Development of a Physically-based GCM Cloud Parameterization

这项研究的目的是继续发展一种基于物理的云及其辐射相互作用的参数化，以供大气环流模式(GCM)使用。改进后的参数化方案将使用俄勒冈州立大学的7层大气GCM进行实施和测试。将对参数化程序的效果进行仔细和详细的评估。这种云/辐射参数化可以减少GCMS模拟的海表面温度场中的误差，并将能够定量确定由于大气二氧化碳增加而导致的气候变化数值实验中潜在的关键云光学深度反馈过程。施莱辛格博士还将邀请两名本科生(Bogar女士和Bishop女士)参与与这项拨款相关的研究任务。Bogar女士将协助分析GCM产出中的年际变化信号。毕晓普女士将对前一次间冰期(11.5万年前)的气候条件进行建模。除了获得技术研究经验外，这两名本科生都将受益于在PI的密切监督下工作，并与其他研究生和程序员合作。

The objective of this research is to continue development of a physically-based parameterization of clouds and their radiative interaction for use by general circulation models (GCM's). The refined parameterization scheme will be implemented and tested using the Oregon State University 7-layer atmospheric GCM. Careful and detailed evaluation of the efficacy of the parameterization procedure will be carried out. This cloud/ radiation parameterization may reduce errors in the sea-surface temperature fields simulated by GCMS and will enable a quantitative determination of the potentially crucial cloud optical depth feedback process in numerical experiments of climate change due to increasing atmospheric carbon dioxide. Dr. Schlesinger will also involve two undergraduate students (Ms. Bogar and Ms. Bishop) in research tasks related to this grant. Ms. Bogar will asist in analyzing the inter-annual variability signal in GCM outputs. Ms. Bishop will work on modeling of climatic conditions during the previous interglacial (115,000 years ago). Besides gaining technical research experience, both undergraduates will benefit from working under close supervision of the PI and in collaboration with other graduate students and programmers.