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Griffin, S. M., Otkin, J. A., Thompson, G., Frediani, M., Berner, J., & Kong, F., 2020: Assessing the Impact of Stochastic Perturbations in Cloud Microphysics Using Goes-16 Infrared Brightness Temperatures. Monthly Weather Review, 148(8), 3111–3137.
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Cerrai, D., Wanik, D. W., Bhuiyan, M. A. E., Zhang, X., Yang, J., Frediani, M. E., & Anagnostou, E. N., 2019: Predicting Storm Outages through New Representations of Weather and Vegetation. IEEE Access,7, 29639–29654.
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Wanik, D., Anagnostou, E., Astitha, M., Hartman, B., Lackmann, G., Yang, J., Cerrai, D., He, J., & Frediani, M., 2018: A Case Study on Power Outage Impacts from Future Hurricane Sandy Scenarios. Journal of Applied Meteorology and Climatology, 57(1), 51–79.
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Frediani, M. E., Hopson, T. M., Hacker, J. P., Anagnostou, E. N., Delle Monache, L., & Vandenberghe, F., 2017: Object-Based Analog Forecasts for Surface Wind Speed. Monthly Weather Review, 145(12), 5083–5102.
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He, J., Wanik, D. W., Hartman, B. M., Anagnostou, E. N., Astitha, M., & Frediani, M. E., 2017: Nonparametric Tree-Based Predictive Modeling of Storm Outages on An Electric Distribution Network. Risk Analysis, 37(3), 441–458.
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Frediani, M. E., Hacker, J. P., Anagnostou, E. N., & Hopson, T., 2016: Evaluation of PBL Parameterizations for Modeling Surface Wind Speed During Storms in the Northeast United States. Weather and Forecasting, 31(5), 1511–1528.
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Wanik, D., Anagnostou, E., Hartman, B., Frediani, M., & Astitha, M., 2015: Storm Outage Modeling for an Electric Distribution Network in Northeastern USA. Natural Hazards, 79(2), 1359–1384.
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Zhang, X., Anagnostou, E. N., Frediani, M., Solomos, S., & Kallos, G., 2013: Using NWP Simulations in Satellite Rainfall Estimation of Heavy Precipitation Events over Mountainous Areas. Journal of Hydrometeorology, 14(6), 1844–1858.
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Frediani, M., Thompson, G., Berner, J., Otkin, J., Griffin, S., & Kong, F., 2020: Using a Stochastic Parameter Perturbation to Represent Process-Based Uncertainty in a Microphysics Parameterization. 100th American Meteorological Society Annual Meeting.
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Hopson, T., Knievel, J. C., & Frediani, M., 2020: Exploring the Predictability of Synoptically Induced Cold Air Damming in the Eastern US. 100th American Meteorological Society Annual Meeting.
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Juliano, T. W., Frediani, M. E., Kosovic, B., Knievel, J. C., Munoz, P. J., & Muñoz-Esparza, D., 2020: A Wildland Fire Spotting Parameterization for the Weather Research and Forecasting Model. 100th American Meteorological Society Annual Meeting.
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Hopson, T. M., Knievel, J. C., & Frediani, M. E., 2019: Forecasting Eastern US Cold Air Damming Using a Multi-Scale Dynamical-Statistical Hybrid Approach. AGUFM, 2019, A34C–07.
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Otkin, J., Griffin, S., Thompson, G., Frediani, M. E., Berner, J., & Kong, F., 2019: Assessing the Impact of Stochastic Cloud Microphysics in High-Resolution Models Using Goes-16 Infrared Brightness Temperatures. 99th American Meteorological Society Annual Meeting.
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Thompson, G., Berner, J., Wolff, J. K., Otkin, J., Griffin, S., Kong, F., & Frediani, M. E., 2018: Applying Stochastic Parameter Perturbations Directly into a WRF Microphysics Parameterization and Evaluating its Impacts Using Goes-16 Satellite Data. 15th Conference on Cloud Physics/15th Conference on Atmospheric Radiation.
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Frediani, M. E., & Stull, R., 2017: Extending the Predictability of Rain Shadow Effects Using Spatial Analogs. AGUFM, 2017, A11J–2013.
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Cerrai, D., Anagnostou, E. N., Wanik, D. W., Bhuiyan, M. A. E., Zhang, X., Yang, J., Astitha, M., Frediani, M. E., Schwartz, C. S., & Pardakhti, M., 2016: Enhanced Outage Prediction Modeling for Strong Extratropical Storms and Hurricanes in the Northeastern United States. AGUFM, 2016, NH51B–1930.
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Anagnostou, E. N., Wanik, D. W., Astitha, M., Frediani, M. E., & Yang, J., 2015: Evaluation of Power Outages in Connecticut During Hypothetical Future Hurricane Sandy Scenarios. AGUFM, 2015.
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Frediani, M. E., Hacker, J., Anagnostou, E. N., & Hopson, T. M., 2015: Evaluation of a Sub-Grid Topographic Drag Parameterizations for Modeling Surface Wind Speed During Storms Over Complex Terrain in the Northeast US. AGUFM, 2015, A41G–0136.
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Frediani, M., Hopson, T., Anagnostou, E., & Hacker, J., 2015: The Object-Analogue Approach for Probabilistic Forecasting. AGUFM, 2015, NG33A–1850.
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Hopson, T. M., Frediani, M. E., Anagnostou, E. N., & Hacker, J., 2015: The Object-Analogue Approach for Probabilistic Forecasting. AGUFM, 2015.
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Wanik, D. W., Anagnostou, E. N., Hartman, B., Frediani, M. E., & Astitha, M., 2015: Using Predictive Analytics to Predict Power Outages from Severe Weather. AGUFM, 2015, IN23C–1737.
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Wanik, D., Anagnostou, E., Astitha, M., Frediani, M., & Yang, J., 2015: Evaluation of Power Outages in Connecticut During Hypothetical Future Hurricane Sandy Scenarios. AGUFM, 2015, NH13D–1970.