Ryan Torn, Ph.D.

Affiliations: 
2007 University of Washington, Seattle, Seattle, WA 
Area:
Atmospheric Sciences
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"Ryan Torn"

Parents

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George J. Hakim grad student 2007 University of Washington
 (Using ensemble data assimilation for predictability and dynamics.)
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Publications

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Tymochko S, Munch E, Dunion J, et al. (2020) Using persistent homology to quantify a diurnal cycle in hurricanes Pattern Recognition Letters. 133: 137-143
Lambersona WS, Torn RD, Bosart LF, et al. (2016) Diagnosis of the source and evolution of medium-range forecast errors for extratropical Cyclone Joachim Weather and Forecasting. 31: 1197-1214
Torn RD. (2016) Evaluation of atmosphere and ocean initial condition uncertainty and stochastic exchange coefficients on ensemble tropical cyclone intensity forecasts Monthly Weather Review. 144: 3487-3506
Rios-Berrios R, Torn RD, Davis CA. (2016) An ensemble approach to investigate tropical cyclone intensification in sheared environments. Part II: Ophelia (2011) Journal of the Atmospheric Sciences. 73: 1555-1575
Torn RD, Romine GS. (2015) Sensitivity of Central Oklahoma convection forecasts to upstream potential vorticity anomalies during two strongly forced cases during MPEX Monthly Weather Review. 143: 4064-4087
Torn RD, Whitaker JS, Pegion P, et al. (2015) Diagnosis of the source of GFS medium-range track errors in Hurricane Sandy (2012) Monthly Weather Review. 143: 132-152
Torn RD, Hakim GJ. (2015) Comparison of wave packets associated with extratropical transition and winter cyclones Monthly Weather Review. 143: 1782-1803
Weisman ML, Trapp RJ, Romine GS, et al. (2015) The mesoscale predictability experiment (MPEX) Bulletin of the American Meteorological Society. 96: 2127-2149
Chen SH, Liu YC, Nathan TR, et al. (2015) Modeling the effects of dust-radiative forcing on the movement of Hurricane Helene (2006) Quarterly Journal of the Royal Meteorological Society. 141: 2563-2570
Majumdar SJ, Torn RD. (2014) Probabilistic verification of global and mesoscale ensemble forecasts of tropical cyclogenesis Weather and Forecasting. 29: 1181-1198
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