Planet Boundary Layer Parameterization in Weather Research and Forecasting (WRFv3.5): Assessment of Performance in High Spatial Resolution Simulations in Complex Topography of Mexico

Abstract

This paper presents the application of the Weather Research and Forecasting (WRF version 3.5) with high spatial resolution (3 and 1 km) testing four Planet Boundary Layer (PBL) schemes to the complex topography of Mexico in different numerical experiments that have tried to find the best configuration. The WRF is a Numerical Weather Prediction (NWP) model giving support for weather forecasting and modeling in Chemical Transport (CTM) or Air Quality Models as CMAQ or CHIMERE. For the above, the objectives in this work were assess the performance, the best grid parameterization, meteorological initial conditions, temporal resolution, time step and PBL schemes used in order to minimize the execution time and to show changes in speedup and efficiency. Mare Nostrum III supercomputer was used for the computational processing in the cluster. The computational performance indicators were execution time, speedup and efficiency. The sensitivity analysis was performed using the mean bias (MB) and root mean square error (RMSE) from variables obtained by WRFv3.5 such as temperature, windspeed, sea level pressure and the METAR Veracruz airport station observations. The results show that Mellor-Yamada-Janjic (MYJ) scheme was better in computational parallel execution with at least 8 processors and a time step of 18 seconds. The sensitivity analyses show that time step is not a key in the accuracy of the meteorological values obtained. It is necessary consider the lack of data in METAR stations in Mexico.

Sensitivity analysis of the WRF model: Assessment of performance in high resolution simulations in complex terrain in the Canary Islands

“…The WRF model offers several options to configure physics schemes, enabling optimization of the model for specific weather phenomenon and study area. The parameterization schemes were selected based upon previous works with similar conditions of complex terrains (Moya- Alvarez et al, 2018;González Rocha et al, 2017;Evans et al, 2012).…”

Heavy Rainfall Events in Selected Geographic Regions of Mexico, Associated with Hail Cannons

“…It is designed to represent the processes occurring in the planetary boundary layer, which is the lowest part of the atmosphere influenced by the earth's surface. The MYJ scheme was selected because of its computational performance and its ability to perform well in complex terrain conditions such as Mexico [34]. The Noah Land Surface Model (LSM) is a widely used component in atmospheric models, and it plays a crucial role in representing interactions between the land surface and the atmosphere.…”