double dynamical downscaling with wrf for th e western us
DESCRIPTION
Double Dynamical Downscaling with WRF for th e Western US. Melissa Bukovsky and Changhai Liu NCAR/ IMAGe , NCAR/RAL June 28, 2012. North American Regional Climate Change Assessment Program 6 RCMs downscaling 4 AOGCMs (with 12 combinations planned) Current: 1971-2000 (1999) - PowerPoint PPT PresentationTRANSCRIPT
Double Dynamical Downscaling with WRF for the Western US
Melissa Bukovsky and Changhai LiuNCAR/IMAGe, NCAR/RAL
June 28, 2012
North American Regional Climate Change Assessment Program
• 6 RCMs downscaling 4 AOGCMs (with 12 combinations planned)– Current: 1971-2000 (1999)– Future: 2041-2070 (2069)
• RCMs are also being used to dynamically downscale the NCEP/DOE Reanalysis 2– 1980-2004
• 50-km horizontal resolution over most of North America
• Plus, 2 global 50-km timeslices (GFDL and CAM).
www.narccap.ucar.edu
Doubling Down• Further downscaling of 3 NARCCAP 50-km simulations to 10km
over the West for 10 year periods (+1 year of model spin-up).– 1982-1991– 2046-2055
• Why? To find out if higher-resolution climate information makes a difference in the decision-making of stakeholders.
Naming convention = RCM+driver
• Downscaled WRFG-ncep = WRFH-wncep• Downscaled WRFG-ccsm = WRFH-wccsm
Status• WRFH-wncep = complete• WRFH-wccsm current: just finished• WRFH-wccsm future: 4 years left
Verification Datasets
• UDEL: ½ degree lat/lon resolution (~50 km), monthly average precipitation and temperature
• PRISM: 4 km resolution (regridded to 10 km), monthly average precipitation and temperature
10-km WRF Configuration
• Timestep = 24 - 36s• Radiation = CAM• PBL = YSU• Microphysics = Thompson• Convection = GD• Surface = Noah• + parameter tuning
– LVCOEF = 1– Albedo changes in VEGPARM.TBL– (Also, roughness length over snow modified in SNOWZ0 for
North American domain simulations.)
WRFH-wncep vs. WRFG-ncep
DJF 1982-1991
JJA 1982-1991
DJF 1982-1991
JJA 1982-1991
WRFH-wccsm vs. WRFG-ccsm
DJF 1982-1991
DJF 1982-1991
Discussion
• More analysis to come in the future.• As a modeling study: an interesting way to look
at the propagation of error/bias through different nested simulations.
• As a whole: a necessary step to see if higher-resolution simulations make a difference in impacts related decision making.