Limitations of Short-Term Thunderstorm Forecasts from Convection-Allowing Models with 3-km Horizontal Grid Spacing

Abstract Forecasts from a 1-km horizontal grid spacing Warn-on-Forecast System (WoFS-1km) prototype are compared to a 3-km WoFS (WoFS-3km) for 23 days when high-impact events occurred in 2022 and 2023. Composite reflectivity forecasts are verified using object-based verification. The probability of detection (POD) is significantly higher in WoFS-1km than in WoFS-3km for observed objects less than 400 km 2 in area, and false alarm ratio (FAR) is significantly lower in WoFS-1km than in WoFS-3km for forecast objects less than 1500 km 2 in area. This higher POD in WoFS-1km is consistent for all lead times while lower FAR is most pronounced in the first 90–120 min of the forecast. It is shown that improvements in WoFS-1km POD relative to WoFS-3km POD is dependent on object shape as well as size, with significant improvement in WoFS-1km forecasts of storms with a minor axis length less than approximately 24 km. WoFS-1km is found to produce improved POD for area bins representing 67% of the total thunderstorm objects in the dataset. A case study example of WoFS-1km and WoFS-3km forecasts demonstrates the ability of WoFS-1km to better resolve a violent tornado-producing supercell occurring on 10 December 2021. The supercell’s composite reflectivity object area was less than 400 km 2 for several hours, during which WoFS-1km produced improved predictions of the supercell track and maintenance. Once the storm surpassed this area threshold, WoFS-3km produced similar forecasts to WoFS-1km. The statistical findings and qualitative analysis demonstrate benefits of employing reduced horizontal grid spacing for short-term prediction of thunderstorms with convection-allowing models. Significance Statement This study concludes that an ensemble data assimilation and modeling system with 1-km versus 3-km horizontal grid spacing better resolves smaller thunderstorms (<400 km 2 ) while also reducing false alarms of both small and large thunderstorms (of up to 1500 km 2 ). Better resolution of smaller thunderstorms is directly applicable to a high-impact severe event that produced multiple significant tornadoes.

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Publication Details

Journal
Weather and Forecasting
Published
2024-12-20
DOI
https://doi.org/10.1175/waf-d-24-0100.1
Citations
1
Primary Topic
Meteorological Phenomena and Simulations
Type
article
Field-Weighted Citation Impact
0.38
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article

Limitations of Short-Term Thunderstorm Forecasts from Convection-Allowing Models with 3-km Horizontal Grid Spacing

Yunheng Wang, Nusrat Yussouf, Christopher A. Kerr, Brian C. Matilla et al.
1 citations
Weather and Forecasting
Meteorological Phenomena and Simulations
0.38
article

Limitations of Short-Term Thunderstorm Forecasts from Convection-Allowing Models with 3-km Horizontal Grid Spacing

Yunheng Wang, Nusrat Yussouf, Christopher A. Kerr, Brian C. Matilla, Derek R. Stratman, Patrick S. Skinner
article en
1 citations

Abstract

Abstract Forecasts from a 1-km horizontal grid spacing Warn-on-Forecast System (WoFS-1km) prototype are compared to a 3-km WoFS (WoFS-3km) for 23 days when high-impact events occurred in 2022 and 2023. Composite reflectivity forecasts are verified using object-based verification. The probability of detection (POD) is significantly higher in WoFS-1km than in WoFS-3km for observed objects less than 400 km 2 in area, and false alarm ratio (FAR) is significantly lower in WoFS-1km than in WoFS-3km for forecast objects less than 1500 km 2 in area. This higher POD in WoFS-1km is consistent for all lead times while lower FAR is most pronounced in the first 90–120 min of the forecast. It is shown that improvements in WoFS-1km POD relative to WoFS-3km POD is dependent on object shape as well as size, with significant improvement in WoFS-1km forecasts of storms with a minor axis length less than approximately 24 km. WoFS-1km is found to produce improved POD for area bins representing 67% of the total thunderstorm objects in the dataset. A case study example of WoFS-1km and WoFS-3km forecasts demonstrates the ability of WoFS-1km to better resolve a violent tornado-producing supercell occurring on 10 December 2021. The supercell’s composite reflectivity object area was less than 400 km 2 for several hours, during which WoFS-1km produced improved predictions of the supercell track and maintenance. Once the storm surpassed this area threshold, WoFS-3km produced similar forecasts to WoFS-1km. The statistical findings and qualitative analysis demonstrate benefits of employing reduced horizontal grid spacing for short-term prediction of thunderstorms with convection-allowing models. Significance Statement This study concludes that an ensemble data assimilation and modeling system with 1-km versus 3-km horizontal grid spacing better resolves smaller thunderstorms (<400 km 2 ) while also reducing false alarms of both small and large thunderstorms (of up to 1500 km 2 ). Better resolution of smaller thunderstorms is directly applicable to a high-impact severe event that produced multiple significant tornadoes.

Weather and ForecastingVol. 40(1)
Cooperative Institute for Mesoscale Meteorological Studies (US), NOAA National Severe Storms Laboratory (US), University of Oklahoma (US)
Climate action
Openalex Percentile: Top 37%
Meteorological Phenomena and Simulations
0.38
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