Impact of Sea Surface Temperature on Sea Level Rise Analysis

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The analysis conducted by Mark Rotolo in EAS 4480 explores the relationship between sea surface temperature and sea level rise. The research includes regression analysis, error analysis, bootstrap resampling, time series analysis, cross-spectral analysis, and conclusions on the factors contributing to sea level rise. Various datasets and tools were used to understand the impact of sea surface temperature on sea level rise, concluding with references to NOAA Tide Gauge Data and Sea Surface Level Data.

  • Sea Surface Temperature
  • Sea Level Rise
  • Climate Change
  • Analysis
  • NOAA

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Presentation Transcript


  1. HOW DOES SEA SURFACE TEMPERATURE IMPACT SEA LEVEL RISE? Mark Rotolo EAS 4480

  2. INTRO AND DATA

  3. REGRESSION ANALYSIS

  4. ERROR ANALYSIS Slope Confidence Interval Savannah = [0.1009 0.2223] Boston = [-0.3279 0.2573] Alaska = [-1.0847 0.9130] Hawaii = [0.3125 0.4077]

  5. BOOTSTRAP RESAMPLING Confidence Interval Savannah = [0.0195 0.0452] Boston = [-0.0437 - 0.0266] Alaska = [-0.1171 - 0.0557] Hawaii = [0.0894 0.1195]

  6. TIME SERIES ANALYSIS

  7. CROSS-SPECTRAL ANALYSIS

  8. PHASE SPECTRUM AND COHERENCE

  9. CONCLUSIONS - Low Correlation - Periodic Data - Many Factors Contributing to SLR

  10. REFERENCES NOAA Tide Gauge Data: https://tidesandcurrents.noaa.gov/map/index.html?region=Georgia NOAA Sea Surface Level Data: https://psl.noaa.gov/data/gridded/data.noaa.oisst.v2.html Image: https://www.epa.gov/climate-indicators/climate-change-indicators-sea-level

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