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东亚地区陆地植被净初级生产力与夏季气候的模拟
引用本文:智海,丹利,俞永强,徐永福,王盘兴.东亚地区陆地植被净初级生产力与夏季气候的模拟[J].气象学报,2009,67(6):1032-1044.
作者姓名:智海  丹利  俞永强  徐永福  王盘兴
作者单位:1. 南京信息工程大学气象灾害省部共建教育部重点实验室和大气科学学院,南京,210044;中国科学院大气物理研究所大气科学和地球流体力学数值模拟国家重点实验室,LASG,北京,100029
2. 中国科学院大气物理研究所中国科学院东亚区域气候环境重点实验室,北京,100029
3. 中国科学院大气物理研究所大气科学和地球流体力学数值模拟国家重点实验室,LASG,北京,100029
4. 中国科学院大气物理研究所大气边界层物理和大气化学国家重点实验室,北京,100029
5. 南京信息工程大学气象灾害省部共建教育部重点实验室和大气科学学院,南京,210044
基金项目:中国科学院知识创新重要方向项目,国家自然科学基金项目,财政部/科技部公益性行业(气象)科研专项 
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,对东亚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.

关 键 词:东哑  净初级生产力  季节变化
收稿时间:2009/6/29 0:00:00
修稿时间:2009/8/13 0:00:00

Simulation of summ er development about vegetation net primary production and climate
ZHI Hai,DAN Li,YU Yongqiang,XU Yongfu and WANG Panxing.Simulation of summ er development about vegetation net primary production and climate[J].Acta Meteorologica Sinica,2009,67(6):1032-1044.
Authors:ZHI Hai  DAN Li  YU Yongqiang  XU Yongfu and WANG Panxing
Institution:Key Laboratory of Meteorological Disaster of Ministry of Education and College of Atmospheric Sciences, Nanjing University of Information Science and Technology, Nanjing 210044, China; LASG Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China,Key Laboratory of Regional Climate-Environment Research for Temperate East Asia, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China,LASG Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China,The State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China and Key Laboratory of Meteorological Disaster of Ministry of Education and College of Atmospheric Sciences, Nanjing University of Information Science and Technology, Nanjing 210044, China
Abstract: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 are 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.
Keywords:GOALS-AVIM  East Asia  GOALS-AVIM  Net primary production  Seasonal cycle
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