Forecasting precipitable water vapor and cirrus cloud cover for astronomical observatories: satellite image processing guided by synoptic model dissemination data
Forecasting precipitable water vapor and cirrus cloud cover for astronomical observatories: satellite image processing guided by synoptic model dissemination data
复制标题
天文台预测可降水汽和卷云覆盖：天气模型传播数据指导的卫星图像处理
DOI：
10.1117/12.413848
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发表时间：
2001
期刊：
影响因子：
--
通讯作者：
M. Sarazin
中科院分区：
文献类型：
--
作者：
D. A. Erasmus;M. Sarazin
天文台对天空透明度的依赖程度非常高。随着昂贵的新超大型望远镜投入使用，灵活的观测模式被引入，允许在最合适的时间安排每个“观测区块”。在这种模式下，开发用于预测环境条件的工具是有意义的。这里我们介绍了为智利北部的ESO观测站开发的业务水汽和卷云预报模式。
Astronomical observatories are extremely dependent on sky transparency. As the expensive new very large telescopes enter into operation, flexible observing modes are being introduced, which allow each 'observing block' to be scheduled at the most appropriate time. In such modes, it makes sense to develop tools for forecasting ambient conditions. We present here the operational water vapor and cirrus cloud forecast model developed for ESO observatories in Northern Chile.