Science Advances

Supplementary Materials

This PDF file includes:

  • Supplementary Materials and Methods
  • fig. S1. SSSA-Sahel rainfall relationship independent of precipitation data sets.
  • fig. S2. Evaluation of SSSA-Sahel rainfall relationship using salinity.
  • fig. S3. Relationship between South Atlantic SSSA and Sahel precipitation.
  • fig. S4. Land surface moisture balance in the Sahel.
  • fig. S5. Consistency of soil moisture feedback mechanism as shown by NOAA CPC and ESA CCI products.
  • fig. S6. North Atlantic SSSA–Sahel precipitation mechanism verified by remote sensing (SMOS) soil moisture data.
  • fig. S7. SSSA-rainfall relationship independent of SSTA.
  • fig. S8. Random forest regression using eight predictors.
  • fig. S9. Linear model selection to predict Sahel monsoon-season precipitation.
  • fig. S10. Linear model prediction of Sahel monsoon-season precipitation.
  • table S1. Four precipitation data sets used in this study.
  • table S2. SSTA-based predictors used to construct the random forest regression model for Sahel monsoon-season precipitation.
  • table S3. Pairwise cross correlation between SSS mode, precipitation mode, North Atlantic MAM salinity, and Sahel JJAS precipitation.
  • References (66–80)

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