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

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

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

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Erstellungsdatum

8. Januar 2019

Änderungsdatum

23. August 2021

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EnviDat

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Sprachen

Englisch

Url

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

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NonCommercialAllowed-CommercialAllowed-ReferenceRequired

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