Daniel J. Lloveras

  • (2023) PhD in Atmospheric Sciences, University of Washington
  • (2021) MS in Atmospheric Sciences, University of Washington
  • (2018) BS in Meteorology and Applied Mathematics, University of Miami

News

24 July 2026

My latest paper on deep learning sensitivity analysis was recently published in JAS. Check it out on the publications tab!

3 September 2025

The first paper of my postdoc was recently published online in QJRMS. Check it out on the publications tab!

7 February 2025

My paper on a potential contributing factor to the often-underwhelming results from targeted observations was recently published in JAS! You can find the link to the paper in the publications tab.

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Welcome to my website!

I am a meteorological research scientist working for SAIC and the U.S. Naval Research Laboratory. For my research, I leverage a mix of physics-based and machine-learning weather models to address basic and applied questions about atmospheric dynamics and predictability.

Here you can find information on my background, goals and research. Use the tab above to navigate between these pages. Below my headshot you can find other relevant links, including my email, CV, and scholarly profiles.

Research interests

  • Atmospheric predictability
  • Deep learning weather prediction
  • Synoptic and mesoscale meteorology
  • Numerical methods
  • Extratropical cyclones

From Lloveras et al. (2023): Don't sweat the small stuff.