Analysis and numerical study of a hybrid BGM-3DVAR data assimilation scheme using satellite radiance data for heavy rain forecasts

A fine heavy rain forecast plays an important role in the accurate flood forecast, the urban rainstorm waterlogging and the secondary hydrological disaster preventions. To improve the heavy rain forecast skills, a hybrid Breeding Growing Mode (BGM)-three-dimensional variational (3DVAR) Data Assimilation (DA) scheme is designed on running the Advanced Research WRF (ARW WRF) model using the Advanced Microwave Sounder Unit A (AMSU-A) satellite radiance data. Results show that: the BGM ensemble prediction method can provide an effective background field and a flow dependent background error covariance for the BGM-3DVAR scheme. The BGM-3DVAR scheme adds some effective mesoscale information with similar scales as the heavy rain clusters to the initial field in the heavy rain area, which improves the heavy rain forecast significantly, while the 3DVAR scheme adds information with relatively larger scales than the heavy rain clusters to the initial field outside of the heavy rain area, which does not help the heavy rain forecast improvement. Sensitive experiments demonstrate that the flow dependent background error covariance and the ensemble mean background field are both the key factors for adding effective mesoscale information to the heavy rain area, and they are both essential for improving the heavy rain forecasts.     

深圳龙岗专项整治假冒劣质激光视盘机

为贯彻落实中央、省、整顿与规范市场经济秩序工作会议精神,严厉打击制售假冒伪劣激光视盘机的违法犯罪行为,维护产品质量信誉,促进社会经济的持续稳定健康发展,根据深圳市政府、市质量技术监督局的统一部署,龙岗质量技术监督分局从前不久开始对辖区内激光视盘机生产企业进行了持续的执法检查和清理整治。本次行动有如下四个特点:一、领导高度重视,专门召开会议,制定了行动方案,落实了人员车辆,稽查科制作了调查表。二、印刷了五千份打假举报奖励办法,发给各个工业区的管理人员和工厂的工人,同时采取多种形式加强宣传,在报刊、电视台对整治…