Articles | Volume 13, issue 3
Earth Syst. Sci. Data, 13, 1385–1401, 2021
https://doi.org/10.5194/essd-13-1385-2021
Earth Syst. Sci. Data, 13, 1385–1401, 2021
https://doi.org/10.5194/essd-13-1385-2021

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 et al.

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

Download
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.