全球海洋角动量变化及其大地测量的约束

海洋角动量变化与洋流、海水质量分布变化密切相关。基于美国马里兰大学SODA海洋同化资料 ,研究了 1985～ 2 0 0 1年期间全球赤道海洋角动量的变化。从数月到年际时间尺度 ,固体地球、大气、陆地水和海洋总角动量守恒。从固体地球角动量变化中扣除大气和陆地水角动量变化的影响 ,可以为海洋角动量的变化提供约束 ,用于检验所得全球海洋角动量变化的准确性。季节尺度上的分析比对显示 ,在赤道的格林尼治方向上 ,海洋角动量变化大于大气角动量变化 ,并与约束序列的变化具有高度一致性 ;在赤道东经 90°方向上 ,海洋角动量变化比大气角动量变化小一个数量级 ,并与 1985～ 1992年的约束变化呈现出一定的相似性     

北半球高纬海冰主要气候特征的全球海冰气耦合模式数值模拟

利用一个全球海冰气耦合模式对北半球高纬海冰的主要气候特征进行了数值模拟。结果表明 ,模拟结果中海冰的季节变化特征合理 ,冬季海冰的主要地理分布特征都模拟得很好 ,但夏季北冰洋内部靠近欧亚大陆部分边缘海区海冰密集度模拟得偏大。模拟结果中 ,北半球高纬地区冬季海冰密集度具有显著的年际变化 ,变化最显著区域位于格陵兰海 ,其次是巴伦支海 ,这些特征均与观测结果一致。对这个海冰气耦合模式在北半球海冰平均气候状况、季节变化和年际变化方面模拟能力的检验结果表明 ,当前的研究工作为下一步进行长期变化趋势的模拟打下了基础。     

一个海-冰-气耦合模式中格陵兰海海冰年际变异及其成因的个例分

利用一个全球海-冰-气耦合模式模拟结果, 选取冬季年际变率最大的海冰区--格陵兰海海冰区中的一个4年海冰剧烈变化过程展开分析, 试图探讨此个例过程中海冰剧烈变化的原因.结果表明, 在此个例中, 该区域海冰年际变异主要是由大气环流异常驱动的, 海表面温度和海冰密集度变化主要是对大气环流变化的响应.海表面温度变化决定着海冰范围及海冰密集度的变化, 但海冰变化时通过相变潜热的释放或吸收反过来对海表面温度变化有一定影响.     

一个统计低云方案及其在大气环流模式中应用初探

文中利用湍流耗散特征时间尺度和湍流垂直扩散系数对湍流二阶距进行参数化 ,将一个统计云方案与一阶湍流闭合方案进行耦合。基于数值试验 ,在不同的相对湿度、温度垂直梯度、以及湍流耗散特征时间尺度条件下 ,对该方案云量模拟能力的分析 ,发现该统计云方案对其采用的参数及湍流耗散特征时间尺度敏感。基于该数值模拟分析 ,修改了该统计云方案 ,并结合其他边界层积云参数化方案 ,给出了一个基于统计的低云参数化方案。将其初步应用于NCARCCM 3后发现 :该方案可以显著增强CCM 3对副热带低云的模拟能力 ,可以合理地模拟出大洋东部大陆西岸冷海域低云量大值中心 ,显示出该方案对于改进大气环流模式低云参数化具有潜在的应用前景。     

The Role of the Kuroshio in the Winter North Pacific Ocean-Atmosphere Interaction： Comparison of a Coupled Model and Observations

A comparative study between the output of the Flexible Global Climate Model Version 1.0 (FGCM- 1.0) and the observations is performed. At 500 hPa, the geopotential height of FGCM is similar to the observations, but in the North Pacific the model gives lower values, and the differences are most significant over the northern boundary of the Pacific. In a net heat flux comparison, the spatial patterns of the two are similar in winter, but more heat loss appears to the east of Japan in FGCM than in COADS. On the interannual timescale, strong (weak) Kuroshio transports to the east of Taiwan lead the increasing (decreasing) net heat flux, which is centered over the Kuroshio Extension region, by 1–2 months, with low (high) pressure anomaly responses appearing at 500 hPa over the North Pacific (north of 25N) in winter. The northward heat transport of the Kuroshio is one of the important heat sources to support the warming of the atmosphere by the ocean and the formation of the low pressure anomaly at 500 hPa over the North Pacific in winter.     

FGOALS-g模式及其参与CMIP6的方案

为参加第六次国际耦合模式比较计划（CMIP6）和进一步提高模式的模拟能力,大气科学和地球流体力学数值模拟国家重点实验室（LASG）模式团队发展了新一代的格点大气版本的FGOALS-g耦合模式。新版本模式在大气分辨率、海洋网格,以及各分量模式的物理过程等方面都有一定的改进,并正在参与CMIP6最核心的试验以及多个CMIP6模式比较子计划试验。给定CMIP6外强迫,模式在工业革命前参照试验（piControl）和大气模式比较计划（AMIP）试验中模拟的初步结果都比较合理。     

气候增暖对热带大气季节内振荡能量传播的影响研究

针对近百年来气候增暖这一观测事实,探讨了气候增暖背景下热带大气季节内振荡(ISO)能量传播的长期变化问题。利用56年的NCAR/NCEP再分析资料、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拟国家重点实验室发展的耦合气候模式FGOALS1.0_g的60年数值模拟结果,采用时空谱方法对比分析了实测资料、模式的控制试验和CO21%等比增加的模拟结果。实测资料分析得出:气候增暖将导致热带大气ISO东传波能量相对增强,西传波能量相对减弱。数值模拟结果分析证实是CO2持续增加导致了气候增暖,同时它也是热带大气ISO东传波能量增强西传波能量减弱的主要原因。     

Simulating Crop Net Primary Production in China from 2000 to 2050 by Linking the Crop-C model with a FGOALS's Model Climate Change Scenario

Net primary production(NPP)of crop represents the capacity of sequestrating atmospheric CO_2 in agro-ecosystem,and it plays an important role in terrestrial carbon cycling.By linking the Crop-C model with climate change scenario projected by a coupled GCM FGOALS via geographical information system (GIS)techniques,crop NPP in China was simulated from 2000 to 2050.The national averaged surface air temperature from FGOALS is projected to increase by 1.0℃over this period and the corresponding atmospheric CO_2 concentration is 535 ppm by 2050 under the IPCC AIB scenario.With a spatial resolution of 10×10 km~2,model simulation indicated that an annual average increase of 0.6 Tg C yr~(-1)(Tg=10~(12)g) would be possible under the AIB scenario.The NPP in the late 2040s would increase by 5%(30 Tg C) within the 98×10~6 hm~2 cropland area in contrast with that in the early 2000s.A further investigation suggested that changes in the NPP would not be evenly distributed in China.A higher increase would occur in a majority of regions located in eastern and northwestern China,while a slight reduction would appear in Hebei and Tianjin in northern China.The spatial characteristics of the crop NPP change are attributed primarily to the uneven distribution of temperature change.     

Preliminary evaluations of FGOALS-g2 for decadal predictions

The Flexible Global Ocean-Atmosphere-Land System model, Grid-point Version 2 (FGOALS-g2) for decadal predictions, is evaluated preliminarily, based on sets of ensemble 10-year hindcasts that it has produced. The results show that the hindcasts were more accurate in decadal variability of SST and surface air temperature (SAT), particularly in that of Nin o3.4 SST and China regional SAT, than the second sample of the historical runs for 20th-century climate (the control) by the same model. Both the control and the hindcasts represented the global warming well using the same external forcings, but the control overestimated the warming. The hindcasts produced the warming closer to the observations. Performance of FGOALS-g2 in hindcasts benefits from more realistic initial conditions provided by the initialization run and a smaller model bias resulting from the use of a dynamic bias correction scheme newly developed in this study. The initialization consists of a 61-year nudging-based assimilation cycle, which follows on the control run on 01 January 1945 with the incorporation of observation data of upper-ocean temperature and salinity at each integration step in the ocean component model, the LASG IAP Climate System Ocean Model, Version 2 (LICOM2). The dynamic bias correction is implemented at each step of LICOM2 during the hindcasts to reduce the systematic biases existing in upper-ocean temperature and salinity by incorporating multi-year monthly mean increments produced in the assimilation cycle. The effectiveness of the assimilation cycle and the role of the correction scheme were assessed prior to the hindcasts.     

印度洋海温异常对南亚区域净初级生产力影响的数值模拟

利用中国科学院大气物理研究所发展的全球海洋-大气-动态植被耦合气候模式 (GOALS-AVIM) 的模拟结果, 分析了印度洋海表温度 (SST) 变化及其与南亚陆面净初级生产力 (NPP) 的关系。模式连续运行50年, 取后40年结果分析。对模拟的印度洋海表温度距平 (SSTA) 的经验正交分解 (EOF) 进行分析, 发现第一特征向量在全区域表现为一致变化的趋势, 表明在春夏秋冬四季中印度洋海温都有一致增暖或降温的趋势, 同时赤道印度洋海温一致变化与赤道太平洋Niño3指数有滞后的正相关, 太平洋的Niño3指数变化超前印度洋海温一致变化8个月左右。第二特征向量则表现为热带印度洋SST存在着东西方向振荡的偶极子型振荡特征, 而且偶极子强度有明显季节变化, 并有很明显的季节相位锁定。印度洋SSTA的一致变化的异常趋势与南亚地区的季节和年平均NPP变化表现出很强的同期和滞后相关性; 与南亚地区年平均NPP相关性较高的印度洋夏季SST的EOF第一模态正负相位对应着不同的850 hPa流场、 500 hPa高度场以及南亚地区降水场的异常。分析表明, 印度洋及南亚地区的夏季风加强或减弱导致受南亚地区降水异常, 并使该地区NPP产生异常的增加或减少。