Publications

Published/Peer-Reviewed

The largest ever recorded heatwave—Characteristics and attribution of the Antarctic heatwave of March 2022

Blanchard‐Wrigglesworth, E., Cox, T., Espinosa, Z. I., & Donohoe, A. (2023). The largest ever recorded heatwave—Characteristics and attribution of the Antarctic heatwave of March 2022. Geophysical Research Letters, 50(17), e2023GL104910. https://doi.org/10.1029/2023GL104910

Machine Learning Gravity Wave Parameterization Generalizes to Capture the QBO and Response to Increased CO2

Espinosa, Z. I., Sheshadri, A., Cain, G. R., Gerber, E. P., & DallaSanta, K. J. (2022). Machine learning gravity wave parameterization generalizes to capture the QBO and response to increased CO2. Geophysical Research Letters, 49, e2022GL098174. https://doi.org/10.1029/2022GL098174

Conference Presentations

A Machine Learning Parameterization of Gravity Wave Momentum Fluxes Coupled to an Atmospheric Global Climate Model

Espinosa, Zac, et al. "A Machine Learning Parameterization of Gravity Wave Momentum Fluxes Coupled to an Atmospheric Global Climate Model." AGU Fall Meeting 2021. AGU, 2021.

Machine Learning Emulation of Parameterized Gravity Wave Momentum Fluxes in an Atmospheric Global Climate Model

Espinosa, Z., Sheshadri, A., Cain, G., Gerber, E., and DallaSanta, K.: Presented at EGU General Assembly 2021, online, 19–30 Apr 2021, EGU21-1398, https://doi.org/10.5194/egusphere-egu21-1398, 2021.

A Data-Driven, Single column Gravity Wave Parameterization in an Idealized Model

Espinosa, Z., Sheshadri, A., Cain, G., Gerber, E., and DallaSanta, K.

  • Presented at AGU Fall Meeting 2020, virtual
  • Presented at Midwest Student Conference on Atmospheric Research, Sep 2020, virtual
  • Presented at CalGFD, Aug 2020, virtual