A Sensitivity Study on Parameterization Scheme of Snow Internal and Interfacial Processes in Snow Model
Creators
- 1. Chinese Academy of Sciences, LASG, Institute of Atmospheric Physics (China)
Description
In order to develop a seasonal snow model of land surface process as accurately as possible for climatic study, it is necessary to fully understand the effects of important snow internal processes and interaction with air and to get an insight into influence of several relevant parameterization schemes with parameters' uncertainty to some degree. Using the snow model (SAST) developed by first author and other one and some useful field observation data, this paper has conducted a series of sensitivity studies on the parameterization schemes. They are relative to compaction process, snow thermal conduction, methodology of layering snow pack and to key parameters such as snow albedo, water holding capacity. Then, based on the results from the sensitivity studies, some useful conclusions for snow cover model improvement are obtained from the analysis of the results.
Additional details
Identifiers
- DOI
- 10.1007/BF03403512;
Publishing Information
- Journal Title
- Advances in Atmospheric Sciences (Internet)
- Journal Volume
- 18
- Journal Issue
- 5
- Journal Page Range
- p. 910-928
- ISSN
- 1861-9533
INIS
- Country of Publication
- China
- Country of Input or Organization
- International Atomic Energy Agency (IAEA)
- INIS RN
- 54054907
- Subject category
- S54: ENVIRONMENTAL SCIENCES;
- Descriptors DEI
- ALBEDO; LAYERS; SENSITIVITY ANALYSIS; SNOW; SURFACES; THERMAL CONDUCTION
- Descriptors DEC
- ATMOSPHERIC PRECIPITATIONS; ENERGY TRANSFER; HEAT TRANSFER
Optional Information
- Copyright
- Copyright (c) 2001 Advances in Atmospheric Sciences