Science Advances

Supplementary Materials

This PDF file includes:

  • table S1. Projected SLR (in meters) for the Golden Gate tide gauge in San Francisco.
  • table S2. SAR data set used in this study, including Envisat data acquired in descending orbit track 70 and ascending orbit track 478, as well as ALOS SAR data obtained in ascending orbit, frame 740 and track 222.
  • fig. S1. Validation test using synthetic data sets.
  • fig. S2. LOS velocity associated with each data set.
  • fig. S3. Validation test of InSAR time series with GNSS measurements.
  • fig. S4. The distribution and LIDAR DEMs used in this study, as well as the associated sources.
  • fig. S5. One hundred–year projected uncertainty of the land subsidence from the InSAR- and GNSS-derived subsidence rates.
  • fig. S6. Present-day compaction rates.
    fig. S7. Inundation map at 2030 given the lower bound of the likely range of SLRprojection under RCP 4.5 scenario (table S1).
  • fig. S8. Inundation map at 2030 given the upper bound of the likely range of SLR projection under RCP 4.5 scenario (table S1).
  • fig. S9. Inundation map at 2050 given the lower bound of the likely range of SLR projection under RCP 4.5 scenario (table S1).
  • fig. S10. Inundation map at 2050 given the upper bound of the likely range of SLR projection under RCP 4.5 scenario (table S1).
  • fig. S11. Inundation map at 2100 given the lower bound of the likely range of SLR projection under RCP 2.6 scenario (table S1).
  • fig. S12. Inundation map at 2100 given the lower bound of the likely range of SLR projection under RCP 4.5 scenario (table S1).
  • fig. S13. Inundation map at 2100 given the upper bound of the likely range of SLR projection under RCP 4.5 scenario (table S1).
  • fig. S14. Inundation map at 2100 given the lower bound of the likely range of SLR projection under RCP 8.5 scenario (table S1).
  • fig. S15. Inundation map at 2100 given the SLR projection under H++ scenario (table S1).
  • Reference (44)

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