A prediction model for snowmelt, snow surface temperature and freezing depth using a heat balance method

J. Kondo, T. Yamazaki

Research output: Contribution to journalArticlepeer-review

80 Citations (Scopus)

Abstract

This model takes into account both the heat balance at the snow surface and that of the entire snow cover and simultaneously predicts the snow surface temperature and freezing depth. Observed or estimated incident radiation data are required for operation of the model. Calculated amounts of snowmelt and snow surface temperatures were in agreement with those observed. Dependency of snowmelt on several parameters including maximum liquid water content, thermal conductivity and albedo of the snow was examined. It was found that as liquid water content or thermal conductivity increases, snowmelt decreases. Albedo is very influential in evaluating snowmelt. -from Authors

Original languageEnglish
Pages (from-to)375-384
Number of pages10
JournalJournal of Applied Meteorology
Volume29
Issue number5
DOIs
Publication statusPublished - 1990

ASJC Scopus subject areas

  • Atmospheric Science

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