Long-term reconstruction of satellite-based precipitation, soil moisture, and snow water equivalent in China

Yang, Wencong; Yang, Hanbo; Li, Changming; Wang, Taihua; Liu, Ziwei; Hu, Qingfang; Yang, Dawen

doi:https://doi.org/10.5194/hess-26-6427-2022

Articles | Volume 26, issue 24

https://doi.org/10.5194/hess-26-6427-2022

© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/hess-26-6427-2022

© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 26, issue 24

Research article

|

21 Dec 2022

Research article |

| 21 Dec 2022

Long-term reconstruction of satellite-based precipitation, soil moisture, and snow water equivalent in China

Wencong Yang, Hanbo Yang, Changming Li, Taihua Wang, Ziwei Liu, Qingfang Hu, and Dawen Yang

Data sets

Long-term recon- struction of satellite-based precipitation, soil moisture, and snow water equivalent in China (1.0) W. Yang, H. Yang, C. Li, T. Wang, Z. Liu, Q. Hu, and D. Yang https://doi.org/10.5281/zenodo.5811099

Model code and software

YANGOnion/Hydrological-Reconstruction-China (1.0.0). W. Yang https://doi.org/10.5281/zenodo.7450278

Short summary

We produced a daily 0.1° dataset of precipitation, soil moisture, and snow water equivalent in 1981–2017 across China via reconstructions. The dataset used global background data and local on-site data as forcing input and satellite-based data as reconstruction benchmarks. This long-term high-resolution national hydrological dataset is valuable for national investigations of hydrological processes.