Meteorological data used to develop and validate the bias-detecting ensemble (BDE)

These data were used to drive and evaluate Jules Investigation Model (JIM) snow simulations. The data provided are the forcing data used for the "deterministic" runs as described in Winstral et al., 2019. The bias-detecting ensemble (Winstral et al., 2019) used observed snow depths (HS) to detect biases in these deterministic simulations related to precipitation and energy inputs to JIM. Simulations that included the BDE evaluations substantially improved JIM simulations.

Données et ressources

Informations complémentaires

Identifiant
04470a99-93e5-499d-b869-6c30dffdc2f5@envidat
Titre pour le URL du Dataset
meteorological-data-used-to-develop-and-validate-the-bias-detecting-ensemble-bde
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Date de publication
8 Janvier 2019
Date de la dernière modification
23 Août 2021
Intervalle d'actualisation
-
Couverture temporelle
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Informations relatives à l’éditeur
Eawag: Swiss Federal Institute of Aquatic Science and Technology
Points de contact
Langues
Anglais
Url
https://www.envidat.ch/#/metadata/meteorological-data-used-to-develop-and-validate-the-bias-detecting-ensemble-bde
Relation
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Spatial
Jeux de données relationnels
Mots clés
Conditions d'utilisation
NonCommercialAllowed-CommercialAllowed-ReferenceRequired
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