This research looked at using data from the SMAP satellite to make land models better at predicting CO2 and CH4 emissions. By inserting SMAP soil moisture data into the model, they found that the model's predictions got closer to real measurements. For example, at some sites, the model's soil moisture predictions were improved by 40% with this new method. The study showed that by using SMAP data, the model better captured how carbon gases vary in response to changes like droughts and heavy rainfall events. Overall, including SMAP data can help improve how land models represent how carbon and water are connected on Earth.