Finding the Time Lag Between Solar Heating and Surface Temperature EAS 4480: Data Analysis Final Project Arielle Nixon 24 April 2012
Introduction Determine: correlation between incoming solar radiation at the Atlanta Hartsfield-Jackson Airport (KATL) and change in air temperature/SST Lag time between each of these correlated data sets
Gather data: Daily mean air temperature Incoming solar insulation Sea surface temperature Compute Autocorrelations of each data set Compute correlation coefficients to determine which components are most closely related Cross correlate IR with Air Temp and SST to find lag time Methods
Climatological Daily Mean Temperatures from KATL for 2011
Smoothed Climatological Daily Mean Temperatures from KATL for 2011
Residual Climatological Daily Mean Temperatures from KATL for 2011
Daily Mean and Smoothed Temperature from KATL for 2011
Autocorrelation: Climatological Daily Mean Temperature
Autocorrelation: Smoothed Daily Mean Temperature
Autocorrelation: Residual of Daily Mean Temperature
Autocorrelation: Daily Mean Incoming Solar Insulation
Autocorrelation: Daily Mean Sea Surface Temperature
Autocorrelation as a Function of Time Lag
Correlation Coefficients
Cross-Correlation between Smoothed Daily Temperature & Daily Incoming Solar Insulation Max correlation of at Lag= 17
Cross-Correlation between Sea Surface Temperature & Daily Incoming Solar Insulation Max correlation of at Lag= 58
At a time lag of 17 days, the increase/decrease in solar insulation has the most causal effect on the mean air temperature at KATL At a time lag of 58 days, the increase/decrease in solar insulation have the most causal effect on the sea surface temperature Results
Daily Mean Air Temperature data Incoming Solar Insulation data Sea Surface Temperature Data isst.v2.highres.html isst.v2.highres.html Resources