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The Use of Reanalyses and Gridded Observations as Weather Input Data for a Hydrological Model: Comparison of Performances of Simulated River Flows Based on the Density of Weather Stations

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Type de ressource
Article de revue
Auteurs/contributeurs
  • Essou, Gilles R. C. (Auteur)
  • Brissette, François (Auteur)
  • Lucas-Picher, Philippe (Auteur)
Titre
The Use of Reanalyses and Gridded Observations as Weather Input Data for a Hydrological Model: Comparison of Performances of Simulated River Flows Based on the Density of Weather Stations
Résumé
Abstract Precipitation forcing is critical for hydrological modeling as it has a strong impact on the accuracy of simulated river flows. In general, precipitation data used in hydrological modeling are provided by weather stations. However, in regions with sparse weather station coverage, the spatial interpolation of the individual weather stations provides a rough approximation of the real precipitation fields. In such regions, precipitation from interpolated weather stations is generally considered unreliable for hydrological modeling. Precipitation estimates from reanalyses could represent an interesting alternative in regions where the weather station density is low. This article compares the performances of river flows simulated by a watershed model using precipitation and temperature estimates from reanalyses and gridded observations. The comparison was carried out based on the density of surface weather stations for 316 Canadian watersheds located in three climatic regions. Three state-of-the-art atmospheric reanalyses—ERA-Interim, CFSR, and MERRA—and one gridded observations database over Canada—Natural Resources Canada (NRCan)—were used. Results showed that the Nash–Sutcliffe values of simulated river flows using precipitation and temperature data from CFSR and NRCan were generally equivalent regardless of the weather station density. ERA-Interim and MERRA performed significantly better than NRCan for watersheds with weather station densities of less than 1 station per 1000 km2 in the mountainous region. Overall, these results indicate that for hydrological modeling in regions with high spatial variability of precipitation such as mountainous regions, reanalyses perform better than gridded observations when the weather station density is low.
Publication
Journal of Hydrometeorology
Volume
18
Numéro
2
Pages
497-513
Date
2017-02-01
Langue
en
DOI
10.1175/JHM-D-16-0088.1
ISSN
1525-755X, 1525-7541
Titre abrégé
The Use of Reanalyses and Gridded Observations as Weather Input Data for a Hydrological Model
URL
http://journals.ametsoc.org/doi/10.1175/JHM-D-16-0088.1
Consulté le
05/03/2025 19:58
Catalogue de bibl.
DOI.org (Crossref)
Autorisations
http://www.ametsoc.org/PUBSReuseLicenses
Référence
Essou, G. R. C., Brissette, F., & Lucas-Picher, P. (2017). The Use of Reanalyses and Gridded Observations as Weather Input Data for a Hydrological Model: Comparison of Performances of Simulated River Flows Based on the Density of Weather Stations. Journal of Hydrometeorology, 18(2), 497–513. https://doi.org/10.1175/JHM-D-16-0088.1
Auteur·e·s
  • Lucas-Picher, Philippe
Document
  • Essou et al. - 2017 - The Use of Reanalyses and Gridded Observations as Weather Input Data for a Hydrological Model Compa.pdf
Lien vers cette notice
https://bibliographies.uqam.ca/escer/bibliographie/G2HXBCA2
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