Cooperative Institute for Research in Environmental Sciences

Stanley G. Benjamin

Stanley G. Benjamin

Research Interests

I am a senior scientist for advanced modeling systems at NOAA’s Earth System Research Laboratory (Global Systems Division) in Boulder, Colorado. My interests lie in data assimilation, including for clouds, radar and boundary layer, and global subseasonal coupled (atmospheric-ocean-aerosol) modeling and forecasting. Our group in GSD works closely with the National Weather Service on improving NOAA’s operational models. We focus on improved frequently updated convection-allowing modeling for severe weather, aviation/transportation, hydrology, and energy applications. We also work on improving model representations of the boundary layer, land surface, and stable and convective clouds including aerosol interaction.

Current Research

Some of my branch’s current projects include:

  • Development of Rapid Refresh (RAP) and High-Resolution Rapid Refresh (HRRR), two experimental models developed in the Global Systems Division which are now operational, helping weather forecasters around the country predict rapidly changing weather conditions including tornadoes, flash flooding and severe snowstorms.
  • Development of the Flow-following finite-volume Icosahedral Model (FIM). This still-experimental global model uses an icosahedral grid, one composed of evenly sized pentagons and hexagons rather than a more conventional grid based on latitude and longitude. FIM’s other features—an adaptive vertical coordinate system that concentrates around frontal zones and the tropopause) and finite-volume horizontal transport— improve global forecast skill.
  • Work with several models to improve hurricane forecast guidance. For example, we provided experimental forecast guidance to the NOAA National Hurricane Center during the 2014 season, through the NOAA Hurricane Improvement Project.
  • Directing application of HRRR and RAP for the aviation/transportation community and for renewable energy, including ongoing wind and solar energy projects for the Department of Energy and NOAA, to improve energy management toward more efficient use of renewable energy.
Weather model shows ground temperature

This image, made with HRRR, NOAA’s newest weather model, shows ground temperature readings at 2-mile resolution. Each pixel is shaded by temperature from yellow (113 degrees Fahrenheit) to white (32°F)

View Publications

  • Jankov, I, J Berner, J Beck, HL Jiang, JB Olson, G Grell, TG Smirnova, SG Benjamin and JM Brown (2017), A Performance Comparison between Multiphysics and Stochastic Approaches within a North American RAP Ensemble. Mon. Weather Rev. Version: 1 145 (4) 1161-1179, issn: 0027-0644, ids: ES2AY, doi: 10.1175/MWR-D-16-0160.1
  • James, EP, SG Benjamin and M Marquis (2017), A unified high-resolution wind and solar dataset from a rapidly updating numerical weather prediction model. Renew. Energy Version: 1 102 (B) 390-405, issn: 0960-1481, ids: EF9CM, doi: 10.1016/j.renene.2016.10.059
  • Katona, B, P Markowski, C Alexander and S Benjamin (2016), The Influence of Topography on Convective Storm Environments in the Eastern United States as Deduced from the HRRR. Weather and Forecasting Version: 1 31 (5) 1481-1490, issn: 0882-8156, ids: EP5EF, doi: 10.1175/WAF-D-16-0038.1
  • Smirnova, TG, JM Brown, SG Benjamin and JS Kenyon (2016), Modifications to the Rapid Update Cycle Land Surface Model (RUC LSM) Available in the Weather Research and Forecasting (WRF) Model. Mon. Weather Rev. Version: 1 144 (5) 1851-1865, issn: 0027-0644, ids: DM1SX, doi: 10.1175/MWR-D-15-0198.1
  • Benjamin, SG, SS Weygandt, JM Brown, M Hu, CR Alexander, TG Smirnova, JB Olson, EP James, DC Dowell, GA Grell, HD Lin, SE Peckham, TL Smith, WR Moninger, JS Kenyon and GS Manikin (2016), A North American Hourly Assimilation and Model Forecast Cycle: The Rapid Refresh. Mon. Weather Rev. Version: 1 144 (4) 1669-1694, issn: 0027-0644, ids: DM1RY, doi: 10.1175/MWR-D-15-0242.1
  • Peckham, SE, TG Smirnova, SG Benjamin, JM Brown and JS Kenyon (2016), Implementation of a Digital Filter Initialization in the WRF Model and Its Application in the Rapid Refresh. Mon. Weather Rev. Version: 1 144 (1) 99-106, issn: 0027-0644, ids: DB6MT, doi: 10.1175/MWR-D-15-0219.1
  • Benjamin, SG, JM Brown and TG Smirnova (2016), Explicit Precipitation-Type Diagnosis from a Model Using a Mixed-Phase Bulk Cloud-Precipitation Microphysics Parameterization. Weather and Forecasting Version: 1 31 (2) 609-619, issn: 0882-8156, ids: DM2ZJ, doi: 10.1175/WAF-D-15-0136.1
  • Stanley G. Benjamin, Stephen S. Weygandt, Ming Hu, Curtis Alexander, Tatiana G. Smirnova, Joseph B. Olson, John M. Brown, Eric James, David C. Dowell, Georg A. Grell, Haidao Lin, Steven E. Peckham, William R. Moninger, Geoffrey S. Manikin (2016), A North American Hourly Assimilation/Model Forecast Cycle The Rapid Refresh. Mon. Weather Rev. Version: 1, doi: http//
  • Bleck, R, JW Bao, SG Benjamin, JM Brown, M Fiorino, TB Henderson, JL Lee, AE MacDonald, P Madden, J Middlecoff, J Rosinski, TG Smirnova, S Sun and N Wang (2015), A Vertically Flow-Following Icosahedral Grid Model for Medium-Range and Seasonal Prediction. Part I: Model Description. Mon. Weather Rev. Version: 1 143 (6) 2386-2403, issn: 0027-0644, ids: CJ0TL, doi: 10.1175/MWR-D-14-00300.1
  • Wilczak, J, C Finley, J Freedman, J Cline, L Bianco, J Olson, I Djalalova, L Sheridan, M Ahlstrom, J Manobianco, J Zack, JR Carley, S Benjamin, R Coulter, LK Berg, J Mirocha, K Clawson, E Natenberg and M Marquis (2015), THE WIND FORECAST IMPROVEMENT PROJECT (WFIP) A Public-Private Partnership Addressing Wind Energy Forecast Needs. Bull. Amer. Meteorol. Soc. Version: 1 96 (10) 1699-1718, issn: 0003-0007, ids: CU8AW, doi: 10.1175/BAMS-D-14-00107.1
  • Pan, YJ, KF Zhu, M Xue, XG Wang, M Hu, SG Benjamin, SS Weygandt and JS Whitaker (2014), A GSI-Based Coupled EnSRF-En3DVar Hybrid Data Assimilation System for the Operational Rapid Refresh Model: Tests at a Reduced Resolution. Mon. Weather Rev. Version: 1 142 (10) 3756-3780, issn: 0027-0644, ids: AQ0OK, doi: 10.1175/MWR-D-13-00242.1
  • Zhu, KF, YJ Pan, M Xue, XG Wang, JS Whitaker, SG Benjamin, SS Weygandt and M Hu (2013), A Regional GSI-Based Ensemble Kalman Filter Data Assimilation System for the Rapid Refresh Configuration: Testing at Reduced Resolution. Mon. Weather Rev. Version: 1 141 (11) 4118-4139, issn: 0027-0644, ids: 240AB, doi: 10.1175/MWR-D-13-00039.1
  • Hamill, TM, JS Whitaker, M Fiorino and SG Benjamin (2011), Global Ensemble Predictions of 2009's Tropical Cyclones Initialized with an Ensemble Kalman Filter. Mon. Weather Rev. Version: 1 139 (2) 668-688, issn: 0027-0644, ids: 739PE, doi: 10.1175/2010MWR3456.1
  • Hamill, TM, JS Whitaker, DT Kleist, M Fiorino and SG Benjamin (2011), Predictions of 2010's Tropical Cyclones Using the GFS and Ensemble-Based Data Assimilation Methods. Mon. Weather Rev. Version: 1 139 (10) 3243-3247, issn: 0027-0644, ids: 833AP, doi: 10.1175/MWR-D-11-00079.1
  • De Pondeca, MSFV, GS Manikin, G DiMego, SG Benjamin, DF Parrish, RJ Purser, WS Wu, JD Horel, DT Myrick, Y Lin, RM Aune, D Keyser, B Colman, G Mann and J Vavra (2011), The Real-Time Mesoscale Analysis at NOAA's National Centers for Environmental Prediction: Current Status and Development. Weather and Forecasting Version: 1 26 (5) 593-612, issn: 0882-8156, ids: 834FI, doi: 10.1175/WAF-D-10-05037.1
  • Bleck, R, S Benjamin, J Lee and AE MacDonald (2010), On the Use of an Adaptive, Hybrid-Isentropic Vertical Coordinate in Global Atmospheric Modeling. Mon. Weather Rev. Version: 1 138 (6) 2188-2210, issn: 0027-0644, ids: 622QE, doi: 10.1175/2009MWR3103.1
  • Moninger, WR, SG Benjamin, BA Jamison, TW Schlatter, TL Smith and EJ Szoke (2010), Evaluation of Regional Aircraft Observations Using TAMDAR. Weather and Forecasting Version: 1 25 (2) 627-645, issn: 0882-8156, ids: 610AQ, doi: 10.1175/2009WAF2222321.1
  • Benjamin, SG, BD Jamison, WR Moninger, SR Sahm, BE Schwartz and TW Schlatter (2010), Relative Short-Range Forecast Impact from Aircraft, Profiler, Radiosonde, VAD, GPS-PW, METAR, and Mesonet Observations via the RUC Hourly Assimilation Cycle. Mon. Weather Rev. Version: 1 138 (4) 1319-1343, issn: 0027-0644, ids: 602CP, doi: 10.1175/2009MWR3097.1