Publications

​Submitted/ In Review​

• Arcodia, M., Elizabeth A. Barnes, Paul J. Durack, Patrick W. Keys, Juliette Rocha, 2024. "Sea Surface Salinity Provides Subseasonal Predictability for Forecasts of Opportunity of U.S. Summertime Precipitation". Submitted to Journal of Geophysical Research: Atmospheres. Preprint available here.

• Kirtman, B.P., Arcodia M., Becker, E., Besong-Cohen, K., Boyd, J., Daher, H., Gifford, I., Infanti, J., Kaiser, J., Kramer, S., Larson S., Laurindo L., Lopez, H., Malloy, K., Martinez, C., Papazian, K., Perlin, N., Schuler, C., Schoenwald, V., Siqueira, L., Zavadoff, B., Zhang, W., Pegion, K., 2024. "A Simplified Physics Atmosphere General Circulation Model for Idealized Climate Dynamics Studies". Submitted to BAMS. 

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​2024​

• +Laís G. Fernandes, Matthew C. Wheeler, Alice M. Grimm, Marybeth C. Arcodia, Chapter 17 - Ocean–atmosphere interactions: Madden–Julian Oscillation and El Niño–Southern Oscillation, Editor(s): Bin Guan, Atmospheric Oscillations, Elsevier, 2025, Pages 335-362, ISBN 9780443156380, https://doi.org/10.1016/B978-0-443-15638-0.00017-4.

• Arcodia, M., Becker, E., & Kirtman, B.P. (2024). "Subseasonal Variability of U.S. Coastal Sea Level from MJO and ENSO Teleconnection Interference", Weather and Forecasting. https://doi.org/10.1175/WAF-D-23-0002.1

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​2023​

• Arcodia, M., E. Barnes, K.J. Mayer, J. Lee, A. Ordonez, M. Ahn. (2023) "Assessing decadal variability of subseasonal  forecasts of opportunity using explainable AI." Environmental Research: Climate,  2(4), 045002. 

• Arcodia, M., Kirtman, B.P. (2023). “Using simplified linear and nonlinear models to assess ENSO-modulated MJO    teleconnections”. Climate Dynamics, 1-21. https://doi.org/10.1007/s00382-023-06864-x

• ​​​​Clement, A., Troxler, T., Keefe, O., Arcodia, M., Cruz, M., Hernandez, A., Moanga, D., Adefris, Z., Brown, N., Jacobson, S., (2023) “Hyperlocal Observations Reveal Persistent Extreme Urban Heat in Southeast Florida”,  Journal of Applied Meteorology and Climatology. https://doi.org/10.1175/JAMC-D-22-0165.1

  • ​​See media coverage: Miami Herald article, News at the U, Phys.org

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2022

• *Arcodia, M., 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

  • Zenodo: https://doi.org/10.5281/zenodo.6686879

  • Github: https://github.com/eabarnes1010/ml_tutorial_csu​​​​​​​

• ​Arcodia, M. (2022). Subseasonal Variability of ENSO-Modulated MJO Teleconnections and the Regionalized North American Impacts (Doctoral dissertation, University of Miami).​​​

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2021

• *Arcodia, M., Becker, E., & Kirtman, B.P. (2021). "Florida Coastal Flooding Today, Tomorrow, and the Coming Decades: A Flooding Report funded by the Miami Herald".  https://github.com/mbarcodia/FL_coastalflooding_report​

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2020

• Arcodia, M., Kirtman, B. P., & Siqueira, L. S. P. (2020). “How MJO Teleconnections and ENSO Interference Impacts U.S. Precipitation”, Journal of Climate, 33(11), 4621-4640. https://doi.org/10.1175/JCLI-D-19-0448.1

  • See media coverage: News at the U​; Phys.org; Science Daily

  • Recipient of the University of Miami Rosenstiel School Best Student Publication Millero Prize (2020)

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* denotes tutorials, newsletters, reports

+ denotes textbook chapter