Articles | Volume 18, issue 12
https://doi.org/10.5194/hess-18-5061-2014
© Author(s) 2014. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/hess-18-5061-2014
© Author(s) 2014. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
11 Dec 2014
Research article |
| 11 Dec 2014
Modeling the snow surface temperature with a one-layer energy balance snowmelt model
J. You
CORRESPONDING AUTHOR
School of Natural Resources, University of Nebraska – Lincoln, Lincoln, Nebraska 68583, USA
D. G. Tarboton
Civil and Environmental Engineering, Utah State University, Logan, Utah 84322, USA
C. H. Luce
USDA Forest Service, Rocky Mountain Research Station, 322 E Front St., Boise, ID 83702, USA
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Cited
14 citations as recorded by crossref.
- Global 0.25-degree gridded Snow water equivalent data derived from machine learning using in-situ measurements J. Seo et al.
- Wintertime surface energy balance of a high-altitude seasonal snow surface in Chhota Shigri glacier basin, Western Himalaya M. Soheb et al.
- HydroDS: Data services in support of physically based, distributed hydrological models T. Gichamo et al.
- Ensemble-based assimilation of fractional snow-covered area satellite retrievals to estimate the snow distribution at Arctic sites K. Aalstad et al.
- Exploration of the Snow Ablation Process in the Semiarid Region in China by Combining Site-Based Measurements and the Utah Energy Balance Model—A Case Study of the Manas River Basin Y. Liu et al.
- When and Where Are Multiple Snow Layers Important for Simulations of Snow Accumulation and Melt? N. Cristea et al.
- SnowClim v1.0: high-resolution snow model and data for the western United States A. Lute et al.
- Exploring the effects of climate change on the water balance of a continuously moving deep-seated landslide T. Zieher et al.
- UEB parallel: Distributed snow accumulation and melt modeling using parallel computing T. Gichamo & D. Tarboton
- How Does Availability of Meteorological Forcing Data Impact Physically Based Snowpack Simulations?* M. Raleigh et al.
- A comparison of National Water Model retrospective analysis snow outputs at snow telemetry sites across the Western United States I. Garousi‐Nejad & D. Tarboton
- Ensemble Streamflow Forecasting Using an Energy Balance Snowmelt Model Coupled to a Distributed Hydrologic Model with Assimilation of Snow and Streamflow Observations T. Gichamo & D. Tarboton
- Exploring the impact of forcing error characteristics on physically based snow simulations within a global sensitivity analysis framework M. Raleigh et al.
- Quantifying Snow Mass Mission Concept Trade-Offs Using an Observing System Simulation Experiment C. Garnaud et al.
14 citations as recorded by crossref.
- Global 0.25-degree gridded Snow water equivalent data derived from machine learning using in-situ measurements J. Seo et al.
- Wintertime surface energy balance of a high-altitude seasonal snow surface in Chhota Shigri glacier basin, Western Himalaya M. Soheb et al.
- HydroDS: Data services in support of physically based, distributed hydrological models T. Gichamo et al.
- Ensemble-based assimilation of fractional snow-covered area satellite retrievals to estimate the snow distribution at Arctic sites K. Aalstad et al.
- Exploration of the Snow Ablation Process in the Semiarid Region in China by Combining Site-Based Measurements and the Utah Energy Balance Model—A Case Study of the Manas River Basin Y. Liu et al.
- When and Where Are Multiple Snow Layers Important for Simulations of Snow Accumulation and Melt? N. Cristea et al.
- SnowClim v1.0: high-resolution snow model and data for the western United States A. Lute et al.
- Exploring the effects of climate change on the water balance of a continuously moving deep-seated landslide T. Zieher et al.
- UEB parallel: Distributed snow accumulation and melt modeling using parallel computing T. Gichamo & D. Tarboton
- How Does Availability of Meteorological Forcing Data Impact Physically Based Snowpack Simulations?* M. Raleigh et al.
- A comparison of National Water Model retrospective analysis snow outputs at snow telemetry sites across the Western United States I. Garousi‐Nejad & D. Tarboton
- Ensemble Streamflow Forecasting Using an Energy Balance Snowmelt Model Coupled to a Distributed Hydrologic Model with Assimilation of Snow and Streamflow Observations T. Gichamo & D. Tarboton
- Exploring the impact of forcing error characteristics on physically based snow simulations within a global sensitivity analysis framework M. Raleigh et al.
- Quantifying Snow Mass Mission Concept Trade-Offs Using an Observing System Simulation Experiment C. Garnaud et al.
Saved (final revised paper)
Latest update: 03 May 2026
Short summary
This paper evaluates three improvements to an energy balance snowmelt model aimed to represent snow surface temperature while retaining the parsimony of a single layer. Surface heat flow is modeled using a forcing term related to the vertical temperature difference and a restore term related to the temporal gradient of surface temperature. Adjustments for melt water refreezing and thermal conductivity when the snow is shallow are introduced. The model performs well at the three test sites.
This paper evaluates three improvements to an energy balance snowmelt model aimed to represent...
