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Impact of land surface representation and surface data assimilation on the simulation of an off-shore trough over the Arabian Sea

机译:地表表示和地表数据同化对阿拉伯海近海海槽模拟的影响

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摘要

The accurate simulation of location and evolution of the off-shore trough and its associated inland precipitation is sensitive to the representation of the surface processes within a mesoscale model. The objectives of this study are (i) to investigate the effect of the Noah land surface model (LSM) over a multilevel soil slab model and (ii) focusing on an off-shore trough formed over the Arabian Sea during June 2002, assess the impact on the simulation of improved surface representation using surface data assimilation (SDA) and four-dimensional data assimilation (FDDA). The model used in this study is the Fifth Generation Mesoscale Model (MM5). Four sets of numerical experiments were performed to illustrate the study objectives, and the results of these different simulations are compared with one another, with the analysis, and with the observations. The inclusion of the Noah LSM was observed to contribute to a decrease in the surface moisture content and an increase in the ground temperature over the land regions during the day. These effects in turn resulted in an increase in the surface sensible heat flux and a decrease in the surface latent heat flux over the land during the day. Also, the inclusion of Noah LSM has strengthened the horizontal east-west gradients of the surface humidity due to land sea contrasts and simultaneously reduced the north-south gradients of surface humidity over the land during the day. As is evident in the comparison with ship observations, the inclusion of detailed land surface processes as well as surface data assimilation resulted in improved simulation of surface-sensible and latent heat fluxes. Moreover, the SDA run simulated the strongest vertical wind velocity fields as well as the associated potential vorticity fields as compared with the other runs. We conclude that the improvements in the land surface representation and surface data assimilation not only resulted in more accurate land surface boundary conditions, but also more accurate evolution of the dynamical processes which provided a more accurate simulation of the off shore trough.
机译:精确模拟近海海槽的位置和演化及其相关的内陆降水对中尺度模型内地表过程的表示很敏感。这项研究的目的是(i)研究Noah地表模型(LSM)对多层土壤板模型的影响,以及(ii)重点研究2002年6月在阿拉伯海形成的近海海槽,使用表面数据同化(SDA)和三维数据同化(FDDA)对改进的表面表示的模拟产生影响。本研究中使用的模型是第五代中尺度模型(MM5)。进行了四组数值实验以说明研究目标,并将这些不同模拟的结果相互之间,与分析之间以及与观察结果之间进行比较。在白天,观察到包含Noah LSM有助于降低陆地上的表面水分含量和升高地面温度。这些影响继而导致白天陆地上表面显热通量增加,表面潜热通量减少。同样,由于陆海对比,Noah LSM的加入增强了地表湿度的水平东西向梯度,同时在白天降低了陆地上地表湿度的南北梯度。从与船舶观测的比较中可以明显看出,包括详细的陆地表面过程以及表面数据同化,可以改善对表面敏感和潜热通量的模拟。此外,与其他运行相比,SDA运行模拟了最强的垂直风速场以及相关的潜在涡度场。我们得出的结论是,对地表表示和地表数据同化的改进不仅导致了更精确的地表边界条件,而且还导致了动力学过程的更精确演化,从而为离岸海槽提供了更精确的模拟。

著录项

  • 来源
    《Global and planetary change》 |2009年第2期|104-116|共13页
  • 作者单位

    Department of Physics and Meteorology, Indian Institute of Technology, Kharagpur-721302, India;

    Department of Physics and Meteorology, Indian Institute of Technology, Kharagpur-721302, India;

    Department of Agronomy, Purdue University, West Lafayette, IN, USA Department of Earth and Atmospheric Sciences, Purdue University, West Lafayette, IN, USA;

    Division of Atmospheric Sciences, National Science Foundation, Arlington, VA 22230, USA Office of Biological and Environmental Research, Office of Science, Department of Energy, Cermantown, MD 20874, USA;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    data assimilation; mesoscale model; land surface model; MODIS; Arabian Sea;

    机译:数据同化中尺度模型地表模型;MODIS;阿拉伯海;

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