8.1 Recent Improvements to Ceiling and Visibility Forecasts in the RAP and HRRR Models

Wednesday, 25 January 2017: 10:30 AM
Conference Center: Skagit 2 (Washington State Convention Center )
Jaymes Kenyon, NOAA/ESRL and CIRES, University of Colorado, Boulder, CO; and T. T. Ladwig, J. B. Olson, J. M. Brown, S. G. Benjamin, C. Alexander, and S. S. Weygandt

The 13-km Rapid Refresh (RAP) and 3-km convection-allowing High-Resolution Rapid Refresh (HRRR) are hourly-updating forecast models that support operational aviation weather forecasting and other short-range forecasting interests within the contiguous United States.  Since 2010, the forecast accuracy of operationally restrictive ceilings and visibilities (hereafter C/V) has steadily improved in the RAP and HRRR, and is largely attributable to better representation of grid-scale cloud cover through the microphysics parameterization, and to improvements in model analysis fields via hybrid ensemble–variational assimilation of temperature and water-vapor observations.

This presentation will discuss ongoing work to sustain continued C/V improvements in future versions of the RAP and HRRR.  An "end-to-end" array of experimental model-system developments, encompassing new data-assimilation, model physics, and model postprocessing innovations, will be presented.  These developments include: (1)  the transition of the RAP/HRRR hydrometeor analysis from a non-variational to a hybrid ensemble–variational system, (2) application of a subgrid-scale cloud parameterization in RAP/HRRR, and (3) use of a simplified, cloud-fraction-based ceiling diagnostic during model postprocessing.  Drawing from both real-time and retrospective forecasts results, the merits of these model-system developments will be evaluated, and their pathway to eventual operational implementation will be discussed.

- Indicates paper has been withdrawn from meeting
- Indicates an Award Winner