2018年陕西商洛一次罕见强雹暴环境条件及雷达特征分析

利用商洛天气雷达资料和相关实况资料,对2018年5月15日午后商南地区一次强雹暴天气的环境条件和雷达回波结构演变特征进行了详细分析。结果表明：（１）雹暴发生在低层气旋暖区,中层有冷温槽发展东移,高层有急流的背景下,0 ℃层高度为43 km,-20 ℃层高度为75 km。地面中尺度辐合线触发的对流云团在不稳定层结和较强垂直风切变作用下发展为超级单体风暴。（２）强雹暴的低层反射率因子呈现出明显的钩状回波或倒“Ｖ”型入流缺口,并伴有三体散射长钉等特征。回波顶高度达11 km左右,最大VIL值达77 kg/m2。反射率因子垂直剖面呈现出典型的有界弱回波区、回波悬垂和回波墙。最大的回波强度出现在沿着回波墙的一个竖直的狭长区域,中心值达到65 dBz以上。相应的中低层径向速度图存在明显辐合区,有利于强上升气流发展。（３）此次强雹暴天气在西北东部较为罕见,前人总结的冰雹各项潜势预报指标具有一定局限性,垂直液态积分水含量密度（VIL密度）跃增能更好地提前指示大冰雹。因而可用VIL密度值明显跃增至55 g/m3提前24 min预警大冰雹,进一步补充和完善陕西极端突发强天气预警指标。     

东北冷涡背景下超级单体风暴环境条件与雷达回波特征

利用常规观测、地面加密自动站、多普勒天气雷达观测资料以及NECP(1°×1°)逐6 h再分析资料对2016年8月16日内蒙古东南部地区由于超级单体风暴诱发的强冰雹、雷暴大风等强对流天气进行了分析。结果表明:这次超级单体风暴发生在高空东北冷涡和低层暖式切变线形成的强不稳定层结背景下,低层丰富的水汽、中等强度对流有效位能和大的深层垂直风切变,为强对流天气的发生提供了非常有利的环境条件;地面中尺度辐合线和露点锋两种对流系统耦合并加强是对流风暴的触发机制;雷达回波有钩状回波、弱回波区WER (Weak Echo Region)、回波悬垂、回波墙、中气旋等超级单体风暴特征,其中弱回波区,回波悬垂由反射率因子从低到高向低层入流一侧倾斜且回波强度梯度大;风暴内中层维持较深厚的气旋性辐合,风暴顶则表现出明显的气旋性辐散特征,标志大冰雹的三体散射长钉TBSS(Three-Body Scatter Spike)特征回波,50 dBZ以上的反射率因子核心的高度伸展到-20℃以上,为典型的产生冰雹的回波结构;垂直液态水含量VIL(Vertical Integrated Liquid Water Content)与风暴顶高之比即VIL密度达到5 g·m~(-3),这也是大冰雹的预报指标。     

山东中西部一次长生命史超级单体雷达回波特征和触发机制分析

利用常规观测资料、多普勒雷达产品、NCEP/NCAR再分析资料和加密自动站等资料分析了2016年6月14日山东中西部地区一次长生命史超级单体的环境条件和雷达回波结构演变。结果表明,强对流发生在华北冷涡天气背景下,中层有中空急流配合的冷槽叠加在低层低空急流配合的暖脊上,中低层之间水汽和热量的平流差异不断增大。地面露点锋生和中尺度辐合线触发的对流云团在深厚的垂直风切变和强的垂直不稳定层结作用下逐渐发展成超级单体风暴。超级单体低层反射率因子呈现明显"V"型缺口,反射率因子垂直剖面呈现典型的有界弱回波区,回波悬垂和回波墙,相应的中高层径向速度呈现出一个强中气旋,旋转速度达29 m/s,中气旋的发展和维持使得超级单体发展和维持。6月,当最大反射率因子值达到60 dBZ,出现中等强度以上中气旋且VIL值和VIL密度分别达59 kg/m2和4.7 g/m3以上时,在强对流预报业务中需要注意大冰雹的出现。冰雹发生在风暴单体强中心所在高度和回波顶高下降期间。     

一次长生命史超级单体风暴的雷达观测特征

利用地面观测资料、探空资料以及石家庄多普勒天气雷达和饶阳双偏振雷达资料等,对2018年6月13日影响河北中南地区的一个长生命史超级单体风暴的环流背景、雷达观测特征等进行了分析。结果表明:(1)此超级单体发生在涡后横槽转竖的环流背景下。(2)风暴生命史长204 min,其中超级单体维持时间长达138 min,其间雷达最大反射率因子基本上维持在65 dBz以上。(3)中气旋深厚并强烈发展是超级单体发展和维持的重要动力机制。中气旋底高最低可达风暴底部,顶高变化幅度较小,低质心中气旋和高质心中气旋的形成和发展都可能引起地面降雹,降雹期间对应超级单体短暂减弱。(4)超级单体维持期间一直伴有气旋、反气旋涡旋对特征。超级单体的钩状回波特征明显,表现为典型的回波墙-弱回波区-悬挂回波的垂直结构;低层辐合、高层辐散,高空辐散大于低层辐合,有利于超级单体内部强烈的旋转上升运动;有明显的三体散射和旁瓣回波,三体散射最长超过60 km,持续时间长达150 min。(5)双偏振雷达探测的超级单体反射率因子≥55 dBz,对应位置差分反射率-0.5~0.5 dB,差分传播相移率仅1.5~2.0°/km,相关系数在0.75~0.92之间,表明超级单体内同时存在液滴和较大冰雹。     

桂西北一次超级单体风暴过程的分析

本文利用常规观测资料和多普勒天气雷达资料,对2009年4月12日发生在广西西北部的大范围冰雹天气进行分析,得出以下结论：（1）导致冰雹发生的天气系统是高空低涡和低层切变线,冰雹发生前上午百色探空站有中等对流有效位能、上干下湿层结结构、强的深层垂直环境风切变,速度矢图上低层强的顺时针旋转曲率,已经具备强对流潜势发生条件。（2）超级单体右前方的低层反射率因子呈现明显的钩状回波,是超级单体风暴的典型特征之一。反射率因子垂直剖面呈现出典型的有界弱回波区、回波悬垂和回波墙。最大的回波强度出现在沿着回波墙的一个竖直的狭长区域,其值超过65 dBz。相应的中低层径向速度图呈现一个中等强度的中气旋,旋转速度达到22 m·s-;垂直累积液态水含量和密度分别超过70kg·m~（-2）和5 g·m~（-3）。（3）高空低涡正涡度区、高CAPE值、地面辐合线在右江河谷滞留以及特殊地形作用,是多个对流单体沿相似路径移动的主要原因。     

一次致灾冰雹的超级单体风暴雷达回波特征分析

利用石河子C波段多普勒天气雷达资料,对2010年6月28日下午发生在准噶尔盆地南缘石河子垦区北部沙漠边缘地带的强冰雹超级单体风暴的雷达回波演变特征进行了详细分析。结果表明,该超级单体风暴前进方向的右侧出现了弓形回波,左前侧和右后侧分别出现了＂V＂字型缺口;沿入流方向穿过最强回波位置的反射率因子垂直剖面呈现出典型的有界弱回波区、回波悬垂和有界弱回波区左侧的强大回波墙,最大回波强度出现在沿回波墙狭长区域的下部,其值达到70dBz;相应的径向速度上出现了中气旋,该中气旋的发展和维持使得超级单体弓形回波发展并维持;强冰雹发生在有界弱回波区、垂直累积液态水含量大值区和中气旋重合的区域内;可用中气旋提前30min预警短时冰雹,其反射率因子垂直剖面上的宽大有界弱回波及其回波悬垂和回波墙下部的强回波中心强度（70dBz）可作为预警大冰雹的预警指标。     

云南中部一次出现多个超级单体雹暴的强对流过程环境场和雷达回波特征

利用常规观测、地面加密自动站、多普勒天气雷达、NCEP(1°×1°)逐6 h再分析资料对2017年8月23日云南中部地区一次强对流风暴的环境参数和雷达回波特征进行分析,结果表明:此次强对流风暴发生在台风低压前侧、中高纬冷槽后部的强不稳定层结背景下,地面辐合线和强垂直风切变有利于对流风暴的维持和加强。强对流风暴受地形影响较为明显,共激发形成6个超级单体或类超级单体,在超级单体发展成熟前10 min,3个降雹超级单体强中心沿地形爬升,未降雹和小雹超级单体沿地形下降。6个超级单体或类超级单体呈现出中气旋或γ中尺度弱涡旋特征,最大速度对转动值超过10 m·s~(-1)时出现不同程度冰雹,冰雹直径15 mm的超级单体在2.4°～3.4°仰角上径向速度值达到中气旋标准,冰雹直径为15～20 mm的超级单体反射率因子质心点较高,回波核前倾,具有悬垂回波、弱回波区、回波墙和三体散射特征,其零速度线后倾,辐合区高度超过- 10℃层,顶部为强辐散区,- 20～0℃层回波最大强度超过55 dBz,50 dBz回波厚度6 km,垂直累积液态水含量(VIL)密度2.2 g·m~(-3)。冰雹直径5～8 mm和未降雹超级单体回波核直立,悬垂回波特征不显著,辐合区高度偏低,辐散区厚度大于辐合区厚度,不同等温层回波强度差别小,但50 dBz回波厚度6 km,VIL密度2.2 g·m~(-3)。     

苏北地区超级单体风暴环境条件与雷达回波特征

利用江苏3个探空站、5部CINRAD/SA型多普勒天气雷达、地面常规与加密自动站等观测资料,分析2005—2009年苏北地区72个超级单体风暴发生的环境条件和多普勒天气雷达回波特征。探空和地面资料分析表明,苏北地区超级单体风暴可以产生在差别相当大的环境条件下:强降水超级单体通常产生在对流有效位能较高和垂直风切变中等的环境下,经典超级单体更多地产生在对流有效位能较高和垂直风切变较强环境下;产生大冰雹和(或)雷暴大风的超级单体,无论是经典还是强降水型超级单体,其环境特征均为0℃层、-20℃等温线高度较低,850—500 hPa温差较大,低层露点不高;产生龙卷特别是F2级以上强龙卷超级单体环境特征常常表现为低层(0—1 km)垂直风切变大、850—500 hPa温差相对较小、抬升凝结高度低、低层露点高,这类超级单体在产生龙卷的同时也常常伴有短时强降水甚至极端短时强降水。多普勒天气雷达资料分析表明,苏北地区超级单体具有持久的中气旋、回波墙和有界弱回波区或弱回波区结构,可以产生大冰雹、龙卷、短时强降水和下击暴流等强对流天气;超级单体的类型主要有经典超级单体、强降水超级单体以及强降水超级单体组成的复合风暴。经典超级单体一般为孤立风暴,中气旋多数情况下位于其右后侧(相对于风暴移动方向),低层有明显的钩状回波和入流缺口,入流缺口之上存在宽大的有界弱回波区,其上有强反射率因子组成的风暴核,最强的反射率因子可达75 dBz;强降水超级单体前侧有入流缺口和旁边粗胖的凸起部分与中气旋相伴,与经典超级单体的钩状回波在形态上区别明显,同样存在有界弱回波区或弱回波区,中气旋环流中有明显的降水回波;强降水超级单体组成的复合风暴内中气旋一般位于其前侧,主要结构与强降水超级单体相似,生命史较长。超级单体结构属性分析表明,绝大多数情况下,苏北地区超级单体风暴的最大反射率因子为55—76 dBz,基于单体的垂直累积液态水含量(VIL)为35—90 kg/m~2,垂直累积液态水含量超过60 kg/m~2时风暴有可能产生大冰雹,特别是在4—6月,冰雹直径随着垂直累积液态水含量的增大而增大,因此,垂直累积液态水含量季节性高值可以用来辨别产生大冰雹的超级单体;绝大多数情况下,中气旋旋转速度大于15 m/s,直径在3—10 km,持续时间超过40 min;中气旋的底越低,直径越小,产生龙卷的可能性越大。     

华北地区一次长生命史超级单体雹暴特征观测

对2020 年6 月25 日河北南部从保定涞源到沧州东光的超级单体雹暴环境条件、雷达观测及风场反演特征进行了分析。结果表明：①本次超级单体雹暴是在水平对流卷上触发起来并经过不断加强形成的。②超级单体雹暴长时间处于中等到强的基本顺时针旋转环境风的垂直风切变环境中、中气旋维持时间超过3 h以及较强冷池作用，是本次超级单体雹暴维持长生命史的可能原因。③对流单体VIL持续7 h基本维持在55～80 kg·m-2区间,与单体移动路径上降雹时段一致，超过4 h持续出现三体散射长钉或旁瓣回波特征，与本次过程中灾情调查和气象站观测到的大冰雹时间段基本一致，对大冰雹有较好指示意义。④超级单体雹暴出现钩状回波（低层）、回波悬垂“穹隆”结构、风暴顶辐散、ZDR柱和KDP柱等特征。“穹隆”顶部为65 dBz以上反射率因子，该处风场以垂直上升为主，水平风分量较弱，呈现出“穴道〖CD*2〗零域”结构，利于大冰雹增长。超级单体垂直速度随高度增大，利于中气旋形成和维持。     

一次超级单体风暴的多普勒雷达回波特征

利用滨州CINRAD／SC雷达产品资料,对2008年6月25日发生在鲁北沿海地区的超级单体风暴过程进行了分析。结果表明,超级单体右前方的低层反射率因子呈现明显的“钩状”结构,弱回波区上方存在强大的回波悬垂,低层存在中尺度辐合现象,中层呈现气旋性旋转结构,风暴顶为强烈辐散。风暴成熟阶段反射率因子维持在60dBz以上,最强达70dBz,相应的垂直累积液态水含量维持在60kg·m^-2以上,最大值达到78kg·m^-2。风暴内部强烈的旋转上升气流使得风暴维持较长时间,造成了严重的风雹灾害。     

CHARACTERISTICS AND TRENDS OF CLIMATIC EXTREMES IN CHINA DURING 1959–2014

The spatial and temporal variations of daily maximum temperature(Tmax), daily minimum temperature(Tmin), daily maximum precipitation(Pmax) and daily maximum wind speed(WSmax) were examined in China using Mann-Kendall test and linear regression method. The results indicated that for China as a whole, Tmax, Tmin and Pmax had significant increasing trends at rates of 0.15℃ per decade, 0.45℃ per decade and 0.58 mm per decade,respectively, while WSmax had decreased significantly at 1.18 m·s~(-1) per decade during 1959—2014. In all regions of China, Tmin increased and WSmax decreased significantly. Spatially, Tmax increased significantly at most of the stations in South China(SC), northwestern North China(NC), northeastern Northeast China(NEC), eastern Northwest China(NWC) and eastern Southwest China(SWC), and the increasing trends were significant in NC, SC, NWC and SWC on the regional average. Tmin increased significantly at most of the stations in China, with notable increase in NEC, northern and southeastern NC and northwestern and eastern NWC. Pmax showed no significant trend at most of the stations in China, and on the regional average it decreased significantly in NC but increased in SC, NWC and the mid-lower Yangtze River valley(YR). WSmax decreased significantly at the vast majority of stations in China, with remarkable decrease in northern NC, northern and central YR, central and southern SC and in parts of central NEC and western NWC. With global climate change and rapidly economic development, China has become more vulnerable to climatic extremes and meteorological disasters, so more strategies of mitigation and/or adaptation of climatic extremes,such as environmentally-friendly and low-cost energy production systems and the enhancement of engineering defense measures are necessary for government and social publics.     

ANALYSIS OF “BIMODAL PATTERN” STORM ACTIVITY CHARACTERISTICS OF THE BAY OF BENGAL

Storms that occur at the Bay of Bengal (BoB) are of a bimodal pattern, which is different from that of the other sea areas. By using the NCEP, SST and JTWC data, the causes of the bimodal pattern storm activity of the BoB are diagnosed and analyzed in this paper. The result shows that the seasonal variation of general atmosphere circulation in East Asia has a regulating and controlling impact on the BoB storm activity, and the “bimodal period” of the storm activity corresponds exactly to the seasonal conversion period of atmospheric circulation. The minor wind speed of shear spring and autumn contributed to the storm, which was a crucial factor for the generation and occurrence of the “bimodal pattern” storm activity in the BoB. The analysis on sea surface temperature (SST) shows that the SSTs of all the year around in the BoB area meet the conditions required for the generation of tropical cyclones (TCs). However, the SSTs in the central area of the bay are higher than that of the surrounding areas in spring and autumn, which facilitates the occurrence of a “two-peak” storm activity pattern. The genesis potential index (GPI) quantifies and reflects the environmental conditions for the generation of the BoB storms. For GPI, the intense low-level vortex disturbance in the troposphere and high-humidity atmosphere are the sufficient conditions for storms, while large maximum wind velocity of the ground vortex radius and small vertical wind shear are the necessary conditions of storms.     

LOW-FREQUENCY CIRCULATION AND EXTENDED-RANGE FORECAST IN CONNECTION WITH AUTUMN EXTREME HEAVY RAINFALL PROCESS IN HAINAN

Observed daily precipitation data from the National Meteorological Observatory in Hainan province and daily data from the National Centers for Environmental Prediction/National Center for Atmospheric Research (NCEP/NCAR) reanalysis-2 dataset from 1981 to 2014 are used to analyze the relationship between Hainan extreme heavy rainfall processes in autumn (referred to as EHRPs) and 10–30 d low-frequency circulation. Based on the key low-frequency signals and the NCEP Climate Forecast System Version 2 (CFSv2) model forecasting products, a dynamical-statistical method is established for the extended-range forecast of EHRPs. The results suggest that EHRPs have a close relationship with the 10–30 d low-frequency oscillation of 850 hPa zonal wind over Hainan Island and to its north, and that they basically occur during the trough phase of the low-frequency oscillation of zonal wind. The latitudinal propagation of the low-frequency wave train in the middle-high latitudes and the meridional propagation of the low-frequency wave train along the coast of East Asia contribute to the ‘north high (cold), south low (warm)’ pattern near Hainan Island, which results in the zonal wind over Hainan Island and to its north reaching its trough, consequently leading to EHRPs. Considering the link between low-frequency circulation and EHRPs, a low-frequency wave train index (LWTI) is defined and adopted to forecast EHRPs by using NCEP CFSv2 forecasting products. EHRPs are predicted to occur during peak phases of LWTI with value larger than 1 for three or more consecutive forecast days. Hindcast experiments for EHRPs in 2015–2016 indicate that EHRPs can be predicted 8–24 d in advance, with an average period of validity of 16.7 d.     

AN ATTRIBUTION ANALYSIS OF CHANGES IN POTENTIAL EVAPOTRANSPIRATION IN THE BEIJING–TIANJIN–HEBEI REGION UNDER CLIMATE CHANGE

Based on the measurements obtained at 64 national meteorological stations in the Beijing–Tianjin–Hebei (BTH) region between 1970 and 2013, the potential evapotranspiration (ET0) in this region was estimated using the Penman–Monteith equation and its sensitivity to maximum temperature (Tmax), minimum temperature (Tmin), wind speed (Vw), net radiation (Rn) and water vapor pressure (Pwv) was analyzed, respectively. The results are shown as follows. (1) The climatic elements in the BTH region underwent significant changes in the study period. Vw and Rn decreased significantly, whereas Tmin, Tmax and Pwv increased considerably. (2) In the BTH region, ET0 also exhibited a significant decreasing trend, and the sensitivity of ET0 to the climatic elements exhibited seasonal characteristics. Of all the climatic elements, ET0 was most sensitive to Pwv in the fall and winter and Rn in the spring and summer. On the annual scale, ET0 was most sensitive to Pwv, followed by Rn, Vw, Tmax and Tmin. In addition, the sensitivity coefficient of ET0 with respect to Pwv had a negative value for all the areas, indicating that increases in Pwv can prevent ET0 from increasing. (3) The sensitivity of ET0 to Tmin and Tmax was significantly lower than its sensitivity to other climatic elements. However, increases in temperature can lead to changes in Pwv and Rn. The temperature should be considered the key intrinsic climatic element that has caused the "evaporation paradox" phenomenon in the BTH region.     

Could the Recent Taal Volcano Eruption Trigger an El Ni?o and Lead to Eurasian Warming?

正The Taal Volcano in Luzon is one of the most active and dangerous volcanoes of the Philippines. A recent eruption occurred on 12 January 2020(Fig. 1a), and this volcano is still active with the occurrence of volcanic earthquakes. The eruption has become a deep concern worldwide, not only for its damage on local society, but also for potential hazardous consequences on the Earth's climate and environment.     

VARIABILITY OF INTER-ANNUAL RELATIONSHIP BETWEEN INDIAN OCEAN DIPOLE AND HUAXI REGION’S AUTUMN PRECIPITATION

The moving-window correlation analysis was applied to investigate the relationship between autumn Indian Ocean Dipole (IOD) events and the synchronous autumn precipitation in Huaxi region, based on the daily precipitation, sea surface temperature (SST) and atmospheric circulation data from 1960 to 2012. The correlation curves of IOD and the early modulation of Huaxi region’s autumn precipitation indicated a mutational site appeared in the 1970s. During 1960 to 1979, when the IOD was in positive phase in autumn, the circulations changed from a “W” shape to an ”M” shape at 500 hPa in Asia middle-high latitude region. Cold flux got into the Sichuan province with Northwest flow, the positive anomaly of the water vapor flux transported from Western Pacific to Huaxi region strengthened, caused precipitation increase in east Huaxi region. During 1980 to 1999, when the IOD in autumn was positive phase, the atmospheric circulation presented a “W” shape at 500 hPa, the positive anomaly of the water vapor flux transported from Bay of Bengal to Huaxi region strengthened, caused precipitation ascend in west Huaxi region. In summary, the Indian Ocean changed from cold phase to warm phase since the 1970s, caused the instability of the inter-annual relationship between the IOD and the autumn rainfall in Huaxi region.     

Revisiting the Concentration Observations and Source Apportionment of Atmospheric Ammonia

正While China’s Air Pollution Prevention and Control Action Plan on particulate matter since 2013 has reduced sulfate significantly, aerosol ammonium nitrate remains high in East China. As the high nitrate abundances are strongly linked with ammonia, reducing ammonia emissions is becoming increasingly important to improve the air quality of China. Although satellite data provide evidence of substantial increases in atmospheric ammonia concentrations over major agricultural regions, long-term surface observation of ammonia concentrations are sparse. In addition, there is still no consensus on     

全球贸易隐含碳变化及其影响分析

基于最新的GTAP8 (Global Trade Analysis Project）数据库,使用投入产出法,分析了2004年到2007年全球贸易变化下南北集团贸易隐含碳变化及对全球碳排放的影响。结果显示,随着发展中国家进出口规模扩张,全球贸易隐含碳流向的重心逐渐向发展中国家转移。2004年到2007年,发达国家高端设备制造业和服务业出口以及发展中国家资源、能源密集型行业及中低端制造业出口的趋势加强,该过程的生产转移导致全球碳排放增长4.15亿t,占研究时段全球贸易隐含碳增量的63%。未来发展中国家的出口隐含碳比重还将进一步提高。贸易变化带来的南北集团隐含碳流动变化对全球应对气候变化行动的影响日益突出,发达国家对此负有重要责任。     

COMPARATIVE ANALYSIS OF VARIOUS DATA OF AIR–SEA TEMPERATURE DIFFERENCE AND ITS VARIATION ACROSS SOUTH CHINA SEA IN THE PAST 35 YEARS

Using the International Comprehensive Ocean-Atmosphere Data Set(ICOADS) and ERA-Interim data, spatial distributions of air-sea temperature difference(ASTD) in the South China Sea(SCS) for the past 35 years are compared,and variations of spatial and temporal distributions of ASTD in this region are addressed using empirical orthogonal function decomposition and wavelet analysis methods. The results indicate that both ICOADS and ERA-Interim data can reflect actual distribution characteristics of ASTD in the SCS, but values of ASTD from the ERA-Interim data are smaller than those of the ICOADS data in the same region. In addition, the ASTD characteristics from the ERA-Interim data are not obvious inshore. A seesaw-type, north-south distribution of ASTD is dominant in the SCS; i.e., a positive peak in the south is associated with a negative peak in the north in November, and a negative peak in the south is accompanied by a positive peak in the north during April and May. Interannual ASTD variations in summer or autumn are decreasing. There is a seesaw-type distribution of ASTD between Beibu Bay and most of the SCS in summer, and the center of large values is in the Nansha Islands area in autumn. The ASTD in the SCS has a strong quasi-3a oscillation period in all seasons, and a quasi-11 a period in winter and spring. The ASTD is positively correlated with the Nio3.4 index in summer and autumn but negatively correlated in spring and winter.     

Retrieval of outgoing longwave radiation from COMS narrowband infrared imagery

Hourly outgoing longwave radiation(OLR) from the geostationary satellite Communication Oceanography Meteorological Satellite(COMS) has been retrieved since June 2010. The COMS OLR retrieval algorithms are based on regression analyses of radiative transfer simulations for spectral functions of COMS infrared channels. This study documents the accuracies of OLRs for future climate applications by making an intercomparison of four OLRs from one single-channel algorithm(OLR12.0using the 12.0 μm channel) and three multiple-channel algorithms(OLR10.8+12.0using the 10.8 and 12.0 μm channels; OLR6.7+10.8using the 6.7 and 10.8 μm channels; and OLR All using the 6.7, 10.8, and 12.0 μm channels). The COMS OLRs from these algorithms were validated with direct measurements of OLR from a broadband radiometer of the Clouds and Earth's Radiant Energy System(CERES) over the full COMS field of view [roughly(50°S–50°N, 70°–170°E)] during April 2011.Validation results show that the root-mean-square errors of COMS OLRs are 5–7 W m-2, which indicates good agreement with CERES OLR over the vast domain. OLR6.7+10.8and OLR All have much smaller errors(～ 6 W m-2) than OLR12.0and OLR10.8+12.0(～ 8 W m-2). Moreover, the small errors of OLR6.7+10.8and OLR All are systematic and can be readily reduced through additional mean bias correction and/or radiance calibration. These results indicate a noteworthy role of the6.7 μm water vapor absorption channel in improving the accuracy of the OLRs. The dependence of the accuracy of COMS OLRs on various surface, atmospheric, and observational conditions is also discussed.