Accurate weather forecasting through locality based collaborative computing

Bård Fjukstad, J. Bjørndalen, Otto J. Anshus
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引用次数: 0

Abstract

The Collaborative Symbiotic Weather Forecasting (CSWF) system lets a user compute a short time, high-resolution forecast for a small region around the user, in a few minutes, on-demand, on a PC. A collaborated forecast giving better uncertainty estimation is then created using forecasts from other users in the same general region. A collaborated forecast can be visualized on a range of devices and in a range of styles, typically as a composite of the individual forecasts. CSWF assumes locality between forecasts, regions, and PCs. Forecasts for a region are computed by and stored on PCs located within the region. To locate forecasts, CSWF simply scans specific ports on public IP addresses in the local area. Scanning is robust because it avoids maintaining state about others and fast because the number of computers is low and only a few forecasts are needed.
通过基于位置的协同计算进行准确的天气预报
协作共生天气预报(CSWF)系统可以让用户在几分钟内在个人电脑上按需计算出用户周围小区域的短时间、高分辨率预报。然后使用来自同一区域的其他用户的预测创建一个提供更好的不确定性估计的协作预测。协作预测可以在一系列设备上以一系列风格进行可视化,通常作为单个预测的组合。CSWF假定预报、地区和pc之间的局部性。一个地区的预测是由位于该地区的个人电脑计算和存储的。为了定位预报,CSWF只需扫描本地公共IP地址上的特定端口。扫描是健壮的,因为它避免了维护他人的状态,而且速度很快,因为计算机数量少,只需要很少的预测。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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