Monthly Archives: January 2018

Combining Physical and Statistical Models in Order to Narrow Uncertainty in Projected Global Warming

Below is a presentation I gave on our recent research published in Nature titled “Greater future global warming inferred from Earth’s recent energy budget”. This was for the Stanford University Department of Electrical Engineering and Computer Systems Colloquium (EE380). Thus, it is intended for … Continue reading

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Global temperature: 2018 likely to be colder than 2017, record high possible in 2019

We are working on a new statistical method for predicting interannual variability in global mean surface air temperature (GMST). The method uses the preceding few years of globally gridded temperature anomalies and Partial Least Squares regression to predict the GMST of the following … Continue reading

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