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

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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READ_METXT
File/data descriptor
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Additional information

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

August 23, 2021

Conforms to

Update interval

Temporal coverage

Publisher Information

EnviDat

Contact points

Languages

English

Url

https://www.envidat.ch/#/metadata/meteorological-data-used-to-develop-and-validate-the-bias-detecting-ensemble-bde

Relations

Spatial

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Documentation

Keywords

Terms of use

NonCommercialAllowed-CommercialAllowed-ReferenceRequired

Metadata Access

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