青藏高原云-辐射-加热效应和南亚夏季风--1985年与1987年对比分析

文中首先利用NCEP NCAR再分析的风场资料 ,分析了南亚夏季风的时空特征 ,选取了有代表性的典型强、弱夏季风年 ,继而利用ISCCP C2、ERBE S4卫星观测资料和NCEP NCAR再分析资料 ,对比分析了强、弱夏季风前期青藏高原地区的云—辐射—加热状况及其在海、陆差异中的作用。分析结果表明 ,南亚夏季风强或弱 ,其前期青藏高原地区的云—辐射—加热效应有明显的差异。在强 (弱 )南亚夏季风的前期 ,青藏高原大部分地区为相对少 (多 )云区 ,其云量变化不仅表明了此区的云—辐射—加热效应的不同 ,更重要的是与此同时出现的海、陆之间云量分布的“跷跷板”现象 ,进一步改变了海、陆之间的热力差异。而且 ,在强南亚夏季风年 ,这种热力差异不但开始得早 ,而且持续时间长、作用范围大 ,从而对南亚夏季风的形成和变化产生重要的影响     

波包传播诊断的理论基础和计算方法

文中提出了一种新的利用实际观测资料研究波包传播的诊断方法 (WPD) ,并通过理想资料和实际资料的计算证明了该方法的可用性和广泛性     

土壤热异常对地表能量平衡影响初探

将来自土壤深部的热通量引入off line的陆面过程模式 (NCAR—LSM ) ,通过长达 2a的数值试验对比分析了它对各层次土壤温度和地表能量平衡的影响。　　在土壤底部引入 5W /m2 的热通量使底层土壤显著升温 ,但升温随着接近表层而迅速衰减。积分 3个月后 ,由地下进入地表的热流量增幅可达 1W/m2 以上 ,并持续增大到 5W /m2 ,地表最大升温约 0 .5K ,同时地表感热、蒸发潜热及长波辐射通量均有 1W /m2 左右的正异常 ;若将土壤热传导系数放大一个量级以加速热量交换 ,则地表升温提高到 1K以上 ,长波辐射增加 3W /m2 以上 ,超过了气溶胶全球平均的辐射效应。结果表明 :一定量值的土壤热异常对地表能量平衡和短期气候变化 (10 -1～ 10 1a)有着不可忽略的影响。同时 ,深入的资料分析、完善的陆面过程模式以及它与大气模式的耦合试验也是亟待进行的相关工作。     

土壤热异常影响地表能量平衡的个例分析和数值模拟

The statistical relationship between soil thermal anomaly and short-term climate change is presented based on a typical case study. Furthermore, possible physical mechanisms behind the relationship are revealed through using an off-line land surface model with a reasonable soil thermal forcing at the bottom of the soil layer.In the first experiment, the given heat flux is 5 W m-2 at the bottom of the soil layer (in depth of 6.3 m)for 3 months, while only a positive ground temperature anomaly of 0.06℃ can be found compared to the control run. The anomaly, however, could reach 0.65℃ if the soil thermal conductivity was one order of magnitude larger. It could be even as large as 0.81℃ assuming the heat flux at bottom is 10 W m-2. Meanwhile, an increase of about 10 W m-2 was detected both for heat flux in soil and sensible heat on land surface, which is not neglectable to the short-term climate change. The results show that considerable response in land surface energy budget could be expected when the soil thermal forcing reaches a certain spatial-tem poral scale. Therefore, land surface models should not ignore the upward heat flux from the bottom of the soil layer. Moreover, integration for a longer period of time and coupled land-atmosphere model are also necessary for the better understanding of this issue.     

近百年中国东部夏季降水的时空变率

利用中国东部25°N以北28个站1880-1999年夏季季降水序列,用旋转复经验正交函数（RCEOF）方法,研究了中国东部地区百年干湿的时空演变规律。结果表明,夏季降水空间变率大值区依次为:长江中下游地区、淮河流域、江南、华北、西南及东北。除西南外的5个关键区大体上反映了从6月到8月夏季雨带自南向北椎进所滞留的地区。旋转空间位相分布揭示了长江中下游地区、江南、东北的旱涝异常主要表现为驻波振动特征;而淮河流域、华北、西南地区显示出降水异常信号具有部分的行波特征。尤其第4空间模显示出旱涝异常信号从东北南部可沿着黄淮下游传到长江下游地区。对于近百年中国东部地区夏季于湿变化,长江中下游地区、淮河流域、华北及东北四个地区都存在20-25年时间尺度的周期振荡;长江中下游地区及华北地区都存在准60年时间尺度的振荡周期;东北地区主要表现出36年时间尺度的振荡周期;淮河流域存在明显的70-80年时间尺度的振荡周期;华北地区存在的11年时间尺度的振荡周期恰好与太阳黑子活动的11年周期相一致。在年代际时间尺度（包括次年代际时间尺度）上,长江中下游、淮河流域及华北地区的夏季降水的变化与太阳活动有显著的正相关。     

当代气候研究计划

就气候系统问题，国际上与气候及其变化有关的重要科学计划、尤其是气候变化及可预报性研究（CLIVAR）计划，作了简要介绍，同时还就气候预测问题作了讨论。     

暴雨时程方程在中吉乌铁路(中国段)暴雨估算中的应用

根据中吉乌铁路（中国段）沿线10多个气象水文观测站40多年（建站至2000年）各历时最大降水量资料，对中吉乌铁路（中国段）暴雨强度进行系统的研究。应用熵气象学导出的暴雨时程方程，预测了中吉乌铁路（中国段）各历时最大降水量。这对于中吉乌铁路（中国段）工程设计和施工及未来铁路客运等具有重要的科学意义和工程价值。     

东亚地区春冬季与夏季大气环流异常相互关系的研究

利用1951~2000年共50年的北半球500 hPa月平均高度距平场资料和奇异值分解技术（SVD），重点对东亚地区季节间大气环流异常的相互关系进行了初步探讨。结果表明，东亚地区季节间大气环流异常存在着较为密切的关联，并且这种明显的非同步联系具有时空相关显著的特点，尤其是夏季大气环流异常与其前冬和前春大气环流异常的联系更为密切。当前冬和前春北半球东亚大槽和北美大槽及蒙古高压偏强（或偏弱），极涡偏弱（或偏强），中高纬度盛行经向环流（或纬向环流），以及低纬和热带地区高度正距平（或负距平）明显时，则对应于夏季东亚地区西太平洋副高和鄂霍次克海阻高强度偏强（或偏弱），位置偏南（或偏北），贝加尔湖阻高强度也偏强（或偏弱），但位置偏西（或偏东）的大尺度环流形势出现。当春季北半球大气环流具有上述特点以及夏季鄂霍次克海阻高和西太平洋副高强度偏强（或偏弱），位置偏南（或偏北），且极涡较弱（较强）时，则东亚地区秋季大气环流对应于蒙古高压加强（或较弱），西太平洋副高减弱（或加强），并向南和向东移动（或移动较慢），极涡向南扩散（或扩散减弱），大气环流向冬季过渡加快（或减慢）。另外，大气环流异常还具有一定的持续性特征。     

Atmospheric Surface-Layer Processes During the Total Solar Eclipse Of 11 August 1999

The central path of the total solar eclipse (TSE) of 11 August 1999 mostly passedthrough a region of active monsoon in India, with the eclipse ending around localsunset. Measurements in the surface layer (SL) were carried out close to the eclipseaxis at Akola (20°42' N, 77°2' E) in central India. The globalradiation flux reaching the surface vanishes around totality at 1803:24 (LT), followedby a small recovery before again dipping to zero at sunset. The temperatures in the SL, and subsoil at 50-mm depth, show a local minimum with a lag of about 10 min after the second contact, whereas the lag appears to vanish when the temperature series is detrended. The SL exhibits near-neutral, though generally stable, conditions from about 1500 hr itself due to heavy cloud cover followed by the eclipse-induced cooling of the surface. The wind component across the eclipse axis vanishes at totality, the wind vector aligning with the azimuth of the traversing moon shadow. The deceleration of the mean flow can be due to the combined effect of the colder surface and downward heat flux, where the locally altered horizontal temperature gradients may cause, as in this instance, the cessation of the cross flow.The oscillations in temperature and wind that show significant peaks, around 90–100 min as well as the semi-period of the eclipse near 60 min, persist for several hours past the eclipse event. A fresh analysis of the published data on the TSE of 7 March 1970 shows spectral peaks in the temperature nearly coincident with those already reported from the surface pressure records. The oscillations in the SL fields during the two TSE events are very similar implying that the source mechanism is also likely to be the same in both the cases.     

The Production of Methanol by Flowering Plants and the Global Cycle of Methanol

Methanol has been recognised as an important constituent of the background atmosphere, but little is known about its overall cycle in the biosphere/atmosphere system. A model is proposed for the production and emission to the atmosphere of methanol by flowering plants based on plant structure and metabolic properties, particularly the demethylation of pectin in the primary cell walls. This model provides a framework to extend seven sets of measurements of methanol emission rates to the global terrestrial biosphere. A global rate of release of methanol from plants to the atmosphere of 100 Tg y^–1 is calculated. A separate model of the global cycle of methanol is constructed involving emissions from plant growth and decay, atmospheric and oceanic chemical production, biomass burning and industrial production. Removal processes occur through hydroxyl radical attack in the atmosphere, in clouds and oceans, and wet and dry deposition. The model successfully reproduces the methanol concentrations in the continental boundary-layer and the free atmosphere, including the inter-hemispheric gradient in the free atmosphere. The model demonstrates a new concept in global biogeochemistry, the coupling of plant cell growth with the global atmospheric concentration of methanol. The model indicates that the ocean provides a storage reservoir capable of holding at least 66 times more methanol than the atmosphere. The ocean surface layer reservoir essentially buffers the atmospheric concentration of methanol, providing a physically based smoothing mechanism with a time constant of the order of one year.