Developing a Model for Predicting Snowpack Parameters Affecting Vehicle Mobility

The presence of snow on the ground can impose limitations on the mobility of wheeled and tracked vehicles. Snow depth and density are the two most easily measured snow properties that can be related to mobility over snow. Existing models of snowpack accumulation and ablation processes and models of...

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Bibliographic Details
Main Author: Berger,R H
Other Authors: COLD REGIONS RESEARCH AND ENGINEERING LAB HANOVER NH
Format: Text
Language:English
Published: 1983
Subjects:
Snow
Ice and Permafrost
Numerical Mathematics
Surface Transportation and Equipment
*Vehicles
*Mobility
*Snow
Tracked vehicles
Snow cover
Ground level
Accumulation
Ablation
Models
Mathematical prediction
Parameters
Heat balance
Measurement
Indexes
Density
Depth
Temperature
*Vehicle mobility
*Snowpack
Ice
permafrost
Online Access:http://www.dtic.mil/docs/citations/ADA134878
http://oai.dtic.mil/oai/oai?&verb=getRecord&metadataPrefix=html&identifier=ADA134878
Description
Summary:The presence of snow on the ground can impose limitations on the mobility of wheeled and tracked vehicles. Snow depth and density are the two most easily measured snow properties that can be related to mobility over snow. Existing models of snowpack accumulation and ablation processes and models of internal snowpack structure were examined to determine if a model of the snowpack can be developed for use in predicting the snow parameters that affect mobility. Simple models, such as temperature index models, do not provide sufficient snowpack details, and the more detailed models require too many measured inputs. Components of the various models were selected from a basis of a snowpack model for predicting snow properties related to mobility over snow. Methods of obtaining the input data from some components are suggested, and areas where more development is needed are described.

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