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  Modeling the snow cover in climate studies - 1. Long-term integrations under different climatic conditions using a multilayered snow-cover model

Loth, B., & Graf, H. F. (1998). Modeling the snow cover in climate studies - 1. Long-term integrations under different climatic conditions using a multilayered snow-cover model. Journal of Geophysical Research: Atmospheres, 103, 11313-11327. doi:10.1029/97JD01411.

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Journal of Geophysical Research Atmospheres - 1998 - Loth - Modeling the snow cover in climate studies 1 Long‐term.pdf (Publisher version), 2MB
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Journal of Geophysical Research Atmospheres - 1998 - Loth - Modeling the snow cover in climate studies 1 Long‐term.pdf
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1998
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© AGU
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 Creators:
Loth , B.1, Author
Graf, Hans F.2, Author           
Affiliations:
1external, ou_persistent22              
2The Atmosphere in the Earth System, MPI for Meteorology, Max Planck Society, ou_913550              

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 Abstract: A physically based model of a snow cover, which has been designed for climate studies, was tested under different conditions (Arctic, midlatitudes, alpine regions). This multi layered model can be used for stand-alone experiments as well as for implementation into sophisticated coupled models. One version of the model, which considers a partial snow coverage of the gr id cells and an albedo masking effect by vegetation, is formulated for the Hamburg climate model ECHAM [Roeckner et al., 1992]. The key parameters of the snow-cover model are snow albedo, description of liquid water (storage capacity, transmission rate), turbulent fluxes at the snow surface, hear; conduction (internal heat conduction and heat exchange with ground), new snow density and density changes due to aging, and the choice of snow layers. Wind drifting processes and an additional form of metamorphism, the wind compaction, have to be considered in areas with high wind speeds. In order to obtain the simulation quality which is necessary for climate studies when using observed forcing data, the precipitation measurements should be corrected and information concerning the precipitation type should be given in the input data sets. A further improvement of the model could be reached by the implementation of a more sophisticated transmission scheme for liquid water, the use of a wind dependent new snow density, and the modification of snow albedo due to different rates of pollution.

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Language(s): eng - English
 Dates: 1998
 Publication Status: Issued
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: Peer
 Identifiers: ISI: 000073758200012
DOI: 10.1029/97JD01411
 Degree: -

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Title: Journal of Geophysical Research: Atmospheres
  Other : JGR-D
  Abbreviation : J. Geophys. Res. - D
Source Genre: Journal
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Publ. Info: Washington, D.C. : American Geophysical Union
Pages: - Volume / Issue: 103 Sequence Number: - Start / End Page: 11313 - 11327 Identifier: ISSN: 0148-0227
CoNE: https://pure.mpg.de/cone/journals/resource/991042728714264_1