1. Judt, F., R. Rios-Berrios, and G. H. Bryan, 2023: Marathon vs. Sprint: Two Modes of Tropical Cyclone Rapid Intensification in a Global Convection-Permitting Simulation. Mon. Wea. Rev., 151, 2683–2699, [pdf]
  2. Chen, X., C. M. Rozoff, R. F. Rogers, C. L. Corbosiero, and 10 co-authors (incl. Judt, F.), 2023: Research Advances on Internal Processes Affecting Tropical Cyclone Intensity Change from 2018–2022. Trop. Cyclone Res. Rev., 12, 10–29, [pdf]
  3. Rios-Berrios, R., F. Judt, G. H. Bryan, B. Medeiros, and W. Wang, 2023: Three-Dimensional Structure of Convectively Coupled Equatorial Waves in Aquaplanet Experiments with Resolved or Parameterized Convection. J. Climate, 36, 2895–2915, [pdf]
  4. Rotunno, R., C. Snyder, and F. Judt, 2023: Upscale versus up-amplitude growth of forecast-error spectra. J. Atmos. Sci., 80, 63–72, [pdf]
  5. Stuart, N., G. Hartfield, D. M. Schulz, and 16 co-authors (incl. Judt, F.), 2022: The Evolving Role of Humans in Weather Prediction and Communication. Bull. Amer. Meteor. Soc., 103, E1720–E1746, [pdf]
  6. Nystrom, R., and F. Judt, 2022: The consequences of surface-exchange coefficient uncertainty on an otherwise highly predictable major hurricane. Mon. Wea. Rev., 150, 2073–2089, [pdf]
  7. Rios-Berrios, R., G. Bryan, B. Medeiros, and F. Judt, 2022: Differences in Tropical Rainfall in Aquaplanet Simulations with Resolved or Parameterized Deep Convection. J. Adv. Model. Earth Syst., 14, e2021MS002902, [pdf]
  8. Judt, F., and R. Rios-Berrios, 2021: Resolved Convection Improves the Representation of Equatorial Waves and Tropical Rainfall Variability in a Global Nonhydrostatic Model. Geophys. Res. Let., 48, e2021GL093265, [pdf]
  9. Judt, F., D. Klocke, R. Rios-Berrios, and 23 co-authors, 2021: Tropical Cyclones in Global Storm-Resolving Simulations. J. Meteor. Soc. Japan, 99, 579–602, [pdf]
  10. Shen, L.-Z., C.-C. Wu, and F. Judt, 2021: The Role of Surface Heat Fluxes on the Size of Typhoon Megi (2016). J. Atmos. Sci., 78, 1075–1093, [pdf]
  11. Judt, F., 2020: Atmospheric Predictability of the Tropics, Middle Latitudes, and Polar Regions Explored through Global Storm-Resolving Simulations. J. Atmos. Sci., 77, 257–276, [pdf]
  12. Stevens, B., M. Satoh, L. Auger, and 18 co-authors (incl. Judt, F.), 2019: DYAMOND: The DYnamics of the Atmospheric general circulation Modeled On Non-hydrostatic Domains. Prog. Earth Planet. Sci, 6, 61, [pdf]
  13. Satoh, M., B. Stevens, F. Judt, M. Khairoutdinov, S.-J. Lin, W. Putman, and P. Dueben, 2019: Global Cloud-Resolving Models. Curr. Clim. Change Rep., 5, 172–84, [pdf]
  14. Fox, K. R., and Judt, F., 2018: A Numerical Study on the Extreme Intensification of Hurricane Patricia (2015). Wea. Forecasting, 33, 989–999, [pdf]
  15. Judt, F., 2018: Insights into Atmospheric Predictability through Global Convection-Permitting Model Simulations. J. Atmos. Sci., 75, 1477–1497, [pdf]
  16. Zadra, A., K. Williams, A. Frassoni, and 18 co-authors (incl. Judt, F.), 2018: Systematic Errors in Weather and Climate Models: Nature, Origins, and Way Forward. Bull. Amer. Meteor. Soc., 99, ES67-ES70, [pdf]
  17. E. A. D'Asaro, A. Y. Shcherbina, J. M. Klymak, and 16 co-authors (incl. Judt, F.), 2018: Ocean Convergence and the Dispersion of Flotsam. Proc. Natl. Acad. Sci. U. S. A., 144, 4416–4433, [pdf]
  18. Judt, F., and S. S. Chen, 2016: Predictability and Dynamics of Tropical Cyclones Rapid Intensi- fication Deduced from High-Resolution Stochastic Ensembles. Mon. Wea. Rev., 144, 4416–4433, [pdf]
  19. Judt, F., S. S. Chen, and M. Curcic, 2016: Atmospheric Forcing of the Upper Ocean Transport in the Gulf of Mexico: From Seasonal to Diurnal Scales. J. Geophys. Res. Oceans, 121, 4416–4433, [pdf]
  20. Judt, F., S. S. Chen, and J. Berner, 2016: Predictability of Tropical Cyclone Intensity: Scale- Dependent Forecast Error Growth in High-Resolution Stochastic Kinetic-Energy Backscatter Ensembles. Quart. J. Roy. Meteor. Soc., 142, 43–57, [pdf]
  21. Chen, S. S., B. W. Kerns, N. Guy, and 7 co-authors (incl. Judt, F.), 2016: Aircraft Observations of Dry Air, ITCZ, Convective Cloud Systems and Cold Pools in MJO During DYNAMO. Bull. Amer. Meteor. Soc., 97, 405–423, [pdf]
  22. Judt, F., S. S. Chen, 2015: A New Aircraft Hurricane Wind Climatology and Applications in Assessing the Predictive Skill of Tropical Cyclone Intensity using High-Resolution Ensemble Forecasts. Geophys. Res. Let., 42, 6043–6050, [pdf]
  23. Coelho E., P. Hogan, G. Jacobs, and 23 co-authors (incl. Judt, F.), 2015: Ocean Current Estimation Using a Multi-Model Ensemble Kalman Filter During the Grand Lagrangian Deployment Experiment (GLAD). Ocean Model., 87, 86–106, [pdf]
  24. Jacobs, G. A., B. Bartels, D. Bogucki, and 30 co-authors (incl. Judt, F.), 2014: Data Assimilation Considerations for Improved Ocean Predictability during the Gulf of Mexico Grand Lagrangian Deployment (GLAD). Ocean Model., 83, 98–117, [pdf]
  25. Judt, F., and S. S. Chen, 2014: An Explosive Convective Cloud System and its Environmental Conditions in MJO Initiation Observed during DYNAMO. J. Geophys. Res. Atmos., 119, 2781–2795, [pdf]
  26. Judt, F., and S. S. Chen, 2013: Reply to “Comments on ‘Convectively Generated Potential Vorticity in Rainbands and Formation of the Secondary Eyewall in Hurricane Rita of 2005’”. J. Atmos. Sci., 70, 989–992, [pdf]
  27. Judt, F., and S. S. Chen, 2010: Convectively Generated Potential Vorticity in Rainbands and Formation of the Secondary Eyewall in Hurricane Rita of 2005. J. Atmos. Sci., 67, 3581–3599, [pdf]