WeaGETS – a Matlab-based daily scale weather generator for generating precipitation and temperature

Chen, J., Brissette, F. P. et Leconte, R.. 2012. « WeaGETS – a Matlab-based daily scale weather generator for generating precipitation and temperature ». Procedia Environmental Sciences, vol. 13. pp. 2222-2235.

Prévisualisation

PDF Brissette F 2011 14045.pdf - Version publiée Licence d'utilisation : Creative Commons CC BY-NC-ND. Télécharger (592kB) | Prévisualisation

Résumé

This paper describes a versatile stochastic daily weather generator (WeaGETS) for producing daily precipitation, maximum and minimum temperatures (Tmax and Tmin). The performance of WeaGETS is demonstrated with respect to the generation of precipitation, Tmax and Tmin for two Canadian meteorological stations. The results show that the widely used first-order Markov model is adequate for producing precipitation occurrence, but it underestimates the longest dry spell for dry station. The higher-order models have positive effects. The gamma distribution is consistently better than the exponential distribution at generating precipitation quantity. The conditional scheme is good at simulating Tmax and Tmin. The spectral correction approach built in WeaGETS successfully preserves the observed low-frequency variability and autocorrelation functions of precipitation and temperatures.

Type de document:	Article publié dans une revue, révisé par les pairs
Informations complémentaires:	Thématique : 18th Biennial ISEM Conference on Ecological Modelling for Global Change and Coupled Human and Natural System
Professeur:	Professeur Brissette, François
Affiliation:	Génie de la construction
Date de dépôt:	29 nov. 2016 21:30
Dernière modification:	19 oct. 2020 15:36
URI:	https://espace2.etsmtl.ca/id/eprint/14045

Actions (Authentification requise)

Dernière vérification avant le dépôt