Uncertainties in Snowpack Simulations—Assessing the Impact of Model Structure, Parameter Choice, and Forcing Data Error on Point‐Scale Energy Balance Snow Model Performance-Reference-Cited by-同舟云学术

Uncertainties in Snowpack Simulations—Assessing the Impact of Model Structure, Parameter Choice, and Forcing Data Error on Point‐Scale Energy Balance Snow Model Performance

Published:2019-04 Issue:4 Volume:55 Page:2779-2800
ISSN:0043-1397
Container-title:Water Resources Research
language:en
Short-container-title:Water Resour. Res.

Author:

Günther Daniel¹^ORCID,Marke Thomas¹,Essery Richard²,Strasser Ulrich¹^ORCID

Affiliation:

1. Department of Geography University of InnsbruckInnsbruck Austria

2. School of GoeSciences University of Edinburgh Edinburgh UK

Publisher

American Geophysical Union (AGU)

Subject

Water Science and Technology

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1029/2018WR023403

Reference60 articles.

1. An integrated hydrologic Bayesian multimodel combination framework: Confronting input, parameter, and model structural uncertainty in hydrologic prediction

2. A General Probabilistic Framework for uncertainty and global sensitivity analysis of deterministic models: A hydrological case study

3. A physical SNOWPACK model for the Swiss avalanche warning

4. The Influence of Uncertainty in Air Temperature and Albedo on Snowmelt

5. Distributed Snowmelt Simulations in an Alpine Catchment: 2. Parameter Study and Model Predictions

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