中文摘要：

利用中国科学院大气物理研究所（IAP）一个海洋-大气-动态植被耦合模式（GOALS-AVIM）,进行了100年模拟积分。基于模拟结果,对东业地区的植被净初级生产力（NPP）、降水、地面气温和短波辐射的季节变化进行了标准化对比,分析了NPP的时空格局与气候因子（气温、短波辐射和降水）的关系;利用奇异值分解（SVD）对东亚夏季降水场和NPP的关系进行分解。结果表明,夏季东亚地区植被NPP及相关气候因子的时空变化规律明显,耦合模式可以很好地模拟出观测存在的降水及NPP、LAI（叶面积指数）大值区随季节北移南退的形态;由于耦合模式中AVIM的双向特点,模式模拟的NPP与其他物理场的季节变化有很强的对应关系,而且在不同时间和地区,NPP与降水、地面气温、短波辐射表现出不同的对应关系,其中植被NPP时间变化与气温和降水的相关性都较高;从NPP场和降水场夏季逐月标准化距平奇异值分解的空间分布模态来看,NPP与降水在时空场上表现出很强的耦合性,NPP的空间格局与降水存在较好的相关性,不同地理位置的相关性强弱不同,分解出的降水场异常相关模态也再现了东亚夏季降水移动的时空特征,同时东亚雨带随季节变化与NPP的气候变率表现出不同的对应模态。

英文摘要：

The results from the coupled model,GOALS-AVIM,developed by a research group of the Global Ocean Model and Coupling Model（LASG） at the Institute of Atmospheric Physics（IAP） of the Chinese Academy of Sciences.The model was used to study the climate change in East Asia.Analysis based on the mean results of the later 50 integration years（100 integration years in all） suggests that the coupled model basically reproduce main features of multi-year mean July large-scale pattern of precipitation,surface air temperature and 850 hPa wind fields in East Asia.Based on contrastive analyzed standardization of the vegetation net primary productivity（NPP）,precipitation,surface air temperature and shortwave radiant,seasonal variety of NPP is related to climate change closely because of two-way interaction of vegetation and atmosphere.The relation reveals the characteristic that those interrelated relationship arc different in respective spatio-temporal distribution.According to singular value decomposition（SVD） analysis, the relationship between ecosystem and precipitation in the East Asia is explored.It shows that the onset and retreat of East Asian monsoon characterized by the precipitation belt at East Asia corresponds to the spatiotemporal pattern of NPP,and the spatiotemporal pattern can reproduce migration route of East Asia in summer.The correlation coefficients between NPP and precipitation are different in interannual variability because of the variation in vegetation types.