高云与高层垂直速度关系的个例研究I·观测事实

利用ISCCP D1、D2和ECMWF再分析资料,选取1998年1月和7月进行个例分析,得到以下结论:1)高云和垂直速度的关系密切。从月平均来看,南北半球的冬夏变化呈现出明显的不对称。热带1月份的云区和上升区集中在赤道以南,呈带状分布,其中南非及相邻的西印度洋、120°E~120°W的赤道太平洋、赤道与30°S之间的南美大陆为3个主要区域;7月份云区和上升区移至赤道以北,以块状分布为主,尤其是印度洋、西太平洋的热带地区、亚洲季风区和副热带高压中心的西部形成一个大范围的闭合块状区域。2)不同类型的高云在热带和热带外地区的云顶高度是不一样的:在热带地区,深对流云、卷层云和卷云的云顶高度在180 hPa和310 hPa之间;在副热带和中高纬度的绝大部分地区,卷云的云顶高度在180 hPa和310 hPa之间,而卷层云、深对流云的则在310 hPa到440 hPa之间。3)不同类型的高云与相应的垂直速度的逐日变化既十分密切又各有不同,其中深对流云和垂直速度、卷层云和深对流云的同步性较好,并且卷层云和卷云可以独立于深对流云而在局地产生,这与热带高云产生于深对流云的经典观点不同;此外,在热带地区呈现低频变化的特征,这表明在大气环流模式中改进高云的模拟能力可能会提高对大气低频振荡的模拟能力。     

高云与高层垂直速度关系的个例研究Ⅰ.观测事实

利用ISCCP D1、D2和ECMWF再分析资料,选取1998年1月和7月进行个例分析,得到以下结论:1)高云和垂直速度的关系密切.从月平均来看,南北半球的冬夏变化呈现出明显的不对称.热带1月份的云区和上升区集中在赤道以南,呈带状分布,其中南非及相邻的西印度洋、120°E～120°W的赤道太平洋、赤道与30°S之间的南美大陆为3个主要区域;7月份云区和上升区移至赤道以北,以块状分布为主,尤其是印度洋、西太平洋的热带地区、亚洲季风区和副热带高压中心的西部形成一个大范围的闭合块状区域.2)不同类型的高云在热带和热带外地区的云顶高度是不一样的:在热带地区,深对流云、卷层云和卷云的云顶高度在180 hPa和310hPa之间;在副热带和中高纬度的绝大部分地区,卷云的云顶高度在180 hPa和310 hPa之间,而卷层云、深对流云的则在310hPa到440 hPa之间.3)不同类型的高云与相应的垂直速度的逐日变化既十分密切又各有不同,其中深对流云和垂直速度、卷层云和深对流云的同步性较好,并且卷层云和卷云可以独立于深对流云而在局地产生,这与热带高云产生于深对流云的经典观点不同;此外,在热带地区呈现低频变化的特征,这表明在大气环流模式中改进高云的模拟能力可能会提高对大气低频振荡的模拟能力.     

中国东部云-降水对应关系的分析与模式评估

为评估和改进模式中不同类型云与降水的对应关系,利用1998—2007年卫星-台站融合降水资料和国际卫星云气候计划的卫星观测云资料,采用诊断方法分析了中国东部季风区冬季层云、夏季对流云、层云与降水的水平分布及季节变化对应关系,并评估了BCC_AGCM模式的T42和T106分辨率版本对云-降水对应关系的模拟能力。观测资料分析结果表明,中国东部冬季云带和雨带都稳定少动,降水主要来自雨层云和高层云,南部沿海层云和层积云也对降水有贡献;夏季,中国东部表现为层积混合云降水特征,对流云带与降水带具有较好的对应关系,并具有一致的移动特征。对流降水主要来自深对流云和卷层云,深对流云云量和降水中心完全吻合,卷层云云带则表现出比深对流云主体和降水带偏北的现象;层云降水主要来自高层云和层积云。模式评估结果表明,中、低分辨率版本的BCC_AGCM模式均模拟出了冬季层云和稳定少动的降水带、夏季深对流云、卷层云和降水带的对应关系及随季风推进的移动特征。与T42模式版本相比,T106模式版本在夏季对流云云量的模拟及其与降水带的对应关系方面有所改善,说明改进的BCC_AGCM积云对流参数化方案与高分辨率模式网格更匹配,但冬季层云云量模拟误差变大,与降水带的对应关系变差,其原因值得进一步分析研究。     

IAP-AGCM对QBO模拟的动量收支分析（英文）

平流层准两年振荡(QBO)是赤道平流层(～100-1 hPa)变率的主要模态,可对中高纬地区的环流产生重要影响,但目前利用通用大气环流模式(GCM)对其进行准确模拟仍然是一个挑战.本文利用IAP大气环流模式(IAP-AGCM)的中高层大气模式版本(IAP-AGCML69)对QBO进行模拟,并对其动量收支情况进行分析.研究发现,QBO主要是由对流活动引起的重力波强迫(参数化)引起的,但该动量强迫被平流层赤道上升流所引起的平流过程显著削弱.模式可分辨尺度的波动强迫对赤道上空的QBO的总纬向风倾向有正贡献,在上平流层,其量值大小与参数化的重力波强迫相当.以上结果提供了对QBO形成机制以及模式模拟差异可能原因的认识.     

IAP-AGCM对QBO模拟的动量收支分析

平流程准两年振荡(QBO)是赤道平流层(～100-1 hPa)变率的主要模态,可对中高纬地区的环流产生重要影响,但目前利用通用大气环流模式(GCM)对其进行准确模拟仍然是一个挑战.本文利用IAP大气环流模式(IAP-AGCM)的中高层大气模式版本(IAP-AGCML69)对QBO进行模拟,并对其动量收支情况进行分析.研究发现,QBO主要是由对流活动引起的重力波强迫(参数化)引起的,但该动量强迫被平流层赤道上升流所引起的平流过程显著削弱.模式可分辨尺度的波动强迫对赤道上空的QBO的总纬向风倾向有正贡献,在上平流层,其量值大小与参数化的重力波强迫相当.以上结果提供了QBO形成机制以及模式模拟差异可能原因的认识.     

高云与高层垂直速度关系的个例研究II·动力学分析

观测表明,高云的夏季块状分布和冬季带状分布,与低层赤道辐合带的夏季与冬季的形状十分相似;并且卷云和卷层云可以独立于深对流单独存在。作者对这两个观测分析结果进行动力学分析,结论如下:1)由于印度洋北面是青藏高原与亚洲大陆,夏季不能在北面副热带地区形成反气旋,从而印度洋赤道北面为西南气流,导致了赤道辐合带在该地区断裂并且相应的深对流在亚洲季风区的块状分布。2)利用斜压超长波理论,将Rodwell等的亚洲季风单向模型(即非绝热加热导致季风形成)作了修改,扩展为双向闭合模型。印度洋跨赤道偏南风产生大范围水汽辐合,其与地形的共同作用,产生了降水云系的高层加热,由于Sverdrup涡度平衡关系,导致了低层的偏南风而形成了一个相互作用的闭合过程,从而表明了亚洲夏季风是准定常的。3)通过详细分析涡度方程,证明除了恰好在赤道上之外,赤道辐合带上的水平辐合均会产生涡,并且这些涡由点涡(涡度的奇异部分)与各种尺度的涡(涡度的正则部分)组成。正涡度对应于云区,负涡度对应于晴空区,与赤道辐合带(ITCZ)的观测结果一致。4)由于辐合和切变产生涡,得到赤道辐合带和深对流的带状准定常维持的动力机制,即:由于赤道辐合带的辐合,其南北风辐合与东西风切变将产生涡,其与水汽的共同作用产生了深对流的上升降水云系,而降水云系的潜热诱导上升,进一步加强了水平辐合,从而表明了赤道辐合带的带状准定常维持的中介是不同尺度的涡。5)卷云和卷层云可以独立于深对流的原因是热带卷云和卷层云与流场是可以互相激发的,深对流不是其唯一的源。     

高云与高层垂直速度关系的个例研究Ⅱ.动力学分析

观测表明,高云的夏季块状分布和冬季带状分布,与低层赤道辐合带的夏季与冬季的形状十分相似;并且卷云和卷层云可以独立于深对流单独存在.作者对这两个观测分析结果进行动力学分析,结论如下:1)由于印度洋北面是青藏高原与亚洲大陆,夏季不能在北面副热带地区形成反气旋,从而印度洋赤道北面为西南气流,导致了赤道辐合带在该地区断裂并且相应的深对流在亚洲季风区的块状分布.2)利用斜压超长波理论,将Rodwell等的亚洲季风单向模型(即非绝热加热导致季风形成)作了修改,扩展为双向闭合模型.印度洋跨赤道偏南风产生大范围水汽辐合,其与地形的共同作用,产生了降水云系的高层加热,由于Sverdrup涡度平衡关系,导致了低层的偏南风而形成了一个相互作用的闭合过程,从而表明了亚洲夏季风是准定常的.3)通过详细分析涡度方程,证明除了恰好在赤道上之外,赤道辐合带上的水平辐合均会产生涡,并且这些涡由点涡(涡度的奇异部分)与各种尺度的涡(涡度的正则部分)组成.正涡度对应于云区,负涡度对应于晴空区,与赤道辐合带(ITCZ)的观测结果一致.4)由于辐合和切变产生涡,得到赤道辐合带和深对流的带状准定常维持的动力机制,即:由于赤道辐合带的辐合,其南北风辐合与东西风切变将产生涡,其与水汽的共同作用产生了深对流的上升降水云系,而降水云系的潜热诱导上升,进一步加强了水平辐合,从而表明了赤道辐合带的带状准定常维持的中介是不同尺度的涡.5)卷云和卷层云可以独立于深对流的原因是热带卷云和卷层云与流场是可以互相激发的,深对流不是其唯一的源.     

金沙江乌东德水电站暴雨概念模型与云型特征

利用自动气象观测站降水资料、常规地面与高空观测资料及卫星云图资料,对2012—2017年6—10月金沙江乌东德水电站坝区18次暴雨个例的大尺度环流背景及卫星云图演变特征进行统计分析,结果表明,切变冷锋型、两高辐合型、西南涡型、孟加拉湾风暴型、切变线型和高空槽型是金沙江乌东德水电站坝区的六类暴雨概念模型。总结归纳出对应的六类典型云型：切变线云带前界处的对流云团8次(占44.4%)、两高辐合云区内部的对流云团4次(占22.2%)、西南涡西南或东南象限的对流云团2次(占11.1%)、孟加拉湾风暴涡旋云系中分离出来的对流云团或对流云系2次(占11.1%)、切变线云带内部的对流云团1次(占5.6%)、高空槽前盾状卷云区南端的对流云系1次(占5.6%)。     

CloudSat/CALIPSO卫星资料分析云的全球分布及其季节变化特征

全球气候模式（GCM）中云的参数化方案具有不确定性,了解云的时、空变化能为参数化方案提供有效参考。利用搭载在属于A-Train卫星序列的CloudSat和CALIPSO上的94 GHz云廓线雷达（CPR）以及正交极化云-气溶胶激光雷达（CALIOP）联合的2级云分类产品,分析了2007年3月-2010年2月8种云类及三相态的云量地理分布、纬向垂直分布的季节变化特征以及云层分布概率。结果发现,卷云的分布体系与深对流云相似,主要集中在西太平洋暖池、全球各季风区及赤道辐合带,分布格局与气压带、风带季节性移动一致。层云与层积云主要分布在中低纬度非季风区以及中高纬度的洋面上。高积云与高层云的分布形成明显的海陆差异,雨层云与积云的分布形成明显的纬度差异。冰云分布与卷云相似,云高随纬度递增而递减;水云分布与层积云相似,平均分布于2 km高度;混合云集中于高纬度地区及赤道辐合带,中纬度地区随纬度变化集中于海拔0-10 km的弧形带。层状云多以多层云形式出现,积状云多以单、双层云的形式出现,层状云的云重叠现象比积状云更显著。积状和层状云的分布特征与积云和层云降水的分布特征基本一致,验证了不同类型降水的卫星观测结果,同时为气候模式的云量诊断方案提供对比验证的数据。      

利用热带测雨卫星的测雨雷达资料对1997/1998年El Ni?o后期热带太平洋降水结构的研究

利用热带测雨卫星的测雨雷达(TRMM PR)的探测结果,对1997/1998年 El Ni(n)o后期热带太平洋的降水结构进行了研究,并对比了非El Ni(n)o的1999年和2000年的同期降水情况,取得如下结果:(1)1997/1998 El Ni(n)o后期与非El Ni(n)o期间相比,1997/1998 El Ni(n)o后期,热带东、中太平洋层云降水和对流云降水的比例明显增大、平均降水率也增大,并且层云强降水的比例增多,而层云弱降水比例减少.(2)在非El Ni(n)o期间,热带东、中太平洋对流云降水系统较为浅薄,冻结层高度比西太平洋低约0.5 km;而在1997/1998 El Ni(n)o后期,这种差异明显减小,热带东、中太平洋对流云降水和层云降水都变得深厚;对流云降水和层云降水的降水率随高度的变化也发生了变化.(3)对大气环流的分析表明,对应于降水结构的变化,热带太平洋地区的高空辐合辐散分布也发生了改变,导致Walker环流在1997/1998 El Ni(n)o后期减弱.     

AGCM中云的不均匀性作用的初步研究

利用ISCCP的云不均匀性资料,探讨了云不均匀性在AGCM中的作用,分别考查了不均匀云光学厚度的贡献、单次散射反照率和不对称因子的贡献,以及3个因子的总贡献.研究表明,考虑云不均匀性效应后,AGCM模拟的气候场有着较为明显的变化.由于不均匀云光学厚度对短波辐射场的贡献与不均匀云单次散射反照率和不对称因子这两个因子对短波辐射场的作用基本上是相反的,从而造成同时考虑3个因子作用时,云的不均匀性效应对辐射场的直接作用很小,但可通过云水场的改变来间接影响辐射场.研究清楚地显示了云-辐射相互作用的复杂性,云的全面正确处理对模式模拟能力的提高非常重要.       

IAP AGCM中短波辐射方案的改进研究I·引入Fu-Liou短波辐射方案

冰云和水云对短波辐射性质(消光系数、单次散射反照率及不对称因子)的影响很不相同,应分别计算。Fu-Liou短波辐射方案(以下称Fu-Liou code)就是对冰云和水云分别采用了不同的参数化方案,云的短波辐射性质直接由云的物理性质来确定。因此,Fu-Liou code在云的处理方面物理意义更清晰且很合理。作者将Fu-Liou code引入IAP AGCM-II中,称为Version 2。对当代气候场的模拟结果表明,Version 2的各个物理过程是协调匹配的,且其对气候场的模拟性能是好的,从而为进一步改进IAP AGCM的短波辐射方案提供了很好的模式基础。     

不同分辨率BCC_AGCM模式对东亚区域垂直云量的模拟

基于ISCCP(International Satellite Cloud Climatology Project)和NCEP(National Centers for Environmental Prediction)资料分析了BCC_AGCM2.1(Beijing Climate Center_Atmospheric General Circulation Model 2.1)和BCC_AGCM2.2模拟的云在东亚的垂直分布特点,并探讨了误差来源。两个模式大体上模拟出了总云量的分布形势,较好地模拟出了垂直方向上云量大值带随地形的变化特点,但模拟的总云量偏少。AGCM2.2模拟的云量整体上小于AGCM2.1,除复杂地形外AGCM2.2没有体现出高分辨率的优势。模式对中国东部环流场的模拟效果差导致模拟的云量偏少,尤其是AGCM2.2。模拟的对流层高层相对湿度明显偏大导致高层云量偏大。模式在近海面模拟的相对湿度偏小,四川盆地及周围地区冷季模拟的水汽含量偏少,因而模拟的云量偏少。模式云量对相对湿度的响应能力较好,模拟出了云量对垂直速度和稳定度的响应,但地区差异不明显。模式的云参数化方案中云与相对湿度的关系系数需要调整,应更利于云的生成。     

Impact of land surface processes on the South American warm season climate

The present study demonstrates that (1) the simulation of the South American warm season (December?CFebruary) climate by an atmospheric general circulation model (AGCM) is sensitive to the representation of land surface processes, (2) the sensitivity is not confined to the ??hot spot?? in Amazonia, and (3) upgrading the representation of those processes can produce a significant improvement in AGCM performance. The reasons for sensitivity and higher success are investigated based on comparisons between observational datasets and simulations by the AGCM coupled to either a simple land scheme that specifies soil moisture availability or to the Simplified Simple Biosphere Model (SSiB) that allows for consideration of soil and vegetation biophysical process. The context for the study is the UCLA AGCM. The most notable simulation improvements are along the lee of the Andes in the lower troposphere, where poleward flow transports abundant moisture from the Amazon basin to high latitudes, and in the monsoon region where the intensity and pattern of precipitation and upper level ice water content are more realistic. It is argued that a better depiction of the Chaco Low, which is controlled by local effects of land surface processes, decisively contributes to the superior model performance with low-level flows in central South America. The better representation of the atmospheric column static stability and large-scale moisture convergence in tropical South America contribute to more realistic precipitation over the monsoon region. The overall simulation improvement is, therefore, due to a combination of different regional processes. This finding is supported by idealized AGCM experiments.     

The role of shallow convection in the water and energy cycles of the atmosphere

The Canadian Centre for Climate Modelling and Analysis atmospheric general circulation model (AGCM4) is used to study the role of shallow convection in the hydrologic and energy cycles of the atmosphere. Sensitivity tests with AGCM4 show a marked effect of the parameterization of shallow convection in the model. In particular, including the parameterization of shallow convection produces considerably enhanced vertical mixing and decreased stratiform cloud amounts in the lower subtropical atmosphere over the oceans. The differences in simulated stratiform cloud amounts are associated with a change in the globally averaged outgoing shortwave radiative flux at the top of the atmosphere of about 11 W m⁻². Additionally, precipitation rates are considerably reduced for stratiform clouds and enhanced for convective clouds in the subtropics, if the parameterization of shallow convection is included in the model. Additional tests show that the simulated responses in cloud amounts and precipitation to the treatment of shallow convection are robust. Additional simulations with modified closures for deep convection and other changes to the treatment of convection in the model still lead to similar responses of the model results.     

Ocean–atmosphere coupling and the boreal winter MJO

The influence of ocean–atmosphere coupling on the simulation and prediction of the boreal winter Madden–Julian Oscillation (MJO) is examined using the Seoul National University coupled general circulation model (CGCM) and atmospheric—only model (AGCM). The AGCM is forced with daily SSTs interpolated from pentad mean CGCM SSTs. Forecast skill is examined using serial extended simulations spanning 26 different winter seasons with 30-day forecasts commencing every 5 days providing a total of 598 30-day simulations. By comparing both sets of experiments, which share the same atmospheric components, the influence of coupled ocean–atmosphere processes on the simulation and prediction of MJO can be studied. The mean MJO intensity possesses more realistic amplitude in the CGCM than in AGCM. In general, the ocean–atmosphere coupling acts to improve the simulation of the spatio-temporal evolution of the eastward propagating MJO and the phase relationship between convection (OLR) and SST over the equatorial Indian Ocean and the western Pacific. Both the CGCM and observations exhibit a near-quadrature relationship between OLR and SST, with the former lagging by about two pentads. However, the AGCM shows a less realistic phase relationship. As the initial conditions are the same in both models, the additional forcing by SST anomalies in the CGCM extends the prediction skill beyond that of the AGCM. To test the applicability of the CGCM to real-time prediction, we compute the Real-time Multivariate MJO (RMM) index and compared it with the index computed from observations. RMM1 (RMM2) falls away rapidly to 0.5 after 17–18 (15–16) days in the AGCM and 18–19 (16–17) days in the CGCM. The prediction skill is phase dependent in both the CGCM and AGCM.     

Microphysics of clouds at Kleiner Feldberg

During a field measuring campaign at Kleiner Feldberg (Taunus) in 1990, microphysical characteristics of clouds have been measured by Forward Scattering Spectrometer Probes (FSSP). The aim was to study the influence of aerosol and meteorological factors on droplet size and number. The results are: More mass in the accumulation size range of the aerosol leads to more droplets in stratocumulus clouds and to higher soluble masses in droplets of stratus clouds. However, the aerosol distribution was coarser in the stratus clouds compared to the stratocumulus clouds. Within the first 200 m from cloud base, the droplets grow while their number decreases. The growth results in a stable size of about 14 µm diameter over a large distance from cloud base in many stratocumulus clouds. Two types of mixing processes were observed: processes with reductions in the number of droplets (inhomogeneous mixing) and with reductions in the size of the droplets (homogeneous mixing).     

大气环流模式中云系的超级参数化方案及其特征线方法之研究

就大气环流模式中如何有效处理云系,我们的目标:建立能考虑各种尺度和各种过程之间相互作用的多重尺度云系动力学(下称:云系超级参数化),并应同时考虑如下云的几何学与辐射传输两个问题:1)云的几何学,考虑如何描写云内结构的三维不均匀性和表面特征的几何不光滑性;2)云的辐射,考虑复杂云结构的辐射计算问题,并最终在大气环流模式中具体实现.本研究是理论部分,主要论述云系超级参数化框架和计算方法问题,主要结论如下:1)阐明了从多重尺度角度研究大气模式中云系的超级参数化方案是完全必要的.2)本云系超级参数化方案是3维完全Euler流体方程组,保留了全Coriolis力,Ertel全PV守恒,考虑声波等对云和降水微物理过程的影响.该云系超级参数化方案需要与大气大尺度动力学方程组进行耦合.3)关键问题为确定云系局部解的存在时间长度,不必考虑整体解.因为在实际大气中各物理量的不光滑,甚至不连续和间断,是有充分的物理意义的.大气中的间断除粘性和热传导等不可逆过程外,同时伴随着成云致雨的相变过程.4)在可积性和连续性条件下,证明了特征线的存在性;在Lipshitz条件下,证明了特征线的存在性和唯一性.5)给出了特征线积分的Picard方法的具体计算步骤,并同时给出了特征线积分稳定步长的具体条件.6)沿着特征线,初始场随着时间的推移,将发生平移、旋转与纯变形三种位移的几何和,这就是球面上平流方程的保形问题.     

Cirrus cloud horizontal and vertical inhomogeneity effects in a GCM

Summary A set of the inhomogeneity factor for high-level clouds derived from the ISCCP D1 dataset averaged over a five-year period has been incorporated in the UCLA atmospheric GCM to investigate the effect of cirrus cloud inhomogeneity on climate simulation. The inclusion of this inhomogeneous factor improves the global mean planetary albedo by about 4% simulated from the model. It also produces changes in solar fluxes and OLRs associated with changes in cloud fields, revealing that the cloud inhomogeneity not only affects cloud albedo directly, but also modifies cloud and radiation fields. The corresponding difference in the geographic distribution of precipitation is as large as 7 mm day⁻¹. Using the climatology cloud inhomogeneity factor also produces a warmer troposphere related to changes in the cloudiness and the corresponding radiative heating, which, to some extent, corrects the cold bias in the UCLA AGCM. The region around 14 km, however, is cooler associated with increase in the reflected solar flux that leads to a warmer region above. An interactive parameterization for mean effective ice crystal size based on ice water content and temperature has also been developed and incorporated in the UCLA AGCM. The inclusion of the new parameterization produces substantial differences in the zonal mean temperature and the geographic distribution of precipitation, radiative fluxes, and cloud cover with respect to the control run. The vertical distribution of ice crystal size appears to be an important factor controlling the radiative heating rate and the consequence of circulation patterns, and hence must be included in the cloud-radiation parameterization in climate models to account for realistic cloud processes in the atmosphere.     

The impact of ocean–atmosphere coupling on the predictability of boreal summer intraseasonal oscillation

The impact of ocean–atmosphere coupling on the simulation and prediction of the boreal summer intraseasonal oscillation (ISO) has been investigated by diagnosing 22-year retrospective forecasts using the Seoul National University coupled general circulation model (CGCM) and its atmospheric GCM (AGCM) forced with SSTs derived from the CGCM. Numerous studies have shown that the ocean–atmosphere coupling has a significant effect on the improvement of ISO simulation and prediction. Contrary to previous studies, this study shows similar results between CGCM and AGCM, not only in regard to the ISO simulation characteristics but also the predictability. The similarities between CGCM and AGCM include (1) the ISO intensity over the entire Asian-monsoon region; (2) the spatiotemporal evolution of the northward propagating ISO (NPISO); and (3) the potential and practical predictability. A notable difference between CGCM and AGCM is the phase relationship between precipitation and SST anomalies. The CGCM and observation exhibits a near-quadrature relationship between precipitation and SST, with the former lagging about two pentads. The AGCM shows a less realistic phase relationship. The similar structure and propagation characteristics of ISO between the CGCM and AGCM suggest that the internal atmospheric dynamics could be more essential to the ISO than the ocean–atmosphere interaction over the Indian monsoon region.