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

DEMTXT
1-km resolution DEM used for downscaling gridded NWP data to stations and for...
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READ_METXT
File/data descriptor
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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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HS and SWE observationsZIP
Automated (HS) and manual (SWE) data used to evaluate model simulations
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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

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

Spatial

Jeux de données relationnels

Mots clés

Conditions d'utilisation

NonCommercialAllowed-CommercialAllowed-ReferenceRequired

Accès aux métadonnées

API (JSON) Télécharger XML