Radiative Keeling curve

讲座简介：

Accurate knowledge of radiative perturbations is a prerequisite for predicting climate change, although there remain substantial uncertainties in the quantification and attribution of the radiation changes. Spectrally resolved atmospheric radiation sheds light to the drivers of climate change, as the different drivers are characterized by their different spectral fingerprints. For this reason, the spectral radiation measurements can provide a radiative Keeling curve that detects climate change and elucidates the cause of it. In this talk, I will discuss how we use the spectral measurements to ground-truth the climate trends in atmospheric greenhouse effect, which is measured by the Downwelling Longwave Radiation, and to separate the different forcing and feedback mechanisms that contribute to the total radiation change, which provides an observation benchmark for validating climate models.

主讲人简介：

黄毅是加拿大麦吉尔大学大气与海洋科学系的副教授。他在北京大学获得学士学位，普林斯顿大学获得博士学位，并在加入麦吉尔大学任教之前，曾在哈佛大学担任“气候与全球变化”博士后研究员。他的研究重点是气候物理和大气辐射。他的研究小组研究辐射传输理论，例如解释了温室效应的对数依赖性和空间分布模式，并开发应用于卫星和地面仪器的遥感技术。他是加拿大卫星项目：高空气溶胶、水汽和云（HAWC）的共同主持人之一。