Análisis de la eficacia de la herramienta de generación de archivos meteorológicos CCWorldWeatherGen

Autores/as

Palabras clave:

Building simulation, Climate change, Global warming, Meteorological data analysis, Resilient building design

Resumen

This paper aimed to analyze the effectiveness of the CCWorldWeatherGen tool, focusing on climate change in São Paulo, São Paulo State, Brazil. For this, dry-bulb temperature, relative humidity, global solar radiation, and wind speed data from the test reference year weather file (1954) and the CCWorldWeatherGen file for the 2020 period (representing the 2011–2040 period) were compared with observational data collected between 2011 and 2023 by the Meteorological Station of the Institute of Astronomy, Geophysics, and Atmospheric Sciences of the University of São Paulo. The accuracy of variables predicted using weather files was evaluated using five statistical measures of error. Annual relative root mean square error (RRMSE) values for dry-bulb temperature, relative humidity, global solar radiation, and wind speed in the morphed weather file were 17.04% (good), 17.95% (good), 31.57% (poor), and 224.44% (poor), respectively. It is concluded that CCWorldWeatherGen is suitable for generating future weather files with complete information, mainly for its practicality. However, this approach requires caution, as sequences depend on the consistency of the weather file used as a basis.

Descargas

Los datos de descargas todavía no están disponibles.

Biografía del autor/a

Gustavo Henrique Nunes, State University of Londrina, Brazil

Master's degree in Civil Engineering from the State University of Londrina. PhD student in Civil Engineering at the State University of Londrina (Londrina - PR, Brazil)

Rafaela Benan Zara, State University of Londrina, Brazil

Master's degree in Civil Engineering from the State University of Londrina. PhD student in Civil Engineering at the State University of Londrina (Londrina - PR, Brazil)

João Gabriel Ribeiro, University of Mato Grosso State, Brazil

PhD in Statistics and Agronomic Experimentation from the University of São Paulo. Professor at the State University of Mato Grosso (Sinop - MT, Brazil)

Thalita Gorban Ferreira Giglio, State University of Londrina, Brazil

PhD in Civil Engineering from the Federal University of Santa Catarina. Professor at the State University of Londrina (Londrina - PR, Brazil)

Descargas

Publicado

09.10.2024

Cómo citar

NUNES, G. H.; ZARA, R. B.; RIBEIRO, J. G.; GIGLIO, T. G. F. Análisis de la eficacia de la herramienta de generación de archivos meteorológicos CCWorldWeatherGen. Ambiente Construído, [S. l.], v. 24, 2024. Disponível em: https://seer.ufrgs.br/index.php/ambienteconstruido/article/view/138234. Acesso em: 25 jun. 2025.

Número

Vol. 24 (2024): Edições Especiais & Artigos

Sección

Edição especial: os melhores artigos do ENCAC 2023

Licencia

Derechos de autor 2023 Ambiente Construído

Creative Commons License

Esta obra está bajo una licencia internacional Creative Commons Atribución 4.0.

Aviso de derechos de autor/a

Derechos autorales

Los autores que publican en Ambiente Construído aceptan los términos:

- Los autores otorgan a la Revista el derecho de publicar bajo la Licencia de Atribución Creative Commons (CC BY 4.0), permitiendo el acceso, impresión, lectura, distribución, adaptación y desarrollo de otras investigaciones, si se reconoce la autoría.

- Se autoriza a los autores a distribuir el trabajo publicado en la Revista, como repositorios institucionales, o a incluir su artículo como parte de la tesis y/o disertación, siempre y cuando mencionen la referencia de publicación en Ambiente Construído.

- Cualquier persona puede leer, distribuir, imprimir, descargar e indicar la dirección del artículo completo sin autorización previa de la Revista respetando la licencia CC BY 4.0.

Creative Commons Attribution License

ISSN 1678-8621