Vaillant de Guélis Thibault, Chepfer Hélène, Guzman Rodrigo, Bonazzola Marine, Winker David M, Noel Vincent
LMD/IPSL, Sorbonne Université, UPMC Univ Paris 06, CNRS, École polytechnique, Palaiseau, France.
LaMP/OPGC, Université Clermont Auvergne, CNRS, Clermont-Ferrand, France.
Sci Rep. 2018 Nov 8;8(1):16570. doi: 10.1038/s41598-018-34943-1.
Some of the most challenging questions in atmospheric science relate to how clouds will respond as the climate warms. On centennial scales, the response of clouds could either weaken or enhance the warming due to greenhouse gas emissions. Here we use space lidar observations to quantify changes in cloud altitude, cover, and opacity over the oceans between 2008 and 2014, together with a climate model with a lidar simulator to also simulate these changes in the present-day climate and in a future, warmer climate. We find that the longwave cloud altitude feedback, found to be robustly positive in simulations since the early climate models and backed up by physical explanations, is not the dominant longwave feedback term in the observations, although it is in the model we have used. These results suggest that the enhanced longwave warming due to clouds might be overestimated in climate models. These results highlight the importance of developing a long-term active sensor satellite record to reduce uncertainties in cloud feedbacks and prediction of future climate.
大气科学中一些最具挑战性的问题与云层在气候变暖时将如何反应有关。在百年尺度上,云层的反应可能会削弱或增强因温室气体排放导致的变暖。在这里,我们利用太空激光雷达观测来量化2008年至2014年期间海洋上空云层高度、覆盖率和不透明度的变化,并使用一个带有激光雷达模拟器的气候模型来模拟当前气候以及未来更温暖气候下的这些变化。我们发现,自早期气候模型以来,在模拟中发现的长波云层高度反馈具有强烈的正反馈,并有物理解释作为支撑,但在观测中它并非主要的长波反馈项,尽管在我们使用的模型中是这样。这些结果表明,气候模型中因云层导致的长波变暖增强可能被高估了。这些结果凸显了建立长期有源传感器卫星记录以减少云层反馈和未来气候预测不确定性的重要性。