Two-moment bulk stratiform cloud microphysics in the grid-point atmospheric model of IAP LASG (GAMIL)

A two-moment bulk stratiform microphysics scheme, including recently developed physically-based droplet activation/ice nucleation parameterizations has been implemented into the Grid-point Atmospheric Model of IAP LASG (GAMIL) as an effort to enhance the model’s capability to simulate aerosol indirect effects. Unlike the previous one-moment cloud microphysics scheme, the new scheme produces a reasonable representation of cloud particle size and number concentration. This scheme captures the observed spatial variations in cloud droplet number concentrations. Simulated ice crystal number concentrations in cirrus clouds qualitatively agree with in situ observations. The longwave and shortwave cloud forcings are in better agreement with observations. Sensitivity tests show that the column cloud droplet number concentrations calculated from two different droplet activation parameterizations are similar. However, ice crystal number concentration in mixed-phased clouds is sensitive to different heterogeneous ice nucleation formulations. The simulation with high ice crystal number concentration in mixed-phase clouds has less liquid water path and weaker cloud forcing. Furthermore, ice crystal number concentration in cirrus clouds is sensitive to different ice nucleation parameterizations. Sensitivity tests also suggest that the impact of pre-existing ice crystals on homogeneous freezing in old clouds should be taken into account.     

Climate sensitivity to cloud optical properties

A radiative–convective model was developed to investigate the sensitivity of climate to cloud optical properties and the related feedback processes. This model demonstrates that the Earth's surface temperature increases with cloud optical depth when the clouds are very thin but decreases with cloud optical depth when the cloud shortwave (solar) radiative forcing is larger than the cloud longwave (terrestrial) radiative forcing. When clouds are included in the model, the magnitude of the greenhouse effect due to a doubling of the CO₂ concentration varies with the cloudoptical depth: the thicker the clouds, the weaker the greenhouse warming. In addition, a small variation in the cloud droplet size has a larger impact on the equilibrium state temperature in the lower atmosphere than the warming caused by a doubling of the CO₂ concentration: a 2% increase in the average cloud droplet size per degree increase in temperature doubles the warming caused by the doubling of the CO₂ concentration. These findings suggest that physically reliable correlations between the cloud droplet size and macrophysical meteorological variables such as temperature, wind and water vapor fields are needed on a global climate scale to assess the climate impact of increases in greenhouse gases.     

基于CloudSat/CALIPSO卫星资料的青藏高原云辐射及降水的研究进展

青藏高原上空的云及其相关联的降水和辐射影响了高原上空非绝热加热的空间结构。2006年卫星发射升空的CloudSat/CALIPSO卫星提供了定量的、完整的云垂直结构信息。本文回顾了国内外基于该资料进行的青藏高原上云宏观和微观结构特征,云与降水相关性,云辐射效应以及模式中的云-辐射问题方面的研究。指出抬升的青藏高原上水汽较少,限制了高原上云的垂直高度,对云层厚度和层数有显著压缩作用。在云量及其季节变化上,单层云的相对贡献大于亚洲季风区的其他区域;夏季对流云比较浅薄,积云发生频率最高,云内滴谱较宽;降水云以积云和卷云为主,云对总降水的贡献随着云层数增多而减小,降水增强时高层冰粒子的密集度趋于紧密;夏季青藏高原地区云的净辐射效应在8 km高度存在一个厚度仅1 km左右但较强的辐射冷却层,而在其下（4~7 km高度之间）为强的辐射加热层。最后展望了未来需要进一步开展的研究。     

FGOALS2两个模式版本对青藏高原东侧冬季层云的模拟特征

冬季青藏高原东部（22°N～32°N，102°E～118°E）层云区是唯一存在于副热带陆地的层云密集区，环流特征较为复杂，大多数耦合气候系统模式对该地区层云的模拟存在较大的偏差。对该地区层云模拟能力的系统分析评估是改进模式性能的重要基础。本文基于国际卫星云计划（ISCCP）卫星资料，评估了中国科学院大气物理研究所两个版本的气候系统模式FGOALS-s2和FGOALS-g2的大气环流模式试验（AMIP）对青藏高原东侧层云的模拟能力。通过分析云辐射强迫等相关特征、大气环流、稳定度、以及地表气温和云的关系，探讨了模式偏差的可能原因。结果表明，两个模式都不同程度地低估了青藏高原东侧的低层云量和云水含量。在垂直结构模拟方面，FGOALS-s2模式能较好地模拟出高原东侧低云主导的特征，其模拟的云顶高度与卫星资料更为接近；而FGOALS-g2模式则高估了该地区的平均云顶高度。分析表明，两个模式均低估了高原东侧的低层稳定度，同时不同程度地低估了该地区中低层水平水汽输送，导致层云云量的模拟偏少。此外，FGOALS-g2高估了高原东侧的上升运动和垂直水汽输送，使得模拟的低云偏少而云顶高度偏高。     

新旧两个版本GAMIL模式对1997/98强E1 Ni(n)o年西太平洋暖池区独特云辐射强迫特征的数值模拟

1997/98年强E1 Ni(n)o背景下西太平洋暖池区云辐射强迫的变化,表现出诸多不同于以往的特征,已经成为检验气候模式性能的一个重要标准.本文基于卫星资料,分析了大气环流模式GAMIL1.0和2.0版对上述现象的模拟能力.结果表明,GAMIL1.0模式对热带地区云辐射特征分布,尤其对西太平洋暖池区的长(短)波云辐射...     

Sensitivity Study of Anthropogenic Aerosol Indirect Forcing through Cirrus Clouds with CAM5 Using Three Ice Nucleation Parameterizations

Quantifying the radiative forcing due to aerosol–cloud interactions especially through cirrus clouds remains challenging because of our limited understanding of aerosol and cloud processes. In this study, we investigate the anthropogenic aerosol indirect forcing (AIF) through cirrus clouds using the Community Atmosphere Model version 5 (CAM5) with a state-of-the-art treatment of ice nucleation. We adopt a new approach to isolate anthropogenic AIF through cirrus clouds in which ice nucleation parameterization is driven by prescribed pre-industrial (PI) and presentday (PD) aerosols, respectively. Sensitivities of anthropogenic ice AIF (i.e., anthropogenic AIF through cirrus clouds) to different ice nucleation parameterizations, homogeneous freezing occurrence, and uncertainties in the cloud microphysics scheme are investigated. Results of sensitivity experiments show that the change (PD minus PI) in global annual mean longwave cloud forcing (i.e., longwave anthropogenic ice AIF) ranges from 0.14 to 0.35 W m^–2, the change in global annual mean shortwave cloud forcing (i.e., shortwave anthropogenic ice AIF) from–0.47 to–0.20 W m^–2, and the change in net cloud forcing from–0.12 to 0.05 W m^–2. Our results suggest that different ice nucleation parameterizations are an important factor for the large uncertainty of anthropogenic ice AIF. Furthermore, improved understanding of the spatial and temporal occurrence characteristics of homogeneous freezing events and the mean states of cirrus cloud properties are also important for constraining anthropogenic ice AIF.     

GRAPES全球模式次网格对流过程对云预报的影响研究

50 km分辨率下的GRAPES全球模式对赤道及低纬度地区云水、云冰、云量和格点降水的预报较实际观测偏少。为解决这一问题,在模式原有的格点尺度云方案基础上,将次网格对流过程的影响作为源汇项,加入到云水、云冰和总云量的预报方程中。结合云和地球辐射能量系统(CERES)与热带降雨测量(TRMM)等卫星云观测资料,进行了改进后的云方案与原云方案预报结果的对比分析。结果显示,考虑了对流对格点尺度云含水量和云量预报的影响后,GRAPES全球模式预报的云和格点降水在赤道及低纬度地区有明显改善,水凝物含水量和总云量的预报结果与实况较为接近,格点降水在总降水中的比例由原来的5%提高到25%。研究进一步表明,次网格对流过程对格点尺度云和降水的影响取决于上升气流质量通量的分布和强度,上升气流的质量通量在对流活动强烈的低纬度热带地区较强,其最大值出现在650—450 hPa高度,因此,次网格对流的卷出过程对中云的影响最为明显。对高云和低云也有一定程度的影响,使云顶变高,云底变低。     

基于亮温通道变率的FY-3C微波湿度计陆地云检测新方法

云检测是卫星资料同化的重要前处理步骤,无论是晴空资料同化还是有云资料同化,都需要准确地区分有云和晴空资料。由于陆地地表发射率的多变性和微波能穿透部分云类的特点,微波湿度计资料在陆地上空的云检测研究一直是难点。利用快速辐射传输模式（CRTM）分析了不同云类条件下FY-3C微波湿度计（MWHS-Ⅱ）各通道亮温的通道间变率特征,根据MWHS-Ⅱ亮温通道间变率随云高以及云中液态水含量的增大而减小的特点,提出了一个基于亮温通道变率的MWHS-Ⅱ陆地资料云检测方法。与已有的云产品比较结果表明:新的云检测算法能有效地剔除大部分受云影响的资料,剔除后的晴空资料观测和模拟偏差更好地符合高斯分布。新方法对过冷水云、冰云、重叠云的检测能力较强,正确检测率可以达到80%,对卷云以及高度较低的水云的检测能力相对较弱。新方法能有效利用MWHS-Ⅱ观测资料自身完成云检测,在MWHS-Ⅱ资料同化中有很好的应用前景。      

中国东部和印度季风区云辐射特性的比较

基于 ＩＳＣＣＰ和 ＥＱＢＥ资料,本文比较了中国东部和印度季风区的云和云辐射强迫的气候特征。虽然它们同属于亚洲季风区,并且有相似的降水季节特征,但它们各自的云和云辐射强迫特征差异很大。在印度区域,所有的云量有着相同的季节变化,最大云量分布都出现在夏季,且总云量中以高云量为主。而中国东部云量的季节变化都比较复杂,在总云量中以中、低云量为主,最大总云量出现在春季。冬季的总云量和中、低云量要大于夏季。在全球云量分布中,中国东部最典型的特征是：该地区为全球最大的雨层云覆盖区。与云的分布和变化相关,印度季风区最大的负短波云辐射强迫,最大的正的长波辐射强迫和最大的负的净云辐射强迫发生在夏季,而在中国东部,大的负的短波云辐射强迫发生在春夏之交。年平均的负的短波云辐射强迫在中国东部地区明显要大于在印度季风区。     

The simulation of Arctic clouds and their influence on the winter surface temperature in present-day climate in the CMIP3 multi-model dataset

We investigate the influence of clouds on the surface energy budget and surface temperature in the sea-ice covered parts of the ocean north of the Arctic circle in present-day climate in nine global climate models participating in the Coupled Model Intercomparison Project phase 3, CMIP3. Monthly mean simulated surface skin temperature, radiative fluxes and cloud parameters are evaluated using retrievals from the extended AVHHR Polar Pathfinder (APP-x) product. We analyzed the annual cycle but the main focus is on the winter, in which large parts of the region experience polar night. We find a smaller across-model spread as well as better agreement with observations during summer than during winter in the simulated climatological annual cycles of total cloudiness and surface skin temperature. The across-model spread in liquid and ice water paths is substantial during the whole year. These results qualitatively agree with earlier studies on the present-day Arctic climate in GCMs. The climatological ensemble model mean annual cycle of surface cloud forcing shows good agreement with observations in summer. However, during winter the insulating effect of clouds tends to be underestimated in models. During winter, most of the models as well as the observations show higher monthly mean total cloud fractions, associated with larger positive surface cloud forcing. Most models also show good correlation between the surface cloud forcing and the vertically integrated ice and liquid cloud condensate. The wintertime ensemble model mean total cloud fraction (69%) shows excellent agreement with observations. The across-model spread in the winter mean cloudiness is substantial (36?C94%) however and several models significantly underestimate the cloud liquid water content. If the two models not showing any relationship between cloudiness and surface cloud forcing are disregarded, a tentative across-model relation exists, in such a way that models that simulate large winter mean cloudiness also show larger surface cloud forcing. Even though the across-model spread in wintertime surface cloud forcing is large, no clear relation to the surface temperature is found. This indicates that other processes, not explicitly cloud related, are important for the simulated across-model spread in surface temperature.     

A three-dimensional study of mesoscale model response to radiative forcing

An infrared radiation parameterization has been applied to a detailed three-dimensional mesoscale model in order to determine whether radiative forcing significantly affects mesoscale atmospheric processes. By taking into account water vapor, liquid water, and carbon dioxide absorption, the scheme differentiates between cloud and clear air regions. The parametric model is presented, along with an overview of the associated mesoscale model.Comparisons between a control run in which only a uniform cooling rate of l K day^–1 is specified, and runs with the infrared scheme are made for 12-hr simulations. The major feature of the radiative forcing is seen to be strong cloud-top cooling. This leads to enhanced destabilization of the upper cloud layer, which in turn results in faster growth of clouds (and which extend to higher levels) than in the control experiment. The deeper clouds force a more vigorous secondary circulation, in which thermodynamic feedbacks between clouds and their environment are substantially stronger than in the case with only a constant cooling rate. This confirms findings made in previous studies undertaken in small-scale numerical models. The discussion also focuses upon a simulation in which the cloud-top infrared cooling has been smoothed out over neighboring vertical levels, in order to represent a cloud-top height distribution crudely. The results indicate that although the absolute values of cloud-top cooling are reduced with respect to the unfiltered case, the fact that cooling extends even higher than previously predicted leads to the formation of thicker, more vigorous clouds. These clouds interact more intensely with their environment than in the unfiltered situation, thereby considerably modifying the mesoscale atmosphere.     

一维辐射-对流模式对云辐射强迫的数值模拟研究

利用一维辐射－对流气候模式, 详细研究了云量、云光学厚度以及云高等要素的变化对大气顶和地面太阳短波辐射和红外长波辐射通量以及云的辐射强迫的影响, 给出了计算这些物理量的经验拟合公式。结果表明, 云具有极为重要的辐射－气候效应。云量、云光学厚度以及云高即使只有百分之几的变化, 所带来的辐射强迫也可以与大气二氧化碳浓度加倍所产生的辐射强迫（3.75 W/m2）相比拟。例如, 当分别给它们+3%的扰动时, 即取云量变化0.015, 云光学厚度变化0.27, 以及云高变化0.15 km时（在实际的地球大气中, 这种尺度的变化是完全可能发生的）, 那么,可以得到地气系统的太阳短波辐射强迫-3.10 W/m2以及红外长波辐射强迫-1.77 W/m2, 二者之和为-4.78 W/m2, 已经完全可以抵消大气二氧化碳浓度加倍所产生的辐射强迫。但是, 当云量、云光学厚度以及云高向相反方向产生类似扰动时, 所产生的辐射强迫可能极大地放大二氧化碳浓度增加所产生的增强温室效应。因此, 研究结果揭示出, 不管是为了解释过去的气候变化, 还是预测未来的气候变化, 亟待加强在一个变化了的气候环境（例如地面温度升高）下, 云将发生何种变化的研究。     

Insights into Convective-scale Predictability in East China: Error Growth Dynamics and Associated Impact on Precipitation of Warm-Season Convective Events

This study investigated the regime-dependent predictability using convective-scale ensemble forecasts initialized with different initial condition perturbations in the Yangtze and Huai River basin(YHRB) of East China. The scale-dependent error growth(ensemble variability) and associated impact on precipitation forecasts(precipitation uncertainties) were quantitatively explored for 13 warm-season convective events that were categorized in terms of strong forcing and weak forcing. The forecast err...     

Effects of Clouds and Aerosols on Surface Radiation Budget Inferred from DOE AMF at Shouxian, China

Based on data collected during the first U.S.Department of Energy(DOE) Atmospheric Radiation Measurement(ARM) field campaigns at Shouxian,eastern China in 2008,the effects of clouds and aerosols on the surface radiation budget during the period October-December 2008 were studied.The results revealed that the largest longwave(LW),shortwave(SW),and net Aerosol Radiative Effects(AREs) are 12.7,-37.6,and-24.9 W m-2,indicating that aerosols have LW warming impact,a strong SW cooling effect,and a net cooling effect on the surface radiation budget at Shouxian during the study period 15 October-15 December 2008.The SW cloud radiative forcing(CRF) is-135.1 W m-2,much cooler than ARE(about 3.6 times),however,the LW CRF is 43.6 W m-2,much warmer than ARE,and resulting in a net CRF of-91.5 W m-2,about 3.7 times of net ARE.These results suggest that the clouds have much stronger LW warming effect and SW cooling effect on the surface radiation budget than AREs.The net surface radiation budget is dominated by SW cooling effect for both ARE and CRF.Furthermore,the precipitatable clouds(PCs) have the largest SW cooling effect and LW warming effect,while optically thin high clouds have the smallest cooling effect and LW warming on the surface radiation budget.Comparing the two selected caseds,CloudSat cloud radar reflectivity agrees very well with the AMF(ARM Mobile Facility) WACR(W-band ARM Cloud Radar) measurements,particularly for cirrus cloud case.These result will provide a ground truth to validate the model simulations in the future.     

一次沙尘暴过程中沙尘气溶胶对云物理量和辐射强迫的影响

利用MOD IS Aqua卫星反演和装载在Aqua上的CERES仪器观测资料,讨论了我国北方地区2004年3月26~28日沙尘暴过程中沙尘气溶胶对云物理特性和辐射强迫的影响。初步结果表明,沙尘气溶胶明显改变了云的物理特性,使云滴变小,含水量及光学厚度减少,减弱了云的净辐射强迫,云的冷却效应受到了抑制,相当于大气层顶沙尘气溶胶的增温作用。     

Mesoscale modeling of katabatic winds over Greenland and comparisons with AWS and aircraft data

Summary Simulations of the katabatic wind system over the Greenland ice sheet for the two months April and May 1997 were performed using the Norwegian Limited Area Model (NORLAM) with a horizontal resolution of 25 km. The model results are intercompared and validated against observational data from automatic weather stations (AWS), global atmospheric analyses and instrumented aircraft observations of individual cases during that period. The NORLAM is able to simulate the synoptic developments and daily cycle of the katabatic wind system realistically. For most of the cases covered by aircraft observations, the model results agree very well with the measured developments and structures of the katabatic wind system in the lowest 400 m. Despite NORLAM’s general ability of reproducing the four-dimensional structure of the katabatic wind, problems occur in cases, when the synoptic background is not well captured by the analyses used as initial and boundary conditions for the model runs or where NORLAM fails to correctly predict the synoptic development. The katabatic wind intensity in the stable boundary layer is underestimated by the model in cases when the simulated synoptic forcing is too weak. An additional problem becomes obvious in cases when the model simulates clouds in contrast to the observations or when the simulated clouds are too thick compared to the observed cloud cover. In these cases, the excessive cloud amount prevents development of the katabatic wind in the model. Received September 22, 2000/Revised March 16, 2001     

CloudSat卫星及其在天气和云观测分析中的应用

介绍了2006年4月28日成功发射的第1颗以对云层特性进行全球主动遥感测量CloudSat卫星的观测仪器、工作参数、运行方式、数据产品及“A—Train”卫星群等基本概况。CloudSat卫星主要有效载荷是94GHz（3mm波）云雷达,它可以“切开”云层,获得许多有关云的最新气象数据,主要数据产品包括了云的宏观物理参量和微观物理参量。介绍了CloudSat卫星已获得的典型天气和云的初期观测结果：从首次观测的云三维图片,可以清楚地看到南极洲上空风暴云的垂直剖面结构特征;从首张获得降雪云的垂直剖面图像可以得到降雪云层的发展状态以及结构特点;使用CloudSat统计数据可分析全球水凝物的分布特征。将TRMM卫星上的测雨雷达与CloudSat卫星上的云雷达联合观测研究,可以获得从薄云到浓厚云及降水的精细垂直结构特征。通过下载的CloudSat观测资料,对我国典型台风和层状云系等两类不同天气条件下云的宏微观结构特征等进行了初步分析,可以看到台风眼区附近云系的垂直结构随台风发展不同阶段的演变;从层状云系的垂直剖面可以清楚地发现云层的内部分层结构及不同相态的垂直分布特征等。     

用GMS卫星资料研究我国东南部夏季短波云辐射强迫

利用中分辨率辐射计算模式（MODTRAN3）、站点的温压湿探空资料和美国标准大气的气溶胶、臭氧和微量气体参数，计算出无云情况下的地面总辐射，再与实测地面总辐射结合得出云对太阳的辐射强迫。同时利用GMS卫星资料反演出云辐射参数——反照率和亮温，分析了短波云辐射强迫和云辐射参数的关系，建立了两者的回归模式，用于估算地面资料缺少地区的短波云辐射强迫。     

2017年5月7日广州特大暴雨模拟中的背景场影响分析

2017年5月7日广州发生了特大暴雨,为研究不同背景场资料对这次暴雨过程的影响,模式背景场分别采用美国NCEP的GFS资料和中国的T639资料,利用GRAPES_Meso模式对这次暴雨过程进行了数值模拟和影响分析;数值试验结果表明,采用不同的背景场对这次暴雨过程具有显著影响,用T639资料(T639_run)作为模式背景场大致模拟出了这次暴雨过程,而采用NCEP GFS数据(GFS_run)模拟的降水明显偏北。其原因是,采用T639资料做背景场时,华南暴雨区域存在深厚的水汽输送,同时存在强烈的上升运动,可以产生极端强降水;而采用GFS资料进行数值模拟时,实际暴雨区上空的上升气流较弱,水汽输送也较弱,使强降水落区偏北。GRAPES_Meso模式模拟的华南地区的云顶高度整体偏高,云顶温度整体偏低,相对来说,采用T639_run的模拟结果优于GFSrun的结果,该研究结果可以为云降水方案中的水物质和云量计算方案的改进和优化提供一定的参考。