Meteorological data used to develop and validate the bias-detecting ensemble (BDE)

DOI

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.

Identifier
DOI https://doi.org/10.16904/envidat.600
Metadata Access https://www.envidat.ch/api/action/package_show?id=04470a99-93e5-499d-b869-6c30dffdc2f5
Provenance
Creator Adam, Winstral, 0000-0003-2556-8359
Publisher EnviDat
Publication Year 2019
Funding Reference Funding information not available.,
Rights odc-odbl; ODbL with Database Contents License (DbCL)
OpenAccess true
Contact envidat(at)wsl.ch
Representation
Language English
Resource Type Dataset
Version 1.0
Discipline Environmental Sciences
Spatial Coverage (5.956W, 45.818S, 10.492E, 47.808N); Switzerland
Temporal Coverage Begin 2013-10-01T00:00:00Z
Temporal Coverage End 2017-06-30T00:00:00Z