P34     The MYNN Turbulence Parameterization:  Recent Development and Current Capabilities

 

Kenyon, Jaymes, Joe Olson, Cooperative Institute for Research in Environmental Sciences (CIRES) and National Oceanic and Atmospheric Administration (NOAA)/Earth System Research Laboratory (ESRL), John Brown, NOAA/ESRL, Wayne Angevine, CIRES and NOAA/ESRL, Dave Turner, Jian-Wen Bao, NOAA/ESRL, Branko Kosivic, and Pedro Jimenez, National Center for Atmospheric Research

 

The Mellor–Yamada–Nakanishi–Niino (MYNN) turbulence parameterization in WRF–ARW has been under intensive development since 2014, driven by imperatives to advance forecast quality in NOAA's operational RAP and HRRR models, and by the objectives of the second Wind Forecast Improvement Project (WFIP2).  From this development effort, the MYNN scheme has emerged with an array of new capabilities and features, all of which incorporate so-called "scale-aware" considerations, allowing the scheme to self-adapt according to the horizontal grid spacing.  Among these new capabilities, the MYNN can now operate as an eddy-diffusivity/mass-flux (EDMF) scheme, providing a better representation of the convective boundary layer.  Additionally, a reformulated mixing-length calculation is offered, intended to improve the representation of both PBL and free-atmosphere turbulence, especially in stably stratified conditions.  Subgrid-scale cloud representation has also been improved in the MYNN, affording better forecasts of solar irradiance at the surface.  These features are available to the WRF–ARW community as of the version 3.9 release.

This presentation will summarize MYNN development efforts and provide "best practices" guidance for MYNN users in the broader community.  Drawing from test cases and retrospective simulations, we demonstrate the impact of this MYNN development in the context of RAP and HRRR forecast skill.  Finally, we will outline future directions for MYNN development as part of the RAP/HRRR physics suite.