Oreopoulos Lazaros, Cho Nayeong, Lee Dongmin, Kato Seiji
NASA-GSFC, Earth Science Division, Greenbelt MD 20771 USA.
USRA, Columbia, MD 21044 USA.
J Geophys Res Atmos. 2016 Mar 16;121(5):2299-2317. doi: 10.1002/2015JD024502. Epub 2016 Feb 11.
We update previously published MODIS global cloud regimes (CRs) using the latest MODIS cloud retrievals in the Collection 6 dataset. We implement a slightly different derivation method, investigate the composition of the regimes, and then proceed to examine several aspects of CR radiative appearance with the aid of various radiative flux datasets. Our results clearly show the CRs are radiatively distinct in terms of shortwave, longwave and their combined (total) cloud radiative effect. We show that we can clearly distinguish regimes based on whether they radiatively cool or warm the atmosphere, and thanks to radiative heating profiles to discern the vertical distribution of cooling and warming. Terra and Aqua comparisons provide information about the degree to which morning and afternoon occurrences of regimes affect the symmetry of CR radiative contribution. We examine how the radiative discrepancies among multiple irradiance datasets suffering from imperfect spatiotemporal matching depend on CR, and whether they are therefore related to the complexity of cloud structure, its interpretation by different observational systems, and its subsequent representation in radiative transfer calculations.
我们使用集合6数据集中最新的MODIS云反演结果更新了之前发布的MODIS全球云态(CRs)。我们采用了略有不同的推导方法,研究了云态的组成,然后借助各种辐射通量数据集,对CR辐射特征的几个方面进行了研究。我们的结果清楚地表明,CRs在短波、长波及其组合(总)云辐射效应方面具有明显的辐射差异。我们表明,我们可以根据它们对大气是产生辐射冷却还是加热来清楚地区分云态,并且借助辐射加热剖面来辨别冷却和加热的垂直分布。Terra和Aqua的对比提供了有关云态在上午和下午出现的情况对CR辐射贡献对称性影响程度的信息。我们研究了多个辐照度数据集之间由于时空匹配不完善而产生的辐射差异如何取决于CR,以及它们是否因此与云结构的复杂性、不同观测系统对其的解释以及随后在辐射传输计算中的表示有关。