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Relationship of Convection Initiation and Subsequent Storm Strength to Ensemble Simulated Environmental Conditions during IOP3b of VORTEX Southeast 2017

CITE Title : Relationship of Convection Initiation and Subsequent Storm Strength to Ensemble Simulated Environmental Conditions during IOP3b of VORTEX Southeast 2017 Personal Author(s) : Trier, Stanley B.;Romine, Glen S.;Ahijevych, David A.;Sobash, Ryan A.;Chasteen, Manda B.; Published Date : 2021 Source : Monthly Weather Review, 149(10), 3265-3287 DOI : https://doi.org/10.1175/mwr-d-21-0111.1 Journal Title : Monthly Weather Review Trier, Stanley B. et al. (2021). Relationship of Convection Initiation and Subsequent Storm Strength to Ensemble Simulated Environmental Conditions during IOP3b of VORTEX Southeast 2017. 149(10). https://doi.org/10.1175/mwr-d-21-0111.1 Trier, Stanley B. et al. "Relationship of Convection Initiation and Subsequent Storm Strength to Ensemble Simulated Environmental Conditions during IOP3b of VORTEX Southeast 2017" 149, no. 10 (2021), https://doi.org/10.1175/mwr-d-21-0111.1 Trier, Stanley B. et al. "Relationship of Convection Initiation and Subsequent Storm Strength to Ensemble Simulated Environmental Conditions during IOP3b of VORTEX Southeast 2017" vol. 149, no. 10, 2021, https://doi.org/10.1175/mwr-d-21-0111.1 Export RIS Citation Information.

:

Trier, Stanley B. ;

Romine, Glen S.

2021 | Monthly Weather Review, 149(10), 3265-3287

:

A 50-member convection-allowing ensemble was used to examine environmental factors influencing afternoon convection initiation (CI) and subsequent sev...
Composite Mesoscale Environmental Conditions Influencing Tornado Frequencies in Landfalling Tropical Cyclones

CITE Title : Composite Mesoscale Environmental Conditions Influencing Tornado Frequencies in Landfalling Tropical Cyclones Personal Author(s) : Trier, Stanley B.;Ahijevych, David A.;Carroll-Smith, Dereka;Bryan, George H.;Edwards, Roger; Published Date : 2023 Source : Weather and Forecasting (2023) DOI : https://doi.org/10.1175/waf-d-22-0227.1 Journal Title : Weather and Forecasting Trier, Stanley B. et al. (2023). Composite Mesoscale Environmental Conditions Influencing Tornado Frequencies in Landfalling Tropical Cyclones. https://doi.org/10.1175/waf-d-22-0227.1 Trier, Stanley B. et al. "Composite Mesoscale Environmental Conditions Influencing Tornado Frequencies in Landfalling Tropical Cyclones" (2023), https://doi.org/10.1175/waf-d-22-0227.1 Trier, Stanley B. et al. "Composite Mesoscale Environmental Conditions Influencing Tornado Frequencies in Landfalling Tropical Cyclones" , 2023, https://doi.org/10.1175/waf-d-22-0227.1 Export RIS Citation Information.

:

Trier, Stanley B. ;

Ahijevych, David A.

2023 | Weather and Forecasting (2023)

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Spatial patterns of tropical cyclone tornadoes (TCTs), and their relationship to patterns of mesoscale predictors within United States landfalling tro...
Evaluating Machine Learning–Based Probabilistic Lightning Forecasts Using the HRRR: A Comparison to Three Forecast Baselines

CITE Title : Evaluating Machine Learning–Based Probabilistic Lightning Forecasts Using the HRRR: A Comparison to Three Forecast Baselines Personal Author(s) : Sobash, Ryan A.;Ahijevych, David A.; Published Date : 2025 Source : Weather and Forecasting, 40(5), 759-774 DOI : https://doi.org/10.1175/WAF-D-24-0140.1 Journal Title : Weather and Forecasting Sobash, Ryan A. and Ahijevych, David A. (2025). Evaluating Machine Learning–Based Probabilistic Lightning Forecasts Using the HRRR: A Comparison to Three Forecast Baselines. 40(5). https://doi.org/10.1175/WAF-D-24-0140.1 Sobash, Ryan A. and Ahijevych, David A. "Evaluating Machine Learning–Based Probabilistic Lightning Forecasts Using the HRRR: A Comparison to Three Forecast Baselines" 40, no. 5 (2025), https://doi.org/10.1175/WAF-D-24-0140.1 Sobash, Ryan A. and Ahijevych, David A. "Evaluating Machine Learning–Based Probabilistic Lightning Forecasts Using the HRRR: A Comparison to Three Forecast Baselines" vol. 40, no. 5, 2025, https://doi.org/10.1175/WAF-D-24-0140.1 Export RIS Citation Information.

:

Sobash, Ryan A. ;

Ahijevych, David A.

2025 | Weather and Forecasting, 40(5), 759-774

:

Probabilistic forecasts of lightning for the CONUS were generated by postprocessing the HRRR with neural networks (NNs). These NN probability forecast...
Evaluating Machine Learning–Based Probabilistic Convective Hazard Forecasts Using The HRRR: Quantifying Hazard Predictability and Sensitivity to Training Choices

CITE Title : Evaluating Machine Learning–Based Probabilistic Convective Hazard Forecasts Using The HRRR: Quantifying Hazard Predictability and Sensitivity to Training Choices Personal Author(s) : Sobash, Ryan A.;Ahijevych, David A.; Published Date : 2024 Source : Weather and Forecasting, 39(10), 1399-1415 DOI : https://doi.org/10.1175/WAF-D-23-0221.1 Journal Title : Weather and Forecasting Sobash, Ryan A. and Ahijevych, David A. (2024). Evaluating Machine Learning–Based Probabilistic Convective Hazard Forecasts Using The HRRR: Quantifying Hazard Predictability and Sensitivity to Training Choices. 39(10). https://doi.org/10.1175/WAF-D-23-0221.1 Sobash, Ryan A. and Ahijevych, David A. "Evaluating Machine Learning–Based Probabilistic Convective Hazard Forecasts Using The HRRR: Quantifying Hazard Predictability and Sensitivity to Training Choices" 39, no. 10 (2024), https://doi.org/10.1175/WAF-D-23-0221.1 Sobash, Ryan A. and Ahijevych, David A. "Evaluating Machine Learning–Based Probabilistic Convective Hazard Forecasts Using The HRRR: Quantifying Hazard Predictability and Sensitivity to Training Choices" vol. 39, no. 10, 2024, https://doi.org/10.1175/WAF-D-23-0221.1 Export RIS Citation Information.

:

Sobash, Ryan A. ;

Ahijevych, David A.

2024 | Weather and Forecasting, 39(10), 1399-1415

:

The High-Resolution Rapid Refresh (HRRR) model provides hourly updating forecasts of convective-scale phenomena, which can be used to infer the potent...