首页> 外文会议>30th International Conference on Radar Meteorology, Jul 19-24, 2001, Munich, Germany >Precipitation Processes Derived from TRMM Satellite Data, Cloud Resolving Model and Field Campaigns
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Precipitation Processes Derived from TRMM Satellite Data, Cloud Resolving Model and Field Campaigns

机译:来自TRMM卫星数据,云解析模型和野外活动的降水过程

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Rainfall is a key link in the hydrologic cycle and is a primary heat source for the atmosphere. The vertical distribution of latent-heat release, which is accompanied by rainfall, modulates the large-scale circulations of the tropics and in turn can impact midlatitude weather. This latent heat release is a consequence of phase changes between vapor, liquid, and solid water. Present large-scale weather and climate models can simulate cloud latent heat release only crudely, thus reducing their confidence in predictions on both global and regional scales. In this paper, NASA Tropical Rainfall Measuring Mission (TRMM) precipitation radar (PR) derived rainfall information and the Goddard Convective and Stratiform Heating (CSH) algorithm are used to estimate the four-dimensional structure of global monthly latent heating and rainfall profiles over the global tropics from December 1997 to October 2000. Rainfall, latent heating and radar reflectivity structures between ENSO (1997-1998 winter) and non-ENSO (1998-1999 winter) periods are examined and compared. The seasonal variation of heating over various geographic locations (i.e. Indian ocean vs west Pacific; Africa vs S. America) are also analyzed. In addition, the relationship between rainfall, latent heating (maximum heating level), radar reflectivity and SST are examined.
机译:降雨是水文循环中的关键环节,是大气的主要热源。潜热释放的垂直分布,伴随着降雨,调节了热带的大规模循环,反过来又会影响中纬度天气。这种潜热释放是蒸气,液体和固体水之间相变的结果。当前的大规模天气和气候模型只能粗略地模拟云潜热释放,因此降低了他们对全球和区域尺度的预测的信心。本文利用美国宇航局热带雨量测量任务(TRMM)降水雷达(PR)得出的降水信息和戈达德对流层状加热(CSH)算法来估算全球月度潜在地暖和降水剖面的四维结构。 1997年12月至2000年10月的全球热带地区。检查并比较了ENSO(1997-1998年冬季)和非ENSO(1998-1999年冬季)期间的降雨,潜热和雷达反射率结构。还分析了不同地理位置(即印度洋与西太平洋;非洲与南美洲)的供暖季节变化。此外,还检查了降雨,潜热(最大加热水平),雷达反射率和SST之间的关系。

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