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Modeling soil freezing and thawing fronts in a land surface-atmosphere interaction scheme.

机译:在土地表面-大气相互作用方案中模拟土壤冻结和融化前沿。

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摘要

This dissertation presents development, testing and applications of an algorithm for the simulation of soil freezing and thawing fronts (FTFs) in land surface models. A Two-direction Stefans Algorithm (TDSA), derived from the solution of the Stefan Problem, was developed to predict the position of FTFs in soil. TDSA was tested using observed soil temperature and moisture data from several sites across a north-south transect in North America. TDSA performed well for both permafrost and seasonal frost regions. TDSA was then implemented in the Community Land Model 3 (CLM3), used in a global climate model, to predict FTFs. Several modifications, including incorporation of peat layer, canopy heat capacity, and unfrozen soil water, were also made to make CLM3 compatible to northern cold regions.; Coupled CLM3-TDSA Model testing in a boreal forest site in Saskatchewan for multiple years indicated significant improvements in the thermal response of the model, and TDSA provided better simulations of FTFs than the zero-isothermal method. Defining the start and end of the growing season using FTFs significantly improved the simulation of photosynthetic uptake. Projected warming may cause an earlier start of growing season and a higher photosynthesis during spring. Warmer temperatures would increase ecosystem respiration, causing annual net ecosystem productivity to decline.; The coupled CLM3-TDSA model was also applied to study the development of ALD (active layer depth) in permafrost regions. The roles of climate warming, soil texture and vegetation were investigated. Results showed that warming caused deeper and earlier thaw of permafrost, soil texture had a significant effect on the development of ALD, and vegetation cover affected the ALD development through its effect on ground surface energy, and the start and length of thawing season. These results showed that TDSA can be applied to study the long term changes in ALD in permafrost regions under projected climate change.
机译:本文介绍了一种模拟陆地表层土壤冻融前沿的算法的开发,测试和应用。从Stefan问题的解决方案导出了一种双向Stefans算法(TDSA),以预测FTF在土壤中的位置。使用观察到的北美洲南北横断面多个站点的土壤温度和湿度数据测试了TDSA。 TDSA在多年冻土和季节性霜冻地区表现良好。然后,在全球气候模型中使用的社区土地模型3(CLM3)中实施了TDSA,以预测FTF。还进行了一些修改,包括掺入泥炭层,冠层热容量和未冻结的土壤水,以使CLM3与北部寒冷地区兼容。在萨斯喀彻温省的一个寒带森林地区进行的CLM3-TDSA模型耦合测试多年表明,该模型的热响应有了显着改善,并且TDSA比零等温方法提供了更好的FTF模拟。使用FTF定义生长季节的开始和结束显着改善了光合吸收的模拟。预计的变暖可能会导致生长季节的开始较早,并在春季引起较高的光合作用。温度升高会增加生态系统的呼吸,导致生态系统净年生产力下降。耦合的CLM3-TDSA模型也被用于研究多年冻土区ALD(活性层深度)的发展。研究了气候变暖,土壤质地和植被的作用。结果表明,变暖导致多年冻土融化更早,更早,土壤质地对ALD的发育具有显着影响,植被覆盖度通过影响地表能量,融化季节的开始和持续时间来影响ALD的发展。这些结果表明,TDSA可用于研究预计气候变化下多年冻土地区ALD的长期变化。

著录项

  • 作者

    Yi, Shuhua.;

  • 作者单位

    McMaster University (Canada).;

  • 授予单位 McMaster University (Canada).;
  • 学科 Geophysics.; Atmospheric Sciences.
  • 学位 Ph.D.
  • 年度 2006
  • 页码 193 p.
  • 总页数 193
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 地球物理学;
  • 关键词

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