Derek Stratman
Derek is a CIWRO research scientist on the Data Assimilation and Modeling Team within NSSL's FRDD working on the Warn-on-Forecast project. His current research generally involves working on the next version of the NSSL’s Warn-on-Forecast system (WoFS). His work is primarily focused on improving storm-scale analyses and short-term forecasts by advancing and developing novel data assimilation and modeling techniques.
More specifically, he is currently:
- working with others in the WoF group to develop and test a 1-km version of WoFS (WoFS-1km)
- exploring and testing stochastic physics perturbation methods and their potential beneficial impacts for WoFS
- investigating the impact of correcting storm displacement errors in the WoFS using a version of the feature-alignment technique (FAT) that I developed
- exploring ways to best assimilate temporally-frequent (every ~1 min) NSSL phased-array radar (PAR) volumetric data into the WoFS
Degree (Ph.D, M.S, B.A, etc.) | Major Subject | University or College Name | Year (YYYY) (optional) |
---|---|---|---|
B.S. | Meteorology | Valparaiso University | 2009 |
M.S. | Meteorology | University of Oklahoma | 2011 |
Ph.D. | Meteorology | University of Oklahoma | 2016 |
- ensemble, storm-scale (< 4 km) analyses and short-term (< 6 h) forecasts of severe convective weather
- ensemble data assimilation techniques/methods
- stochastic physics perturbation methods
- phased-array radar data assimilation
- storm-scale predictability
- forecast verification using traditional, spatial, and object-based techniques
2023: Results from a pseudo-real-time next-generation 1-km Warn-on-Forecast System prototype. Weather and Forecasting, 38, 307–319, doi:10.1175/WAF-D-22-0080.1
, , , , , ,2022: Testing the Feature Alignment Technique (FAT) in an Ensemble-Based Data Assimilation and Forecast System with Multiple-Storm Scenarios. Monthly Weather Review, 150, 8, 2033–2054, doi:10.1175/MWR-D-21-0289.1
, ,2020: Optimal Temporal Frequency of NSSL Phased Array Radar Observations for an Experimental Warn-on-Forecast System. Weather and Forecasting, 35, 193–214, doi:10.1175/WAF-D-19-0165.1
, , , , , , ,