Season-to-Interdecadal Climate Variability

摘要ATM-9416954陈庆昌爱荷华州州立大学题目：季节-年代际气候变率 从我们以前的研究项目中出现了几个有趣的问题，有关气候变率的大气环流与季节到十年的时间尺度。 为了寻求这些问题的答案，PI提出了以下研究方向： a）立体结构和维护机制 夏季静止涡旋及其年际变化 变化分量;以及 B）年代际变化的基本结构和时间演变 冬季大气环流变化模态 过去50年（1946-1994年），以及可能的机制 导致这种年代际变化。 诊断分析所提出的夏季定常涡年际变化和冬季环流年代际变化的机制，将用NCAR社区气候模式和相应的线性化版本进行检验。 几个数据源，包括OLR，COADS，NMC和ECMWF GDAS（1979-1994），NMC八角形网格（1946-1993）和35年重新分析NMC GDAS（1958-1993）的数据，将被用于拟议的研究推力。 在资金和时间允许的情况下，将进一步研究全球相对大气角动量的季节和年际变化，以及这些变化在低频气候变率中所起的作用。 这项研究是重要的，因为它试图提高对季节到年代际时间尺度上的气候过程的认识。

Abstract ATM-9416954 Chen, Tsing-Chang Iowa State University Title: Season-to-Interdecadal Climate Variability Several interesting problems concerning the climate variability of the atmospheric circulation with seasonal to decadal time scales emerged from our prior research project. In order to seek answers to these problems, the PI proposes the following research thrusts: a) the three-dimensional structure and maintenance mechanism of summertime stationary eddies and their interannual variation component; and b) the basic structure and time evolution of the interdecadal variation mode of the wintertime atmospheric circulation over the past five decades (1946-1994), and the possible mechanism inducing this interdecadal variation. The mechanisms responsible for the interannual variation of summertime stationary eddies and interdecadal variation of wintertime circulation, as suggested from diagnostic analyses, will be tested with the NCAR Community Climate Model, and the corresponding linearized version. Several data sources, including the OLR, COADS, NMC and ECMWF GDAS (1979-1994), NMC octagonal-grid (1946-1993) and 35-year reanalyzed NMC GDAS (1958-1993) data, will be used in the proposed research thrusts. Funds and time allowing, some further work will be done on seasonal and interannual variations of global relative atmospheric angular momentum, and the roles played by these variations in low-frequency climate variability. This research is important because it seeks to enhance knowledge about climate processes on seasonal-to-interdecadal time scales.