In a recent paper “US Temperatures and Climate Factors since 1895”, Joe D’Aleo has studied the R2 correlations since 1895 between U.S. temperature measurements, measurements of CO2, the Pacific Decadal Oscillation (PDO), the Atlantic Multidecadal Oscillation (AMO), and Total Solar Irradiance (TSI). The R2 correlation is a way of stating how well data trends match, with 1.0 being a perfect match, 0.90 being a very good match, 0.50 a fair match, 0.25 a poor match and 0.00 no match at all. A negative number means that the two trends are reversed. A comparison of the 11 year running mean between temperature and CO2 was 0.44, that is fair to poor. The R2 correlation between TSI (which is a good proxy for total solar effect) and CO2 was 0.57, between fair and good. Finally, since the warm modes of the PDO and AMO both favor warming and their cold modes cooling, he thought the sum of the two may provide a useful index of ocean induced warming for the hemisphere (and USA). He standardized the two data bases and summed them and correlated with the USHCN data, again using a 11 point smoothing as with the CO2 and TSI. The correlation in this case is 0.83, which is close to very good. Also, coming back to the claim that the last 15 years were among the hottest ever recorded: D’Aleo also measured the correlations between global temperature as measured by the Hadley Climate Unit (HADCRUTv3), CO2 (as measured at Mauna Loa, Hawaii), and the Ocean Warming Index (OWI combining PDO, AMO and TSI). The correlation between temperature and CO2 was 0.02, which is abysmal. The correlation with OWI was 0.83, which is very good.