4.4 WRF-LES
in 250+ real sites: Learnings and Challenges
Montornès, Alex, Pau Casso, Gil Lizcano,
Vortex, Spain, and Branko Kosovic, National Center for Atmospheric Research
We are entering a new era in atmospheric modeling.
Increased computational resources now allow global models to reach resolution
previously achievable only by limited area, mesoscale models. Horizontal grid
cell size of global operational forecast models is now on the order of 10 km
(approximately 9 km for ECMWF and 13 km for GFS) while global reanalysis data
sets have resolution of few tens of kilometers (e.g. ERA-5). The value of
limited area models, such as the Weather Research and Forecasting (WRF) model
is therefore diminished. Does this mean the end of the mesocale
models for operational forecasting and applications like wind resource
assessment? Of course not. As global models reach mesoscales,
limited area models will have to take advantage of available computational
resources and explore new horizons, the microscale.
A number for applications including wind energy, pollutant dispersion wildland fire spread prediction, etc. could benefit from
turbulence resolving simulations. In recent years advances have been made in
coupling mesoscale and microscale simulations. WRF
model and algorithms implemented in it represent one of the platforms that
enable nearly seamless coupling between mesoscale and microscale
simulations. |