6 citations · 6 across the 3 of their papers we have counts for
3 papers
stat.ME2022
Bayesian Quantification of Covariance Matrix Estimation Uncertainty in Optimal Fingerprinting
Samuel Baugh, Karen McKinnon
Regression-based optimal fingerprinting techniques for climate change detection and attribution require the estimation of the forced signal as well as the internal variability cova…
stat.AP2021
Hierarchical Bayesian Modeling of Ocean Heat Content and its Uncertainty
Samuel Baugh, Karen McKinnon
The accurate quantification of changes in the heat content of the world's oceans is crucial for our understanding of the effects of increasing greenhouse gas concentrations. The Ar…
stat.AP2018★ 6 cited
Bias correction in daily maximum and minimum temperature measurements through Gaussian process modeling
Maxime Rischard, Natesh Pillai, Karen A. McKinnon
The Global Historical Climatology Network-Daily database contains, among other variables, daily maximum and minimum temperatures from weather stations around the globe. It is long…