I was at the CloudSat/CALIPSO Science Team Meeting last week in Madison, Wisconsin. There were a lot of interesting presentations. The two active sensors have provided us very rich information of the structure of clouds and aerosols. The vertical resolution and global coverage are unprecedented. Combined with other A-train satellite instruments, scientists have gained a lot of new knowledge of cloud processes (including microphysical and macrophysical processes), aerosol effects on clouds (many studies still on warm clouds), dust storms, and model performance in simulating clouds. A common theme of many studies is to combine multi-sensor data together, which is emphasized by NASA program managers and will be a theme in next year’s ROSES as well. There have been many efforts to develop merged CloudSat radar and CALIPSO lidar products, for example, mixed-phase clouds and new cirrus statistics. One of the novel uses of CALIPSO lidar measurements is to produce surface wind measurements. French scientists introduced the EarthCare mission, which will have and lidar and Doppler radar. People look forward to this new mission. Most of the attendees were data analysts and there were only a few modelers. Although many studies showed the poor performance of model simulations of clouds, we still don’t know how to fix them in models. There seems still a big gap between the modeling community and data producers. I think filling the gap is really urgently needed.