...
  • 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Journal of hydrometeorology >A Trial to Improve Surface Heat Exchange Simulation through Sensitivity Experiments over a Desert Steppe Site
【24h】

A Trial to Improve Surface Heat Exchange Simulation through Sensitivity Experiments over a Desert Steppe Site

机译：通过沙漠草原站点上的敏感性实验改进表面热交换模拟的试验

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

It is still a daunting challenge for land surface models (LSMs) to correctly represent surface heat exchange for water-limited desert steppe ecosystems. This study aims to improve the ability of the Noah LSM to simulate surface heat fluxes through addressing uncertainties in precipitation forcing conditions, rapidly evolving vegetation properties, soil hydraulic properties (SHPs), and key parameterization schemes. Three years (2008-10) of observed surface heat fluxes and soil temperature over a desert steppe site in Inner Mongolia, China, are used to verify model simulations. The proper seasonal distribution of precipitation, along with more realistic vegetation parameters, can improve the simulation of sensible heat flux (SH) and the seasonal variability of latent heat flux. Correctly representing the low-surface exchange coefficient is crucial for improving SH for short vegetation like this desert steppe site. Relating C_(zil), the coefficient in the Noah surface exchange coefficient calculation, with canopy height h improves the simulated SH and the diurnal range of soil temperature over the simulation compared with using the default constant C_(zil). The exponential water stress formulation proposed here for the Jarvis scheme improves the partitioning between soil evaporation and transpiration. It is found that the surface energy fluxes are very sensitive to SHPs. This study highlights the important role of the proper parameter values and appropriate parameterizations for the surface exchange coefficient and water stress function in canopy resistance in capturing the observed surface energy fluxes and soil temperature variations for this desert steppe site.
机译：对于陆地表面模型（LSM）来说，正确表示水受限的沙漠草原生态系统的表面热交换仍然是一个艰巨的挑战。这项研究旨在通过解决降水强迫条件，快速演变的植被特性，土壤水力特性（SHPs）和关键参数化方案的不确定性来提高Noah LSM模拟表面热通量的能力。使用了三年（2008-10）在中国内蒙古的一个沙漠草原站点上观测到的表面热通量和土壤温度来验证模型模拟。适当的降水季节分布以及更实际的植被参数可以改善对感热通量（SH）的模拟以及潜热通量的季节性变化。正确表示低地表交换系数对于改善像该荒漠草原这样的短植被的SH至关重要。与使用默认常数C_（zil）相比，将诺亚表面交换系数计算中的系数C_（zil）与树冠高度h相比，可以提高模拟的SH和土壤温度的日变化范围。这里为Jarvis方案提出的指数水分胁迫公式改善了土壤蒸发与蒸腾作用之间的分配。发现表面能通量对小水电非常敏感。这项研究强调了适当的参数值和适当的参数化参数对于表层交换系数和水分胁迫函数在冠层阻力中的重要作用，以捕获该荒漠草原站点观测到的表面能通量和土壤温度变化。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号