The Bowdle, South Dakota, Cyclic Tornadic Supercell of 22 May 2010: Surface Analysis of Rear-Flank Downdraft Evolution and Multiple Internal Surges von LEE, Bruce D, FINLEY, Catherine A, KARSTENS, Christopher D

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Near-Ground Pressure and Wind Measurements in Tornadoes von KARSTENS, Christopher D, SAMARAS, Timothy M, LEE, Bruce D, GALLUS, William A, FINLEY, Catherine A

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USING ARTIFICIAL INTELLIGENCE TO IMPROVE REAL-TIME DECISION-MAKING FOR HIGH-IMPACT WEATHER von McGovern, Amy, Elmore, Kimberly L., Gagne, David John, Haupt, Sue Ellen, Karstens, Christopher D., Lagerquist, Ryan, Smith, Travis, Williams, John K.

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Generating Probabilistic Next-Day Severe Weather Forecasts from Convection-Allowing Ensembles Using Random Forests von Loken, Eric D., Clark, Adam J., Karstens, Christopher D.

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Quasi-Operational Testing of Real-Time Storm-Longevity Prediction via Machine Learning von McGovern, Amy, Karstens, Christopher D., Smith, Travis, Lagerquist, Ryan

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A Climatology of Operational Storm-Based Warnings: A Geospatial Analysis von Harrison, David R., Karstens, Christopher D.

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WSR-88D Tornado Intensity Estimates. Part I: Real-Time Probabilities of Peak Tornado Wind Speeds von Smith, Bryan T., Thompson, Richard L., Speheger, Douglas A., Dean, Andrew R., Karstens, Christopher D., Anderson-Frey, Alexandra K.

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Evaluation of a Probabilistic Forecasting Methodology for Severe Convective Weather in the 2014 Hazardous Weather Testbed von Karstens, Christopher D., Stumpf, Greg, Ling, Chen, Hua, Lesheng, Kingfield, Darrel, Smith, Travis M., Correia, James, Calhoun, Kristin, Ortega, Kiel, Melick, Chris, Rothfusz, Lans P.

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Analysis of Tornado-Induced Tree Fall Using Aerial Photography from the Joplin, Missouri, and Tuscaloosa–Birmingham, Alabama, Tornadoes of 2011 von Karstens, Christopher D., Gallus, William A., Lee, Bruce D., Finley, Catherine A.

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Development of a Human–Machine Mix for Forecasting Severe Convective Events von Karstens, Christopher D., Correia, James, LaDue, Daphne S., Wolfe, Jonathan, Meyer, Tiffany C., Harrison, David R., Cintineo, John L., Calhoun, Kristin M., Smith, Travis M., Gerard, Alan E., Rothfusz, Lans P.

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WSR-88D Tornado Intensity Estimates. Part II: Real-Time Applications to Tornado Warning Time Scales von Smith, Bryan T., Thompson, Richard L., Speheger, Douglas A., Dean, Andrew R., Karstens, Christopher D., Anderson-Frey, Alexandra K.

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The Third Real-Time, Virtual Spring Forecasting Experiment to Advance Severe Weather Prediction Capabilities von Clark, Adam J., Jirak, Israel L., Gallo, Burkely T., Roberts, Brett, Knopfmeier, Kent H., Vancil, Jake, Jahn, David, Krocak, Makenzie, Karstens, Christopher D., Loken, Eric D., Dahl, Nathan A., Harrison, David, Imy, David, Wade, Andrew R., Milne, Jeffrey M., Hoogewind, Kimberly A., Flora, Montgomery, Martin, Joshua, Matilla, Brian C., Picca, Joseph C., Potvin, Corey K., Skinner, Patrick S., Burke, Patrick

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Forecasters’ Cognitive Task Analysis and Mental Workload Analysis of Issuing Probabilistic Hazard Information (PHI) during FACETs PHI Prototype Experiment von James, Joseph J. J., Ling, Chen, Karstens, Christopher D., Jr, James Correia, Calhoun, Kristin, Meyer, Tiffany, LaDue, Daphne

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A Comparison Between WarnGen System and Probabilistic Hazard Information System for Severe Weather Forecasting von Ling, Chen, Hua, Lesheng, Karstens, Christopher D., Stumpf, Gregory J., Smith, Travis M., Kuhlman, Kristin M., Rothfusz, Lans

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COLLABORATIVE EFFORTS BETWEEN THE UNITED STATES AND UNITED KINGDOM TO ADVANCE PREDICTION OF HIGH-IMPACT WEATHER von Kain, John S., Willington, Steve, Clark, Adam J., Weiss, Steven J., Weeks, Mark, Jirak, Israel L., Coniglio, Michael C., Roberts, Nigel M., Karstens, Christopher D., Wilkinson, Jonathan M., Knopfmeier, Kent H., Lean, Humphrey W., Ellam, Laura, Hanley, Kirsty, North, Rachel, Suri, Dan

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Breaking New Ground in Severe Weather Prediction: The 2015 NOAA/Hazardous Weather Testbed Spring Forecasting Experiment von Gallo, Burkely T., Clark, Adam J., Jirak, Israel, Kain, John S., Weiss, Steven J., Coniglio, Michael, Knopfmeier, Kent, Correia, James, Melick, Christopher J., Karstens, Christopher D., Iyer, Eswar, Dean, Andrew R., Xue, Ming, Kong, Fanyou, Jung, Youngsun, Shen, Feifei, Thomas, Kevin W., Brewster, Keith, Stratman, Derek, Carbin, Gregory W., Line, William, Adams-Selin, Rebecca, Willington, Steve

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The First Hybrid NOAA Hazardous Weather Testbed Spring Forecasting Experiment for Advancing Severe Weather Prediction von Clark, Adam J., Jirak, Israel L., Supinie, Timothy A., Knopfmeier, Kent H., Vancil, Jake, Jahn, David, Harrison, David, Brannan, Allison Lynn, Karstens, Christopher D., Loken, Eric D., Dahl, Nathan A., Krocak, Makenzie, Imy, David, Wade, Andrew R., Milne, Jeffrey M., Hoogewind, Kimberly A., Heinselman, Pamela L., Flora, Montgomery, Martin, Joshua, Matilla, Brian C., Picca, Joseph C., Skinner, Patrick S., Burke, Patrick

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Advancing Hazardous Weather Prediction in the 2024 NOAA Hazardous Weather Testbed Spring Forecasting Experiment von Clark, Adam J., Jirak, Israel L., Supinie, Timothy A., Knopfmeier, Kent H., Harrison, David, Vancil, Jake, Jahn, David, Karstens, Christopher D., Loken, Eric D., Silcott, Miranda, Martz, Ryan, Dahl, Nathan A., Imy, David, Wade, Andrew R., Milne, Jeffrey M., Hoogewind, Kimberly A., Ernst, Sean, Picca, Joseph C., Flournoy, Matthew, Baldwin, Michael, Heinselman, Pamela L., Flora, Montgomery, Martin, Joshua, Matilla, Brian C., Calhoun, Kristin, Galarneau, Thomas J., Stratman, Derek, Potvin, Corey, Skinner, Patrick S., Burke, Patrick

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USING ARTIFICIAL INTELLIGENCE TO IMPROVE REAL-TIME DECISION-MAKING FOR HIGH-IMPACT WEATHER: Modern artificial intelligence techniques can aid forecasters on a wide variety of high-... von McGovern, Amy, Elmore, Kimberly L, Gagne, David John, II, Haupt, Sue Ellen, Karstens, Christopher D, Lagerquist, Ryan, Smith, Travis, Williams, John K

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Using Artificial Intelligence to Improve Real-Time Decision-Making for High-Impact Weather von McGovern, Amy, Elmore, Kimberly L, Gagne, David John, Haupt, Sue Ellen, Karstens, Christopher D, Lagerquist, Ryan, Smith, Travis, Williams, John K

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