2021年12月大气环流和天气分析

2021年12月大气环流的主要特征是:北半球极涡呈偶极型分布,东亚大槽偏西偏强,西太平洋副热带高压接近常年同期.12月,全国平均降水量为8.7 mm,比常年同期(10.5 mm)偏少17.1％;全国平均气温为-2.3℃,比常年同期(-3.2℃)偏高0.9℃.月内出现了3次冷空气过程和1次大范围持续性雾-霾天气过程,此外...     

2022年12月大气环流和天气分析

2022年12月大气环流的主要特征是:北半球极涡呈偶极型分布,东亚大槽偏强,环流形势有利于冷空气活动;南支槽偏弱,西太平洋副热带高压偏东,不利于降水天气的发展。12月,全国平均降水量为7.5 mm,较常年同期(11.9 mm)偏少37%;全国平均气温为-4.2℃,较常年同期(-3.0℃)偏低1.2℃。月内出现了4次冷空气过程,1次沙尘天气过程。冷空气活动频繁,全国大部地区大气扩散条件较好;11—13日沙尘天气过程强度强,发生时间偏晚。     

2020年12月大气环流和天气分析

2020年12月大气环流的主要特征是:北半球极涡呈偶极分布,环流呈三波型,欧亚中高纬度环流经向度大,东亚大槽偏强,南支槽偏弱。12月,全国平均降水量为5.8 mm,比常年同期(10.5 mm)偏少45.3%,全国平均气温为-3.9℃,比常年同期(-3.2℃)偏低0.7℃。月内共出现2次强冷空气过程、2次大范围降水过程和2次大范围雾-霾天气过程。其中27—31日,我国大部分地区遭遇寒潮天气,降温幅度大,影响范围广,多地最低气温突破历史极值。     

2019年12月大气环流和天气分析

2019年12月大气环流主要特征为:北半球极涡为偶极型分布,环流呈三波型,东亚槽略偏弱,南支槽偏强,且副热带高压位置偏西。12月,全国平均降水量为11.2 mm,较常年同期(10.5 mm)偏多6.7%;全国平均气温为-2.7℃,较常年同期(-3.2℃)偏高0.5℃。月内共出现3次较强降水过程和3次中等强度冷空气过程。另外,7—10日、20—26日我国中东部地区发生了两次持续性大范围雾-霾天气过程。     

2014年12月大气环流和天气分析

2014年12月大气环流特征如下：北半球极涡异常偏强,欧亚中高纬环流呈两槽一脊型,东亚大槽偏强,冷空气活跃;南支槽位于70°E附近,较常年同期明显偏西,不利于水汽向我国中东部地区输送;副热带高压较常年同期偏强,位置偏西、偏北。12月,全国平均降水量为7.9 mm,比常年同期(10.5 mm)偏少24.8%,其中华北、黄淮、江淮、江汉等地偏少8成以上。全国平均气温为-3.4℃,较常年同期(-3.2℃)偏低0.2℃;月内气温变化显著,呈“前冷后暖”的特点,上、中旬的气温较常年同期偏低1.0℃,下旬转为偏高1.1℃。月内,我国出现了5次明显的冷空气过程和4次雾霾过程以及1次大范围的降水过程。北方多地出现极端日降温事件,东北局地遭受雪灾;下旬中东部地区出现大范围、持续性的雾霾天气。     

2012年12月大气环流和天气分析

2012年12月主要环流特征如下:极涡呈单极型分布,中高纬环流经向度大,有利于引导冷空气南下;南支槽活跃,副热带高压强度偏强位置偏西.12月,全国平均降水量为17.6mm,较常年同期(10.5mm)偏多67.6％;全国平均气温-4.4℃,较常年同期(-3.2℃)偏低1.2℃,其中北京平均气温为历史同期最低值.月内,共有五次明显冷空气过程和四次降水过程影响我国;多个地区出现极端低温和极端日降温事件,北方部分地区遭受雪灾,江南、华南等地多阴雨寡照天气.     

2021年1月大气环流和天气分析

2021年1月大气环流的主要特征是:北半球极涡呈偶极型分布,欧亚中高纬度环流经向度大,东亚大槽偏西偏强,南支槽偏弱。1月,全国平均降水量为5.6 mm,比常年同期(13.2 mm)偏少58%,为1961年以来第四少;全国平均气温为-4.5℃,比常年同期(-5.0℃)偏高0.5℃。月内降水偏少,共出现1次强冷空气过程、2次沙尘天气过程和1次大范围持续性雾-霾天气过程。其中4—7日,我国中东部地区遭遇的强冷空气过程具有影响范围广、华北黄淮低温极端性显著、大风持续时间长等特点。     

2018年12月大气环流和天气分析

2018年12月大气环流主要特征为：北半球极涡为单极型分布,欧亚中高纬呈两槽一脊型,环流经向度大,有利于引导冷空气南下;南支槽偏强,且副热带高压位置偏西,有利于水汽向我国南方地区输送。12月,全国平均降水量为18.7 mm,较常年同期偏多73.1%;全国平均气温为-3.8℃,较常年同期（-3.2℃）偏低 0.6℃。月内共出现2次大范围降水过程、3次冷空气过程和2次雾 霾天气过程。其中,12月5—11日及12月27日至2019年1月1日,我国中东部地区出现两次大范围持续性低温雨雪天气,多地最低气温突破历史极值。     

2016年1月大气环流和天气分析

2016年1月大气环流主要特征为：北半球共有三个极涡中心,强度较常年同期偏强,欧亚中高纬环流经向度大,东亚大槽和南支槽均偏强。1月,全国平均降水量25.7 mm,较常年同期偏多94.7%,广东、广西和湖南三省(区)平均降水量偏多3.7倍,为1951年以来同期第一多。1月,全国平均气温-5.3℃,较常年同期（-5.0℃）偏低0.3℃,冷空气和降水活动频繁,共有5次降水过程和4次寒潮过程,其中,1月21—25日,我国大部地区遭受强寒潮天气。此次过程降温幅度大,影响范围广,多地最低气温跌破历史极值。1月28—29日,南方出现历史同期罕见的强暴雨天气过程。     

2015年3月大气环流和天气分析

2015年3月大气环流主要特征是:北半球极涡呈偶极型分布,位置较常年同期明显偏南,欧亚中高纬环流经向度较小,南支槽平均位置位于70°E附近;同时,西太平洋副热带高压较常年同期明显偏强、位置偏西.3月,全国平均降水量为21.8mm,较常年同期(29.5mm)偏少26.1％.全国平均气温为5.8℃,较常年同期(4.1℃)偏高1.7℃.月内,我国出现5次主要的冷空气过程和5次主要的降水过程.江南等地多阴雨天气,我国东部出现3次轻到中度雾-霾天气,北方出现5次沙尘天气过程.     

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.     

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.     

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.     

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.