我国南方中东部地区地面太阳总辐射变化规律

为进一步探讨我国地面太阳辐射的变化规律及其原因,选择我国南方中东部地区,利用该区域1961—2007年33个站点的地面太阳总辐射资料,结合云量、大气水汽含量和能见度等观测资料,综合研究该区域地面太阳总辐射的变化规律及其原因。结果表明:1961—1989年,我国南方中东部地区地面太阳总辐射呈下降趋势,之后发生逆转,1995年后其变化趋于缓和,1961—2007年总体呈现变暗—变亮—变缓的趋势。究其原因,该区域云量平均值由峰入谷、云量下降速率由快变慢可能是产生此变化趋势的原因之一;其次,20世纪80年代到21世纪初,气溶胶光学厚度上升趋势减缓,气溶胶地面辐射强迫变化趋于缓和,某些区域甚至出现下降,也导致部分站点地面太阳总辐射由暗变亮。     

全球“变暗”和“变亮”时期中国地面温度变化研究

利用中国90个气象站年平均地面日最高、日最低温度和地面太阳辐射数据,分析了在全球变暖背景下全球“变暗”和“变亮”时期中国地面温度的变化特征及其与到达地面的太阳辐射(SSR)变化之间的联系.结果表明,在全球“变暗”时期,年平均地面日最高和日最低温度的差别较大,日最高温度先下降后缓慢上升,日最低温度先平缓变化后快速上升,日最低温度的上升速率始终大于日最高温度,且两者变化速率之差＞0.3℃·(10 a)-1.从空间分布上看,年平均日最高和日最低温度都表现出明显的南北差异,中高纬度地区(35°N以北)增温(或保温)的趋势更强,这与该地区SSR下降幅度相对较小一致.在全球“变亮”时期,年平均地面日最低温度继续上升,相对于“变暗”时期升温速率变化不大;而年平均日最高温度上升速度明显加快,此时年平均日最高和日最低温度的升温速率趋于一致.年平均日最高温度仍有明显的地域差异,中低纬度(35°N以南)地区的升温速率大于中高纬度,这与中低纬度SSR上升而中高纬度SSR下降有较好的对应关系;年平均日最低温度没有表现出这种南北差异,与SSR变化也没有很好的对应关系.尽管20世纪90年代后SSR开始上升,但目前SSR仍未恢复到“变暗”初期(60年代)的水平,而当前地面日最高和日最低温度已远高于“变暗”初期.     

半干旱区云量变化特征及其与太阳辐射关系的研究

利用兰州大学半干旱气候与环境观测站2008年全天空成像仪、微脉冲激光雷达和太阳总辐射观测资料,分析了不同时间段内云量的变化特征及其与太阳辐射的关系。结果表明:2008年3~8月总云量经历了先上升后下降的过程,其中3~5月缓慢上升,各月总云量都在8成以上;6~8月显著下降,但各月总云量都大于6成,说明半干旱区春夏季云量充足,属"不缺云"状态;同一时段内,太阳总辐射先"变亮"后"变暗",即3~5月大幅上升,6~8月逐步下降;总云量与太阳总辐射存在显著的负相关关系,相关因子R2=0.68;低云、中云、高云对地面太阳辐射的相对影响值分别为-23.01%、-3.33%和13.09%。     

1961～2007年西北地区地面太阳辐射长期变化特征研究

利用西北地区16个甲级辐射站1961～2007年的总辐射资料,和1961～1992年的直接辐射、散射辐射资料,研究该地区地面太阳辐射的长期变化特征。发现,从1961～2007年总辐射的长期变化经历了"维持"、"变暗"、"变亮"和"回落"4个阶段。其中从70年代至80年代中期总辐射持续"变暗",之后开始转折"变亮"。"变亮"过程持续到90年代中期基本停止,之后振荡"回落"。各个季节总辐射的长期变化都表现出"变暗"和"变亮"这两个明显特征,其中冬季的"变暗"过程持续时间最长,"变亮"过程持续时间最短。从1961～1992年,直接辐射的变化过程为先下降后回升,散射辐射则是先上升后下降,两者的变化趋势和相对幅度决定了总辐射在不同阶段的变化趋势。60年代至80年代中期是西北地区直接辐射下降的主要时期,直接辐射和日照时数的下降过程具有地域性和季节性差异,表现为省会城市和冬季的下降百分率最显著。这种特征表明气溶胶排放的增加或许是影响该地区直接辐射和日照时数减小的因子之一。     

1961-2010年杭州太阳总辐射及日照时数气候变化

利用1961-2010年杭州站太阳总辐射、日照、降水、云量、水汽压和视程障碍日数资料,采用气候倾向率、突变检测和相关分析等方法,研究了近50 a太阳总辐射和日照时数的变化特征及其成因.结果表明,近50 a杭州年太阳总辐射和日照时数均呈减少趋势,以日照时数下降更明显,其突变年份分别发生在1975和1971年;年太阳总辐射下降主要出现在1961-1992年,1993-2010年呈波动变化,1993年以后未出现明显“变亮期”,而年日照时数在上述两个时段都表现为显著下降趋势,至21世纪00年代降到最低.夏、秋、冬3季太阳总辐射和日照时数趋势变化与年变化基本一致,春季两者在1961-1992年均呈下降趋势,1993年后存在较明显的“变亮期”.降水量、低云量和轻雾日的增加是造成杭州年及夏、秋、冬3季太阳总辐射和日照时数减少的主要原因,春季太阳总辐射的增加则主要与降水量、雨日、总云量和低云量减少关系密切,此外,霾日数变化对日照时数的影响也非常重要.     

我国东南沿海地区城市太阳辐射变化差异及其影响因素分析

基于东南沿海地区6个主要代表城市1961—2009年的逐日地面辐射数据和其他气象数据,利用线性回归、多元回归方法,探讨了近半个世纪以来6个城市太阳辐射的变化特征;通过逐步回归、通径分析方法,探讨了导致6个城市太阳辐射变化的主要影响因素。结果表明:福州、广州、汕头、桂林、南宁和杭州6个城市总太阳辐射在1960—1970年代由“亮”变“暗”,开始“变暗”时间分别为1963、1963、1963、1964、1963和1967年;在1980—1990年代由“暗”变“亮”,开始“变亮”的时间分别为1989、1995、1981、1991、1984和1989年。在总太阳辐射“变暗”阶段,福州、广州是低云量占主导因素;汕头、桂林、南宁是能见度占主导因素;杭州是总云量占主导因素。在总太阳辐射“变亮”阶段,福州、杭州是总云量占主导因素;广州是低云量占主导因素;汕头是能见度、日照时数占主导因素;桂林、南宁是日照时数占主导因素。总的来说,我国东南沿海地区太阳辐射变化主要受到低云量、气溶胶、总云量、日照时数的影响。由此看出,我国东南沿海地区各城市之间影响总太阳辐射变化的主体因素是不一样的。      

中国近30年太阳辐射状况研究

该文统计了中国地区1961～1990年近30年地面总辐射、直接辐射和散射辐射的变化。结果表明,中国大部地区近年来太阳总辐射和直接辐射呈减少趋势。在排除了大部分云的影响后,对太阳辐射的统计也给出了类似结果。对云量和地面能见度近30年变化规律的统计分析发现,中国大部分地区的能见度呈下降趋势,但云量的变化并不明显。初步认为,近年来大气混浊度和大气中悬浮粒子浓度的增加是引起中国某些地区直接辐射量下降的可能原因之一。     

南宁太阳总辐射长期变化特征

利用南宁气象站1961-2009年太阳辐射观测资料,运用线性倾向估计、M-K突变检验等方法对近49年来太阳辐射变化的主要特征进行了分析。结果表明,近49年来年太阳总辐射呈弱下降趋势,下降突变点为1964年,线性下降速率为28.9 (MJ/m²) /10a,其中下降主要发生在1961-1992年,1993年后显著增加;春、秋和冬季太阳总辐射变化趋势和全年相似,夏季则呈弱增加趋势。分析表明,总云量和表征气溶胶多少的能见度是影响太阳总辐射变化的主要气象因子。     

1961～2017年雅鲁藏布江河谷地区夏季气候暖干化趋势

基于1961～2017年青藏高原腹地雅鲁藏布江河谷地区4个站（拉萨、日喀则、泽当和江孜）夏季（6～8月）月平均气温、降水和相对湿度等观测资料,分析了该地区夏季气候年际和年代际演变特征,并探讨了气温、降水和相对湿度在年际和年代际时间尺度上的相互关系以及与总云量和地面水汽压的联系。结果表明:（1）1961～2017年该地区夏季气候出现了暖干化趋势。气温（相对湿度）显著升高（下降）,降水趋势变化不明显;本世纪初气温（相对湿度）均发生了显著的突变。（2）该地区夏季气候因子间在年际和年代际时间尺度上存在密切关系:气温与相对湿度和降水均存在明显的负相关,降水与相对湿度为正相关。（3）该地区夏季气候因子间的年际和年代际变化与同期总云量和地面水汽变化有关。1961～2017年总云量持续减少是气温显著升高的主要原因之一,气温的显著升高和降水变化不明显又造成了相对湿度的显著下降。     

1961-2013年黑龙江省总云量的气候变化特征分析

利用黑龙江省67个台站1961-2013年地面月总云量观测资料,采用气候趋势系数和气候倾向率方法分析了黑龙江省总云量的时空渐变特征。结果表明,近53 a,黑龙江省年平均总云量呈减少趋势,气候倾向率为-0.6%/10 a,20世纪90年代总云量减少最明显,1963年总云量最多,2001年最少。四季平均总云量均呈减少趋势,尤其在夏季。从空间分布看,黑龙江省多云区域主要位于大兴安岭、伊春、三江平原、牡丹江,少云区域位于西部地区。黑龙江省大部分地区总云量呈减少趋势。     

Decadal variation of surface solar radiation in the Tibetan Plateau from observations, reanalysis and model simulations

In this study, the annual and seasonal variations of all-sky and clear-sky surface solar radiation (SSR) in the eastern and central Tibetan Plateau (TP) during the period 1960–2009 are investigated, based on surface observational data, reanalyses and ensemble simulations with the global climate model ECHAM5-HAM. The mean annual all-sky SSR series shows a decreasing trend with a rate of ?1.00 Wm^?2 decade^?1, which is mainly seen in autumn and secondly in summer and winter. A stronger decrease of ?2.80 Wm^?2 decade^?1 is found in the mean annual clear-sky SSR series, especially during winter and autumn. Overall, these results confirm a tendency towards a decrease of SSR in the TP during the last five decades. The comparisons with reanalysis show that both NCEP/NCAR and ERA-40 reanalyses do not capture the decadal variations of the all-sky and clear-sky SSR. This is probably due to a missing consideration of aerosols in the reanalysis assimilation model. The SSR simulated with the ECHAM5-HAM global climate model under both all-sky and clear-sky conditions reproduce the decrease seen in the surface observations, especially after 1980. The steadily increasing aerosol optical depth (AOD) at 550 nm over the TP in the ECHAM5-HAM results suggests transient aerosol emissions as a plausible cause.     

A Study on Sulfate Optical Properties and Direct Radiative Forcing Using LASG-IAP General Circulation Model

The direct radiative forcing(DRF) of sulfate aerosols depends highly on the atmospheric sulfate loading and the meteorology,both of which undergo strong regional and seasonal variations.Because the optical properties of sulfate aerosols are also sensitive to atmospheric relative humidity,in this study we first examine the scheme for optical properties that considers hydroscopic growth.Next,we investigate the seasonal and regional distributions of sulfate DRF using the sulfate loading simulated from NCAR CAM-Chem together with the meteorology modeled from a spectral atmospheric general circulation model(AGCM) developed by LASG-IAP.The global annual-mean sulfate loading of 3.44 mg m 2 is calculated to yield the DRF of 1.03 and 0.57 W m 2 for clear-sky and all-sky conditions,respectively.However,much larger values occur on regional bases.For example,the maximum all-sky sulfate DRF over Europe,East Asia,and North America can be up to 4.0 W m 2.The strongest all-sky sulfate DRF occurs in the Northern Hemispheric July,with a hemispheric average of 1.26 W m 2.The study results also indicate that the regional DRF are strongly affected by cloud and relative humidity,which vary considerably among the regions during different seasons.This certainly raises the issue that the biases in model-simulated regional meteorology can introduce biases into the sulfate DRF.Hence,the model processes associated with atmospheric humidity and cloud physics should be modified in great depth to improve the simulations of the LASG-IAP AGCM and to reduce the uncertainty of sulfate direct effects on global and regional climate in these simulations.     

Evaluation of atmospheric thermal radiation algorithms for daylight hours

Existing simple but theoretically based clear-sky models for longwave down-welling radiation (LDR_c) and cloud impact algorithms transforming them to all-sky radiation (LDR) are checked against locally calibrated empirical algorithms. They are evaluated for daylight hours based on measurements in regionally differing climates of Germany. The Prata clear-sky scheme is additionally tested with adjusted coefficients so that LDR_c converges against a realistic emissivity for a completely dry atmosphere. This version is characterised by an improved modelled variance. Compared with locally calibrated schemes, bias and root mean square error (RMSE) of the more theoretical clear-sky schemes do not differ significantly and yield even better results at a mountain site. In contrast, the locally calibrated algorithms yield biases up to 9% and an increase in RMSE between 6% and 67%, if applied for other sites. For daylight hours, the cloud impact on LDR can be calculated via the ratio of observed to clear-sky global irradiation (CMF_sol). With CMF_sol, the Crawford and Duchon scheme reveals the lowest bias and a decrease in RMSE by 22% against the next best performing algorithms. Compared with synoptic cloud observations as input, the bias is reduced by 9 to 28 W m^?2 and the scattering of the residuals decreases by 20% to 30%. Based on published results for also non-European sites, it is inferred that the more theoretically based LDR_c schemes and cloud impact evaluated via CMF_sol are universally applicable and perform at least in the order of magnitude of locally calibrated empirical algorithms.     

Influence of Changes in Solar Radiation on Changes of Surface Temperature in China

The long-term trends of total surface solar radiation(SSR),surface diffuse radiation,and surface air temperature were analyzed in this study based on updated 48-yr data from 55 observational stations in China,and then the correlation between SSR and the diurnal temperature range(DTR) was studied.The effect of total solar radiation on surface air temperature in China was investigated on the basis of the above analyses.A strong correlation between SSR and DTR was found for the period 1961-2008 in China.The highest correlation and steepest regression line slope occurred in winter,indicating that the solar radiation effect on DTR was the largest in this season.Clouds and water vapor have strong influences on both SSR and DTR,and hence on their relationship.The largest correlations between SSR and DTR occurred in wintertime in northern China,regardless of all-day(including clear days and cloudy days) or clear-day cases.Our results also showed that radiation arriving at the surface in China decreased significantly during 1961-1989(dimming period),but began to increase during 1990-2008(brightening period),in agreement with previous global studies.The reduction of total SSR offset partially the greenhouse warming during 1961-1989.However,with the increase of SSR after 1990,this offsetting effect vanished;on the contrary,it even made a contribution to the accelerated warming.Nonetheless,the greenhouse warming still played a controlling role because of the increasing of minimum and mean surface temperatures in the whole study period of 1961-2008.We estimated that the greenhouse gases alone may have caused surface temperatures to rise by 0.31-0.46℃(10 yr) 1 during 1961-2008,which is higher than previously estimated.Analysis of the corresponding changes in total solar radiation,diffuse radiation,and total cloud cover indicated that the dimming and brightening phenomena in China were likely attributable to increases in absorptive and scattering aerosols in the atmosphere,respectively.     

Climatology of cloud and radiation fields in a numerical weather prediction model

Summary Satellite-derived datasets are used to verify the cloud cover and radiation field generated by a T62 (horizontal resolution) version of the operational global model at the National Meteorological Centre (NMC). An ensemble of five day forecasts for July 1985 is used, as well as 30 day climatological forecasts for July 1985, October 1985, January 1986, and April 1986.Monthly averages of radiation fields are compared with Earth Radiation Budget Experiment (ERBE) data. For the four months examined, clear-sky outgoing longwave radiation (clear-sky OLR) and absorbed shortwave radiation (clear-sky SW) tend to agree roughly with ERBE. Model global mean OLR, however, exceeds that of ERBE by 10 W m^–2.Comparison of effective cloud cover to corresponding fields cataloged by the International Satellite Cloud Climatology Project (ISCCP C1) reveals deficiencies in the amount of supersaturation cloudiness and the vertical distribution of convective clouds. Large inaccuracies in model radiation fields are closely related to deficiencies in the cloud parameterization. An inventory of model cloudiness, in comparison to satellite data, is conducted.With 18 Figures     

Direct Radiative Forcing of Anthropogenic Aerosols over Oceans from Satellite Observations

Anthropogenic aerosols play an important role in the atmospheric energy balance. Anthropogenic aerosol optical depth (AOD) and its accompanying shortwave radiative forcing (RF) are usually simulated by nu- merical models. Recently, with the development of space-borne instruments and sophisticated retrieval algorithms, it has become possible to estimate aerosol radiative forcing based on satellite observations. In this study, we have estimated shortwave direct radiative forcing due to anthropogenic aerosols over oceans in all-sky conditions by combining clouds and the Single Scanner Footprint data of the Clouds and Earth’s Radiant Energy System (CERES/SSF) experiment, which provide measurements of upward shortwave fluxes at the top of atmosphere, with Moderate Resolution Imaging Spectroradiometer (MODIS) aerosol and cloud products. We found that globally averaged aerosol radiative forcing over oceans in the clear-sky conditions and all-sky conditions were -1.03±0.48 W m-2 and -0.34 ±0.16 W m-2, respectively. Direct radiative forcing by anthropogenic aerosols shows large regional and seasonal variations. In some regions and in particular seasons, the magnitude of direct forcing by anthropogenic aerosols can be comparable to the forcing of greenhouse gases. However, it shows that aerosols caused the cooling effect, rather than warming effect from global scale, which is different from greenhouse gases.     

Surface Energy Balance Measurements Above an Exurban Residential Neighbourhood of Kansas City,Missouri

Previous measurements of urban energy balances generally have been limited to densely built, central city sites and older suburban locations with mature tree canopies that are higher than the height of the buildings. In contrast, few data are available for the extensive, open vegetated types typical of low-density residential areas that have been newly converted from rural land use. We made direct measurements of surface energy fluxes using the eddy-covariance technique at Greenwood, a recently developed exurban neighbourhood near Kansas City, Missouri, USA, during an intensive field campaign in August 2004. Energy partitioning was dominated by the latent heat flux under both cloudy and near clear-sky conditions. The mean daytime Bowen ratio (β) values were 0.46, 0.48, and 0.47 respectively for the cloudy, near clear-sky and all-sky conditions. Net radiation (R _n ) increased rapidly from dawn (−34 and −58W m⁻²) during the night to reach a maximum (423 and 630W m⁻²) after midday for cloudy and near clear-sky conditions respectively. Mean daytime values were 253 and 370W m⁻², respectively for the cloudy and near clear-sky conditions, while mean daily values were 114 for cloudy and 171W m⁻² for near clear-sky conditions, respectively. Midday surface albedo values were 0.25 and 0.24 for the cloudy and near clear-sky conditions, respectively. The site exhibited an angular dependence on the solar elevation angle, in contrast to previous observations over urban and suburban areas, but similar to vegetated surfaces. The latent heat flux (Q _E ), sensible heat flux (Q _H ), and the residual heat storage ΔQ _s terms accounted for between 46–58%, 21–23%, and 18–31% of R _n , respectively, for all-sky conditions and time averages. The observed albedo, R _n , and Q _E values are higher than the values that have been reported for suburban areas with high summer evapotranspiration rates in North America. These results suggest that the rapidly growing residential areas at the exurban fringe of large metropolitan areas have a surface energy balance that is more similar to the rural areas from which they were developed than it is to the older suburbs and city centres that make up the urban fabric to which they are being joined.     

全球气候模式对东亚地区地表短波辐射的模拟检验

利用WCRPCMIP3提供的18个全球气候模式输出结果, 检验了其对东亚地区地表短波辐射的模拟能力, 结果表明:多模式集合的多年平均地表短波辐射模拟偏高约8.7 W/m 2, 晴空地表短波辐射模拟偏高约3.4 W/m 2, 地表短波云辐射强迫模拟偏低约5.3 W/m2, 模式间的标准差分别达到9.6, 7.8 W/m2和8 W/ m2; 多模式集合能够很好地模拟出地表短波辐射的纬向平均季节变化的位相特征, 但在量值上还有较大的差距; 模拟偏差分析表明, 多模式集合的区域年平均地表短波辐射、晴空地表短波辐射、地表短波云辐射强迫的均方根偏差分别为34.7, 17.1 W/m 2和29.1 W/ m2, 表明云在地表短波辐射的模拟偏差中起着重要作用; 多模式集合能够很好地模拟出地表入射短波辐射年变化的线性减小趋势, 但模式高估了晴空入射辐射的减小趋势, 而模拟的云辐射强迫变化趋势与ERA 40完全相反。     

北京不同区域气溶胶辐射效应

采用大气辐射传输模式SES2以及2013年1月—2015年10月欧洲中期天气预报中心细网格再分析资料计算了北京地区4个观测站地面接收的短波辐射通量,分析了晴天和云天北京城郊气溶胶对总辐射的定量影响时空变化特征。结果表明:北京城区和近郊区气溶胶对总辐射的影响约为远郊区的2倍,北京南部和西部气溶胶对辐射的影响较大,晴天和云天北京城区和近郊区气溶胶对总辐射的削减值分别为146.23~180.99 W·m-2和202.11~217.02 W·m-2,晴天总辐射削减空间差异较大;秋冬季气溶胶对总辐射的影响明显大于春夏季,北京市观象台秋冬季气溶胶对总辐射的削减作用最大可达60%,较春夏季高10%~20%;北京城郊总辐射和直接辐射削减率与气溶胶光学厚度变化均呈线性关系,近地面PM_2.5浓度对辐射的影响不容忽视。     

Greenhouse effect and altitude gradients over the Alps – by surface longwave radiation measurements and model calculated LOR

Summary The greenhouse effect has been investigated predominantly with satellite measurements, but more than 90% of the greenhouse radiative flux affecting Earths surface temperature and humidity originates from a 1000 meter layer above the surface. Here we show that substantial improvements on surface longwave radiation measurements and very good agreement with radiative transfer model calculations allow the clear-sky greenhouse effect be determined with measured surface longwave radiation and calculated longwave outgoing radiation at the top of the atmosphere. The cloud radiative forcing is determined by measured net longwave fluxes and added to the clear-sky greenhouse effect to determine the all-sky greenhouse effect. Longwave radiation measurements at different altitudes were used to determine the clear-sky and all-sky annual and seasonal greenhouse effect and altitude gradients over the Alps. Linear altitude gradients are measured for clear-sky situations, whereas the all-sky greenhouse effect is strongly influenced by varying, cloud amounts at different altitudes. Large diurnal and seasonal variations show the importance of surface heating and cooling effects and demonstrate the strong coupling of the greenhouse effect to surface temperature and humidity.