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 and Resources

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

Additional Info

Field	Value
Identifier	04470a99-93e5-499d-b869-6c30dffdc2f5@envidat
Title for URL of the dataset	meteorological-data-used-to-develop-and-validate-the-bias-detecting-ensemble-bde
Schedule the publication of the dataset	-
Issued date	January 8, 2019
Modification date	March 6, 2025
Conforms to	-
Update interval	-
Temporal coverage	-
Publisher Information	EnviDat
Contact points	EnviDat Support Adam Winstral
Languages	English
URL	https://www.envidat.ch/#/metadata/meteorological-data-used-to-develop-and-validate-the-bias-detecting-ensemble-bde
Relation	-
Spatial	-
Related datasets	-
Documentation	-
Keywords	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