Winker David, Chepfer Helene, Noel Vincent, Cai Xia
1MS/475, NASA Langley Research Center, Hampton, VA 23681 USA.
LMD/IPSL, CNRS, UPMC, University of Paris 06, 75252 Paris, France.
Surv Geophys. 2017;38(6):1483-1508. doi: 10.1007/s10712-017-9452-0. Epub 2017 Nov 30.
Cloud profiling from active lidar and radar in the A-train satellite constellation has significantly advanced our understanding of clouds and their role in the climate system. Nevertheless, the response of clouds to a warming climate remains one of the largest uncertainties in predicting climate change and for the development of adaptions to change. Both observation of long-term changes and observational constraints on the processes responsible for those changes are necessary. We review recent progress in our understanding of the cloud feedback problem. Capabilities and advantages of active sensors for observing clouds are discussed, along with the importance of active sensors for deriving constraints on cloud feedbacks as an essential component of a global climate observing system.
利用A列车卫星星座中的有源激光雷达和雷达进行云廓线探测,极大地推进了我们对云及其在气候系统中作用的理解。然而,云对气候变暖的响应仍然是预测气候变化以及制定应对变化的适应措施方面最大的不确定性因素之一。对长期变化的观测以及对导致这些变化的过程的观测约束都是必要的。我们回顾了在理解云反馈问题方面的最新进展。讨论了有源传感器在观测云方面的能力和优势,以及有源传感器对于获取云反馈约束作为全球气候观测系统重要组成部分的重要性。