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.

Daten und Ressourcen

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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Zusätzliche Informationen

Feld	Wert
Identifier	04470a99-93e5-499d-b869-6c30dffdc2f5@envidat
Titel für die URL des Datasets	meteorological-data-used-to-develop-and-validate-the-bias-detecting-ensemble-bde
Veröffentlichung des Datasets terminieren	-
Erstellungsdatum	8. Januar 2019
Änderungsdatum	6. März 2025
Konform mit	-
Aktualisierungsintervall	-
Zeitliche Abdeckung	-
Publisher-Informationen	EnviDat
Kontaktstellen	EnviDat Support Adam Winstral
Sprachen	Englisch
URL	https://www.envidat.ch/#/metadata/meteorological-data-used-to-develop-and-validate-the-bias-detecting-ensemble-bde
Beziehung	-
Räumlich	-
Verwandte Datensätze	-
Dokumentation	-
Schlagwörter	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