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David Jahn

David Jahn

David Jahn

Research
Scientist

djahn@ou.edu
david.jahn@noaa.gov
National Weather Center 2100

Education

  • PhD, Meteorology and Wind Energy Science, Engineering and Policy, Iowa State University
  • MS, Meteorology, University of Oklahoma
  • MS, Electrical Engineering, University of Colorado 
  • BS, Electrical Engineering, Oral Roberts University

Affiliated CIWRO Team

  • Storm Prediction Center

About

David began his academic career in the field of electrical engineering with a B.S. (1987) and M.S.E.E. (1991), but has spent most of his career in the field of atmospheric science.  He obtained an M.S. and Ph.D. in meteorology in 1995 and 2016 respectively. His 25+ years of professional experience as a research scientist as well as program manager has primarily been within academia, but he also has several years’ experience working directly for and liaising with private industry partners. David has lived overseas in Europe and Asia in total over five years, speaks several languages, is attuned to cultural sensitivities, and is thus proficient in collaborating cross-culturally.

Research Focus

  • Numerical weather prediction
  • Calibrated tornado forecast guidance
  • Objective classification of CAM forecast storm mode
  • Wildfire mitigation planning tool development

CIWRO Research Themes

  • Mesoscale and Stormscale Modeling R&D
  • Forecast Applications Improvements R&D
Publications
  • Jahn, D. E., W. A. Gallus,  P. Nguyen, Q. Yun, K. Cetin, E. Byon, L. Manuel, Y. Zhou, E. Jahani, 2019.   Projecting the most likely annual urban heat extremes in the central United States.  Atmosphere, 10(12), 727; doi:10.3390/atmos10120727.
  • Jahn, D. E., W. A. Gallus, 2018:  Impacts of modifications to a local planetary boundary-layer scheme on forecasts of the Great Plains low-level jet environment.  Weather and Forecasting, 33, 1109-1120.
  • Jahn, D. E., E. S. Takle, W. A. Gallus, 2017:  Improving wind-ramp forecasts in the stable boundary layer.   Boundary-Layer Meteorology, 163, 423-446.  DOI 10.1007/s10546-017-0237-2.
  • Jahn, D. E., E. S. Takle, W. A. Gallus, 2017:  Wind-ramp-forecast sensitivity to boundary-layer scheme closure parameters.  Boundary-Layer Meteorology. 164, 475-490.  DOI 10.1007/s10546-017-0250-5
  • Figuerao-Acevedo, A., M. S. Czahor, D. E. Jahn, 2015.  Comparison of technological, economic, public policy, and environmental factors of HVDC and HVAC interregional transmission.  AIMS Energy, 3, 144-161.
Conference presentations
  • Jahn, D.E., B. T. Smith, I. L. Jirak, C. Karstens, E. D. Loken, B. T. Gallo, and T. A. Supinie, 2023:   Formulation and Evaluation of a Calibrated Tornado Forecast Guidance Ensemble. Proc.,  28th Conf.  Numerical Weather Prediction.  Poster.
  • Jahn, D.E., E.D. Loken, B.T. Gallo, C.D. Karstens, and B. Hempel, 2022: Analysis of Subjective and Objective Evaluations of Calibrated Tornado Guidance in the Hazardous Weather Testbed. Proc., 30th Conf. Severe Local Storms, Santa Fe, NM, P47. 
  • Jahn, D.E., I.L. Jirak, A. Wade, and J. Milne, 2022: Storm Mode and Tornado Potential Determination Using Statistical Moments of Updraft Helicity Distribution. Proc., 31st Conf. Weather Analysis and Forecasting/27th Conf. Numerical Weather Prediction (virtual), 460. 
  • McCloskey*, S., E. Loken, C. Karstens, B. Smith, and D. Jahn, 2022: Examining When and How Random Forests Add Value to Next-day Storm Prediction Center Hail Forecasts. 31st Conference on Weather Analysis and Forecasting (WAF)/27th Conference on Numerical Weather Prediction (NWP), Amer. Meteor. Soc., Online, J8.3, https://ams.confex.com/ams/102ANNUAL/meetingapp.cgi/Paper/397442.
  • Jahn, D.E., B.T. Gallo, C. Broyles, B.T. Smith, I.L. Jirak, and J. Milne, 2020: Refining CAM-Based Tornado Probability Forecasts Using Storm-Inflow and Storm-Attribute Information. Proc., 26th Conf. Numerical Weather Prediction, Boston, MA, 2A4. 
  • Jahani, E., S. Vanage, K. Cetin, D. Jahn, W. Gallus, 2020.  Uncertainties of building energy model predictions due to spatial temperature variations.   American Society of Heating, Refrigerating and Air-Conditioning Engineers Conf.  [ refereed ].
  • Jahn, D. E., B. T. Gallo, C. Broyles, B. T. Smith, I. L. Jirak, and J. M. Milne, 2020.  Refining CAM-based tornado probability forecasts using storm-inflow and storm-attribute Information.   26th Conf. on Num. Wea. Pred., 13-17 Jan., Amer. Meteor. Soc., Boston.
  • Jahani, E., S. Vanage, D. E. Jahn, K. Cetin, W. Gallus, 2019:  City-scale energy modeling to assess impacts of extreme heat on electricity consumption and production using WRF-UCM modeling with bias correction.  Canadian Society for Civil Engineering Annual Conf., 12-15 June, Montreal, Quebec, Canada. [refereed]
  • Jahn, D. E., W. A. Gallus, Y. Zhou, K. Cetin, E. Jahani, 2018:  High-resolution WRF forecast of mid-century urban heat-extreme events.  25th Conf. on Num. Wea. Pred.  4-8 June, Amer. Meteor. Soc., Denver.
  • Jahn, D. E., W. A. Gallus, 2017:  Sensitivity of nocturnal boundary-layer forecasts and associated LLJ to PBL schemes for PECAN cases.  24th Conf. on Num. Wea. Pred. 23-27 Jan., Amer. Meteor. Soc., Seattle.
  • Jahn, D. E., 2016.  Improvement of numerical wind forecasts at wind turbine height for wind ramp events within the stable boundary layer.  Wind Energy Research Workshop.  Lowell, MA, March.
  • Jahn, D. E., E. S. Takle, W. A. Gallus, 2016:  Improving numerical wind forecasts of wind ramps at 100m height in the stable boundary layer.  7th Conf. on Weather, Climate, Water and the New Energy Economy.  10-14 Jan., Amer. Meteor. Soc., New Orleans.
  • Jahn, D. E., W. A. Gallus, E. S. Takle, 2014:  Evaluation of the MYNN PBL scheme closure constants for low-level jet events in a stable boundary layer.  On-line.  21st Symposium on Boundary Layers and Turbulence, 9-13 June, Amer. Meteor. Soc., Leeds, UK.
  • Wang, D., K.K. Droegemeier, D. Jahn, K.-M. Xu, M. Xue, and J. Zhang, 2001: NIDS-based intermittent diabatic assimilation and application to storm-scale numerical weather prediction. Preprints, 14th Conf. on Num. Wea. Pred., 30 July - 2 August, Amer. Meteor. Soc., Fort Lauderdale, Florida, J125-J128.
  • Carpenter, R.L. Jr., K.K. Droegemeier, G.M. Bassett, S.S. Weygandt, D.E. Jahn, S. Stevenson, W. Qualley, and R. Strasser, 1999: Storm-scale numerical weather prediction for commercial and military aviation, Part 1: Results from operational tests in 1998. Preprints, 8th Conf. on Aviation, Range, and Aerospace Meteorology, 10-15 January, Amer. Meteor. Soc., Dallas, TX, 209-211.
  • Carpenter, R.L, Jr., K. K. Droegemeier, G. M. Bassett, K. Brewster, D. E. Jahn, J. Levit, M. Xue, W. L. Qualley, and R. Strasser, 1998: Storm-Scale NWP for commercial aviation:  Results from real-time operational tests in 1996-1997. Preprints, 12th Conf. on Num. Wea. Pred., 11-18 Jan., Amer. Meteor. Soc., Phoenix, AZ, 213-216.
  • Droegemeier, K.K. and D.E. Jahn, 1997: CAPS operational tests: Current results and future plans. Preprints, 2nd Korea-US Joint Workshop on Storm- and Meso-Scale Weather Analysis and Prediction, 7-10 October, Seoul, Korea, 1-6. Sponsored by the Korean Science and Eng. Found., the Nat. Science Found., the Center for Analysis and Prediction of Storms, the Korean Meteor. Admin., and the Korean Meteor. Society.
  • Jahn, D. and K.K. Droegemeier, 1996: Simulation of convective storms in environments with independently varying bulk Richardson number shear and storm-relative environmental helicity. Preprints, 18th Conf. on Severe Local Storms, 15-20 Jan., Amer. Meteor. Soc., San Francisco, CA, 230-234.
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