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1.
沙尘气溶胶辐射强迫全球分布的模拟研究 总被引：7，自引：2，他引：5
为了定景了解沙尘气溶胶对气候的影响,文中利用一个改进的辐射传输模式,结合伞球气溶胶数据集(G-ADS),计算了晴空条件下,冬夏两季沙尘气溶胶的直接辐射强迫在对流层顶和地面的全球分布,并讨论了云对沙尘气溶胶辐射强迫的影响.计算结果表明,对北半球冬季和夏季而言,在对流层顶沙尘气溶胶的全球短波辐射强迫的平均值分别为-0.477和-0.501 W/m2;长波辐射强迫分别为0.11和0.085 W/m2;全球平均短波地面辐射强迫冬夏两季分别为-1.362和-1.559 W/m2;长波辐射强迫分别为0.274和0.23 W/m2.沙尘气溶胶在对流层顶和地面的负辐射强迫的绝对值郁随太阳天顶角的余弦和地表反照率的增加而增大;地表反照率对沙尘气溶胶辐射强迫的强度和分布都有重要影响.研究指出:云对沙尘气溶胶的直接辐射强迫的影响不仅取决于云量,而且取决于云的高度和云水路径,以及地面反照率和太阳高度角等综合因素.中云和低云对沙尘气溶胶在对流层顶的短波辐射强迫的影响比高云明显.云的存在都使对流层顶长波辐射强迫减少,其中低云的影响最为明显.因此,在估算沙尘气溶胶总的直接辐射强迫时,云的贡献不可忽视. 相似文献
2.
一维辐射对流模式对云-辐射强迫的数值模拟研究 总被引：1，自引：9，他引：1
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。 相似文献
3.
准确估算青藏高原的云辐射效应,对分析该地区的近地面感热通量十分重要。本文首先利用加权平均方法,分别将中分辨率成像光谱仪(MODIS)、测云雷达(CPR)和云与地球辐射能量系统(CERES)的像元数据进行融合。利用这些数据,分析了青藏高原上多云个例(2017年5月5日)与少云个例(2017年8月2日)情况下的可见光通道和热红外通道的信号、云参数和大气长短波辐射强迫等的差异。研究表明,少云时高原地区的大气顶大气长波辐射强迫为108.3 W·m-2,多云时为104.5 W·m-2。同时少云个例中塔里木盆地的大气顶大气长波辐射强迫为200.7 W·m-2,表明该辐射强迫受到地表热力状况影响较大。深厚与浅薄云区的云顶高度相差不大,但多云个例中深厚云区的短波辐射强迫是浅薄云区的2倍多,这一比例远大于长波。这表明短波辐射强迫对云厚度较敏感。最后,本文分析了CERES观测的大气顶长短波辐射分别与MODIS热红外和可见光通道之间的关系,结果表明它们存在很好的相关性(相关系数超过0.95),MODIS的可见光通道可以用于估算大气顶的短波辐射量,而MODIS的热红外通道只可用来估算云区的大气顶长波辐射量。 相似文献
4.
用GMS卫星资料研究我国东南部夏季短波云辐射强迫 总被引：2，自引：0，他引：2
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。 相似文献
5.
中国地区云对地气系统太阳短波吸收辐射强迫的气候研究 总被引：6，自引：0，他引：6
本文利用地球辐射平衡试验（ＥＲＢＥ）和国际卫星云气候计划（ＩＳＣＣＰ）提供的总云量、行星反射率资料,计算并分析了我国年、月平均云对地气系统太阳短波吸收辐射的强迫及其敏感性系数,揭示了它们之间的关系,最后绘制了地气系统短波辐射云强迫的全国分布图。结果表明：我国地气系统短波辐射云强迫及其敏感性系数都与总云量有较好的非线性相关,呈幂指数形式,且季节变化明显。短波辐射云强迫的地理分布与总量配合较好。 相似文献
6.
青藏高原云对地气系统短波吸收辐射强迫的气候研究 总被引：3，自引：3，他引：0
利用地球辐射平衡试验（ＥＲＢＥ）和国际卫星云气候计划（ＥＳＣＣＰ）提供的总云量、得星反射率资料,计算并分析了青藏高原地气系统年、月平均云对太阳短波吸收辐射的强迫,揭示了其与总云量的关系。结果表明：高原的短事射云强迫与总云量有较好的非线性相关,呈幂指数形式,且季节变化明显;短波辐射云强迫的地理分布与高原云的分产好,高原主体和北部是短波辐射云强迫的低值区,高原东南部和西部边缘迎风部位为强迫的高值区。 相似文献
7.
东莞观测站采用地面辐射基准站网(BSRN)通用的荷兰Kipp & Zonen设备,进行太阳短波辐射和地面、大气长波辐射观测。利用2010年8月—2011年7月的观测数据,用统计分析的方法,得到地面太阳短波辐射和地面、大气长波辐射强度的变化特征,并初步分析了影响辐射强度变化的因子。结果表明,东莞市各月的太阳总辐射平均值呈现单峰值变化,且夏季＞秋季＞春季＞冬季,短波辐射各分量的日变化也呈明显单峰型变化特征;长波辐射的日、月变化趋势较平缓;东莞市全年各月净辐射通量平均值均为正值。云是影响太阳辐射强度变化的显著因子,对直接辐射的衰减更明显,多云天气的总辐射、直接辐射全年平均衰减率分别为11%、34%,阴天总辐射、直接辐射全年平均衰减率分别达到47%、83%。大气透明度对短波辐射和长波辐射强度变化均产生影响,无霾日总辐射、直接辐射、反射辐射强度均比灰霾日强,而散射辐射则较弱,灰霾日的天空长波辐射及地面长波辐射强度稍强于无霾日。还探讨了总辐射观测值与理论值的差异,推测水汽对短波辐射的衰减是造成太阳短波辐射平衡存在差异的原因之一。 相似文献
8.
我们利用在中国西部黑河流域所进行的陆气相互作用实验的预试验期间地面和卫星观测资料，研究了在于旱地区地表辐射收支演算中所遇到的困难。通过理论辐射传输计算和用卫星资料对云的反演可以得到地表辐射。计算结果与地表测量的太阳辐射和红外辐射比较表明在有些情况下会发生较大的误差。误差主要是由于缺乏气溶胶资料．云反演时的不确定性以及地面观测与卫星测量之间的时间差异所引起。在无云情况下，模式计算的太阳辐射通量系统大于测量值，当地面温度大于50℃和由于不稳定边界层造成尘埃古量大时计算误差特别大，误差的原因是计算中没有考虑气溶胶．我们发现在下午当气溶胶单次散射反射率取为9．5．光学厚度近似地取为0．2时计算误差可以减小，计算的地面太阳辐射通量和实测值比较一致，然而在大气中太阳辐射如此强的吸收原因仍不清楚．对地面测量和卫星测量资料都可以用的个例研究结果表明，地表净太阳辐射通量和红外向下辐射通量的平均误差分别为4．3和-4.7W／m^2．相应的均方根误差分别为17．4和22．1W／m^2．较大的误差出现在云量较少时，这可能是反演中误把气溶胶当成了云所造成的．研究结果强调了气溶胶在地表辐射计算中的重要性。同时，由于该地区地表温度的日变化非常大，而地面红外辐射的计算，要求温度测量有较高的时间分辨率，因此在干旱地区地面辐射计算中，从卫星资料反演气溶胶和地面温度应予以最优先考虑． 相似文献
9.
利用MODIS数据反演多层云光学厚度和有效粒子半径 总被引：2，自引：0，他引：2
利用卫星资料反演云微物理参数不仅有助于对天气变化的监测和预报,而且对人工影响天气的研究十分有益.目前卫星反演云微物理参数的算法一般是假设视场中只有一层云,但是实际环境中多层云出现很频繁.文中研究了多层云的光学厚度和有效粒子半径微物理参数的反演算法,主要针对薄的冰云覆盖在低层水云的多层云情形.算法利用中分辨率成像光谱仪(MODIS)吸收通道和非吸收通道同时进行反演,在此基础上利用SBDART辐射传输模式模拟冰云覆盖在低层水云上的多层云对云微物理参数反演的影响,模拟表明反演时将多层云作为单层云处理会使反演结果产生较大误差.为此,文中提出了云光学厚度和有效粒子半径反演算法中要考虑多层云的因素,并设计了一套云光学厚度和有效粒子半径反演方案.该方案使用SBDART辐射传输模式建立不同观测几何条件、下垫面类型、大气环境等条件下以光学厚度和有效粒子半径为函数变量的多层云、水云和冰云辐射查找表.经过云检测、云相态识别和多层云检测后,在该查找表的基础上,对MODIS通道1和通道7的数据采用最小方差拟合法反演光学厚度、有效粒子半径.利用该方案对2006年7月12日TERRA卫星MODIS数据进行反演试验,反演结果与NASA发布的MOD06产品中云的光学厚度和有效粒子半径的结果较一致,表明方案具有合理性. 相似文献
10.
为了从毫米波雷达观测数据准确反演云中液态水路径,利用中国区域飞机探测资料得到的云粒子谱参数,基于2008年寿县ARM-AMF地基毫米波云雷达观测,针对层状云采用不同的云粒子谱参数假定,由物理迭代法和经验关系法反演云中液态水路径,并与地基微波辐射计的云水产品进行对比,开展了基于地基毫米波雷达的层状云液态水路径反演算法的对比分析。结果表明,反演结果与谱参数的选取以及云的特征密切相关,但物理迭代法总体上优于传统的经验关系法且前者对谱参数假定的依赖性相对较弱;基于中国区域的飞机探测资料得到的谱参数能够得到更优的反演结果;云中可能存在的大粒子是云雷达液态水路径反演高估的可能原因之一。最后,提出了基于云特征的谱参数选择方案,显著改进了云中液态水路径的反演结果。 相似文献
11.
结合Cloud Sat对云的主动观测和MODIS(MODerate-Resolution Imaging Spectroradiometer)对气溶胶的被动反演,研究了典型站点气溶胶对云的宏观、微观和辐射特性的影响。结果表明,气溶胶对大陆性和海洋性站点的云均有显著影响。1)随气溶胶光学厚度(Aerosol Optical Depth,AOD)增加,水汽含量较弱站点的低层(高层)云量呈减小(增加)趋势,而水汽条件较强站点的各层云量均增大,且具有较高(较低)云顶的云层发生概率在各个站点都呈增加(减小)趋势。2)AOD的增大导致各站点云滴和冰晶粒子的有效半径均减小、大气层顶的短波和长波云辐射强迫均增强、短波云辐射强迫绝对值的加强更显著、长波云辐射强迫增加的幅度相对更大。3)气象要素在AOD大(小)值情况下的变化表明,大尺度动力条件并不能解释云的上述特性随AOD的显著改变。 相似文献
12.
不同形状冰晶权重假定对冰云光学和辐射特性的影响 总被引：1，自引：0，他引：1
在BCC_RAD辐射传输模式和包含多形状冰晶粒子的冰云光学性质参数化方案的基础上,详细分析了不同冰晶粒子权重选取对冰云光学和辐射特性的影响。结果显示,不同形状冰晶粒子权重的选取对长波带平均消光系数、单次散射比、不对称因子和短波带平均不对称因子均有较大的影响。冰晶粒子权重选取对长波辐射通量有很大影响:对长波向下辐射通量,权重选择不同可在云底处造成高达10.50 W/m2的差别;对长波向上辐射通量,权重选择不同可在云顶处造成高达15.05 W/m2的差别。冰晶粒子权重选择对短波辐射通量也存在较大影响:对短波向下辐射通量,权重选择不同可在云底处造成高达12.48 W/m2的差别;对短波向上辐射通量,权重选择不同可在云顶处造成高达10.23 W/m2的差别。冰晶粒子权重选择对长波加热率影响较大,在云顶处和云底处分别可达1.31和-2.06 K/d。研究表明,不同形状冰晶粒子权重的选取对冰云光学性质和辐射计算均有较大的影响,在长波区间尤其明显。 相似文献
13.
Values of downward and upward flux densities of solar and terrestrial radiation were continuously recorded between 1 December 2001 and 30 November 2002 using a four-components radiometer at S. Pietro Capofiume (SPC) in northern Italy (44°39′N, 11°37′E, alt. 11 m a.m.s.l.), which is characterized by a weakly-reflective surface. The aim of the study was to investigate the effects of clouds on surface radiation balance (SRB); the cloud fraction (N) has been retrieved through the inverted form of the parameterization proposed by Kasten and Czeplak [Solar Energy 24 (1980) 177] and cloud types estimated following the methodology of Duchon and O'Malley [J. Appl. Meteorol. 38 (1999) 132]. The cloud radiative forcing (CRF) was evaluated through the Bintanja and Van den Broeke [Int. J. Climatol. 16 (1996) 1281] formula and then associated with cloud type. Experimental results showed that during the measuring period the net shortwave (Sw) balance always decreased with increasing N, whereas the net longwave (Lw) balance increased in all seasons. The net radiation available at the surface decreased with increasing N in all seasons except in winter, where no significant dependency was detected.The analysis of the cloud radiative forcing indicates that all seasons were characterized by a net cooling of the surface except winter, where clouds seem to have no effects on the surface warming or cooling. Taking into account the dependence on solar radiation cycle, an intercomparison between the retrieved cloud types seems to indicate that the effect of stratus was a slight cooling whereas that of cumulus clouds was a stronger cooling of the surface. On the contrary, cirrus clouds seem to have slight warming effect on the surface.The annual trends of mean monthly values of shortwave and longwave radiation balances confirmed that the measurement site is characterized by a temperate climate. Moreover, in spite of the cooling effect of clouds, a monthly radiative energy surplus is available all year long for surface–atmosphere energy exchanges. The analysis is also instrumental for the detection of SRB variations. 相似文献
14.
利用卫星和再分析数据,评估了区域气候模式Reg CM4对中国东部地区辐射收支的基本模拟能力,重点关注地表净短波(SNS)、地表净长波(SNL)、大气顶净短波(TNS)、大气顶净长波(TNL)4个辐射分量。结果表明:1)短波辐射的误差值在夏季较大,而长波辐射的误差值在冬季较大。但各辐射分量模拟误差的空间分布在冬、夏季都有较好的一致性。2)对于地表辐射通量,SNS表现为正偏差(向下净短波偏多),在各分量中误差最大,区域平均误差值近50 W/m2;SNL表现为负偏差(向上净长波偏多);对于大气顶辐射通量,TNS和TNL分别表现为"北负南正"的误差分布和整体正偏差。3)利用空间相关和散点线性回归方法对4个辐射分量的模拟误差进行归因分析,发现在云量、地表反照率、地表温度三个直接影响因子中,云量模拟误差的贡献最大,中国东部地区云量模拟显著偏少。 相似文献
15.
The radiative energy exchange between arctic sea-ice and stratiform clouds is studied by means of aircraft measurements and a two-stream radiation transfer model. The data have been obtained by flights of two identically instrumented aircraft during the Radiation and Eddy Flux Experiments REFLEX I in autumn 1991 and REFLEX II in winter 1993 over the arctic marginal ice zone of Fram Strait. The instrumental equipment comprised Eppley pyranometers and pyrgeometers, which measure the solar and terrestrial upwelling and downwelling hemispheric radiation flux densities, and a line-scan-camera on one aircraft to monitor the surface structure of the sea-ice. An empirical parametrization of the albedo of partly ice-covered ocean surfaces is obtained from the data, which describes the albedo increasing linearly with the concentration of the snow-covered sea-ice and with the cosine of the sun zenith angle at sun elevations below 10°. Cloud optical parameters, such as single scattering albedo, asymmetry factor and shortwave and longwave height-dependent extinction coefficient are determined by adjusting modeled radiation flux densities to observations. We found significant influence of the multiple reflection of shortwave radiation between the ice surface and the cloud base on the radiation regime. Consistent with the data, a radiation transfer model shows that stratus clouds of 400 m thickness with common cloud parameters may double the global radiation at the surface of sea-ice compared to open water values. The total cloud-surface-albedo under these circumstances is 30% larger over sea-ice than over water. Parametrizations of the global and reflected radiation above and below stratus clouds are proposed on the basis of the measurements and modeling. The upwelling and downwelling longwave emission of stratus clouds with thicknesses of more than 500 m can be satisfactorily estimated by Stefan's law with an emissivity of nearly 1 and when the maximum air temperature within the cloud is used. 相似文献
16.
Yuan WANG Jonathan M.VOGEL Yun LIN Bowen PAN Jiaxi HU Yangang LIU Xiquan DONG Jonathan H.JIANG Yuk L.YUNG Renyi ZHANG 《大气科学进展》2018,35(2):234-247
Aerosol–cloud–radiation interactions represent one of the largest uncertainties in the current climate assessment. Much of the complexity arises from the non-monotonic responses of clouds, precipitation and radiative fluxes to aerosol perturbations under various meteorological conditions. In this study, an aerosol-aware WRF model is used to investigate the microphysical and radiative effects of aerosols in three weather systems during the March 2000 Cloud Intensive Observational Period campaign at the US Southern Great Plains. Three simulated cloud ensembles include a low-pressure deep convective cloud system, a collection of less-precipitating stratus and shallow cumulus, and a cold frontal passage. The WRF simulations are evaluated by several ground-based measurements. The microphysical properties of cloud hydrometeors, such as their mass and number concentrations, generally show monotonic trends as a function of cloud condensation nuclei concentrations.Aerosol radiative effects do not influence the trends of cloud microphysics, except for the stratus and shallow cumulus cases where aerosol semi-direct effects are identified. The precipitation changes by aerosols vary with the cloud types and their evolving stages, with a prominent aerosol invigoration effect and associated enhanced precipitation from the convective sources. The simulated aerosol direct effect suppresses precipitation in all three cases but does not overturn the aerosol indirect effect. Cloud fraction exhibits much smaller sensitivity(typically less than 2%) to aerosol perturbations, and the responses vary with aerosol concentrations and cloud regimes. The surface shortwave radiation shows a monotonic decrease by increasing aerosols, while the magnitude of the decrease depends on the cloud type. 相似文献
17.
Cloud radiative kernels were built by BCC_RAD(Beijing Climate Center radiative transfer model) radiative transfer code. Then, short-term cloud feedback and its mechanisms in East Asia(0.5°S-60.5°N, 69.5°-150.5°E) were analyzed quantitatively using the kernels combined with MODIS satellite data from July 2002 to June 2018. According to the surface and monsoon types, four subregions in East Asia—the Tibetan Plateau, northwest, temperate monsoon(TM), and subtropical monsoon(SM)—were selected. The average longwave, shortwave, and net cloud feedbacks in East Asia are-0.68 ± 1.20, 1.34 ± 1.08, and 0.66 ± 0.40 W m~(-2) K~(-1)(±2σ), respectively, among which the net feedback is dominated by the positive shortwave feedback. Positive feedback in SM is the strongest of all subregions, mainly due to the contributions of nimbostratus and stratus. In East Asia, short-term feedback in spring is primarily caused by marine stratus in SM, in summer is primarily driven by deep convective cloud in TM, in autumn is mainly caused by land nimbostratus in SM, and in winter is mainly driven by land stratus in SM. Cloud feedback in East Asia is chiefly driven by decreases in mid-level and low cloud fraction owing to the changes in relative humidity, and a decrease in low cloud optical thickness due to the changes in cloud water content. 相似文献
18.
Summary The distribution of cloud radiative forcing (CRF) at the top of the atmosphere over the Indian Ocean is investigated using satellite observations. Two key regions are considered: The eastern Indian Ocean and the Bay of Bengal which experience maximum upper-level cloudiness in winter and summer respectively. It is found that longwave CRF in the Bay of Bengal during summer is similar to that over the eastern Indian Ocean during winter. On the other hand shortwave CRF magnitude is larger in the Bay of Bengal. These differences explain the net CRF difference between the two regions. The stronger shortwave forcing seems to be related to the Upper-Level Cloudiness being larger over the Bay than over the eastern Indian Ocean. The reasons for the longwave CRF similarities are analysed in more details. Using the results from a convective system classification method, it is first shown that the longwave radiative properties of the individual systems do not vary much from one region to another. The distribution of the different kind of systems, a proxy for the vertical cloudiness structure, does not either indicate strong difference between the regions. It is then proposed that the substantial precipitable water vapour amount observed over the Bay of Bengal damps the effects of the upper-level cloudiness on radiation compared to the relatively dryer eastern Indian Ocean area; yielding to similar LW CRF in both region despite more Upper-Level Cloudiness over the Bay of Bengal. These observations are supported by idealised radiative transfer computations. The distribution of cloudiness and radiative forcing is then analysed over the whole tropical Indian Ocean for each season. July is characterized by a low longwave CRF regime (relative to January) over the most convectively active part of the Ocean. The non linear damping effect of water vapor on longwave CRF is also shown to contribute to this regime. Overall, this study reaffirms the need for simultaneous documentation of the cloud systems properties together with their moist environment in order to understand the overall net radiative signature of tropical convection at the top of the atmosphere (TOA). 相似文献