| Assessing biases and climate implications of the diurnal precipitation cycle in climate models C Christopoulos, T Schneider Geophysical Research Letters 48 (13), e2021GL093017, 2021 | 37 | 2021 |
| A machine learning approach to aerosol classification for single-particle mass spectrometry CD Christopoulos, S Garimella, MA Zawadowicz, O Möhler, DJ Cziczo Atmospheric Measurement Techniques 11 (10), 5687-5699, 2018 | 34 | 2018 |
| Training physics‐based machine‐learning parameterizations with gradient‐free ensemble Kalman methods I Lopez‐Gomez, C Christopoulos, HL Langeland Ervik, ORA Dunbar, ... Journal of Advances in Modeling Earth Systems 14 (8), e2022MS003105, 2022 | 24 | 2022 |
| Evaluation of DMA size selection of dry dispersed mineral dust particles K Ardon-Dryer, S Garimella, YW Huang, C Christopoulos, DJ Cziczo Aerosol Science and Technology 49 (9), 828-841, 2015 | 5 | 2015 |
| Interpreting and Distilling a Data-driven Closure of Entrainment and Detrainment C Christopoulos, T Beucler, T Schneider AGU23, 2023 | | 2023 |
| Integrating an Eddy-Diffusivity Mass-Flux Scheme in the CliMA Atmosphere Model Z Shen, A Jaruga, C Kawczynski, D Yatunin, C Christopoulos, ... AGU23, 2023 | | 2023 |
| Learning Entrainment Closures with Neural Networks in a Hybrid Machine-learning Parameterization C Christopoulos, I Lopez-Gomez, Y Cohen, T Schneider, TG Beucler 103rd AMS Annual Meeting, 2023 | | 2023 |
| Evaluation of Machine Learning Techniques for Precipitation Type Forecasting C Christopoulos, M Scheuerer, TM Hamill AMS 2017: 15th Conference on Artificial and Computational Intelligence and …, 2017 | | 2017 |
| Quantitative comparisons of mineral-rich aerosol mass spectra and ice nucleating efficiency S Garimella, M Zawadowicz, C Christopoulos, D Rothenberg, D Cziczo ABSTRACTS OF PAPERS OF THE AMERICAN CHEMICAL SOCIETY 250, 2015 | | 2015 |
| Supporting Information for “Assessing Biases and Climate Implications of the Diurnal Precipitation Cycle in Climate Models” C Christopoulos, T Schneider | | |
