TY - GEN
T1 - 'Application of the Weather Research and Forecasting atmospheric model for precipitation in Cuzco'
AU - Enrique Bazan Maguina, Jorge
AU - Cedron Portocarrero, Israel
AU - Mogrovejo Gutierrez, Ruben
AU - Liz Arancibia Samaniego, Ada
N1 - Publisher Copyright:
© 2022 IEEE.
PY - 2022
Y1 - 2022
N2 - The important thing is to study the behavior of these precipitations. Countries like Peru lack pluviometric and/or pluviographic facilities; limiting the use of models to forecast rainfall using Intensity-Duration-Frequency (IDF) curves. This is how the WRF model is an alternative to cover this deficiency. The WRF is positioned worldwide as the most used model in short and long term forecasts. The research evaluated the application of the WRF model in the Andes of Cusco; on the sub-basin of the Aobamba river where the maximum altitude exceeds 6000 meters above sea level. The simulation covers the months of October 2016 to April 2017 with results that represent values of daily rainfall and monthly maximum in 24 hours. The results were evaluated in two ways, the first, punctually verifies the daily rainfall records in 24 hours of the Machu Picchu pluviometric station and; the second compares the maximum monthly value of precipitation in 24 hours of the Pisco spatial distribution in three simulation zones. Both evaluations indicate that the model overestimates the results. This is due, among other factors, to the low density of pluviometric stations in the area and the short simulation period used of only four months. Although the values were acceptable for the modeling conditions, it is suggested to continue the investigation by increasing the simulation period by more than 5 years of records, the number of pluviometric control stations and the parameterization schemes used.
AB - The important thing is to study the behavior of these precipitations. Countries like Peru lack pluviometric and/or pluviographic facilities; limiting the use of models to forecast rainfall using Intensity-Duration-Frequency (IDF) curves. This is how the WRF model is an alternative to cover this deficiency. The WRF is positioned worldwide as the most used model in short and long term forecasts. The research evaluated the application of the WRF model in the Andes of Cusco; on the sub-basin of the Aobamba river where the maximum altitude exceeds 6000 meters above sea level. The simulation covers the months of October 2016 to April 2017 with results that represent values of daily rainfall and monthly maximum in 24 hours. The results were evaluated in two ways, the first, punctually verifies the daily rainfall records in 24 hours of the Machu Picchu pluviometric station and; the second compares the maximum monthly value of precipitation in 24 hours of the Pisco spatial distribution in three simulation zones. Both evaluations indicate that the model overestimates the results. This is due, among other factors, to the low density of pluviometric stations in the area and the short simulation period used of only four months. Although the values were acceptable for the modeling conditions, it is suggested to continue the investigation by increasing the simulation period by more than 5 years of records, the number of pluviometric control stations and the parameterization schemes used.
KW - atmospheric simulation
KW - intensity
KW - modeling
KW - Pisco data
KW - pluviometric stations
KW - Precipitation
UR - https://www.scopus.com/pages/publications/85143664780
U2 - 10.1109/CONIITI57704.2022.9953712
DO - 10.1109/CONIITI57704.2022.9953712
M3 - Contribución a la conferencia
AN - SCOPUS:85143664780
T3 - 2022 Congreso Internacional de Innovacion y Tendencias en Ingenieria, CONIITI 2022 - Conference Proceedings
BT - 2022 Congreso Internacional de Innovacion y Tendencias en Ingenieria, CONIITI 2022 - Conference Proceedings
A2 - Morales, Victor Manuel Fontalvo
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2022 Congreso Internacional de Innovacion y Tendencias en Ingenieria, CONIITI 2022
Y2 - 5 October 2022 through 7 October 2022
ER -