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

READ_METXT
File/data descriptor
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HS and SWE observationsZIP
Automated (HS) and manual (SWE) data used to evaluate model simulations
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DEMTXT
1-km resolution DEM used for downscaling gridded NWP data to stations and for...
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Station forcing dataZIP
All forcing data need to run JIM at HS and SWE stations. These are data...
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Info additionnelle

Champ	Valeur
Identifier	04470a99-93e5-499d-b869-6c30dffdc2f5@envidat
Titre pour le URL du Dataset	meteorological-data-used-to-develop-and-validate-the-bias-detecting-ensemble-bde
Planifier la publication du jeu de données	-
Date de publication	8 janvier 2019
Date de la dernière modification	6 mars 2025
Conforme à	-
Intervalle d'actualisation	-
Couverture temporelle	-
Informations relatives à l’éditeur	EnviDat
Points de contact	EnviDat Support Adam Winstral
Langues	Anglais
URL	https://www.envidat.ch/#/metadata/meteorological-data-used-to-develop-and-validate-the-bias-detecting-ensemble-bde
Relation	-
Spatial	-
Jeux de données relationnels	-
Documentation	-
Mots clés	snow-simulation jules-investigation... jim snow snow-depth
Terms of use	https://opendata.swiss/terms-of-use#terms_by
Metadata Access	API (JSON) Download XML