Contribution
Université de Sherbrooke
$100,000.00
EF 2021-22 · 2021-11-02
Résumé
Assessing the role of spatially distributed data assimilation of multiple snow measurements and meteorological forcings in hydrological models to improve streamflow forecasting
Programme
—
Bénéficiaire
Emplacement
Sherbrooke, Quebec, Canada
Type de bénéficiaire
Academia
Type
Contribution
Source
Proactive Disclosure - Grants and Contributions
Tel que publié
Reference Number
099-2021-2022-Q3-00214
Amendment Number
0
Agreement Type
Contribution
Recipient Type
S
Recipient Legal Name
Université de Sherbrooke
Recipient Country
CA
Recipient Province or Territory
QC
Recipient City
Sherbrooke
Agreement Number
GCXE22M016
Agreement Value
$100,000.00
Agreement Start Date
2021-11-02
Description
Assessing the role of spatially distributed data assimilation of multiple snow measurements and meteorological forcings in hydrological models to improve streamflow forecasting
Description (French)
Évaluation du rôle de l’assimilation de données réparties géographiquement de multiples relevés nivéométriques et de données de forçage météorologique de modèles hydrologiques pour améliorer la prévision des débits
Additional Information
Multi-year
Additional Information (French)
Entente pluriannuelle
Organization Code
ec
Organization
Environment and Climate Change Canada | Environnement et Changement climatique Canada
