Noodles: A Tool for Visualization of Numerical Weather Model Ensemble Uncertainty. - Jibonananda Sanyal; Song Zhang 004; Jamie L. Dyer; Andrew Mercer 001; Philip Amburn; Robert J. Moorhead (IEEE Trans. Vis. Comput. Graph., 2010)

Identification of severe weather outbreaks using kernel principal component analysis. - Andrew E. Mercer; Michael B. Richman; Lance M. Leslie (Complex Adaptive Systems, 2011)

Assessing Atmospheric Variability using Kernel Principal Component Analysis. - Andrew E. Mercer; Michael B. Richman (Complex Adaptive Systems, 2012)

Warm-season Thermodynamically-driven Rainfall Prediction with Support Vector Machines. - Andrew Mercer 001; Jamie L. Dyer; Song Zhang 004 (Complex Adaptive Systems, 2013)

A New Scheme for Daily Peak Wind Gust Prediction Using Machine Learning. - Andrew Mercer 001; Jamie L. Dyer (Complex Adaptive Systems, 2014)

Diagnosing Tropical Cyclone Rapid Intensification Using Kernel Methods and Reanalysis Datasets. - Andrew Mercer 001; Alexandria Grimes (Complex Adaptive Systems, 2015)

Visual scalability of spatial ensemble uncertainty. - Sujan Anreddy; Song Zhang 004; Andrew Mercer 001; Jamie L. Dyer; J. Edward Swan II (VAST, 2015)

Uncertainty-Aware Multidimensional Ensemble Data Visualization and Exploration. - Haidong Chen; Song Zhang 004; Wei Chen 001; Honghui Mei; Jiawei Zhang; Andrew Mercer 001; Ronghua Liang; Huamin Qu (IEEE Trans. Vis. Comput. Graph., 2015)

A geographic weighted regression approach for improved total alkalinity estimates in the Northern Gulf of Mexico. - Padmanava Dash; Madhur Devkota; Andrew E. Mercer; Shrinidhi Ambinakudige (Environ. Model. Softw., 2022)