Search Results - "Sieglaff, Justin M."
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Nowcasting Convective Storm Initiation Using Satellite-Based Box-Averaged Cloud-Top Cooling and Cloud-Type Trends
Published in Journal of applied meteorology and climatology (01-01-2011)“…Short-term (0–1 h) convective storm nowcasting remains a problem for operational weather forecasting, and convective storms pose a significant monetary sink…”
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Evolution of Severe and Nonsevere Convection Inferred from GOES-Derived Cloud Properties
Published in Journal of applied meteorology and climatology (01-09-2013)“…Geostationary satellites [e.g., the Geostationary Operational Environmental Satellite (GOES)] provide high temporal resolution of cloud development and motion,…”
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Improving Satellite-Based Convective Cloud Growth Monitoring with Visible Optical Depth Retrievals
Published in Journal of applied meteorology and climatology (01-02-2014)“…The use of geostationary satellites for monitoring the development of deep convective clouds has been recently well documented. One such approach, the…”
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Probability of Convectively Induced Turbulence Associated with Geostationary Satellite–Inferred Cloud-Top Cooling
Published in Journal of applied meteorology and climatology (01-02-2014)“…The probability of turbulence in the region of identified cloud-top cooling (CTC) from a satellite-based algorithm is calculated. It is found that the overall…”
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DEMONSTRATION OF A GOES-R SATELLITE CONVECTIVE TOOLKIT TO “BRIDGE THE GAP” BETWEEN SEVERE WEATHER WATCHES AND WARNINGS: An Example from the 20 May 2013 Moore, Oklahoma, Tornado Outbreak
Published in Bulletin of the American Meteorological Society (01-01-2016)“…With the launch of the Geostationary Operational Environmental Satellite–R (GOES-R) series in 2016, there will be continuity of observations for the current…”
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Seasonal Analysis of Cloud Objects in the High-Resolution Rapid Refresh (HRRR) Model Using Object-Based Verification
Published in Journal of applied meteorology and climatology (01-08-2017)“…In this study, object-based verification using the method for object-based diagnostic evaluation(MODE) is used to assess the accuracy of cloud-cover forecasts…”
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Seasonal Analysis of Cloud Objects in the High-Resolution Rapid Refresh (HRRR) Model Using Object-Based Verification
Published in Journal of applied meteorology and climatology (01-08-2017)“…In this study, object-based verification using the method for object-based diagnostic evaluation (MODE) is used to assess the accuracy of cloud-cover forecasts…”
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