...
  • 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Pure and Applied Geophysics >Sensitivity Study of Cloud Cover and Ozone Modeling to Microphysics Parameterization
【24h】

Sensitivity Study of Cloud Cover and Ozone Modeling to Microphysics Parameterization

机译：云覆盖与臭氧模型对微物理参数化的敏感性研究

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

Cloud cover is a significant meteorological parameter influencing the amount of solar radiation reaching the ground surface, and therefore affecting the formation of photochemical pollutants, most of all tropospheric ozone (O-3). Because cloud amount and type in meteorological models are resolved by microphysics schemes, adjusting this parameterization is a major factor determining the accuracy of the results. However, verification of cloud cover simulations based on surface data is difficult and yields significant errors. Current meteorological satellite programs provide many high-resolution cloud products, which can be used to verify numerical models. In this study, the Weather Research and Forecasting model (WRF) has been applied for the area of Poland for an episode of June 17th-July 4th, 2008, when high ground-level ozone concentrations were observed. Four simulations were performed, each with a different microphysics parameterization: Purdue Lin, Eta Ferrier, WRF Single-Moment 6-class, and Morrison Double-Moment scheme. The results were then evaluated based on cloud mask satellite images derived from SEVIRI data. Meteorological variables and O-3 concentrations were also evaluated. The results show that the simulation using Morrison Double-Moment microphysics provides the most and Purdue Lin the least accurate information on cloud cover and surface meteorological variables for the selected high ozone episode. Those two configurations were used for WRF-Chem runs, which showed significantly higher O-3 concentrations and better model-measurements agreement of the latter.
机译：云盖是一种重要的气象参数，影响到达地面的太阳辐射量，因此影响光化学污染物的形成，大多数对流层臭氧（O-3）。由于MicrophySics方案解决了气象模型中的云量和类型，因此调整该参数化是确定结果准确性的主要因素。然而，基于表面数据的云覆盖模拟的验证是困难的并且产生重大错误。目前的气象卫星计划提供许多高分辨率云产品，可用于验证数值模型。在本研究中，当观察到高地面臭氧浓度的高地面臭氧浓度时，申请了波兰波兰地区的天气研究和预测模型（WRF）。进行了四种模拟，每个模拟具有不同的微专业参数化：Purdue Lin，Eta Ferrier，WRF单机6级和Morrison双力方案。然后基于来自Seviri数据的云掩模卫星图像评估结果。还评估了气象变量和O-3浓度。结果表明，使用Morrison双力微物质的模拟提供了最多和Purdue LIN关于所选高臭氧集的云覆盖和表面气象变量最低的信息。这两种配置用于WRF-Chem运行，其显示出显着更高的O-3浓度和更好的后者的模型测量协议。

著录项

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