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随着更高精度的气象网格数据在气象业务中的广泛应用,使用高精度网格数据为社会公众提供精细化气象服务的需求越来越旺盛。针对气象网格数据文件大,网页前端动态渲染效率低等问题,提出基于瓦片金字塔模型的网格数据快速传输和渲染技术的研究及应用。采用服务器端的金字塔模型的瓦片动态切割、压缩传输以及浏览器终端的插值和渲染等技术,实现基于B/S框架下HTML5的气象网格数据快速展示的流程。同时,利用中国区域1 km分辨率多源融合实况分析产品,基于微信小程序终端进行检验发布,试验结果表明,百兆级气象网格数据可视化更新时间达毫秒量级,可以广泛应用于各类空间网格数据高效可视化的页面渲染。 相似文献
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Typhoon Hato (2017) went through a rapid intensification (RI) process before making landfall in Zhuhai, Guangdong Province, as the observational data shows. Within 24 hours, its minimum sea level pressure deepened by 35hPa and its maximum sustained wind speed increased by 20m s-1. According to satellite observations, Hato encountered a large area of warm water and two warm core rings before the RI process, and the average sea surface temperature cooling (SSTC) induced by Hato was only around 0.73℃. Air-sea coupled simulations were implemented to investigate the specific impact of the warm water on its RI process. The results showed that the warm water played an important role by facilitating the RI process by around 20%. Sea surface temperature budget analysis showed that the SSTC induced by mixing mechanism was not obvious due to the warm water. Besides, the cold advection hardly caused any SSTC, either. Therefore, the SSTC induced by Hato was much weaker compared with that in general cases. The negative feedback between ocean and Hato was restrained and abundant heat and moisture were sufficiently supplied to Hato. The warm water helped heat flux increase by around 20%, too. Therefore, the warm water influenced the structure and the intensity of Hato. Although there might be other factors that also participated in the RI process, this study focused on air-sea interaction in tropical cyclone forecast and discussed the impact of warm water on the intensity and structure of a tropical cyclone. 相似文献
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