海-陆-气全球耦合模式能量收支的误差

通过分析GOALS模式两个版本GOALS 1.1和GOALS 2的能量收支 ,并与观测对比 ,结果表明 :模式模拟的地表净短波辐射通量在高纬地区偏低 ,而净长波辐射通量又偏高 ,导致极地表面温度偏低 ,感热通量在高纬地区为很高的负值。而在陆地上感热加热作用显著偏强 ,使地表有较大的向上净能量给大气 ,引起陆地上有些暖中心也偏强 ,这也解释了模式模拟地表面空气温度场的误差原因。海洋上潜热通量偏低 ,特别是在副热带洋面上偏少更明显。陆地上的欧亚和北美大陆大部分地区潜热通量仍偏低。这也是模式降水在大部分地区偏少的重要原因。两模式大气顶OLR偏低的模拟主要是在中低纬度 ,大气顶净短波辐射通量的模拟在中低纬度虽然与NCEP结果接近 ,但与地球辐射收支试验ERBE资料比较仍偏小较多 ,说明改进中低纬度云 辐射参数化方案对改进全球能量收支的模拟有重要意义。GOALS 2模式中诊断云方案模拟的云量除赤道地区外普遍偏小 ,尤以中纬度为甚 ,造成那里能量收支出现大的误差 ,这表明了更好的云参数化方案的引入是今后模式发展的重要任务之一     

辐射和积云对流过程对大气辐射通量的影响

基于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发展的全球大气环流谱模式(SAMIL-R42L26),研究了澳大利亚气象局研究中心(BMRC)新辐射方案和新Zhang-McFaflane积云对流方案对大气辐射通量模拟的影响.新辐射方案相比原辐射方案在辐射计算光谱分辨率、气体吸收和计算效率等方面作了很多改进,其对大气辐射通量的模拟能力相应提高.在晴空条件下,大气顶出射长波、大气吸收短波和地表入射短波等与观测的偏差较原辐射方案明显减小,尤其是在对流活跃区域.在云天条件下大气辐射通量与观测的偏差也较原辐射方案减小,但其偏差依然较大,这与模式中积云对流参数化方案模拟能力不足引起的辐射通量偏差有关.为此,换用了新Zhang-McFarlane积云对流方案,其结果表明,对流活跃区水汽含量显著增加,原对流方案中偏强的"双赤道辐合带"现象明显减弱,赤道辐合带地区的大气辐射通量偏差有明显减小,在海洋地区晴空大气顶出射长波和地表入射短波的量值及空间分布均接近观测结果,同时大气顶全球平均能量收支的年变化和观测结果趋于一致,其中模拟的伞球年平均大气顶能量收支和观测的偏差不到0.6 W/m2.试验结果同时表明,在未来研究中引入气溶胶分布、调整相关的云物理和陆面过程等物理参数化方案是进一步提高SAMIL-R42L26辐射通最模拟性能的关键.     

辐射参数化方案对一个海气耦合模式云和辐射模拟的影响

比较Morcrette辐射方案和Fu_Liou辐射方案对NCC/IAP T63海气耦合模式云和辐射模拟的影响, 结果表明:两种方案模拟的大气顶入射辐射存在明显的差异; 晴空大气Fu_Liou方案的短波吸收能力在全球普遍较Morcrette方案低; 在60°S~60°N之间, Fu_Liou方案模拟的行星反照率更接近于ERBE卫星观测; 在对大气顶净辐射的模拟上, 除了冬季的太平洋和大西洋东岸云量明显减少的部分地区外, Fu_Liou方案对大气顶净辐射的模拟总体上较Morcrette方案有了较为明显的改善; Fu_Liou方案模拟的海洋低层云显著减少, 而热带地区高云的模拟明显增加; 由于采用了“二元云量”算法, 尽管云量有所减少, Fu_Liou方案模拟的云短波吸收作用仍有所增强, 一定程度上改进了Morcrette方案云的短波吸收作用偏弱的现象。     

长波区间太阳辐射对气候模拟的影响

长波区间的太阳辐射在气候模式中往往被忽略。利用国家气候中心BCC_AGCM2.0.1大气环流模式,采用矩阵算子辐射传输算法,研究了长波区间太阳辐射对气候模式辐射通量和温度模拟结果的影响。结果表明,以ISCCP和CERES辐射资料为标准,考虑长波区间太阳辐射后,长波区间晴空大气地表向下辐射通量平均误差减小2.05 W/m2,均方根误差减少1.29 W/m2;长波区间晴空大气模式顶向上辐射通量平均误差减小0.70 W/m2,均方根误差减小0.21 W/m2;长波区间有云大气地表向下辐射通量平均误差减小1.38 W/m2,均方根误差减小1.03 W/m2;长波区间有云大气模式顶向上辐射通量平均误差减小0.99 W/m2,均方根误差减小0.30 W/m2。以ECMWF再分析资料为标准,考虑长波区间太阳辐射后,赤道地区上对流层—下平流层区域温度的冷偏差得到改善,对流层顶温度平均误差减小0.27 K,均方根误差减小0.25 K。     

新疆东部黑戈壁地表辐射及能量收支演变特征

新疆东部黑戈壁作为气候恶劣、人迹罕至的生态脆弱区，具有丰富的太阳能资源。利用红柳河陆气相互作用观测站2019年4、7、9月观测资料，分析东疆黑戈壁地表辐射及能量收支演变特征。结果表明：（1）地表辐射及能量收支各分量日变化均为单峰型。就不同季节而言，太阳总辐射和净辐射为夏季>春季>秋季，反射短波辐射为春季>夏季>秋季，地表和大气长波辐射为夏季>秋季>春季。（2）能量收支各分量季节变化明显，感热通量为春季>夏季>秋季，潜热通量为夏季>秋季>春季，地表土壤热通量为秋季>夏季>春季；能量分配在不同季节均以感热为主，地表土壤热通量次之，潜热通量极其微弱。（3）地表反照率日变化均为“U”型，在不同季节表现为春季>秋季>夏季，依次为0.29、0.27、0.26。东疆黑戈壁地表反照率整体较高，这是下垫面为黑色砾石所致。     

一个海气耦合模式模拟的云辐射过程

利用NCC/IAP T63海气耦合模式进行了20 a积分,详细分析了模式对云量及其辐射影响的模拟能力。结果表明,模式能够模拟出云量分布的基本特征,但同ISCCP卫星观测资料及ERA再分析资料相比还存在较大的差距,总体表现为模拟的云量偏小,尤其是海洋上部分地区出现了异常的低值区。通过对云量方案的改进,明显改善了两大洋东岸、夏半球副热带到中纬度海洋上空低云的模拟。但模式对热带印度洋到西太平洋地区云量的模拟仍然存在明显的偏差,这主要是由于模式对该地区强对流云模拟能力差,造成该地区高云模拟存在较大的误差。对辐射及其云辐射强迫的分析表明,模式对长波及其云辐射强迫的模拟要明显好于短波。短波辐射模拟的偏差主要是由于短波云辐射强迫模拟过小、耦合模式对积雪和海冰模拟较差、以及未考虑气溶胶的影响等原因共同引起的;而长波辐射模拟的差距主要是云量以及下垫面温度模拟不足造成的。相应于云量方案的改进,两大洋东岸、夏半球副热带到中纬度海洋上辐射(尤其是短波辐射)的模拟有了明显的改善,这也明显改进了这些地区的净辐射模拟。     

干旱区陆面过程模型参数优化和地气相互作用特征的模拟研究

依据干旱区陆地下垫面观测结果, 对陆面过程模式Common Land Model (CoLM) 中反照率、 粗糙度长度和土壤热力性质3个方面的参数进行了优化, 并按照不同的参数组合形式设计了为加深理解干旱区地气相互作用的控制试验和研究重要参数影响的敏感性试验, 对敦煌戈壁2000年5月～2004年7月的陆面过程进行了离线 (off-line) 数值模拟分析。控制试验结果表明: 优化参数的模式在干旱区得到了更好的模拟性能, 对地表和深层土壤温度、 净短波辐射、 净长波辐射以及感热通量的模拟能力较原模式有了明显的提高。敏感性试验的结果表明: 地表温度在全年对反照率都比较敏感, 春季和夏季更为显著; 粗糙度长度和土壤热力性质分别在春夏和秋冬对地表温度有较大影响; 感热通量对反照率和粗糙度长度在夏半年比较敏感, 而土壤热力性质对感热通量的影响并不明显。对敏感性试验的结果进一步分析发现: 原模式在计算地表温度、 净辐射和感热通量的过程中存在不同形式的误差抵消的现象, 这就会掩盖模式的模拟误差, 优化参数的模式可以更好的反映干旱区地气相互作用的物理过程。针对模式输出的感热通量和地表热通量的分析发现: 感热通量的季节变化明显, 全年都有由地表向上的感热通量输送, 夏季尤为显著; 相对于感热通量而言, 潜热通量量级很小可以忽略不计。夏季, 净辐射的能量大部分以感热通量的形式返回大气, 其余的能量以地表热通量的形式进入土壤并贮存, 夏季土壤为热汇; 冬季, 夏季贮存的能量又由土壤返回大气, 此时土壤为热源。     

利用MODIS-GOCART气溶胶资料研究中国东部地区气溶胶直接辐射强迫

利用MODIS-GOCART同化的2001年逐月气溶胶光学厚度资料，在修改区域气候模式RegCM2辐射方案的基础上，连续积分5年获得平均的中国东部地区气溶胶短波和长波直接辐射效应，并通过数值试验研究了气溶胶垂直分布对辐射强迫及其气候响应的影响。结果表明：气溶胶的短波辐射效应能冷却地表、加热大气；长波辐射效应能加热地表、冷却大气；大气顶净辐射强迫年平均为-4．1W／m^2；辐射强迫绝对值在春季最大，夏季次之，冬季最小；模拟区域中最大辐射强迫值主要位于华北、华南地区及四川盆地；气溶胶垂直分布是影响气溶胶辐射强迫的重要因素。总体上气溶胶层越靠近地面，大气顶辐射强迫绝对值越大，地表辐射强迫绝对值越小，大气顶辐射强迫对垂直分布较敏感；气候系统的反馈作用会放大气溶胶垂直分布对辐射气候效应的影响。     

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。     

黄土高原陆-气相互作用预试验及其晴天地表能量特征分析

详细介绍了在2004年8月24日～9月11日在甘肃平凉进行的陆-气相互作用野外预试验,对观测仪器进行了对比和标定,并利用观测资料,初步分析了黄土高原塬上裸地、塬上和塬下玉米地的地表净辐射各分量、感热、潜热和地热流的特征。由于作物（玉米）的存在,降低了地表反射率,使白天地面向上短波减少,同时向上长波也减少,增大了地表净辐射,地表潜热明显增大,玉米地白天向下的地热流和夜晚向上的地热流都比裸地小。与塬上相比,塬下玉米地的向下短波略小,向上短波明显偏小,向上长波基本一致;净辐射只在中午附近略小,地热流上午偏小,下午偏大,夜晚基本一致;感热和潜热在白天基本一致;塬下玉米地在凌晨明显存在负感热通量。     

Regional climate simulation with a high resolution GCM: surface radiative fluxes

The ability of a high resolution (T106) version of the ECHAM3 general circulation model to simulate regional scale surface radiative fluxes has been assessed using observations from a new compilation of worldwide instrumentally-measured surface fluxes (Global Energy Balance Archive, GEBA). The focus is on the European region where the highest density of observations is found, and their use for the validation of global and regional climate models is demonstrated. The available data allow a separate assessment of the simulated fluxes of surface shortwave, longwave, and net radiation for this region. In summer, the incoming shortwave radiation calculated by the ECHAM3/T106 model is overestimated by 45 W m^–2 over most of Europe, which implies a largely unrealistic forcing on the model surface scheme and excessive surface temperatures. In winter, too little incoming shortwave radiation reaches the model surface. Similar tendencies are found over large areas of the mid-latitudes. These biases are consistent with deficiencies in the simulation of cloud amount, relative humidity and clear sky radiative transfer. The incoming longwave radiation is underestimated at the European GEBA stations predominantly in summer. This largely compensates for the excessive shortwave flux, leading to annual mean net radiation values over Europe close to observations due to error cancellation, a feature already noted in the simulated global mean values in an earlier study. Furthermore, the annual cycle of the simulated surface net radiation is strongly affected by the deficiencies in the simulated incoming shortwave radiation. The high horizontal resolution of the GCM allows an assessment of orographically induced flux gradients based on observations from the European Alps. Although the model-calculated and observed flux fields substantially differ in their absolute values, several aspects of their gradients are realistically captured. The deficiencies identified in the model fields are generally consistent at most stations, indicating a high degree of representativeness of the measurements for their larger scale setting.     

Understanding the Surface Temperature Cold Bias in CMIP5 AGCMs over the Tibetan Plateau

The temperature biases of 28 CMIP5 AGCMs are evaluated over the Tibetan Plateau(TP) for the period 1979–2005. The results demonstrate that the majority of CMIP5 models underestimate annual and seasonal mean surface 2-m air temperatures(T_(as)) over the TP. In addition, the ensemble of the 28 AGCMs and half of the individual models underestimate annual mean skin temperatures(T_s) over the TP. The cold biases are larger in T_(as) than in T_s, and are larger over the western TP. By decomposing the T_s bias using the surface energy budget equation, we investigate the contributions to the cold surface temperature bias on the TP from various factors, including the surface albedo-induced bias, surface cloud radiative forcing, clear-sky shortwave radiation, clear-sky downward longwave radiation, surface sensible heat flux, latent heat flux,and heat storage. The results show a suite of physically interlinked processes contributing to the cold surface temperature bias.Strong negative surface albedo-induced bias associated with excessive snow cover and the surface heat fluxes are highly anticorrelated, and the cancelling out of these two terms leads to a relatively weak contribution to the cold bias. Smaller surface turbulent fluxes lead to colder lower-tropospheric temperature and lower water vapor content, which in turn cause negative clear-sky downward longwave radiation and cold bias. The results suggest that improvements in the parameterization of the area of snow cover, as well as the boundary layer, and hence surface turbulent fluxes, may help to reduce the cold bias over the TP in the models.     

ENERGY BUDGET BIAS IN GLOBAL COUPLED OCEAN-ATMOSPHERE-LAND MODEL*

The energy budget of the two versions of the GOALS model (GOALS-1.1 and GOALS-2) is described and compared to observational estimates.The results illustrate that the simulated surface net shortwave radiation flux is underestimated in the high-latitude regions while the surface net longwave radiation flux is substantially overestimated in that region,which results in the lower surface air temperature (SAT) of the polar region and the stronger negative sensible heat flux in high latitudes.The overestimated sensible heat flux from surface to atmosphere in the continents causes the much warmer SAT centers,which may be the reason for the bias of the model SAT. The bias that the simulated precipitation is less than observation in most regions is closely related to the underestimated latent heat flux over most of the Eurasian Continent and the oceans, especially over the subtropical oceans.It can be seen that the bias in the OLR of the two models lies in low and middle latitudes,where the absorbed solar shortwave radiation flux at the top of the atmosphere is comparable to the NCEP reanalysis,but much less than ERBE data.This indicates that the improvement of cloud-radiation parameterization scheme in low and middle latitudes is of critical importance to the simulation of global energy budget.The simulated cloud cover from the GOALS-2 model with diagnosed cloud scheme is generally less except at equatorial areas, especially in the mid-latitude areas,which causes the large bias of energy budget there.It is suggested that the refinement of cloud parameterization is one of the most important tasks in the model's future development.     

利用MODIS和CERES遥感数据研究青藏高原的云辐射强迫效应

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...     

南海夏季风爆发前后海-气界面热交换特征

文中利用 2 0 0 0与 2 0 0 2年二次南海海 气通量观测资料和同期西沙站资料 ,研究了南海夏季风爆发前后海洋表面热收支变化特征。研究表明 :南海夏季风爆发前后 ,影响海面热收支变化的主要分量是净短波辐射通量和潜热通量 ,在季风爆发前后不同阶段 ,二个分量的变化有不同表现形式 ,但不论二者如何变化 ,季风爆发与活跃期 ,海面热收入减小或为净支出 ;季风爆发前及中断期间 ,海面热收入逐渐增加 ;由于大的热惯性 ,海温变化落后于海面热收支的变化 ,海温的这种滞后效应通过影响潜热通量调节海面热收支的变化 ,又反过来影响自身的变化 ,形成短期振荡过程 ,这种振荡过程与季风的活跃、中断过程相对应。     

The Arctic surface energy budget as simulated with the IPCC AR4 AOGCMs

Ensembles of simulations of the twentieth- and twentyfirst-century climate, performed with 20 coupled models for the Intergovernmental Panel on Climate Change (IPCC) Fourth Assessment, provide the basis for an evaluation of the Arctic (70°–90°N) surface energy budget. While the various observational sources used for validation contain differences among themselves, some model biases and across-model differences emerge. For all energy budget components in the twentieth-century simulations (the 20C3M simulation), the across-model variance and the differences from observational estimates are largest in the marginal ice zone (Barents, Kara, Chukchi Seas). Both downward and upward longwave radiation at the surface are underestimated in winter by many models, and the ensenmble mean annual net surface energy loss by longwave radiation is 35 W/m², which is less than for the NCEP and ERA40 reanalyses but in line with some of the satellite estimates. Incoming solar radiation is overestimated by the models in spring and underestimated in summer and autumn. The ensemble mean annual net surface energy gain by shortwave radiation is 39 W/m², which is slightly less than for the observational based estimates, In the twentyfirst-century simulations driven by the SRES A2 scenario, increased concentrations of greenhouse gasses increase (average for 2080–2100 minus average for 1980–2000 averages) the annual average ensemble mean downward longwave radiation by 30.1 W/m². This was partly counteracted by a 10.7 W/m² reduction in downward shortwave radiation. Enhanced sea ice melt and increased surface temperatures increase the annual surface upward longwave radiation by 27.1 W/m² and reduce the upward shortwave radiation by 13.2 W/m², giving an annual net (shortwave plus longwave) surface radiation increase of 5.8 W/m² , with the maximum changes in summer. The increase in net surface radiation is largely offset by an increased energy loss of 4.4 W/m² by the turbulent fluxes.     

层状云微物理参数反演及其辐射效应的个例研究

利用毫米波云雷达、微波辐射计联合反演方法,对2015年11月11日安徽寿县的一次层状云过程的云参数进行了反演,将所得云参数加入到SBDART辐射传输模式中,进行辐射通量计算,并将计算的地面辐射通量与观测的地面辐射通量进行了对比分析。研究表明:1)利用毫米波雷达和微波辐射计数据联合反演的云参数比较可靠;2)利用SBDART模式并结合反演的云参数,可以准确实时地计算地面及其他高度层的长短波辐射通量;3)在反演的云参数中,光学厚度对地面各种辐射通量的影响是最大的,云层的光学厚度越大,到达地面的太阳短波辐射越小,地面反射短波辐射也越小。另外云底温度越高,云体向下发射的红外长波辐射越大。地面向上的长波辐射是地面温度的普朗克函数,随地面温度而变;4)云对地面的短波辐射强迫为负值,对地面有降温的作用。云对地面的长波辐射强迫是一个正值,对地面有一个增温的作用;5)云对地面的净辐射强迫随时间变化很大,它的正负与太阳高度角和云参数有关。     

Surface‐absorbed and top‐of‐atmosphere radiation fluxes for the Mackenzie River basin from satellite observations and a regional climate model and an evaluation of the model

Abstract

Both the earth‐reflected shortwave and outgoing longwave radiation (OLR) fluxes at the top of the atmosphere (TOA) as well as surface‐absorbed solar fluxes from Canadian Regional Climate Model (CRCM) simulations of the Mackenzie River Basin for the period March 2000 to September 2003 are compared with the radiation fluxes deduced from satellite observations. The differences between the model and satellite solar fluxes at the TOA and at the surface, which are used in this paper to evaluate the CRCM performance, have opposite biases under clear skies and overcast conditions, suggesting that the surface albedo is underestimated while cloud albedo is overestimated. The slightly larger differences between the model and satellite fluxes at the surface compared to those at the TOA indicate the existence of a small positive atmospheric absorption bias in the model. The persistent overestimation of TOA reflected solar fluxes and underestimation of the surface‐absorbed solar fluxes by the CRCM under all sky conditions are consistent with the overestimation of cloud fraction by the CRCM. This results in a larger shortwave cloud radiative forcing (CRF) both at the TOA and at the surface in the CRCM simulation. The OLR from the CRCM agrees well with the satellite observations except for persistent negative biases during the winter months under all sky conditions. Under clear skies, the OLR is slightly underestimated by the CRCM during the winter months and overestimated in the other months. Under overcast conditions the OLR is underestimated by the CRCM, suggesting an underestimation of cloud‐top temperature by the CRCM. There is an improvement in differences between model and satellite fluxes compared to previously reported results largely because of changes to the treatment of the surface in the model.     

TropFlux: air-sea fluxes for the global tropical oceans—description and evaluation

In this paper, we evaluate several timely, daily air-sea heat flux products (NCEP, NCEP2, ERA-Interim and OAFlux/ISCCP) against observations and present the newly developed TropFlux product. This new product uses bias-corrected ERA-interim and ISCCP data as input parameters to compute air-sea fluxes from the COARE v3.0 algorithm. Wind speed is corrected for mesoscale gustiness. Surface net shortwave radiation is based on corrected ISCCP data. We extend the shortwave radiation time series by using “near real-time” SWR estimated from outgoing longwave radiation. All products reproduce consistent intraseasonal surface net heat flux variations associated with the Madden-Julian Oscillation in the Indian Ocean, but display more disparate interannual heat flux variations associated with El Ni?o in the eastern Pacific. They also exhibit marked differences in mean values and seasonal cycle. Comparison with global tropical moored buoy array data, I-COADS and fully independent mooring data sets shows that the two NCEP products display lowest correlation to mooring turbulent fluxes and significant biases. ERA-interim data captures well temporal variability, but with significant biases. OAFlux and TropFlux perform best. All products have issues in reproducing observed longwave radiation. Shortwave flux is much better captured by ISCCP data than by any of the re-analyses. Our “near real-time” shortwave radiation performs better than most re-analyses, but tends to underestimate variability over the cold tongues of the Atlantic and Pacific. Compared to independent mooring data, NCEP and NCEP2 net heat fluxes display ~0.78 correlation and >65?W?m^?2 rms-difference, ERA-I performs better (~0.86 correlation and ~48?W?m^?2) while OAFlux and TropFlux perform best (~0.9 correlation and ~43?W?m^?2). TropFlux hence provides a useful option for studying flux variability associated with ocean–atmosphere interactions, oceanic heat budgets and climate fluctuations in the tropics.