在 Shouxian 基于基于地面的大气的射出的发光干涉仪(AERI ) 观察,安徽省,中国,作者由使用最小的 root-mean-square 差别方法检索云底高度(CBH ) 和有效的云放射率。这个方法原来为卫星遥感被开发。high-temporal-resolution 检索结果能连续地描绘天顶云的小变化。检索结果被由云雷达把他们与观察作比较评估。比较证明检索偏爱为中间、低的云是更小的,特别为不透明的云。当云的二层存在时,检索结果反映 weighting 多层的云的放射的贡献。检索精确性被 AERI 发光和发出声音的侧面,在温度侧面的无常的角色在是主导的无常影响。
Based on ground-based Atmospheric Emitted Radiance Interferometer (AERI) observations in Shouxian, Anhui province, China, the authors retrieve the cloud base height (CBH) and effective cloud emissivity by using the minimum root-mean-square difference method. This method was originally developed for satellite remote sensing. The high-temporal-resolution retrieval results can depict the trivial variations of the zenith clouds continu- ously. The retrieval results are evaluated by comparing them with observations by the cloud radar. The compari- son shows that the retrieval bias is smaller for the middle and low cloud, especially for the opaque cloud. When two layers of clouds exist, the retrieval results reflect the weighting radiative contribution of the multi-layer cloud. The retrieval accuracy is affected by uncertainties of the AERI radiances and sounding profiles, in which the role of uncertainty in the temperature profile is dominant.