New automated system improves accuracy of soil moisture data nationwide!
The goal of the study was to develop a way to check the quality of soil moisture data collected from various observation networks. The researchers used a method that looked at different factors like soil temperature and moisture levels to identify any errors in the data. They found that this approach was effective in flagging incorrect measurements, especially in colder regions during certain seasons. The quality control procedure significantly improved the accuracy of the data in specific areas like Alabama, North Carolina, and west Texas.