A Review on Snowmelt Models: Progress and Prospect

Gang Zhou, Manyi Cui, Junhong Wan and Shiqiang Zhang
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Gang Zhou: College of Urban and Environmental Sciences, Northwest University, Xi’an 710127, China
Manyi Cui: College of Urban and Environmental Sciences, Northwest University, Xi’an 710127, China
Junhong Wan: College of Urban and Environmental Sciences, Northwest University, Xi’an 710127, China
Shiqiang Zhang: College of Urban and Environmental Sciences, Northwest University, Xi’an 710127, China

Sustainability, 2021, vol. 13, issue 20, 1-27

Abstract: The frequency and intensity of flood events have been increasing recently under the warming climate, with snowmelt floods being a significant part. As an effective manner of simulating snowmelt flood, snowmelt models have attracted more and more attention. Through comprehensive analysis of the literature, this paper reviewed the characteristics and current status of different types of snowmelt models, as well as the different coupling methods of models for runoff generation and confluence. We then discussed key issues in snowmelt modelling, including blowing snow model, frozen ground model, and rain-on-snow model. Finally, we give some perspectives from four aspects: data, model structure, forecast and early warning, and forecast and estimation. At present, most of the snowmelt models do not have blowing snow or frozen ground modules. Explicit consideration of blowing snow and soil freezing/thawing processes can improve the accuracy of snowmelt runoff simulations. With climate warming, rain-on-snow events have increased, but the mechanism of enhanced rain and snow mixed flooding is still unclear, particularly for the mechanism of rain-snow-ice mixed runoff generation. The observation and simulation of rain and snow processes urgently need further study. A distributed physical snowmelt model based on energy balance is an advanced tool for snowmelt simulation, but the model structure and parameter schemes still need further improvements. Moreover, the integration of satellite-based snow products, isotopes, and terrestrial water storage change, monitored by gravity satellites, can help improve the calibration and validation of snowmelt models.

Keywords: snowmelt flood; snowmelt model; blowing snow; frozen ground; rain-on-snow (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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