Ryan Sobash

Research activity per year

Education/Academic qualification

Atmospheric Science/Meteorology, BS, Pennsylvania State University-Main Campus

Atmospheric Science/Meteorology, PhD, University of Oklahoma Norman Campus

Atmospheric Science/Meteorology, MS, University of Oklahoma Norman Campus

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37 Article
1 Paper
1 Review article

Evaluating Machine Learning–Based Probabilistic Lightning Forecasts Using the HRRR: A Comparison to Three Forecast Baselines
Sobash, R. A. & Ahijevych, D. A., May 2025, In: Weather and Forecasting. 40, 5, p. 759-774 16 p.
Research output: Contribution to journal › Article › peer-review

Open Access
Evaluating Machine Learning–Based Probabilistic Convective Hazard Forecasts Using The HRRR: Quantifying Hazard Predictability and Sensitivity to Training Choices
Sobash, R. A. & Ahijevych, D. A., Oct 2024, In: Weather and Forecasting. 39, 10, p. 1399-1415 17 p.
Research output: Contribution to journal › Article › peer-review
4 Scopus citations
Diagnosing Storm Mode with Deep Learning in Convection-Allowing Models
Sobash, R. A., Gagne, D. J., Becker, C. L., Ahijevych, D., Gantos, G. N. & Schwartz, C. S., Aug 2023, In: Monthly Weather Review. 151, 8, p. 2009-2027 19 p.
Research output: Contribution to journal › Article › peer-review
11 Scopus citations
A comparison of neural-network and surrogate-severe probabilistic convective hazard guidance derived from a convection-allowing model
Sobash, R. A., Romine, G. S. & Schwartz, C. S., Oct 2020, In: Weather and Forecasting. 35, 5, p. 1981-2000 20 p.
Research output: Contribution to journal › Article › peer-review

Open Access
29 Scopus citations
Improving Medium Range Severe Weather Prediction through Transformer Post-processing of AI Weather Forecasts
Hua, Z., Sobash, R., Gagne, D. J. I., Sha, Y. & Anderson-Frey, A., May 1 2025, (E-pub ahead of print) In: arXiv.
Research output: Contribution to journal › Article

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Ryan Sobash

Personal profile

Education/Academic qualification

Fingerprint

Publications

Evaluating Machine Learning–Based Probabilistic Lightning Forecasts Using the HRRR: A Comparison to Three Forecast Baselines

Evaluating Machine Learning–Based Probabilistic Convective Hazard Forecasts Using The HRRR: Quantifying Hazard Predictability and Sensitivity to Training Choices

Diagnosing Storm Mode with Deep Learning in Convection-Allowing Models

A comparison of neural-network and surrogate-severe probabilistic convective hazard guidance derived from a convection-allowing model

Improving Medium Range Severe Weather Prediction through Transformer Post-processing of AI Weather Forecasts