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The Spatial Area and Other Attributes of GOES-16 Overshooting Tops as Indicators of Potential Hail.

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Title: The Spatial Area and Other Attributes of GOES-16 Overshooting Tops as Indicators of Potential Hail.
Authors: Christo, Gabrielle1 (AUTHOR) gabbyc26@sbcglobal.net, Trapp, Robert1 (AUTHOR), Nesbitt, Stephen1 (AUTHOR), Di Girolamo, Larry1 (AUTHOR), Wolff, Edward C.1 (AUTHOR), Homeyer, Cameron R.2 (AUTHOR), Hong, Yulan3 (AUTHOR)
Source: Monthly Weather Review. Oct2025, Vol. 153 Issue 10, p2121-2137. 17p.
Subjects: Hailstorms, Risk assessment, Geostationary satellites, Quantitative research, Meteorological precipitation measurement, Forecasting methodology, Convective clouds
Geographic Terms: United States
Abstract: Recent studies using idealized simulations suggest that storms that generate large hail should exhibit deep and wide overshooting tops (OTs). Our work herein extends these and related studies to explore possible relationships between observed OT characteristics and hail size observed at the ground. All hail reports from 2018 through 2022 across the contiguous United States were organized using a grid-hour approach. An OT detection algorithm applied to GOES-16 data was used to find the nearest OT to each selected report. OT area (OTA), OT depth (OTD), and OT volume (OTV) were quantified and statistically related to hail size. OTA tended to exhibit a statistically significant difference across the three hail size groups (nonsevere, severe, and significant severe), with a decrease with increasing hail size. OTD also tended to exhibit a statistically significant difference across the hail size groups, with an increase with increasing hail size. A maximum expected hail size (MESH)-based report proxy was used to explore possible dependencies of these results on hail reports; the general tendencies of increased hail size for decreased OTA and increased OTD were also found using this proxy. Such tendencies were additionally found using a dataset limited to hail associated with supercells. Radar-derived OTA for this limited dataset was also explored and tended to increase with hail size. Finally, possible relationships between hail size and area of a proximal, midtropospheric radar reflectivity core were evaluated and found to be positive and statistically significant. Applications of these findings for risk assessment and operational forecasting are possible but will require further analyses. [ABSTRACT FROM AUTHOR]
Copyright of Monthly Weather Review is the property of American Meteorological Society and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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  Data: The Spatial Area and Other Attributes of GOES-16 Overshooting Tops as Indicators of Potential Hail.
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  Data: Recent studies using idealized simulations suggest that storms that generate large hail should exhibit deep and wide overshooting tops (OTs). Our work herein extends these and related studies to explore possible relationships between observed OT characteristics and hail size observed at the ground. All hail reports from 2018 through 2022 across the contiguous United States were organized using a grid-hour approach. An OT detection algorithm applied to GOES-16 data was used to find the nearest OT to each selected report. OT area (OTA), OT depth (OTD), and OT volume (OTV) were quantified and statistically related to hail size. OTA tended to exhibit a statistically significant difference across the three hail size groups (nonsevere, severe, and significant severe), with a decrease with increasing hail size. OTD also tended to exhibit a statistically significant difference across the hail size groups, with an increase with increasing hail size. A maximum expected hail size (MESH)-based report proxy was used to explore possible dependencies of these results on hail reports; the general tendencies of increased hail size for decreased OTA and increased OTD were also found using this proxy. Such tendencies were additionally found using a dataset limited to hail associated with supercells. Radar-derived OTA for this limited dataset was also explored and tended to increase with hail size. Finally, possible relationships between hail size and area of a proximal, midtropospheric radar reflectivity core were evaluated and found to be positive and statistically significant. Applications of these findings for risk assessment and operational forecasting are possible but will require further analyses. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Monthly Weather Review is the property of American Meteorological Society and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.1175/MWR-D-24-0150.1
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      – SubjectFull: Risk assessment
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      – SubjectFull: Geostationary satellites
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      – SubjectFull: Quantitative research
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      – SubjectFull: Meteorological precipitation measurement
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      – SubjectFull: Convective clouds
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      – SubjectFull: United States
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      – TitleFull: The Spatial Area and Other Attributes of GOES-16 Overshooting Tops as Indicators of Potential Hail.
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              Text: Oct2025
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