Fig. 3: Relationship between soil moisture (SM) and atmospheric factors (i.e., latent heat flux (LHF), moisture convergence (MC), and precipitation (P)) for ERA5, MERRA-2, and GLEAM datasets. | Communications Earth & Environment

Fig. 3: Relationship between soil moisture (SM) and atmospheric factors (i.e., latent heat flux (LHF), moisture convergence (MC), and precipitation (P)) for ERA5, MERRA-2, and GLEAM datasets.

From: Soil moisture−atmosphere feedbacks have triggered the shifts from drought to pluvial conditions since 1980

Fig. 3: Relationship between soil moisture (SM) and atmospheric factors (i.e., latent heat flux (LHF), moisture convergence (MC), and precipitation (P)) for ERA5, MERRA-2, and GLEAM datasets.

Mean PMF of concurrent drought (soil moisture below the 15th percentile) and next-pentad pluvial (precipitation above the 85th percentile) over the period of 1980–2020 based on a ERA5, b GLEAM, and c MERRA-2 datasets. Correlation of mean soil moisture and next-pentad latent heat flux over the period of 1980–2020 based on d ERA5, e GLEAM, and f MERRA-2 datasets. Correlation of mean soil moisture and next-pentad moisture convergence over the period of 1980–2020 based on g ERA5, h GLEAM, and i MERRA-2 datasets. j Percentage of areas with significant soil moisture−latent heat flux−precipitation and soil moisture−moisture convergence−precipitation transitive chains over the areas with high probability of concurrent drought and next-pentad pluvial (PMF > 1). k Percentage of areas with significant soil moisture−latent heat flux−precipitation and soil moisture−moisture convergence−precipitation transitive chains over the humid, transitional, and arid areas for ERA5, GLEAM, and MERRA-2 datasets. Stippling represents the regions where the correlation between soil moisture−latent heat flux and soil moisture−moisture convergence is statistically significant at the level of 0.01.

Back to article page