海洋碳循环模式(Ⅱ)——对印度洋的模拟结果分析

把建好的海洋碳模式应用于印度洋区域，模拟得到了印度洋中与碳有关各化学量的表层分布、垂直分布和沿子午线面的等值线分布。与实测的GEOSECS(Geochemical Ocean－Section Study)数据作对比，模式较好地再现了印度洋上营养盐浓度、总碳浓度、总碱度和溶解氧的二维分布。通过模拟还发现，在稳定状态下，大气和海洋中总碳含量的分布依赖于发生在海洋中的各种物理化学过程及边界条件，水平扩散系数Kh和光合作用常数率Kg对各化学量的分布有较大影响(以前有学者认为不太重要，如Baes[1])；南印度洋中纬地区10°S至30°S是14C的重要向下渗透区域，人为排放的CO2可通过这片渗透区从海洋的表层输入海洋的深层。     

海洋中碳及营养物自然分布的数值模拟

用海洋生物化学环流模式（Ｂ－ ＧＣＭ） 模拟了工业化前碳及营养物在海洋中的分布, 并得到了较为合理的结果。模式考虑了海洋表面化学和一个简单的生物过程。模式的主要预报变量有总ＣＯ２ 、碱度和磷酸盐。决定生物化学物质分布的三个参数的取值为： ＰＯＣ 通量的垂直廓线的指数ａ 取观测值０－８５８ 、生物生产效率ｒ ＝ ２／ 年和下落比Ｒ＝ ０－０６ 。用Ｂ－ＧＣＭ 模拟出的结果与ＧＥＯＳＥＣＳ观测值基本相符。     

一个混合型热带海洋-大气耦合模式I.模式构成及热带太平洋气候态模拟

本工作发展了一个用于研究热带海洋大气系统相互作用和ＥｌＮｉｎ～ｏ／ＳｏｕｔｈｅｒｎＯｓ－ｃｉｌａｔｉｏｎ动力过程的混合型（ｈｙｂｒｉｄ）耦合模式，其中的大气部分为一个由一阶斜压模表示的自由大气和混合行星边界层所组成的简单热带大气模式（区域为热带太平洋：１２０°Ｅ～８０°Ｗ，３０°Ｎ～３０°Ｓ；水平分辨率为２°×２°），海洋部分为大气物理研究所高分辨率自由表面热带太平洋环流模式（经纬圈方向水平分辨率分别为１°和２°，垂直方向分为不等距的１４层）。两模式间的耦合是这样进行的：简单大气模式计算出海表风应力，热通量由松弛公式计算，淡水通量（蒸发与降水之差）由观测资料给定，它们一起作为海洋环流模式（ＯＧＣＭ）的强迫场；而ＯＧＣＭ计算出海表温度（ＳＳＴ），在其以外地区给定观测到的气候海表温度或陆地温度，作为大气模式的边界条件。本文给出采用逐日、同步耦合方案时模式对热带太平洋气候态模拟结果，表明未采用任何通量修正（ｆｌｕｘｅｓｃｏｒｒｅｃｔｉｏｎ），耦合模式未出现气候漂移（ｃｌｉｍａｔｅｄｒｉｆｔ）现象，并且非常逼真地再现了热带太平洋气候态，特别是海表风场及相伴随的辐合带和降水、海表温度和流场及它们的季节变化。文中还进行     

一个热带太平洋上层海洋环流模式及其检验研究

为进行ＥＮＳＯ的模拟与预测,在中国科学院大气物理研究所原有的较低分辨率全球海洋环流模式的基础上,引入依赖于Ｒｉｃｈａｒｄｓｏｎ数的垂直扩散方案和太阳短波辐射穿透的物理过程,发展了一个较高分辨率的热带太平洋上层海洋环流模式。利用该模式和１９８０～１９９５年大气强迫场的观测,进行了热带太平洋海温及环流的结构和演变的数值模拟研究,并利用美国国家环境预报中心（ＮＣＥＰ）的同时段的海洋同化分析,就海洋及其时间变化的三维特征,检验了模拟结果。首先,检验了该模式对ＥＮＳＯ事件的三维结构特征及其演变的模拟能力,结果表明：这１６年间所有冷暖事件的发生、发展和消亡均得到基本正确的模拟;海温异常的强度和结构特征与实况有偏差,尤其是次表层,距平量在赤道西太平洋和沿斜温层显著弱于实况;表层海温（ＳＳＴ）距平与实况较为接近,只是在日期变更线附近偏大。然后,强调海气耦合模式要成功预测ＥＮＳＯ,真正严峻的考验是海洋模式对次表层海洋的模拟能力,而不能仅仅满足于对ＳＳＴ的正确模拟。因此,为全面评估该海洋模式,探讨模式误差的原因,根据同化资料,找出年际变化和季节变化最显著的区域之后,检验了多年平均状态及其季节变化、年际变率及其季节变化等统计量。     

热带西太平洋定点海域降水的化学特征研究

对热带西太平洋定点（４°Ｓ，１５６°Ｅ）海域长达４个月的降水化学调查，研究了降水中化学成分的变化特征、连续性与断续性降水过程和西风暴发事件（ＷＷＢＥ）及大风暴降雨过程中降水的化学成分。结果表明：定点海域（４°Ｓ，１５６°Ｅ）纯“海洋性”降水的ｐＨ为５．５５，其Ｍｎ／Ｆｅ比值为０．５４，Ｃｌ－与ＳＯ２－４是降水中最大量的离子；连续性降水ｐＨ呈“∨”型分布，Ｅｈ呈“∧”分布，总－２价硫的浓度Ｓ（－Ⅱ）呈降低分布，且最后趋于稳定，ＳＯ２－４，ＮＨ＋４，ＰＯ３－４等在降雨开始后一段时间出现最大值，呈现与其它组分相反的行为；断续性降水ｐＨ，Ｅｈ趋于升高。西风暴发事件（ＷＷＢＥ）期间，绝大多数组分在降水中浓度高于ＷＷＢＥ发生前、后的浓度，而ＮＨ＋４低于ＷＷＢＥ发生前、后的浓度，ＰＯ３－４，ＳｉＯ２－３则是低于ＷＷＢＥ发生前的浓度，而高于发生后的浓度，大风暴降雨Ｃｌ－，ＳＯ２－４的浓度比正常降雨时可高达数倍，说明海上大风暴使大量海水滴被卷入空中，又随降雨落下，这时的降水ｐＨ也有显著增高。     

1991—1992年ENSO事件的特征

根据美国国家海洋大气局气候分析中心（ＣＡＣ）和中国气象局气候监测公报所提供的海－气资料，综合分析了１９９１－１９９２年ＥＮＳＯ事件的形成、发展过程。这次ＥＮＳＯ事件的主要特点是：①在ＥＮＳＯ事件爆发前一年内热带太平洋海气特性频频呈现异常，暖水堆积在赤道中太平洋（５°Ｎ－５°Ｓ，１６０°Ｅ－１６０°Ｗ）约１２个月，然后自西向东传输，爆发１９９１－１９９２年ＥＮＳＯ事件。②对ＥＮＳＯ事件作出响应的西太     

用IAP/LASG GOALS模式模拟CO_2增加引起的东亚地区气候变化(英文)

用一个全球耦合的海洋──大气──陆地系统模式（ＩＡＰ／ ＬＡＳＧ ＧＯＡＬＳ）研究因 ＣＯ２增加引起的全球增暖,重点是讨论东亚地区气候变化。完成了两个试验,一个是ＣＯ２含量保持不变的对照试验,一个是ＣＯ２浓度按每年１０％增加的扰动试验。结果表明,在对照试验中没有出现气候漂移,在ＣＯ２含量加倍时全球平均地面气温将增加１．６５℃。ＧＯＡＬＳ模式能较好模拟观测的东亚温度和降水的空间分体和年循环,但模拟的年平均温度略偏低、年降水稍偏大。在ＣＯ２含量加倍时,东亚地区温度和降水将分别增加２．１℃和５％,最大增温出现在中纬度大陆上,最大的降水增加出现在２５°Ｎ附近。     

近赤道太平洋表层和斜温层海温的变化与ENSO

用ＮＭＣ１９８２～１９９３年海洋再分析资料集,分析近赤道太平洋（１０°Ｓ～１０°Ｎ）海洋上层（０～４００ｍ）温度的季节和年际变化特征。分析揭示,上层海温的年际变化比季节变化大。在ＥＮＳＯ年或反ＥＮＳＯ年,由于斜温层深度变化大,斜温层附近的海温异常比海表还大,无论在西太平洋暖水区,还是东太平洋冷水区,斜温层附近温度距平都可达±７°℃以上,而且西太平洋暖水区的最大异常出现在赤道两侧４°～９°区域。     

两层原始方程海流数值模式和模拟

设计了一个两层原始方程海流数值模式，利用１月和７月多年平均的海平面气压场和由该气压诊断出的海面风场，对此模式的性能进行了检验，结果表明，模拟得出的海洋表层及次表层流与实况较为一致，文中还将模拟结果和ＩＡＰ ＯＧＣＭ以及ＯＳＵ ＯＧＣＭ的相庆结果作了初步比较和分析。     

DYNAMICAL EFFECTS OF TYPHOON BACKGROUNDFLOW ON TYPHOON SUBCIRCULATION AND TYPHOONMOTION

ＤＹＮＡＭＩＣＡＬＥＦＦＥＣＴＳＯＦＴＹＰＨＯＯＮＢＡＣＫＧＲＯＵＮＤＦＬＯＷＯＮＴＹＰＨＯＯＮＳＵＢＣＩＲＣＵＬＡＴＩＯＮＡＮＤＴＹＰＨＯＯＮＭＯＴＩＯＮＫａｎｇＤｉ（亢迪）（ＩｎｓｔｉｔｕｔｅｏｆＳｙｎｏｐｔｉｃａｎｄＤｙｎａｍｉｃＭｅｔｅｏｒｏ...     

带生物泵三维全球海洋碳循环模式

建立了一个带生物泵的三维全球海洋碳循环模式,该模式在海气界面上与一个CO2充分混合的大气箱进行CO2交换,模式积分1 200年达到准稳定态的海水总CO2、碱度及溶解氧的浓度、表层新生产力、海气分压差等的分布与实测相接近。通过带生物泵和不带生物泵的对比实验,表明海洋生物过程在海洋吸收大气中CO2能力上起着重要作用。     

亚印太交汇区的海洋再分析系统

An ocean reanalysis system for the joining area of Asia and Indian-Pacific Ocean (AIPO) has been developed and is currently delivering reanalysis data sets for study on the air-sea interaction over AIPO and its climate variation over China in the inter-annual time scale.This system consists of a nested ocean model forced by atmospheric reanalysis,an ensemble-based multivariate ocean data assimilation system and various ocean observations.The following report describes the main components of the data assimilation system in detail.The system adopts an ensemble optimal interpolation scheme that uses a seasonal update from a free running model to estimate the background error covariance matrix.In view of the systematic biases in some observation systems,some treatments were performed on the observations before the assimilation.A coarse resolution reanalysis dataset from the system is preliminarily evaluated to demonstrate the performance of the system for the period 1992 to 2006 by comparing this dataset with other observations or reanalysis data.     

An ocean data assimilation system in the Indian Ocean and west Pacific Ocean

The development and application of a regional ocean data assimilation system are among the aims of the Global Ocean Data Assimilation Experiment. The ocean data assimilation system in the regions including the Indian and West Pacific oceans is an endeavor motivated by this goal. In this study, we describe the system in detail. Moreover, the reanalysis in the joint area of Asia, the Indian Ocean, and the western Pacific Ocean(hereafter AIPOcean) constructed using multi-year model integration with data assimilation is used to test the performance of this system. The ocean model is an eddy-resolving,hybrid coordinate ocean model. Various types of observations including in-situ temperature and salinity profiles(mechanical bathythermograph, expendable bathythermograph, Array for Real-time Geostrophic Oceanography, Tropical Atmosphere Ocean Array, conductivity–temperature–depth, station data), remotely-sensed sea surface temperature, and altimetry sea level anomalies, are assimilated into the reanalysis via the ensemble optimal interpolation method. An ensemble of model states sampled from a long-term integration is allowed to change with season, rather than remaining stationary. The estimated background error covariance matrix may reasonably reflect the seasonality and anisotropy. We evaluate the performance of AIPOcean during the period 1993–2006 by comparisons with independent observations, and some reanalysis products. We show that AIPOcean reduces the errors of subsurface temperature and salinity, and reproduces mesoscale eddies. In contrast to ECCO and SODA products, AIPOcean captures the interannual variability and linear trend of sea level anomalies very well. AIPOcean also shows a good consistency with tide gauges.     

一个太平洋海盆尺度环流模式及其模拟结果

在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)发展的全球气候海洋环流模式(LICOM)的基础上构建了一个太平洋海盆环流模式,并对其模拟结果进行了深入的分析.在模拟中对中尺度示踪物输送采用了两种方案,即传统的水平扩散方案(HOR)和包括涡旋诱导速度的等密度面扩散方案(GM).对这两个试验的气候平衡态结果分析发现,该模式较好地模拟出了太平洋的环流特征,包括副热带大涡、副极地涡旋以及南极绕流(ACC)等.赤道附近的各种流系亦得到了较好的模拟,模拟的150°W赤道潜流的最大流速为40 cm/s,出现在次表层130 m左右,虽然模拟值比基于NCEP资料估计的最大流速80 cm/s小,但与其位置十分相近.两个试验均较好地模拟出了温盐的分布结构,包括北太平洋和南太平洋中层水的形成以及南极底层水的输送等.通过详细分析两个试验结果发现,总的说来在目前模式所采用的参数条件下,GM的结果稍好于HOR的结果.这些模拟结果表明,在LICOM基础上构建的太平洋环流模式从总体上是能再现许多观测特征的,可为今后进一步研究被动示踪物在北太平洋的分布等问题提供一个十分有用的工具.     

海洋碳循环模式（Ⅰ）一个包括海洋动力学环流、化学过程和生物过程的二维碳模式的建立

利用一个全球海洋动力学环流模式所模拟的海洋环流场,建立了一个全面的二维海洋碳循环模式。此模式摒弃了传统箱模式的缺陷,充分考虑了诸如大气与海洋间的碳交换、光合作用和氧化分解、碳酸钙的产生和溶解、悬浮颗粒物的下沉等过程,尤其是在模式中耦合进了以往甚少考虑的海洋生物过程对碳循环的影响,引入了详尽合理的参数化方案。通过模拟发现：在稳定状态下,大气和海洋中总碳含量分布依赖于发生在海洋中的各种物理化学过程及边界条件,水平扩散系数和光合作用常数率对各化学量的分布有很大影响。     

South Indian Ocean Rossby Waves

ABSTRACT

South Indian Ocean Rossby waves (SIO-RW) are identified in the Global Ocean Data Assimilation System (GODAS) 1.5–7?yr filtered sea surface height (SSH) time series. There is a persistent three-year oscillation in the 5°–15°S latitude band from 55° to 85°E. Field correlations show little coupling at 90°E, but as the SIO-RW undulates westward at approximately 0.19?m?s^?1 across the mid-basin, a northwest–southeast axis of warm sea surface temperatures (SSTs) and deep convection forms. Many teleconnections in earlier work are confirmed: interannual pulses of zonal wind in the eastern basin trigger the SIO-RW via anticyclonic wind stress curl. New insights derive from an understanding of links with the upper troposphere. As the SIO-RWs move westward with the onset of an El Niño in the Pacific, increased convection over the north Indian Ocean corresponds to reduced evaporation and SST warming. Mid-tropospheric heating T′?>?2°C over the northwest Indian Ocean accelerates the southern sub-tropical jet to greater than 10?m?s^?1 over the southeast Indian Ocean, reinforcing the anticyclonic vorticity. The downstream acceleration of the jet generates upper-level divergence and moist convection over the western basin, anchoring an atmospheric Rossby wave in a northwest–southeast alignment underpinned by differential propagation of the SIO-RW. As the ocean Rossby wave reaches Africa, the coupling fades and transitions. What distinguishes Indian Ocean from Pacific Ocean Rossby waves are their southern latitude and higher frequency. The tropical mid-tropospheric heating that accelerates the southern sub-tropical jet shifts westward in tandem with the SIO-RW.     

Ocean circulation and ocean-atmosphere exchanges

The oceans have a major influence on climate through the ocean-atmosphere exchange processes. However, limits to our present understanding of some of these processes is an important factor in our inability to model climate change precisely. Present knowledge of ocean structure and circulation is reviewed, with a particular emphasis on the Southern Hemisphere oceans, and the major ocean-atmosphere exchanges are examined. The influence of interhemispheric asymmetries in global warming scenarios is discussed. An improved understanding of the oceans and therefore better climate models will result from planned international ocean research experiments in the 1990s.     

Aerosol over the Southern Ocean

In a first attempt to assess a proposed climatic change feedback process involving cloud condensation nuclei (CCN) and cloud albedo, CCN concentrations N as a function of supersaturation S were measured on a voyage from latitude 43 to 65°S in October–November 1988. The usual relationship N=CS^k, with k=0.5 and C a constant was a fair apprraximation for S in the range 0.3–0.7% implying that CCN concentrations should largely determine cloud drop concentrations and hence albedo for clouds with S in that range. South of latitude 50°S and at smaller S,k was 1 or larger on average, which would lead to reduced dependence of albedo on CCN for the relevant clouds. N varied very widely for separations of the order of 100 km or 6 hours in time, particularly when the sea was partly ice-covered, suggesting strong local influences. During a large increase in N 60°S, unaccompanied by an increase in condensation nuclei (CN), cloud drops grew more rapidly than usual. In a subsidiary experiment particles were collected and examined by transmission electron microscopy. For particles less than 0.2 μm diameter, 80–90% appeared to consist of ammonium sulfate, the remainder being sea salt or an unknown substance which was more liquid and heat-resistant. Dialysis showed that the sulfate particles contained a few percent of insoluble material. Particles which formed cloud drops in vapours other water, were also studied. Comparison of these and water CCN and the rates of droplet suggested that the water insoluble portion of the particles was ethanol-soluble and surface-active. CN concentrations decreased by a factor of about 2 between 43 and 65°S, a change closely paralleled by ethanol CCN concentrations.