Cloudnet
Cloudnet
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云网
DOI：
10.1175/bams-88-6-883
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发表时间：
2007
影响因子：
8
通讯作者：
Wrench C
中科院分区：
文献类型：
--
作者：
Wrench C
Cloudnet项目旨在通过将模型输出与云特性垂直剖面的连续地面观测进行比较，对预报和气候模型中的云进行系统评价。在模式中，云的性质被简化，并表示为模式网格盒的分数，这是充满了云，以及云的液体和冰水含量。这些模式必须得到正确的云，如果他们要正确地代表他们的辐射特性和他们在降水的生产中的关键作用，但有很少的云属性的垂直廓线的观察，显示他们是否成功。来自云雷达，云高计，双频微波辐射计在法国，荷兰和英国的三个站点运行了几年的云配置文件已与云在七个欧洲模式进行了比较。这种持续评估的优点是，可以准实时地提供关于新版本模型运行情况的反馈，而不是对复杂实地研究进行深入分析所需的更长时间。在这里，两个场合被确定时，引入新版本的ECMWF和Météo-France模型导致云的表示立即改善，并提供了统计数据的性能的七个模型。Cloudnet分析计划目前正在扩大，以包括欧洲以外的站点以及进一步的业务预测和气候模型。
The Cloudnet project aims to provide a systematic evaluation of clouds in forecast and climate models by comparing the model output with continuous ground-based observations of the vertical profiles of cloud properties. In the models, the properties of clouds are simplified and expressed in terms of the fraction of the model grid box, which is filled with cloud, together with the liquid and ice water content of the clouds. These models must get the clouds right if they are to correctly represent both their radiative properties and their key role in the production of precipitation, but there are few observations of the vertical profiles of the cloud properties that show whether or not they are successful. Cloud profiles derived from cloud radars, ceilometers, and dual-frequency microwave radiometers operated at three sites in France, Netherlands, and the United Kingdom for several years have been compared with the clouds in seven European models. The advantage of this continuous appraisal is that the feedback on how new versions of models are performing is provided in quasi-real time, as opposed to the much longer time scale needed for in-depth analysis of complex field studies. Here, two occasions are identified when the introduction of new versions of the ECMWF and Météo-France models leads to an immediate improvement in the representation of the clouds and also provides statistics on the performance of the seven models. The Cloudnet analysis scheme is currently being expanded to include sites outside Europe and further operational forecasting and climate models.