معرفی
Brian Ancell, Associate Professor at Texas Tech University's Department of Geosciences, focuses on numerical weather prediction, data assimilation, and high-impact weather event predictability. His work spans severe convection, winter precipitation, and wind power forecasting, with an emphasis on ensemble and adjoint sensitivity analysis.
Education:
- B.S., Civil Engineering, University of Illinois, Urbana-Champaign (1998)
- Ph.D., Atmospheric Science, University of Washington, Seattle (2006)
Research Interests include predictability of dryline-induced convective outbreaks, land-falling tropical cyclones, freezing precipitation events, and wind energy applications. He develops operational tools for the National Weather Service using ensemble sensitivity analysis and multi-scale data assimilation.
Recent Publications highlight ensemble-based methods for wind ramp forecasting, chaos seeding in NWP perturbations, and non-local weather modification by wind farms. His 15 most recent articles reflect trends in atmospheric modeling, renewable energy integration, and sensitivity-based observation targeting.
Scientific Awards:
- NSF CAREER award for quantifying inadvertent weather modification
- Featured in American Geophysical Union Texas State Research Highlights (2011)
Advising and Grants:
- Advises 4 PhD students and 11 Master’s students
- Principal Investigator for $369,333 (NOAA), $721,883 (NSF), $200,000 (Shell WindEnergy), and multiple UCAR/DOE grants
Labs and Teams: Maintains the TTU real-time deterministic and ensemble weather prediction systems on a 1000-core cluster. Collaborates with NCAR, National Weather Service, and Department of Energy on the Wind Forecast Improvement Project.
