MODIS daily cloud-gap-filled fractional snow cover dataset of the Asian Water Tower region (2000–2022)

Pan, Fangbo; Jiang, Lingmei; Wang, Gongxue; Pan, Jinmei; Huang, Jinyu; Zhang, Cheng; Cui, Huizhen; Yang, Jianwei; Zheng, Zhaojun; Wu, Shengli; Shi, Jiancheng

doi:https://doi.org/10.5194/essd-16-2501-2024

Articles | Volume 16, issue 5

https://doi.org/10.5194/essd-16-2501-2024

© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/essd-16-2501-2024

© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 16, issue 5

Data description paper

|

29 May 2024

Data description paper |

| 29 May 2024

MODIS daily cloud-gap-filled fractional snow cover dataset of the Asian Water Tower region (2000–2022)

Fangbo Pan, Lingmei Jiang, Gongxue Wang, Jinmei Pan, Jinyu Huang, Cheng Zhang, Huizhen Cui, Jianwei Yang, Zhaojun Zheng, Shengli Wu, and Jiancheng Shi

Data sets

MODIS Daily Cloud-gap-filled Fractional Snow Cover Dataset of the Asian Water Tower Region (2000-2022) Lingmei Jiang et al. https://doi.org/10.5281/zenodo.10005826

MODIS Daily Cloud-gap-filled Fractional Snow Cover Dataset of the Asian Water Tower Region (2000-2022) Lingmei Jiang et al. https://doi.org/10.5281/zenodo.10005827

Validation dataset of 30 m resolution Landsat-8 fractional snow cover in the Asian Water Tower region (2013-2022) Lingmei Jiang et al. https://doi.org/10.5281/zenodo.10008227

AWT_Site_SD (v1.0.0) F. Pan https://doi.org/10.5281/zenodo.11367913

Model code and software

AWT_MODIS_Daily FSC_Product_code F. Pan https://doi.org/10.5281/zenodo.11367978

Short summary

It is important to strengthen the continuous monitoring of snow cover as a key indicator of imbalance in the Asian Water Tower (AWT) region. We generate long-term daily gap-free fractional snow cover products over the AWT at 0.005° resolution from 2000 to 2022 based on the multiple-endmember spectral mixture analysis algorithm and the gap-filling algorithm. They can provide highly accurate, quantitative fractional snow cover information for subsequent studies on hydrology and climate.