Thesis ACOPLAMIENTO MODELO METEOROLÓGICO CON MODELO DE CAMPOS DE VIENTOS 3D
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Date
2018-08
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Campus
Campus San Joaquín, Santiago
Abstract
En este trabajo se realizó la vinculación de un modelo pronóstico de mesoescala,WRF,con un modelo micro-escala de difusión vertical, High Definition Wind Field,HDWind®. La metodología utilizada para lograr el acoplamiento fue el análisis de ambosmodelos y del proceso para operar el modelo HDWind, planificación, y el desarrollo denuevas actividades para el proceso de obtención de campos de vientos locales 3D y distintasrutinas programadas en Python, en conjunto con las librerías NetCDF4 y wrf-python. Graciasa la vinculación, SINUMCC tiene la posibilidad de obtener campos de vientos 3D usandosu modelo HDWind, para situaciones pasadas (simulaciones) o futuras (pronóstico) paracualquier parte del mundo. Además, se presenta un downscaling dinámico para observar elcomportamiento del viento local resultante de HDWind a partir de datos geo-localizados develocidad y dirección del viento obtenidos de las ejecuciones del modelo WRF, se comparanlos resultados obtenidos con dos estaciones meteorológicas ubicadas en el dominio delmodelo ,ubicado en La Serena, Chile.
In this work, a meso-scale forecast model, WRF, was coupled to a micro-scalevertical diffusion model High Definition Wind Field, HDWind®. The methodology usedto achieve the coupling was the analysis of both models and the process to operate theHDWind model and ARW-WRF, planning, and the development of new activities for theprocess of obtaining local wind fields 3D and different routines programmed in Python, inconjunction with the libraries NetCDF4 and wrf-python. Thanks to the coupling, SINUMCChas the possibility of obtaining 3D wind fields using its HDWind model, for past situations(simulations) or future ones (forecast) for any part of the world. In addition, a dynamictextit downscaling is presented to observe the behavior of the local wind resulting fromHDWind from geo-localized data of wind speed and direction obtained from the executionsOf the WRF model, the results obtained are compared with two meteorological stationsLocated in the domain of the model, located in La Serena, Chile
In this work, a meso-scale forecast model, WRF, was coupled to a micro-scalevertical diffusion model High Definition Wind Field, HDWind®. The methodology usedto achieve the coupling was the analysis of both models and the process to operate theHDWind model and ARW-WRF, planning, and the development of new activities for theprocess of obtaining local wind fields 3D and different routines programmed in Python, inconjunction with the libraries NetCDF4 and wrf-python. Thanks to the coupling, SINUMCChas the possibility of obtaining 3D wind fields using its HDWind model, for past situations(simulations) or future ones (forecast) for any part of the world. In addition, a dynamictextit downscaling is presented to observe the behavior of the local wind resulting fromHDWind from geo-localized data of wind speed and direction obtained from the executionsOf the WRF model, the results obtained are compared with two meteorological stationsLocated in the domain of the model, located in La Serena, Chile
Description
Catalogado desde la version PDF de la tesis.
Keywords
DOWNSCALING, MODELO CAMPOS DE VIENTOS 3D, MODELO METEOROLOGICO