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首页> 外文期刊>Journal of hydrologic engineering >Empirical Model Development for Ground Snow Sublimation beneath a Temperate Mixed Forest in Changbai Mountain
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Empirical Model Development for Ground Snow Sublimation beneath a Temperate Mixed Forest in Changbai Mountain

机译:长白山温带混交林下积雪升华的经验模型开发

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摘要

To develop an empirical model for ground snow sublimation beneath canopy, a weighing measurement experiment was conducted using snow samples with different density in the broadleaved Koreanpine mixed forest in Changbai Mountains, Northeastern China. Eddy covariance measurement for water vapor flux was used to evaluate the model performance. Eddy covariance data showed that the daytime sublimation was much larger than the nighttime sublimation, and 94.3% of daily sublimation occurred within the 8 h from 8:00 to 16:00. Daytime sublimation showed a linear relationship with snow density, and the regression coefficients between them varied with meteorological variables. The regression slope was closely correlated to solar radiation (R2 = 0.92) and water vapor pressure (R2 = 0.79), whereas the regression intercept was closely correlated to air temperature (R2 = 0.92). Based on the regression relationships among sublimation, snow density, and meteorological variables, a nonlinear empirical sublimation model with a combination of snow density, solar radiation, water vapor pressure, and air temperature was developed. Sublimation estimation of the empirical model matched the eddy covariance data giving R~2 = 0.83 and root mean square error (RMSE) = 0.05 mm • d~(-1). The surface reflectivity decreased with the increase in snow density. Dense snowpack would absorb more energy and promote snow sublimation by increasing the vertical water vapor pressure deficit between snow surface and atmosphere.
机译:为了建立冠层下地面积雪升华的经验模型,在中国东北长白山阔叶红松混交林中使用不同密度的积雪进行了称重测量实验。水蒸气通量的涡度协方差测量用于评估模型性能。涡度协方差数据表明,白天的升华比夜间的升华大得多,每天升华的94.3%发生在8:00至16:00的8小时内。日间升华与雪密度呈线性关系,二者之间的回归系数随气象变量而变化。回归斜率与太阳辐射(R2 = 0.92)和水蒸气压力(R2 = 0.79)密切相关,而回归截距与气温(R2 = 0.92)密切相关。基于升华,积雪密度和气象变量之间的回归关系,建立了包含积雪密度,太阳辐射,水蒸气压力和气温的非线性经验升华模型。经验模型的升华估计与涡旋协方差数据匹配,得出R〜2 = 0.83,均方根误差(RMSE)= 0.05 mm•d〜(-1)。随着雪密度的增加,表面反射率降低。密集的积雪会吸收更多的能量,并通过增加积雪表面和大气层之间的垂直水蒸气压差来促进积雪的升华。

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  • 来源
    《Journal of hydrologic engineering》 |2016年第11期|04016040.1-04016040.7|共7页
  • 作者单位

    Key Laboratory of Forest Ecology and Management,Institute of Applied Ecology, Chinese Academy of Sciences, Shenyang 110016, China Univ. of Chinese Academy of Sciences, Beijing 100049,China;

    Key Laboratory of Forest Ecology and Management, Institute of Applied Ecology, Chinese Academy of Sciences, Shenyang 110016, China;

    Key Laboratory of Forest Ecology and Management, Institute of Applied Ecology, Chinese Academy of Sciences, Shenyang 110016,China;

    Key Laboratory of Forest Ecology and Management, Institute of Applied Ecology, Chinese Academy of Sciences, Shenyang 110016, China;

    Key Laboratory of Forest Ecology and Management, Institute of Applied Ecology, Chinese Academy of Sciences, Shenyang 110016, China;

    Key Laboratory of Forest Ecology and Management,Institute of Applied Ecology, Chinese Academy of Sciences, Shenyang 110016, China;

    School of Applied Meteorology, Nanjing Univ. of Information Science and Technology, Nanjing 210044, China;

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

    Sublimation model; Snow density; Meteorological variables; Mixed forest in Changbai Mountain;

    机译:升华模型雪密度;气象变量;长白山混交林;

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