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首页> 外文期刊>Journal of hydrometeorology >Meteorological Forcing Datasets for Blowing Snow Modeling on the Tibetan Plateau: Evaluation and Intercomparison
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Meteorological Forcing Datasets for Blowing Snow Modeling on the Tibetan Plateau: Evaluation and Intercomparison

机译：藏高原吹雪建模的气象迫使数据集：评估与互相

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摘要

In this paper, the reliability of the wind speed, temperature, humidity, pressure, and precipitation values of three surface meteorological forcing products [China Meteorological Administration Land Data Assimilation System, version 2 (CLDAS-2); China Meteorological Forcing Dataset (CMFD); and Modern-Era Retrospective Analysis for Research and Applications, version 2 (MERRA-2)] in the Tibetan Plateau (TP) region was investigated from 2008 to 2014. Compared with the China Meteorological Administration (CMA) observations, CLDAS-2 exhibited the highest correlation coefficient for wind speed, CMFD displayed the best coefficients for temperature and specific humidity, and MERRA-2 best reflected pressure variations. Based on the biases, CLDAS-2 exhibited the best overall performance for temperature, specific humidity, and pressure, while CMFD displayed the best performance for wind speed. The high overall accuracy and false alarm ratio of precipitation based on MERRA-2 both stem from its continuous overestimation of the precipitation frequency. Both CLDAS-2 and CMFD overestimated the nonprecipitation frequency in comparisons with CMA observations, and a significant positive bias exists in MERRA-2 based on the analysis of daily precipitation. The results obtained from the comparisons with field observations over the TP and CMA observations are similar, except for the temperature and humidity biases of CLDAS-2. The meteorological effects on the coupled land-blowing snow modeling discussed in this paper suggest that the occurrence of blowing snow and snowdrift sublimation are projected to be reduced by CLDAS-2 due to the underestimation of wind speed, continual lack of snowfall events, and the positive biases in low temperatures and humidity, while simulations of blowing processes by MERRA-2 are likely to be much more severe than they actually are. These results may contribute to identifying deficiencies associated with the development of land surface models coupled with a b
机译：本文采用了风速，温度，湿度，压力和沉淀值的可靠性三种表面气象迫使产品[中国气象管理土地数据同化系统，版本2（CLDAS-2）;中国气象迫使数据集（CMFD）;和现代时代的研究和应用的回顾性分析，2008年至2014年的西藏高原（TP）区域的版本2（Merra-2）]。与中国气象局（CMA）观察相比，CLDAS-2展示了风速的最高相关系数，CMFD显示了温度和特定湿度的最佳系数，以及Merra-2最佳反射压力变化。基于偏差，CLDAS-2表现出最佳的温度，特定湿度和压力的总体性能，而CMFD为风速显示了最佳性能。基于Merra-2的沉淀的高总体精度和误报例源于其常温沉淀频率的持续高估。 CLDAS-2和CMFD都高估了与CMA观察的比较中的非浸润频率，并且基于日常降水分析，Merra-2中存在显着的阳性偏差。除了CLDAS-2的温度和湿度偏差之外，从TP和CMA观测结果获得的比较获得的结果是相似的。本文讨论的耦合陆地吹雪建模的气象效应表明，由于风速低估，持续缺乏降雪事件，将吹雪和雪花沿升华的发生吹雪和雪花沿升华的发生是减少的低温和湿度的正偏差，而Merra-2的吹割过程的模拟可能比其实际更严重。这些结果可能有助于识别与与B耦合的陆地表面模型的开发相关的缺陷

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  • 来源
    《Journal of hydrometeorology》 |2017年第10期|共20页
  • 作者

    Xie Zhipeng; Hu Zeyong; Gu Lianglei; Sun Genhou; Du Yizhen; Yan Xiaoqiang;

  • 作者单位

    Chinese Acad Sci Key Lab Land Surface Proc &

    Climate Change Cold &

    Northwest Inst Ecoenvironm &

    Resources Lanzhou Gansu Peoples R China;

    Chinese Acad Sci Key Lab Land Surface Proc &

    Climate Change Cold &

    Northwest Inst Ecoenvironm &

    Resources Lanzhou Gansu Peoples R China;

    Chinese Acad Sci Key Lab Land Surface Proc &

    Climate Change Cold &

    Northwest Inst Ecoenvironm &

    Resources Lanzhou Gansu Peoples R China;

    Chinese Acad Sci Key Lab Land Surface Proc &

    Climate Change Cold &

    Northwest Inst Ecoenvironm &

    Resources Lanzhou Gansu Peoples R China;

    Univ Chinese Acad Sci Beijing Peoples R China;

    Chinese Acad Sci Key Lab Land Surface Proc &

    Climate Change Cold &

    Northwest Inst Ecoenvironm &

    Resources Lanzhou Gansu Peoples R China;

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  • 正文语种 eng
  • 中图分类 水文循环与水文气象;
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