Connolly, J. C., and Hueholy, M. D., Burt, A. M., 2024. “Datasheets for Earth Science Datasets” Submitted for review at BAMS
Connolly, J. C., Prewett E. M., Barnes, E. A., Hurrell, J. W. (2024). Quantifying the Impact of Internal Variability on the CESM2 Control Algorithm for Stratospheric Aerosol Injection. Earth's Future. 12(6): e2023EF004300. https://doi.org/10.1029/2023EF004300
Connolly, C., Barnes, E. A., Hassanzadeh, P., & Pritchard, M. (2023). Using neural networks to learn the Jet Stream forced response from natural variability. Artificial Intelligence for the Earth Systems, 2(2), e220094. https://doi.org/10.1175/AIES-D-22-0094.1
Samarasinghe, S. M., Connolly, C., Barnes, E. A., Ebert‐Uphoff, I., & Sun, L. (2021). Strengthened causal connections between the MJO and the North Atlantic with climate warming. Geophysical Research Letters, 48(5), e2020GL091168. https://doi.org/10.1029/2020GL091168
Fogt, R. L., & Connolly, C. J. (2021). Extratropical southern hemisphere synchronous pressure variability in the early twentieth century. Journal of Climate, 34(14), 5795-5811. https://doi.org/10.1175/JCLI-D-20-0498.1
Connolly, C., Prewett. E., E.A. Barnes, J.W. Hurrell, Quantifying the Impact of Internal Variability on the CESM2 ARISE-SAI-1.5 Control Algorithm
Poster at the 2024 Gordon Research Conference on Climate Engineering
Connolly, C., Barnes, E., Hassanzadah, P., Pritchard M., 2023: Using Neural Networks to Learn the Forced Response of the Jet-Stream to Tropospheric Temperature Tendencies, Poster in the 103rd Annual American Meteorological Society Meeting
Connolly, C. J. (2022, January). Using a Convolutional Neural Network to Explore the Nonlinear Relationship between Regional Warming and the Position of the Midlatitude Jet Stream. Oral presentation in 102nd American Meteorological Society Annual Meeting. AMS.
Connolly, C., Naegele, A., & Randall, D. A. (2020, January). The Meridional Structure of the Effects of Global Warming on Atmospheric Radiative Cooling and Precipitation. Poster in 100th American Meteorological Society Annual Meeting. AMS.
Connolly, C., Smith, A., & Kelsey, E. (2018). How Often Vertical Air Mass Transitions Occur in Association with Ridges on Mount Washington During the 2017-2018 Fall Season.
Arcodia, Marybeth, Elizabeth Barnes, Charlotte Connolly, Frances Davenport, Zaibeth Carlo Frontera, Emily Gordon, Daniel Hueholt, Antonios Mamalakis and Elina Valkonen: Applied Machine Learning Tutorial for Earth Scientists, 2022, Zenodo: https://doi.org/10.5281/zenodo.6686879. Github: https://github.com/eabarnes1010/ml_tutorial_csu.
Connolly, C.J.. Jan. 2024. “Unraveling the Art of AI-Generated Crochet Patterns” Talk for Nerd Nite Fort Collins.