ChinaCropSM1 km: a fine 1&thinsp;km daily soil moisture dataset for dryland wheat and maize across China during 1993–2018

Cheng, Fei; Zhang, Zhao; Zhuang, Huimin; Han, Jichong; Luo, Yuchuan; Cao, Juan; Zhang, Liangliang; Zhang, Jing; Xu, Jialu; Tao, Fulu

doi:https://doi.org/10.5194/essd-15-395-2023

Articles | Volume 15, issue 1

https://doi.org/10.5194/essd-15-395-2023

© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/essd-15-395-2023

© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 15, issue 1

Data description paper

|

23 Jan 2023

Data description paper |

| 23 Jan 2023

ChinaCropSM1 km: a fine 1 km daily soil moisture dataset for dryland wheat and maize across China during 1993–2018

Fei Cheng, Zhao Zhang, Huimin Zhuang, Jichong Han, Yuchuan Luo, Juan Cao, Liangliang Zhang, Jing Zhang, Jialu Xu, and Fulu Tao

Supplement

https://doi.org/10.5194/essd-15-395-2023-supplement

Data sets

ChinaCropSM1 km: a fine 1 km daily Soil Moisture dataset for dryland wheat and maize across China during 1993–2018 Fei Cheng, Zhao Zhang, Huimin Zhuang, Jichong Han, Yuchuan Luo, Juan Cao, Liangliang Zhang, Jing Zhang, Fulu Tao, and Jialu Xu https://doi.org/10.5281/zenodo.6822581

ChinaCropSM1 km: a fine 1 km daily Soil Moisture dataset for dryland wheat and maize across China during 1993–2018 Fei Cheng, Zhao Zhang, Huimin Zhuang, Jichong Han, Yuchuan Luo, Juan Cao, Liangliang Zhang, Jing Zhang, Fulu Tao, and Jialu Xu https://doi.org/10.5281/zenodo.6820166

ChinaCropSM1 km: a fine 1 km daily Soil Moisture dataset for dryland wheat and maize across China during 1993–2018 Fei Cheng, Zhao Zhang, Huimin Zhuang, Jichong Han, Yuchuan Luo, Juan Cao, Liangliang Zhang, Jing Zhang, Fulu Tao, and Jialu Xu https://doi.org/10.5281/zenodo.6822591

ChinaCropSM1 km: a fine 1 km daily Soil Moisture dataset for dryland wheat and maize across China during 1993–2018 Fei Cheng, Zhao Zhang, Huimin Zhuang, Jichong Han, Yuchuan Luo, Juan Cao, Liangliang Zhang, Jing Zhang, Fulu Tao, and Jialu Xu https://doi.org/10.5281/zenodo.6834530

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Short summary

We generated a 1 km daily soil moisture dataset for dryland wheat and maize across China (ChinaCropSM1 km) over 1993–2018 through random forest regression, based on in situ observations. Our improved products have a remarkably better quality compared with the public global products in terms of both spatial and time dimensions by integrating an irrigation module (crop type, phenology, soil depth). The dataset may be useful for agriculture drought monitoring and crop yield forecasting studies.