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.

Data e Risorse

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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Informazioni addizionali

Campo	Valore
Identifier	04470a99-93e5-499d-b869-6c30dffdc2f5@envidat
Titolo per l’URL del dataset	meteorological-data-used-to-develop-and-validate-the-bias-detecting-ensemble-bde
Pianificare la pubblicazione del dataset	-
Data di pubblicazione	8 gennaio 2019
Data ultima modifica	6 marzo 2025
Conforme a	-
Intervallo di aggiornamento	-
Copertura temporale	-
Dataset Information	EnviDat
Punti di contatto	EnviDat Support Adam Winstral
Lingue	Inglese
URL	https://www.envidat.ch/#/metadata/meteorological-data-used-to-develop-and-validate-the-bias-detecting-ensemble-bde
Relazione	-
Spaziale	-
Set di dati relativi	-
Documentazione	-
Parole chiave	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