Prediction of the Asian-Australian Monsoon Interannual Variations with the Grid-Point Atmospheric Model of IAP LASG （GAMIL）

Seasonal prediction of Asian-Australian monsoon （A-AM） precipitation is one of the most important and challenging tasks in climate prediction. In this paper, we evaluate the performance of Grid Atmospheric Model of IAP LASG （GAMIL） on retrospective prediction of the A-AM interannual variation （IAV）, and determine to what extent GAMIL can capture the two major observed modes of A-AM rainfall IAV for the period 1979-2003. The first mode is associated with the turnabout of warming （cooling） in the Nifio 3.4 region, whereas the second mode leads the warming/cooling by about one year, signaling precursory conditions for ENSO.
We show that the GAMIL one-month lead prediction of the seasonal precipitation anomalies is primarily able to capture major features of the two observed leading modes of the IAV, with the first mode better predicted than the second. It also depicts the relationship between the first mode and ENSO rather well. On the other hand, the GAMIL has deficiencies in capturing the relationship between the second mode and ENSO. We conclude： （1） successful reproduction of the E1 Nifio-excited monsoon-ocean interaction and E1 Nifio forcing may be critical for the seasonal prediction of the A-AM rainfall IAV with the GAMIL; （2） more efforts are needed to improve the simulation not only in the Nifio 3.4 region but also in the joining area of Asia and the Indian-Pacific Ocean; （3） the selection of a one-tier system may improve the ultimate prediction of the A-AM rainfall IAV. These results offer some references for improvement of the GAMIL and associated seasonal prediction skill.     

Quantifying the Response Strength of the Southern Stratospheric Polar Vortex to Indian Ocean Warming in Austral Summer简

A previous multiple-AGCM study suggested that Indian Ocean Warming （IOW） tends to warm and weaken the southern polar vortex.Such an impact is robust because of a qualitative consistency among the five AGCMs used.However,a significant difference exists in the modeled strengths,particularly in the stratosphere,with those in three of the AGCMs （CCM3,CAM3,and GFS） being four to five times as strong as those in the two other models （GFDL AM2,ECHAM5）.As to which case reflects reality is an important issue not only for quantifying the role of tropical ocean warming in the recent modest recovery of the ozone hole over the Antarctic,but also for projecting its future trend.This issue is addressed in the present study through comparing the models＇ climatological mean states and intrinsic variability,particularly those influencing tropospheric signals to propagate upward and reach the stratosphere.The results suggest that differences in intrinsic variability of model atmospheres provide implications for the difference.Based on a comparison with observations,it is speculated that the impact in the real world may be closer to the modest one simulated by GFDL AM2 and ECHAM5,rather than the strong one simulated by the three other models （CCM3,CAM3 and GFS）.In particular,IOW during the past 50 years may have dynamically induced a 1.0℃ warming in the polar lower stratosphere （～100 hPa）,which canceled a fraction of radiative cooling due to ozone depletion.     

An Overview of BCC Climate System Model Development and Application for Climate Change Studies

This paper reviews recent progress in the development of the Beijing Climate Center Climate System Model(BCC-CSM) and its four component models(atmosphere,land surface,ocean,and sea ice).Two recent versions are described:BCC-CSM1.1 with coarse resolution(approximately 2.8125°×2.8125°) and BCC-CSM1.1(m) with moderate resolution(approximately 1.125°×1.125°).Both versions are fully coupled climate-carbon cycle models that simulate the global terrestrial and oceanic carbon cycles and include dynamic vegetation.Both models well simulate the concentration and temporal evolution of atmospheric CO_2 during the 20th century with anthropogenic CO2 emissions prescribed.Simulations using these two versions of the BCC-CSM model have been contributed to the Coupled Model Intercomparison Project phase five(CMIP5) in support of the Intergovernmental Panel on Climate Change(IPCC) Fifth Assessment Report(AR5).These simulations are available for use by both national and international communities for investigating global climate change and for future climate projections.Simulations of the 20th century climate using BCC-CSMl.l and BCC-CSMl.l(m) are presented and validated,with particular focus on the spatial pattern and seasonal evolution of precipitation and surface air temperature on global and continental scales.Simulations of climate during the last millennium and projections of climate change during the next century are also presented and discussed.Both BCC-CSMl.l and BCC-CSMl.l(m) perform well when compared with other CMIP5 models.Preliminary analyses indicate that the higher resolution in BCC-CSM1.1(m) improves the simulation of mean climate relative to BCC-CSMl.l,particularly on regional scales.     

我国西南地区干湿季降水的主模态分析

利用我国西南地区26个台站降水资料,通过经验正交函数（EOF）分解的方法,分析了1980～2009年该地区干季（10～4月）和湿季（5～9月）降水的主模态。我国西南地区干季降水的时空变化存在两种主模态,它们分别可以解释总方差的22.4%和15.6%。第1主模态为全区一致型,具有准两年周期振荡的年际变化特征;第2主模态为东南—西北反向型,从20世纪90年代中期至21世纪初呈现2～3年的变化周期。我国西南地区湿季降水的时空变化存在三种主模态,它们分别可以解释总方差的17.1%,13.8%和11.1%。第1主模态为全区一致型,20世纪90年代初期具有较强的2～4年周期;第2主模态为经向偶极子型分布,并具有显著的4年周期;第3主模态为纬向偶极子型分布,具有2～4年的年际变化信号。进一步利用NCEP/NCAR再分析资料以及美国国家海洋和大气管理局（NOAA）的海表面温度（SST）资料,通过合成分析和回归分析的方法探讨了与干湿季降水各主模态对应的大尺度大气环流和海温状况。我国西南地区干季降水第1主模态与北极涛动（AO）有明显的正相关关系,对应的大气环流和海温状况表现为高纬北冰洋与中纬度地区上空高度场的反向异常分布,北大西洋和北太平洋海温低纬与中高纬的偶极子型异常分布;第2主模态与中高纬欧亚大陆上空高度场经向偶极子型异常分布有关,中纬度北太平洋的海温异常与该模态具有紧密的联系。我国西南地区湿季降水第1主模态与北大西洋涛动（NAO）显著负相关,对应的大气环流和海温状况表现为北大西洋上,高纬度与中纬度地区上空高度场的偶极子型异常分布,海温从低纬到中高纬的三极子型异常分布;第2主模态受欧亚大陆上空高度场经向三极子型异常分布影响,并与北太平洋海温异常的一致型分布有关;第3主模态可能与El Ni?o Modoki有关,同时受到南亚高压的影响,赤道太平洋海温的纬向三极子型异常分布对该模态具有一定的潜在预报意义。     

The Influence of Oxalate on Fe-Catalyzed S(IV) Oxidation by Oxygen in Aqueous Solution

This study demonstrates that oxalate has a strong inhibiting effect onFe-catalyzed S(IV) oxidation by oxygen in aqueous solution. While thepseudo-first order rate constant of S(IV) oxidation was determined to be1.6 × 10³ M^-1 s^-1 in experimentswithout oxalate, the oxidation of S(IV) was totally inhibited at a molarconcentration ratio of iron:oxalate = 1:5 at an oxalate concentration of 4M. Under these conditions, the Fe(II)/Fe(III) ratio remained nearlyconstant during the observed reaction time. The determined rate constants wereindependent of the initial oxidation state of iron. However, with increasingconcentrations of oxalate, a longer induction period is observed forexperiments with iron initially in the Fe(II) oxidation state.     

THE INTERBASIN TRANSPORT OF ATMOSPHERIC MOISTURE EVALUATED FROM NCEP/NCAR REANALYSIS DATA*

With the objective of providing a relatively accurate and complete diagram,the global scale interbasin transport of atmospheric moisture on the basis of the NCEP/NCAR reanalysis data for the period 1980 to 1994 is evaluated.The results show that the net zonal vapor flux for the Pacific,the Atlantic and the Indian Oceans is 0.25 Sv,-0.68 Sv and-0.29 Sv respectively.The marking differences in the zonal moisture budget among individual basins are speculated as the reason that dominates the differences in the salinity between the Pacific and the Atlantic Oceans.Though current evaluation on the net zonal moisture flux for the Atlantic basin is generally in qualitative agreement with the previous estimate,quantitative discrepancy is found to exist.According to current statistics,the tropical easterlies carry water vapor of 0.43 Sv from the Atlantic basin across Central America into the Pacific,and the northern westerliesal low water vapor of 0.25 Sv to escape from the Pacific.Quantitative analyses also reveal that the seasonal variation of net zonal vapor flux for the Pacific and the Indian Oceans is stronger than that for the Atlantic,which may be favorable for the maintenance of high salinity feature of the Atlantic Ocean.     

虚拟合作实验室-利用Internet开展大气科学国际合作研究的可行之路

试图提出一个由中美双方大气科学家参与的虚拟合作实验室的解决方案,实验室包括虚拟资料／信息系统、虚拟模拟系统、虚拟应用分析系统、虚拟培训学校、虚拟图书馆、虚拟可视化实验室和虚拟出版系统等。     

城市化与PM2.5时空格局演变及其影响因素的研究进展

快速的城市化和经济发展在改善我们物质生活的同时,也因其剧烈人为活动导致了严重的环境污染,尤其是近年来以细颗粒物(PM_2.5)为首要污染物的城市与区域空气污染问题凸显。而传统的研究更注重孤立地开展空气污染或城市化的研究,缺乏对二者相互耦合关系的综合研究。本文以中国近年来广受关注的以PM_2.5为首要污染物的城市空气污染为切入点,系统地分析总结了在城市化与PM_2.5时空格局演变及其影响因素方面的主要研究进展,包括研究框架、主要方法和相关的主要研究成果等。指明该领域的研究已从空间格局分析逐步深入到健康影响、社会经济驱动等相关方向,并已延伸至复合主题的研究。未来,开展更为深入细致的研究,对于拓展城市与景观生态学的理论体系,了解城市化与城市空气质量的影响关系,解析不同城市发展阶段所面临的城市空气质量问题,将具有重要的科学与现实意义。     

卫星数据和地面观测结合的珠三角地区颗粒物质量浓度统计估算方法

利用卫星观测的气溶胶光学厚度资料和模式模拟数据,与地面颗粒物观测资料结合,探讨近地面颗粒物质量浓度的估算方法。具体包括：利用区域气侯模式RAMS（Regional Atmospheric Modeling System）模拟的边界层高度对气溶胶光学厚度进行垂直订正,获得近地面颗粒物消光系数;利用模式模拟的相对湿度和颗粒物吸湿增长经验模型对消光系数进行湿度订正,获得近地面颗粒物干消光系数;并基于干消光系数与颗粒物质量浓度地面站点资料建立的统计关系估算获得每个像元的颗粒物质量浓度。利用地面站点观测的颗粒物浓度资料验证表明,基于卫星资料可以获得近地面颗粒物质量浓度,而且细颗粒物质量浓度具有更好的估算精度。