耦合海-气环流模式中双热带辐合带现象及其热收支分析

文中研究了耦合海-气环流模式中的双热带辐合带(Double ITCZ)现象,并对这一现象的成因从海洋热量收支的角度进行了初步分析。Double ITCZ现象是在热带太平洋赤道南北两侧各出现一条ITCZ的现象,这是耦合海-气环流模式中的较为普遍的一种异常现象,与实际气候中出现的Double ITCZ现象并非指同一问题。文中对比观测和模式结果,指出了Double ITCZ现象的主要特征,针对它的出现过程进行细致分析,再利用模式输出的热量收支各项进行统计,得到了从海洋热收支分析得到的海表温度变化原因。与观测到的正常模态相比,Double ITCZ是一个异常的模态,它的特征突出地表现为西太平洋暖池区的降温和东南太平洋10°S附近的升温。海洋热量收支分析表明,暖池区的降温主要是受到扩散的作用,而表层平流的异常增暖在决定异常辐合带区升温过程中占第一位的作用。     

北太平洋副热带环流变异及其对我国近海动力环境的影响

我国东部陆架海和南海是国防安全的重要门户;位处第二岛链以西的副热带北太平洋既是各国争夺的重要海区,又是我国从近海走向大洋的重要通道.围绕"北太平洋副热带环流变异如何通过黑潮与我国近海动力环境之间相互作用"这一国际前沿科学问题,国家重点基础研究发展计划项目"北太平洋副热带环流变异及其对我国近海动力环境的影响"于2007年9月正式立项.该项目不仅有助于拓展和丰富海洋动力学理论,揭示我国近海及邻近大洋动力环境变异机制,提高预测能力,而且也将为维护我国国防安全和海洋权益,为可持续开发利用海洋资源提供海洋动力环境保障.该项目主要研究内容包括:①北太平洋副热带环流变异和调整机理;②黑潮与我国近海的能量与水体交换过程及机制;③北太平洋副热带环流变异与大气驱动力的耦合效应;④我国近海及邻近大洋动力环境变异的可预测性研究.拟解决的关键科学问题为:北太平洋副热带内区环流变异的机理及其对黑潮的影响;黑潮源头变异机理及其对吕宋海峡水交换的影响和黑潮变异机理及其对东部陆架海域动力环境的影响.     

大气季节内振荡的数值模拟 II. 全球变暖的影响

利用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）发展的耦合气候模式FGOALS1.0_g控制试验、二氧化碳（CO2）浓度加倍试验模拟结果及实测结果（NCEP/NCAR逐日再分析资料）研究了全球变暖对大气季节内振荡（ISO）特征变化的影响。通过对比分析控制试验、二氧化碳浓度加倍试验模拟结果及观测结果发现:（1）FGOALS1.0_g耦合气候模式具有一定的模拟季节内振荡的能力，主要表现为模式能够模拟出ISO活跃区的位置、中心位置的季节变动以及强度的季节变化，其缺陷是模拟的ISO强度偏弱，模拟的ISO周期不显著且偏高频；（2）实测资料诊断分析得到的近六十年来偏暖阶段ISO活跃区强度增强及范围扩大可能不是人类活动影响使温室气体增加所导致的，它可能是大气ISO本身的年代际尺度变化；（3）近六十年来纬向东传波（西传波）的能量的存在增长（减少）趋势的主要原因可能是人类活动影响引起温室气体增加所导致的；（4）由于FGOALS1.0_g耦合气候模式在模拟ISO主周期及强度方面时存在不足，因此实测结果诊断分析得到的偏暖阶段ISO小波能量强，主周期范围大，偏冷阶段反之的结论用FGOALS1.0_g耦合气候模式尚难以证实。     

Oceanic climatology in the coupled model FGOALS-g2: Improvements and biases

The present study examines simulated oceanic climatology in the Flexible Global Ocean-Atmosphere-Land System model, Grid-point Version 2 (FGOALS-g2) forced by historical external forcing data. The oceanic temperatures and circulations in FGOALS-g2 were found to be comparable to those observed, and substantially improved compared to those simulated by the previous version, FGOALS-g1.0. Compared with simulations by FGOALS-g1.0, the shallow mixed layer depths were better captured in the eastern Atlantic and Pacific Ocean in FGOALS-g2. In the high latitudes of the Northern Hemisphere, the cold biases of SST were about 1°C–5°C smaller in FGOALS-g2. The associated sea ice distributions and their seasonal cycles were more realistic in FGOALS-g2. The pattern of Atlantic Meridional Overturning Circulation (AMOC) was better simulated in FGOALS-g2, although its magnitude was larger than that found in observed data. The simulated Antarctic Circumpolar Current (ACC) transport was about 140 Sv through the Drake Passage, which is close to that observed. Moreover, Antarctic Intermediate Water (AAIW) was better captured in FGOALS-g2. However, large SST cold biases (>3°C) were still found to exist around major western boundary currents and in the Barents Sea, which can be explained by excessively strong oceanic cold advection and unresolved processes owing to the coarse resolution. In the Indo-Pacific warm pool, the cold biases were partly related to the excessive loss of heat from the ocean. Along the eastern coast in the Atlantic and Pacific Oceans, the warm biases were due to overestimation of shortwave radiation. In the Indian Ocean and Southern Ocean, the surface fresh biases were mainly due to the biases of precipitation. In the tropical Pacific Ocean, the surface fresh biases (>2 psu) were mainly caused by excessive precipitation and oceanic advection. In the Indo-Pacific Ocean, fresh biases were also found to dominate in the upper 1000 m, except in the northeastern Indian Ocean. There were warm and salty biases (3°C–4°C and 1–2 psu) from the surface to the bottom in the Labrador Sea, which might be due to large amounts of heat transport and excessive evaporation, respectively. For vertical structures, the maximal biases of temperature and salinity were found to be located at depths of >600 m in the Arctic Ocean, and their values exceeded 4°C and 2 psu, respectively.     

Bimodality of the South Asia High simulated by coupled models

The observed South Asia High (SAH) center is characterized by two distinctive equilibrium modes during boreal midsummer, namely the center of SAH is located between 82.5^o--92.5^oE for the Tibetan Plateau mode and between 55^o--65^oE for the Iranian Plateau mode, respectively. The present study describes the ability of 15 coupled general circulation models (CGCM) used in the Intergovernmental Panel on Climate Changes (IPCC) 4th Assessment Report to reproduce the observed bimodality of the SAH. These models reveal a wide range of skill in simulating this bimodality. Nearly half of the models reproduced the bimodality, while the other half of the models did not simulate well these two modes whereas usually preferring one mode. The models that reproduced the bimodality of the SAH present similar horizontal and vertical circulations as those features from the NCEP reanalysis data. The results from these models identify the warm characteristics of the SAH and indicate that these two modes have different dynamic and thermodynamic properties. Different characteristics of the simulated sensible heat and latent heat related to precipitation partly contribute to the difference in the simulations of the SAH bimodality. The majority of these models that prefer to simulate the Tibetan Plateau mode produce a small sensible heat flux difference between the Iranian Plateau and the Tibetan Plateau, and also generally simulate a very strong false precipitation center over the east of the Tibetan Plateau, which indicates strong latent release and thereby contributes to the preference of the SAH center on the Tibetan Plateau. Whereas, the models that reproduce the bimodality of the SAH tend to simulate large precipitation over the southern Himalayas and no obviously false precipitation is produced over the east of the Tibetan Plateau. In addition, the models resolution may also have important impacts on the simulations of precipitation.     

IPCC AR6解读：全球和区域海平面变化的监测和预估

IPCC第六次评估报告第一工作组报告第九章综合评估了与海平面相关的最新监测和数值模拟结果,指出目前（2006—2018年）的海平面上升速率处于加速状态（3.7 mm/a),并会在未来持续上升,且呈现不可逆的趋势。其中低排放情景（SSP1-1.9）和高排放情景（SSP5-8.5）下,到2050年,预估全球平均海平面（GMSL）分别上升0.15~0.23 m和0.20~0.30 m;到2100年,预估GMSL分别上升0.28~0.55 m和0.63~1.02 m。南极冰盖不稳定性是影响未来海平面上升预估的最大不确定性来源之一。区域海平面变化是影响沿海极端静水位的重要因素。     

季节内振荡的数值模拟 I. 模拟的自然变率

利用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)发展的耦合气候系统模式FGOALS 1.0_g控制试验(二氧化碳浓度保持工业革命前的浓度不变,代表无人类活动影响的自然变率)模拟结果,研究了模拟的自然变率下热带季节内振荡(Intraseasonal Oscillation,简称ISO)的基本特征与年际、年代际变化。研究发现,模拟的自然变率下全球ISO主要活跃区与近六十年的实测结果基本接近;ISO主要活跃区的季节变动特征与实际结果基本一致;全球ISO强度冬强、夏弱的季节变化也与实际结果一致;但模拟的ISO强度偏弱与ISO周期不明显。进一步利用控制试验模拟结果研究了模拟的自然变率下热带ISO特征的年际与年代际变化,得出:第一,模拟的自然变率下的热带ISO强度存在明显的年际与年代际变化,低强度指数阶段,全球ISO强度减弱,活跃区范围缩小,高强度指数阶段则相反;并存在季节性差异,冬季不明显,春秋季明显,实测结果有类似结论,但高、低指数似乎与增暖有关。第二,模拟的自然变率下的热带东传或西传ISO能量比值总体来看基本上维持一种平衡状态,不存在上升或下降趋势;与实际状况下的东传相对能量增强、西传相对能量减弱趋势明显不同。     

中国地球气候系统模式的发展及其模拟和预估

地球气候系统模式是开展多学科、多圈层集成研究的重要平台,其发展是国际地学领域特别是全球变化领域竞争的前沿。中国的地球气候系统模式研发工作始于20世纪80年代,最近10年得到快速发展。研发格局上已经形成中国科学院、有关部委和高校三足鼎立的局面。文中在简要回顾中国地球气候系统模式早期发展历史的基础上,总结了中国参加第6次耦合模式比较计划的9个地球气候系统模式的技术特点,初步评估了中国4个模式对全球和东亚气候模拟的基本性能,分析了其在4种共享社会经济路径情景下对全球降水与温度的预估变化及其与平衡态气候敏感度的联系。最后,结合国际态势,从发展的角度提出未来中国气候模式研发工作需要加强的8个方向。     

一个大洋环流模式和相应的海气耦合模式的评估 I.热带太平洋年平均状态

评估了中国科学院大气物理研究所大气科学和地球流体动力学数值模拟国家重点实验室海洋环流模式L30T63和海气耦合模式FGCM 0模拟的热带太平洋年平均状态 ,资料取自L30T63由观测的大气强迫驱动的Control试验、由NCARCCM3大气强迫驱动的Spinup试验、以及相应的海气耦合模式FGCM 0。主要的结论是 :( 1 )在“准确”的海表强迫下 ,Control模拟的海面温度和温跃层与观测结果相当接近 ,模式的固有误差是赤道冷舌过分西伸和东南太平洋温跃层偏浅。 ( 2 )Spinup能模拟出合理的热带太平洋上层海洋环流 ,但存在两个问题 ,即 :暖池区海面温度显著偏高、沿赤道的梯度过大 ;赤道温跃层偏浅、东西向坡度偏小 ,它们分别与CCM3提供的海表短波辐射通量和风应力的系统误差有关。这两个问题很可能是海气耦合模式FGCM 0运行初期误差迅速发展的重要原因。 ( 3)FGCM 0模拟的赤道暖池区上层 1 0 0m的平均温度比观测低 3℃。分析表明FGCM 0夸大了暖池区海洋动力过程的降温作用 ,使得模拟的“暖池”在一定程度上具有冷舌的属性。FGCM 0模拟的热带南太平洋温跃层比观测结果偏浅数十米到 1 0 0m ,以致赤道两侧的上层海洋温度分布趋于对称 ,成为“doubleITCZ”现象在上层海洋中的表现。风应力旋度的系统误差和垂直混合随深度衰减过快     

FGOALS_gg1.1极地气候模拟

对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发展的气候系统模式FGOALS_g1.1的极地气候模拟现状进行了较为全面的评估.结果表明,FGOALS_g1.1对南北极海冰的主要分布特征、季节变化和年代际变化趋势具有一定的模拟能力.但也注意到,与观测相比,模式存在以下几方面的问题:(1)模拟的海冰总面积北极偏多,而南极偏少.北极,北大西洋海冰全年明显偏多;夏季,西伯利亚沿海海冰偏多,而波弗特海海冰偏少.南极,威德尔海和罗斯海冬季海冰偏少.南北极海冰边缘都存在异常的较大范围密集度很小的碎冰区,夏季尤为显著.(2)海冰流速在南北极海冰边缘和南极大陆沿岸附近较大.北极,模式没能模拟出波弗特涡流,并且由于模式网格中北极点的处理问题,造成其附近错误的海冰流场及厚度分布.这些海冰偏差与模式模拟的大气和海洋状况有着密切的联系.进一步分析表明,FGOALS_g1.1模拟的冰岛低压和南极绕极西风带明显偏弱,其通过大气环流和海表面风应力影响向极地的热量输送,在很大程度上导致上述的海冰偏差.此外,耦合模式中大气-海冰-海洋的相互作用可以放大子模式中的偏差.