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| Format: | Artículo científico |
| Language: | en |
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Instituto Politécnico Nacional
2017
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| Online Access: | https://www.redalyc.org/articulo.oa?id=61550392004 |
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Table of Contents:
- Planet Boundary Layer Parameterization in Weather Research and Forecasting (WRFv3.5): Assessment of Performance in High Spatial Resolution Simulations in Complex Topography of Mexico Sergio Natan González-Rocha Fredy Juárez-Pérez Armando Aguilar-Meléndez Alfredo Cristóbal Salas Celia Calderón-Ramón Jesús E. Escalante-Martínez José M. Baldasano Recio Computación WRFv3 WRFv3 WRFv3 complex topography complex topography This paper present s 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 d ifferent 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, t he 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 exec ution time and to show changes in speedup and efficiency . Mare Nostrum III supercomputer was used for the computation al processing in the cluster . The computational performance indicators were execution time, speedup and efficiency. The sensitivity analysi s was performed using the mean bias (MB) and root mean square error (RMSE) from variables obtained by WRFv3.5 such as temperature, wind - speed, 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 c onsider the lack of data in METAR stations in Mexico. 2017 artículo científico 1405-5546 https://www.redalyc.org/articulo.oa?id=61550392004 en http://www.redalyc.org/revista.oa?id=615 Computación y Sistemas application/pdf Instituto Politécnico Nacional Computación y Sistemas (México) Num.1 Vol.21