4.4 Article

Modeling the Surface Energy Budget during the Thawing Period of the 2006 Montreal Urban Snow Experiment

期刊

出版社

AMER METEOROLOGICAL SOC
DOI: 10.1175/2009JAMC2153.1

关键词

-

资金

  1. Canadian Foundation for Climate and Atmospheric Sciences (CFCAS)
  2. Environmental Prediction in Canadian Cities (EPiCC)
  3. Chemical, Radiological, Biological, and Nuclear (CRBN)
  4. Canadian Research and Technology Initiative (CRTI)
  5. Meteorological Service of Canada (MSC)

向作者/读者索取更多资源

The Montreal Urban Snow Experiment was dedicated to furthering the understanding of micrometeorological processes involved in the late winter-early spring transition period in a Canadian city. A surface energy budget (SEB) measurement site was installed in a dense residential area of Montreal for several weeks in 2005 and 2006. This paper focuses on the last 6 days of the 2006 experiment (23-28 March 2006), after snowmelt and before vegetation became active, with the objectives of providing a better understanding of physical processes involved during this transition period and examining their impact on the SEB. The Town Energy Balance urban canopy model and the Interactions between Soil, Biosphere, and Atmosphere force-restore land surface model are used in stand-alone mode and are forced with meteorological data measured at the top of a 20-m AGL instrumented tower. Preliminary results reveal deficiencies in the models' ability to simulate the surface energy budget partitioning, and in particular show overestimation of the sensible heat flux. Sensitivity studies indicate that a large portion of these problems is related to the latent heat transfer involved in natural soil freeze/thaw processes, which has a significant effect on the surface energy budget in this urban area. It is also found that the SEB in this particular situation is very sensitive to the thermal roughness length used for local energy exchange over the roof and road surfaces.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.4
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据