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Variation characteristics of water vapor distribution during 2000-2008 over Hefei (31.9 degrees N, 117.2 degrees E) observed by L625 lidar

机译:L625激光雷达观测到的2000-2008年合肥(31.9°N,117.2°E)上水汽分布的变化特征

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摘要

Observations of monthly and seasonal nightly water vapor variations over Hefei utilizing L625 lidar water vapor data observed from 2000 to 2008 is the focus of this study. The experimental setup and main parameters of the L625 lidar for water vapor measurement are first presented, then the measurement principle of water vapor and data processing methods are introduced. The water vapor measurement precision of the lidar system was analyzed by comparison with radiosonde. Monthly and seasonal water vapor profiles were built by analyzing 2000-2008 lidar data. In the vertical direction, results show that water vapor content decreases gradually with height. The more the water vapor content in the low atmosphere, the faster the decay rate with altitude. As far as monthly variation, the water vapor content first increases and then decreases with month. The maximum content of water vapor appears in July, at mixing ratio of 15.6 g/kg at 1 km. The seasonal variability of water vapor content is rather obvious. In summer the water vapor mixing ratio reaches up to 15.0 g/kg at 1 km, and in winter it is only 3.9 g/kg at the same altitude. Interannual variation of water vapor content differs between seasons (as revealed in the standard deviation of data) where summer is least stable and autumn is the most stable. Precipitable water vapor is calculated from water vapor mean profiles at 1-4 km and the relationship between precipitable water vapor and precipitation is also investigated. A clear positive correlation is found with Pearson correlation coefficients (R) 0.933 between monthly precipitation and mean precipitable water vapor, as well a clear positive correlation between seasonal precipitation and seasonal mean precipitable water vapor (R = 0.988). Precipitation conversion efficiency (PCE) is calculated from precipitation and precipitable water vapor. The monthly PCE reaches its maximum in October at 25.8%, and drops to its minimum in January at 115%. Seasonal PCE's minimum is 15.2% in autumn and 23.7% in winter, at maximum. (C) 2015 Elsevier B.V. All rights reserved.
机译:本研究的重点是利用2000年至2008年观测到的L625激光雷达水汽数据观测合肥市月度和季节性夜间水汽变化。介绍了L625激光雷达水蒸气测量的实验装置和主要参数,然后介绍了水蒸气的测量原理和数据处理方法。通过与无线电探空仪比较,分析了激光雷达系统的水蒸气测量精度。通过分析2000-2008年激光雷达数据,建立了每月和季节性水汽剖面。在垂直方向上,结果表明水蒸气含量随高度逐渐降低。在低层大气中水汽含量越高,随高度的衰减速度越快。就月变化而言,水蒸气含量首先增加,然后随月减少。水汽的最大含量出现在7月,在1 km处的混合比为15.6 g / kg。水蒸气含量的季节性变化非常明显。夏季,在1 km处水蒸汽混合比高达15.0 g / kg,而在相同高度下,冬季仅为3.9 g / kg。在夏季最不稳定而秋季最稳定的季节之间,水蒸气含量的年际变化有所不同(如数据的标准偏差所揭示)。根据1-4 km处的水蒸气平均廓线计算出可沉淀的水蒸气,并研究了可沉淀的水蒸气与降水之间的关系。发现月降水与平均可沉淀水汽之间的皮尔逊相关系数(R)为0.933,呈明显的正相关,季节性降水与季节性可沉淀水汽之间的相关也呈明显的正相关(R = 0.988)。沉淀转化效率(PCE)由沉淀和可沉淀水蒸气计算得出。月度PCE在10月份达到最高点,为25.8%,而在1月份降至最低点,为115%。秋季PCE的最小值在秋季最大为15.2%,冬季为23.7%。 (C)2015 Elsevier B.V.保留所有权利。

著录项

  • 来源
    《Atmospheric research》 |2015年第octaano期|1-8|共8页
  • 作者单位

    Anhui Atmospher Observat & Tech Support Ctr, Hefei 230031, Peoples R China;

    Univ Sci & Technol China, Chinese Acad Sci, Key Lab Geospace Environm, Hefei 230026, Peoples R China;

    Chinese Acad Sci, Anhui Inst Opt, Hefei 230031, Peoples R China|Chinese Acad Sci, Anhui Inst Fine Mech, Hefei 230031, Peoples R China;

    Chinese Acad Sci, Anhui Inst Opt, Hefei 230031, Peoples R China|Chinese Acad Sci, Anhui Inst Fine Mech, Hefei 230031, Peoples R China;

    Univ Sci & Technol China, Chinese Acad Sci, Key Lab Geospace Environm, Hefei 230026, Peoples R China;

    Univ Sci & Technol China, Chinese Acad Sci, Key Lab Geospace Environm, Hefei 230026, Peoples R China;

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

    Lidar; Water vapor mixing ratio; Variation characteristic; Precipitable water vapor;

    机译:激光雷达;水蒸气混合比;变化特性;可沉淀水蒸气;

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