Sarah M. Griffin



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Results: Found 58 records (displaying records 1 through 25)


1. Griffin, Sarah M. and Otkin, Jason A. Evaluating the impact of planetary boundary layer, land surface model, and microphysics parameterization schemes on simulated GOES-16 water vapor brightness temperatures. Atmosphere, Volume 13, Issue 3, 2022, pp.366. Reprint # 8787.
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2. Griffin, Sarah M.; Wimmers, Anthony and Velden, Christopher S. Predicting rapid intensification in North Atlantic and eastern North Pacific tropical cyclones using a convolutional neural network. Weather and Forecasting, Volume 37, Issue 8, 2022, pp.1333-1355. Reprint # 8844.
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3. Griffin, Sarah M. and Otkin, Jason A. Evaluating the impact of planetary boundary layer, land surface model, and microphysics parameterization schemes on simulated GOES-16 water vapor brightness temperatures. Atmosphere, Volume 13, Issue 3, 2022, pp.366. Reprint # 8787.
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4. Griffin, Sarah M.; Wimmers, Anthony and Velden, Christopher S. Predicting rapid intensification in North Atlantic and eastern North Pacific tropical cyclones using a convolutional neural network. Weather and Forecasting, Volume 37, Issue 8, 2022, pp.1333-1355. Reprint # 8844.
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5. Griffin, Sarah M.; Otkin, Jason A.; Nebuda, Sharon E.; Jensen, Tara L.; Skinner, Patrick S.; Gilleland, Eric; Supinie, Timothy A. and Xue, Ming. Evaluating the impact of planetary boundary layer, land surface model, and microphysics parameterization schemes on cold cloud objects in simulated GOES-16 brightness temperatures. Journal of Geophysical Research-Atmospheres, Volume 126, Issue 15, 2021, e2021JD034709. Reprint # 8717.
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6. Thompson, Gregory; Berner, Judith; Frediani, Maria; Otkin, Jason A. and Griffin, Sarah M. A stochastic parameter perturbation method to represent uncertainty in a microphysics scheme. Monthly Weather Review, Volume 149, Issue 5, 2021, pp.1481-1497. Reprint # 8729.
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7. Griffin, Sarah M.; Otkin, Jason A.; Nebuda, Sharon E.; Jensen, Tara L.; Skinner, Patrick S.; Gilleland, Eric; Supinie, Timothy A. and Xue, Ming. Evaluating the impact of planetary boundary layer, land surface model, and microphysics parameterization schemes on cold cloud objects in simulated GOES-16 brightness temperatures. Journal of Geophysical Research-Atmospheres, Volume 126, Issue 15, 2021, e2021JD034709. Reprint # 8717.
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8. Thompson, Gregory; Berner, Judith; Frediani, Maria; Otkin, Jason A. and Griffin, Sarah M. A stochastic parameter perturbation method to represent uncertainty in a microphysics scheme. Monthly Weather Review, Volume 149, Issue 5, 2021, pp.1481-1497. Reprint # 8729.
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9. Griffin, Sarah M.; Otkin, Jason A.; Thompson, Gregory; Frediani, Maria; Berner, Judith and Kong, Fanyou. Assessing the impact of stochastic perturbations in cloud microphysics using GOES-16 infrared brightness temperatures. Monthly Weather Review, Volume 148, Issue 8, 2020, pp.3111-3137. Reprint # 8608.
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10. Griffin, Sarah M.; Otkin, Jason A.; Thompson, Gregory; Frediani, Maria; Berner, Judith and Kong, Fanyou. Assessing the impact of stochastic perturbations in cloud microphysics using GOES-16 infrared brightness temperatures. Monthly Weather Review, Volume 148, Issue 8, 2020, pp.3111-3137. Reprint # 8608.
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11. Griffin, Sarah M. and Velden, Christopher S. Hazard avoidance products for convectively-induced turbulence in support of high-altitude Global Hawk aircraft missions. Pure and Applied Geophysics, Volume 176, Issue 5, 2019, pp.2045-2055. Reprint # 8375.
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12. Gultepe, Ismail; Sharman, R.; Williams, Paul D.; Zhou, Binbin; Ellrod, G.; Minnis, P.; Trier, S.; Griffin, S.; Yum, Seong. S.; Gharabaghi, B.; Feltz, W.; Temimi, M.; Pu, Zhaoxia; Storer, L. N.; Kneringer, P.; Weston, M. J.; Chuang, Hui-ya; Thobois, L.; Dimri, A. P.; Dietz, S. J.; Franca, Gutemberg B.; Almeida, M. V. and Albquerque Neto, F. L. A review of high impact weather for aviation meteorology. Pure and Applied Geophysics, Volume 176, Issue 5, 2019, pp.1869-1921. Reprint # 8386.
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13. Griffin, Sarah M. and Velden, Christopher S. Hazard avoidance products for convectively-induced turbulence in support of high-altitude Global Hawk aircraft missions. Pure and Applied Geophysics, Volume 176, Issue 5, 2019, pp.2045-2055. Reprint # 8375.
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14. Gultepe, Ismail; Sharman, R.; Williams, Paul D.; Zhou, Binbin; Ellrod, G.; Minnis, P.; Trier, S.; Griffin, S.; Yum, Seong. S.; Gharabaghi, B.; Feltz, W.; Temimi, M.; Pu, Zhaoxia; Storer, L. N.; Kneringer, P.; Weston, M. J.; Chuang, Hui-ya; Thobois, L.; Dimri, A. P.; Dietz, S. J.; Franca, Gutemberg B.; Almeida, M. V. and Albquerque Neto, F. L. A review of high impact weather for aviation meteorology. Pure and Applied Geophysics, Volume 176, Issue 5, 2019, pp.1869-1921. Reprint # 8386.
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15. Wimmers, Anthony; Griffin, S. M.; Bachmeier, A. S.; Gerth, J. and Lindstrom, S. Resolving gravity waves with Himawari-8 and GOES-16 imagery at the new limit of resolution and the application to aircraft-scale turbulence. Aviation, Range, and Aerospace Meteorology Special Symposium, 6th, Houston, TX, 7-11 January 2018. American Meteorological Society, Boston, MA, 2018, Abstract 1.4.
16. Velden, Christopher S.; Schumacher, A. B.; Knaff, J. A.; Folmer, M. J.; Olander, T.; Lindsey, D. T.; Miller, S. D.; Griffin, S. M.; Dunion, J. P.; DeMaria, M.; Brennan, M. J. and Beven, J. L. GOES-16: Much improved 'glasses' to view the tropics. Conference on Hurricanes and Tropical Meteorology, 33rd, Ponte Vedra, FL, 16-20 April 2018. American Meteorological Society, Boston, MA, 2018, Abstract 244.
17. Griffin, Sarah M.; Rozoff, C. M. and Velden, C. S. Real time probabilistic prediction of tropical cyclone rapid intensification using statistical models enhanced with satellite passive microwave predictors. Conference on Hurricanes and Tropical Meteorology, 33rd, Ponte Vedra, FL, 16-20 April 2018. American Meteorological Society, Boston, MA, 2018, Abstract 264.
18. Otkin, Jason; Griffin, S. M.; Thompson, G.; Berner, J.; Kong, F. and Frediani, M. E. . Assessing the impact of stochastic cloud microphysics in high-resolution models using GOES-16 infrared brightness temperatures. Conference on Numerical Weather Prediction, 25th, Denver, CO, 4-8 June 2018. American Meteorological Society, Boston, MA, 2018, Abstract 9B.4.
19. Wimmers, Anthony; Griffin, Sarah; Gerth, Jordan; Bachmeier, Scott and Lindstrom, Scott. Observations of gravity waves with high-pass filtering in the new generation of geostationary imagers and their relation to aircraft turbulence. Weather and Forecasting, Volume 33, Issue 1, 2018, pp.139-144. Reprint # 8275.
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20. Velden, Christopher S.; Schumacher, A. B.; Knaff, J. A.; Folmer, M. J.; Olander, T.; Lindsey, D. T.; Miller, S. D.; Griffin, S. M.; Dunion, J. P.; DeMaria, M.; Brennan, M. J. and Beven, J. L. GOES-16: Much improved 'glasses' to view the tropics. Conference on Hurricanes and Tropical Meteorology, 33rd, Ponte Vedra, FL, 16-20 April 2018. American Meteorological Society, Boston, MA, 2018, Abstract 244.
21. Griffin, Sarah M.; Rozoff, C. M. and Velden, C. S. Real time probabilistic prediction of tropical cyclone rapid intensification using statistical models enhanced with satellite passive microwave predictors. Conference on Hurricanes and Tropical Meteorology, 33rd, Ponte Vedra, FL, 16-20 April 2018. American Meteorological Society, Boston, MA, 2018, Abstract 264.
22. Wimmers, Anthony; Griffin, S. M.; Bachmeier, A. S.; Gerth, J. and Lindstrom, S. Resolving gravity waves with Himawari-8 and GOES-16 imagery at the new limit of resolution and the application to aircraft-scale turbulence. Aviation, Range, and Aerospace Meteorology Special Symposium, 6th, Houston, TX, 7-11 January 2018. American Meteorological Society, Boston, MA, 2018, Abstract 1.4.
23. Otkin, Jason; Griffin, S. M.; Thompson, G.; Berner, J.; Kong, F. and Frediani, M. E. . Assessing the impact of stochastic cloud microphysics in high-resolution models using GOES-16 infrared brightness temperatures. Conference on Numerical Weather Prediction, 25th, Denver, CO, 4-8 June 2018. American Meteorological Society, Boston, MA, 2018, Abstract 9B.4.
24. Wimmers, Anthony; Griffin, Sarah; Gerth, Jordan; Bachmeier, Scott and Lindstrom, Scott. Observations of gravity waves with high-pass filtering in the new generation of geostationary imagers and their relation to aircraft turbulence. Weather and Forecasting, Volume 33, Issue 1, 2018, pp.139-144. Reprint # 8275.
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25. Griffin, Sarah M.; Otkin, J. A.; Rozoff, C. M.; Sieglaff, J.; Cronce, L. M.; Alexander, C.; Bullock, R.; Gotway, J. H.; Jensen, T. L. and Wolff, J. K. Object-based verification for the HRRR model using simulated and observed GOES infrared brightness temperatures. Conference on Weather Analysis and Forecasting, 28th, and Conference on Numerical Weather Prediction, 24th, Seattle, WA, 21-26 January 2017. American Meteorological Society, Boston, MA, 2017, Abstract 612.