Generating seamless global daily AMSR2 soil moisture (SGD-SM) long-term products for the years 2013–2019

Zhang, Qiang; Yuan, Qiangqiang; Li, Jie; Wang, Yuan; Sun, Fujun; Zhang, Liangpei

doi:https://doi.org/10.5194/essd-13-1385-2021

Articles | Volume 13, issue 3

https://doi.org/10.5194/essd-13-1385-2021

© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/essd-13-1385-2021

© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 13, issue 3

Data description paper

|

31 Mar 2021

Data description paper |

| 31 Mar 2021

Generating seamless global daily AMSR2 soil moisture (SGD-SM) long-term products for the years 2013–2019

Qiang Zhang, Qiangqiang Yuan, Jie Li, Yuan Wang, Fujun Sun, and Liangpei Zhang

Supplement

https://doi.org/10.5194/essd-13-1385-2021-supplement

Data sets

SGD-SM: Generating Seamless Global Daily AMSR2 Soil Moisture Long-term Products (2013-2019) Qiang Zhang, Qiangqiang Yuan, Jie Li, Yuan Wang, Fujun Sun, and Liangpei Zhang https://doi.org/10.5281/zenodo.4417458

Short summary

Acquired daily soil moisture products are always incomplete globally (just about 30 %–80 % coverage ratio) due to the satellite orbit coverage and the limitations of soil moisture retrieval algorithms. To solve this inevitable problem, we generate long-term seamless global daily (SGD) AMSR2 soil moisture productions from 2013 to 2019. These productions are significant for full-coverage global daily hydrologic monitoring, rather than averaging as the monthly–quarter–yearly results.