首页> 外文学位 >Near tropopause water vapor content and exchange processes.
【24h】

Near tropopause water vapor content and exchange processes.

机译:接近对流层顶水汽含量和交换过程。

获取原文
获取原文并翻译 | 示例

摘要

Water vapor mixing ratios in the upper troposphere and lower stratosphere measured by the Aura Microwave Limb Sounder version 2.2 (Aura-MLS) instrument have been compared with Global Forecast System (GFS) analyses at five levels within the 300--100 hPa layer and North American Mesoscale (NAM) model analyses at six levels within the 300--50 hPa layer over the two years of 2005 and 2006 at four analysis times. Probability density functions of the vapor mixing ratios suggest that both analyses are often moister than Aura-MLS values, but NAM model analyses agree somewhat better with Aura-MLS measurements than GFS model analyses over the same North American domain at the five common levels. Examining five subsets of the global GFS domain, the GFS model analysis is moister than Aura-MLS estimates everywhere except at 150 and 100 hPa in all regions outside of the tropics. NAM model analysis water vapor mixing ratios exceeded the Aura-MLS values at all levels from 250 to 150 hPa in all four seasons of both years and some seasons at 100 and 50 hPa. Moist biases in winter and spring of both years were similar at all levels, but these moist biases in summer and fall were smaller in 2005 than in 2006 at all levels. These differences may be due to the change in the NAM from using the Eta to using the Weather Research and Forecasting (WRF) model in June 2006.;NAM analysis data and the Weather Research and Forecasting (WRF) Advanced Research WRF (ARW) model version 2.2 are used to investigate the mechanisms involved in the transport of water vapor in the upper troposphere and lower stratosphere (UTLS) affected by deep convective system activity. In an examination of two convective system events occurring over the United States, it is found that hourly water vapor changes in the UTLS were mostly affected by advection and microphysical processes, with mixing playing less of a role during the period of convective system activity. Hourly moistening rates averaged over the vicinity of deep convection (VODC) in the UTLS increased during the time that convective system activity developed, and reached maximum values at the same time that the strongest convection and heaviest precipitation occurred at the surface. In the upper troposphere levels, the hourly positive water vapor tendencies were mainly due to both vertical and horizontal advection, though, the rate of water vapor tendencies due to vertical advection was greater. Water vapor tendencies due to microphysical processes were noticeable in this layer, where they tended to oppose the moistening due to advection. Near the tropopause and lower stratosphere levels, water vapor tendencies due to horizontal advection alone resulted in an increase in water vapor somewhat before/after the demise of the convective system, instead of at the time of intense convective system activity.
机译:通过Aura微波Limb Sounder 2.2版(Aura-MLS)仪器测量的对流层上层和平流层下层水汽混合比与全球预报系统(GFS)在300--100 hPa层和北半球的五个水平进行了比较在2005年和2006年的两年中,美国中尺度(NAM)模型在300--50 hPa层中的六个级别进行了四个分析时间的分析。蒸汽混合比的概率密度函数表明,这两个分析通常都比Aura-MLS值更潮湿,但是在五个共同水平上,同一北美地区的NAM模型分析与Aura-MLS测量相比要好于GFS模型分析。检查了全球GFS域的五个子集,GFS模型分析比任何地方的Aura-MLS估计都要潮湿,除了热带以外所有地区的150和100 hPa。 NAM模型分析的水蒸气混合比在两年的所有四个季节以及在100和50 hPa的某些季节中在250至150 hPa的所有水平上均超过了Aura-MLS值。两年的冬季和春季的湿度偏差在所有级别上都相似,但在各个级别上,2005年夏季和秋季的湿度偏差都比2006年小。这些差异可能是由于NAM从使用Eta到2006年6月使用天气研究与预报(WRF)模型而发生的变化。; NAM分析数据和天气研究与预报(WRF)高级研究WRF(ARW)模型版本2.2用于研究受深对流系统活动影响的对流层和低平流层(UTLS)中水汽传输的机制。在对美国发生的两个对流系统事件的检查中,发现UTLS中每小时的水蒸气变化主要受对流和微物理过程的影响,而在对流系统活动期间,混合的作用较小。在对流系统活动发展期间,UTLS中深对流(VODC)附近的平均每小时湿润率增加,并且在地面上出现最强对流和最大降水的同时达到了最大值。在对流层高层,小时正水汽趋势主要是由于垂直和水平对流引起的,尽管垂直对流水汽趋势的发生率较高。在这一层中,由于微物理过程而引起的水蒸气趋势很明显,在该层中,由于对流作用,它们趋向于与水分相反。在对流层顶和低平流层附近,仅由于水平对流引起的水蒸气趋势在对流系统消亡之前/之后略有增加,而不是在强对流系统活动时导致水蒸气增加。

著录项

  • 作者

    Thien, Le Van.;

  • 作者单位

    Iowa State University.;

  • 授予单位 Iowa State University.;
  • 学科 Atmospheric sciences.
  • 学位 M.S.
  • 年度 2009
  • 页码 92 p.
  • 总页数 92
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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