Bibliographic citations
Dioses, A., (2020). Modelamiento de las precipitaciones en la Cuenca del Río Cañete con el modelo Weather Research and Forecasting (WRF) [Universidad Nacional Agraria La Molina]. https://hdl.handle.net/20.500.12996/4489
Dioses, A., Modelamiento de las precipitaciones en la Cuenca del Río Cañete con el modelo Weather Research and Forecasting (WRF) []. PE: Universidad Nacional Agraria La Molina; 2020. https://hdl.handle.net/20.500.12996/4489
@misc{sunedu/3090652,
title = "Modelamiento de las precipitaciones en la Cuenca del Río Cañete con el modelo Weather Research and Forecasting (WRF)",
author = "Dioses Avellaneda, Alen Arturo",
publisher = "Universidad Nacional Agraria La Molina",
year = "2020"
}
This research focuses on studying the performance of the model Weather Research and Forecasting (WRF) to simulate the precipitation on the basin of Cañete. For this purpose three simulations were made where the only change was the microphysics parametrization. One simulation used Thompson scheme the other cases used Morrison and Lin (Purdue). Also a period between December to march was picked from the rainy seasons, the first above the normal (2010-2011), the second within the normal (2013-2014) and the last one below the normal (2015-2016). For initial and boundary conditions data from National Center for Environmental Prediction (NCEP) Final Analyses (FNL) were used, the model runs were configured with 3 nested domains (27, 9 y 3 km). In order to validate data from conventional stations of Servicio Nacional de Meteorologia e Hidrologia (SENAMHI) was used. The results showed that the Morrison scheme had the best performance simulating the precipitation along the basin. Likewise, all the scheme improve considerably in the domains of 9 km and 3 km, the simulations for the rainy season above the normal got the lowest results of the statistics analyzed in this research maybe due to the lack of pressure levels. In the analyses of the dynamics where the model simulates the precipitation, it was observed that when the model simulates rain the air flows from the forest region so this ingest wet air to the basin, mix ratio is more than 7g/kg in mid an high levels of the atmosphere, in midlevels convergation predominates and divergation in high levels. In the dry cases, mix rate is lower than the umbral mention above, air flows are from the Pacific Ocean which does not provide enough humidity for the generation of rainfall. Finally, the model represented well the dry periods and the delay of the rainy season.
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