Search Results - "Sieglaff, Justin M."

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  1. 1

    Nowcasting Convective Storm Initiation Using Satellite-Based Box-Averaged Cloud-Top Cooling and Cloud-Type Trends by Sieglaff, Justin M., Cronce, Lee M., Feltz, Wayne F., Bedka, Kristopher M., Pavolonis, Michael J., Heidinger, Andrew K.

    “…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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    Journal Article
  2. 2

    Evolution of Severe and Nonsevere Convection Inferred from GOES-Derived Cloud Properties by Cintineo, John L., Pavolonis, Michael J., Sieglaff, Justin M., Heidinger, Andrew K.

    “…Geostationary satellites [e.g., the Geostationary Operational Environmental Satellite (GOES)] provide high temporal resolution of cloud development and motion,…”
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    Journal Article
  3. 3

    Improving Satellite-Based Convective Cloud Growth Monitoring with Visible Optical Depth Retrievals by Sieglaff, Justin M., Cronce, Lee M., Feltz, Wayne F.

    “…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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    Journal Article
  4. 4

    Probability of Convectively Induced Turbulence Associated with Geostationary Satellite–Inferred Cloud-Top Cooling by Monette, Sarah A., Sieglaff, Justin M.

    “…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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    Journal Article
  5. 5
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    Seasonal Analysis of Cloud Objects in the High-Resolution Rapid Refresh (HRRR) Model Using Object-Based Verification by Griffin, Sarah M., Otkin, Jason A., Rozoff, Christopher M., Sieglaff, Justin M., Cronce, Lee M., Alexander, Curtis R., Jensen, Tara L., Wolff, Jamie K.

    “…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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    Journal Article
  7. 7

    Seasonal Analysis of Cloud Objects in the High-Resolution Rapid Refresh (HRRR) Model Using Object-Based Verification by Griffin, Sarah M, Otkin, Jason A, Rozoff, Christopher M, Sieglaff, Justin M, Cronce, Lee M, Alexander, Curtis R, Jensen, Tara L, Wolff, Jamie K

    “…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…”
    Get full text
    Journal Article