Weather status estimation using numerical WRF and GFS models for an early warning system before extreme climate events
PDF (Español (España))
PDF Zenodo (Español (España))

Keywords

Pronóstico
SATC
Modelos numéricos
Monitoreo
Imágenes satelitales
Eventos climatológicos extremos

How to Cite

Ramón Valencia , J., & Palacios González , J. (2016). Weather status estimation using numerical WRF and GFS models for an early warning system before extreme climate events. Ciencia E Ingeniería, 3(2), e044. Retrieved from http://revistas.uniguajira.edu.co/rev/index.php/cei/article/view/e044

Abstract

The meteorological forecast estimates the behavior of atmospheric conditions in the event of extreme weather events such as floods, droughts and forest fires. A forecast provides information to actively plan and prepare for weather events. These events impact the activities carried out by the general public and also by the different socio-economic sectors. For the estimation of the weather, the data provided by the SATC (Early Warning System for extreme weather events) are taken to which a proper treatment is done, mixing it with satellite images and numerical models WRF and GFS for later analysis corresponding to each meteorological variable, Providing the daily meteorological bulletin which is composed by the weather forecast for the upper, middle and lower part of the Norte de Santander department and the daily monitoring of flows and heights of the rivers Laplata, Cucutilla, Pamplonita, Peralonso. The main objective is to analyze and generate valid information daily for people living in Norte de Santander, companies, researchers, the agricultural sector and people responsible for acting, mitigating, preventing and attending extreme weather events, because with this information they can take decisions in each of its areas.

PDF (Español (España))
PDF Zenodo (Español (España))

References

DONE, James. DAVIS A, Christopher y WEISMAN, Morrison. The next generation of NWP: explicit forecasts of convection using the weather research and forecasting (WRF) model, Atmospheric Science Letters, EEUU,2004.

SAULO, Celeste. CARDAZZO, Soledad. Juan, Ruiz. CAMPETELLA, Claudia y Rolla, Alfredo. El Sistema De Pronóstico Experimental Del Centro De Investigaciones Del Mar Y La Atmósfera, Argentina, 2009.

INSTITUTO DE HIDROLOGÍA, METEOROLOGÍA Y ESTUDIOS AMBIENTALES (IDEAM). Validación De Los Pronosticos De Precipitación Con Los Modelos Gfs, Mm5, Wrf, Cmm5 Y Cwrf Sobre El Territorio Colombiano. Bogotá D.C: Colombia, 2012

PABON,J.Daniel. El cambio climático global y su manifestación en Colombia. Universidad nacional. Bogotá D.C: Colombia, 2003.

ARANGO, C. Y RUIZ, J.F. Implemetacion del modelo wrf para la sabana de Bogotá. IDEAM, Bogotá D.C: Colombia, 2012.

RUIZ, J. F. Implementación del Modelo WRF en el IDEAM. Nota Técnica IDEAM – METEO/003-2008. Instituto de Hidrología, Meteorología y Estudios Ambientales (IDEAM), Bogotá. D.C., Colombia.2008.

DILON,M.Eugenia. SKABAR,G.Yanina y Nicolini.M . Desempeño del pronóstico de modelos de alta resolución, en un área limitada: análisis de la estación de verano 2010-2011, Argentina, 2013.

RUIZ,M.Jose. Como Interpretar Los Modelos De Pronósticos Del Estado Del Tiempo. IDEAM, Bogotá. D.C., Colombia. 2012

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Copyright (c) 2016 Jacitp Ramón Valencia , Jordi Palacios González

Downloads

Download data is not yet available.