 74078, USA
Jia Yang
Department of Natural Resource Ecology and Management, Oklahoma State University, Stillwater, OK 74078, USA
Tyson E. Ochsner
Department of Plant and Soil Sciences, Oklahoma State University, Stillwater, OK 74078, USA
Erik S. Krueger
Department of Plant and Soil Sciences, Oklahoma State University, Stillwater, OK 74078, USA
Mengyuan Xu
Institute of Agricultural Science and Technology Information, Shanghai Academy of Agricultural Sciences, Shanghai 201403, China
Chris B. Zou
Department of Natural Resource Ecology and Management, Oklahoma State University, Stillwater, OK 74078, USA
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Short summary
We developed a 3 h, 1 km surface soil moisture dataset for the contiguous United States from 2015 to 2023 using the spatio-temporal fusion method. This dataset effectively combines the distinct advantages of two long-term surface soil moisture datasets, which is also the first hourly-level 1 km soil moisture dataset at the continental US scale. The new dataset could provide new insight into the fast changes in soil moisture along with drought and wet spell occurrences.
We developed a 3 h, 1 km surface soil moisture dataset for the contiguous United States from...
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