2020Frontiers in Earth ScienceOpen access

WRF High Resolution Dynamical Downscaling of Precipitation for the Central Andes of Chile and Argentina

Vanúcia Schumacher, Alfonso Fernández, Flávio Justino, Alcimoni Nelci Comin

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Abstract

This study evaluates the capabilities of the Weather Research and Forecasting (WRF) model to reproduce the variability of precipitation over Central Andes of Chile and Argentina, a region characterized by complex topography. The simulation corresponds to a dynamical downscaling of ERA-Interim, in the period 1996–2015, performed with two nested grids, at 9 and 3 km horizontal resolution. Precipitation data from 62 rain gauges from Chile and Argentina were used to evaluate the performance of WRF simulations carried out at the annual and warm-cold season analysis. The results of this study indicate that WRF at 9 km and 3 km is able to reproduce the main characteristics of precipitation, seasonal and interannual variability along the study area. However, WRF at 9 km presents a wet bias in relation to observation and WRF at 3 km along the windward slopes of the Andes. Additionally, WRF at 3 km achieves better performance of precipitation as elevation increases, most likely due to the better-resolved orography.

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This study evaluates the capabilities of the Weather Research and Forecasting (WRF) model to reproduce the variability of precipitation over Central Andes of Chile and Argentina, a region characterized by complex topography. The simulation corresponds to a dynamical downscaling of ERA-Interim, in the period 1996–2015, performed with two nested grids, at 9 and 3 km horizontal resolution. Precipitation data from 62 rain gauges from Chile and Argentina were used to evaluate the performance of WRF simulations carried out at the annual and warm-cold season analysis. The results of this study indicate that WRF at 9 km and 3 km is able to reproduce the main characteristics of precipitation, seasonal and interannual variability along the study area. However, WRF at 9 km presents a wet bias in relation to observation and WRF at 3 km along the windward slopes of the Andes. Additionally, WRF at 3 km achieves better performance of precipitation as elevation increases, most likely due to the better-resolved orography.

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Available abstract

This study evaluates the capabilities of the Weather Research and Forecasting (WRF) model to reproduce the variability of precipitation over Central Andes of Chile and Argentina, a region characterized by complex topography. The simulation corresponds to a dynamical downscaling of ERA-Interim, in the period 1996–2015, performed with two nested grids, at 9 and 3 km horizontal resolution. Precipitation data from 62 rain gauges from Chile and Argentina were used to evaluate the performance of WRF simulations carried out at the annual and warm-cold season analysis. The results of this study indicate that WRF at 9 km and 3 km is able to reproduce the main characteristics of precipitation, seasonal and interannual variability along the study area. However, WRF at 9 km presents a wet bias in relation to observation and WRF at 3 km along the windward slopes of the Andes. Additionally, WRF at 3 km achieves better performance of precipitation as elevation increases, most likely due to the better-resolved orography.

Key concepts: Weather Research and Forecasting Model, Orography, Downscaling, Precipitation, Climatology, Environmental science, Meteorology, Atmospheric sciences

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