首页> 外文会议>Conference on remote sensing of clouds and the atmosphere >Forecasting Precipitable Water Vapour and Cirrus Cloud Cover For Astronomical Observatories: Satellite image processing guided by synoptic model dissemination data
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Forecasting Precipitable Water Vapour and Cirrus Cloud Cover For Astronomical Observatories: Satellite image processing guided by synoptic model dissemination data

机译:预测天文观测者的可降水水蒸气和卷云云覆盖:天文模型传播数据指导的卫星图像处理

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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 shceduled at the most appropriate time. In such modes, it makes sense to develop tools for forecastign ambient conditions. We present here the operational water vapour and cirrus cloud forecast model developed for ESO observatories in Northern Chile. Because the observtories are located well above the inversion layer, nebulosity is mainly due to high altitude cirrus clouds which have to be detected as early as possible. For that purpose, a model has been developed using 3-hourly GOES-8 satellite images in the water vapour channel combined with the 00UT and 12UT analyses and forecasts fromt he European Centre for Medium-range Forecasting (ECMWF) over a 45x30 degree area including the observatories, the Andes to the East as well as a large area of the Pacific Ocean to the West. In the water vapour channel, radiation emitted by mositure in the middle troposphere is aborbed and re-emitted by high altitude cirrus clouds at low temperatures thus producing high (above 100percent) upper tropospheric humidity (UTH) values. Empirically, UTH thresholds were determiend for deciding on the presence of transparent or opaque cirrus. The observatory "sky" at analysis time is defined by a circular area of about 32 km in radius centred over the site. The motion algorithm, whcih takes into account both the translation and the development of the pressure systems as forecasted by ECMWF, defines a movement vector that is used to determine the image areas for the forecast periods. The image pixels in the forecast areas are classified in terms of water vapour and cloudiness and attributed a weight proportional to their likelihood to cross the observatory sky in teh course of a 3-hour long forecast period. We discuss the performance of the model after one year of operation, including comparisons with local sky transparency monitored from the groun din the visible part of the spectrum.
机译:天文观测者非常依赖天空透明度。由于昂贵的新型非常大的望远镜进入运行,正在引入灵活的观察模式,这允许在最合适的时间允许每个“观察块”。在这种模式中,开发预测环境条件的工具是有意义的。我们在这里介绍了智利北部ESO观察仪开发的运营水蒸汽和卷云云预测模型。因为观察台位于转换层上方高于反转层,所以雾度主要是由于高海拔云云,必须尽早检测到。为此目的,在水蒸气通道中使用3小时的GOUD-8卫星图像开发了一种模型,该模型与欧欧欧欧欧欧洲的中等程度(ECMWF)的分析和预测在45×30度(包括)观察区,andes向东以及西部的太平洋大面积。在水蒸汽通道中,中间对流层中的测定辐射被释放并在低温下通过高海拔云云发射,从而产生高(100以上)上部对流层湿度(UTH)值。经验上,UTH阈值是决定透明或不透明的卷曲的存在的决定。在分析时间的天文台“天空”由半径约32km的圆面积定义为中心。 Motion算法,WHCIH考虑了ECMWF预测的压力系统的平移和开发,定义了用于确定预测时段的图像区域的移动矢量。预测区域中的图像像素在水蒸气和浑浊方面进行分类,并归因于它们在3小时的预测期间跨越天文台天空的可能性比例进行比例。我们讨论了一年后展示了模型的性能,包括与来自Groun Din监测的本地天空透明度的比较,该频谱的可见部分。

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