ENGLISH
La vitrine de diffusion des publications et contributions des chercheurs de l'ÉTS
RECHERCHER

Comparison of climate datasets for lumped hydrological modeling over the continental United States

Téléchargements

Téléchargements par mois depuis la dernière année

Plus de statistiques...

Essou, Gilles R. C., Arsenault, Richard et Brissette, François P.. 2016. « Comparison of climate datasets for lumped hydrological modeling over the continental United States ». Journal of Hydrology, vol. 537. pp. 334-345.
Compte des citations dans Scopus : 48.

[thumbnail of Arsenault-R-2016-12580.pdf]
Prévisualisation
PDF
Arsenault-R-2016-12580.pdf - Version acceptée
Licence d'utilisation : Creative Commons CC BY-NC-ND.

Télécharger (1MB) | Prévisualisation

Résumé

Climate data measured by weather stations are crucially important and regularly used in hydrologic modeling. However, they are not always available due to the low spatial density and short record history of many station networks. To overcome these limitations, gridded datasets have become increasingly available. They have excellent continuous spatial coverage and no missing data. However, these datasets are usually interpolated using station data, with little new information besides elevation. Furthermore, minimal validation has been done on most of these datasets. This study compares three such datasets covering the continental United States to evaluate their differences and their impact on lumped hydrological modeling. Three daily time step gridded datasets with resolutions varying between 0.25° and 1 km were used in this study – Santa-Clara, Daymet and CPC. The hydrological modeling evaluation of these datasets was performed over 424 basins from the MOPEX database. Results show that there are significant differences between the datasets, even though they were essentially all interpolated from almost the same climate databases. Despite those differences, the hydrological model used in this study was able to perform equally well after a specific calibration to each dataset. While there were a few exceptions, by and large, Nash–Sutcliffe efficiency metrics obtained in validation were not statistically different from one database to the other for most basins. It appears that there are no reasons to favor one dataset versus another for lumped hydrological modeling, and that these datasets perform just as well as using the original station data.

Type de document: Article publié dans une revue, révisé par les pairs
Professeur:
Professeur
Arsenault, Richard
Brissette, François
Affiliation: Autres, Génie de la construction
Date de dépôt: 10 mai 2016 16:26
Dernière modification: 03 déc. 2021 19:05
URI: https://espace2.etsmtl.ca/id/eprint/12580

Actions (Authentification requise)

Dernière vérification avant le dépôt Dernière vérification avant le dépôt