青藏高原地气耦合系统及其天气气候效应:第三次青藏高原大气科学试验

由于青藏高原(简称高原)是影响中国极端天气和气候事件的关键区,对天气、气候预报有重要影响。因此,中国气象局、国家自然科学基金委员会、中国科学院共同推动了"第三次青藏高原大气科学试验(TIPEX-Ⅲ)"工作。自2013年的预试验开始, TIPEX-Ⅲ在高原西部狮泉河、改则和申扎新建全自动探空系统,填补了高原西部缺少常规探空站的空白;在高原中、西部建成土壤温、湿度观测网;实施了高原尺度和那曲区域尺度的边界层观测,那曲多型雷达和机载设备的云降水物理特征综合观测,高原多站的对流层-平流层大气成分观测。在研究成果方面,项目结果指出,在高原中、西部草原、草甸和裸土下垫面状况下地表热量湍流交换系数和感热通量明显低于过去较早的估计值;高原主体的对流云活动主要不是来自南亚季风区的向北传播,而可能是局地发展所致;揭示出那曲对流云日变化特征、云宏微观特征以及云中水不同相态之间的转化机制,提出了夏季高原加热在维持亚洲大气"水塔"中的作用,以及高原加热对亚洲、非洲、北美洲气候的调节作用。在数值预报模式中,Γ分布比M-P分布更适合于高原雨滴谱特征,通过改进高原热传导过程参数化方案可以降低模式中高估的地表感热,并提升模式对中国中、东部雨带的模拟能力;此外,考虑青藏高原关键区信号可以提升中国中、东部降水的预报技巧。TIPEX-Ⅲ还带动了地面和高空常规观测、天气业务雷达和风廓线雷达等观测数据加工处理业务技术的发展,提升了中国国家级土壤湿度、水汽含量等遥感产品和高分辨率多源降水融合产品的质量,促进了气象监测、预报和数据共享业务的发展。

汛期西南涡暴雨的数值模拟研究

利用西南区域数值预报模式系统SWCWARMS,结合全国汛期高空加密观测资料,对2013年6月29—30日的一次西南涡暴雨过程进行数值模拟和敏感性试验。结果表明,与控制试验相比,同化试验模拟的降雨与实况更为接近,并成功模拟出四川东部的强降雨中心,对于西南涡的模拟,同化试验西南涡出现时间更早,强度更强。并且,通过两组试验初值差异对比发现,同化试验初值在四川盆地对流层中低层表现出更强的低压,更强的涡度以及更强的旋转风扰动,四川盆地西部边坡也存在更强的上升气流,这都有利于西南涡的发生、发展。另外,同化汛期高空加密观测资料对强降雨中心单站的预报改进也较明显。因此,加强汛期加密气象观测,有利于揭示西南涡的发生、发展及其降雨天气影响,也有助于提升数值预报业务技术水平。

四川盆地大气气溶胶污染时空变化的地形影响研究进展

四川盆地作为我国一个特殊的大气气溶胶污染区域,亟待厘清其大气污染时空变化与独特盆地地形影响相关机理。本文综述了近年来一系列相关研究成果,包括:(1)揭示了四川盆地大气环境变化中大地形影响作用,青藏高原东侧区域气溶胶空间分布“避风港”效应,以及大地形热力强迫对盆地空气质量变化的“气候调节”影响;(2)探明了四川盆地大气边界层结构对大气气溶胶变化的影响,冬季重霾期间大气边界层垂直结构变化特征及其相关PM_(2.5)物理化学特性;(3)明晰了大气气溶胶在四川盆地暴雨过程中的重要作用机理,以及四川盆地气溶胶高污染分布导致的降水分布型态的气候变化。这些研究提升了四川盆地气溶胶污染形成机理及大地形对大气环境变化影响效应的科学认识,并表明未来应该深入研究四川盆地地形背景下独特大气边界层结构,人为与自然源排放和环境大气物理-化学过程变化。

四川暴雨过程中盆地地形作用的数值模拟

利用WRF-Chem模拟了2012年7月20日一次四川盆地暴雨降水过程,并基于控制试验设置填充四川盆地地形的敏感性试验。利用大气动力-热力学和云降水物理学对两试验差异进行诊断分析,与敏感性试验相比,控制试验虽然延迟强降水出现时间,却增强了降水强度。研究表明:偏南气流自南向北经过盆地时,在四川盆地南部形成正涡度扰动中心,延迟水汽、能量到达盆地北部的时间,使强降水出现时间偏晚;地形高度及动力差异使控制试验近地面累积大量水汽、能量,低层能量到达盆地北部迎风坡后受地形抬升与正涡度扰动共同作用激发了强烈的对流;控制试验中,盆地北部大气强烈对流运动及其携带盆地内大量水汽有利于云系的垂直发展,雨滴、雪晶、霰粒子质量浓度明显增大,使降水强度增强至大暴雨量级。

WRF模式对青藏高原那曲地区大气边界层模拟适用性研究

采用WRF(Weather Research and Forecasting)模式4种边界层参数化方案对青藏高原那曲地区边界层特征进行了数值模拟,并利用"第三次青藏高原大气科学试验"在青藏高原那曲地区5个站点的观测资料对模拟结果进行验证,分析不同参数化方案在那曲地区的适用性。研究表明,YSU、MYJ、ACM2和BouLac方案对2 m气温和地表温度的模拟偏低。BouLac方案模拟的地表温度偏差较小。通过对能量平衡各分量的对比分析发现,温度模拟偏低可能是向下长波辐射模拟偏低以及感热通量和潜热通量交换过强导致的。对于边界层风、位温和相对湿度垂直结构的模拟,局地方案的模拟效果均优于非局地方案。BouLac方案对那曲地区近地层温度、边界层内位温和相对湿度的垂直分布模拟效果较好。

夏季青藏高原对流系统移出高原的气象背景场分析

利用1998—2004年6—8月共21个月的ISCCP对流路径集资料,结合NCEP/NCAR再分析资料和TRMM 3B42降水资料,采用合成统计分析方法,对夏季生成于青藏高原(高原)地区的对流系统进行了分类对比分析,目的在于研究各类高原对流系统动热力场的水平和垂直结构特征,探讨各类对流系统能否移出高原的气象背景场差异。结果表明,夏季高原对流系统主要生成于青藏高原中东部,存在两个高发中心。夏季高原对流系统按照对流系统的移动路径可以分为未移出高原、向南移出高原和向东移出高原3类。高原对流系统的移动、发展和生成源地没有直接关系,主要决定于气象背景场。当生成的高原对流系统上升运动强、水汽条件优越时,其强度不断增大,利于对流系统维持发展并移出高原,如果这类高原对流系统处于强西风气流控制下,容易向东移出高原,如受较强偏北风气流影响,则容易向南移出高原;而当生成的高原对流系统上升运动弱、水汽条件不理想时,其强度不断减弱,不利于对流系统发展移动,高原对流系统在高原区逐渐消亡。

不同黑碳减排情景对北京霾污染过程的影响评估研究

文中利用2015年北京城区黑碳气溶胶和PM2.5等相关,选取2015年1月13~16日京津冀地区发生的一次重污染过程,评估了京津冀地区黑碳气溶胶减排对北京地区PM2.5控制效果。结果表明:京津冀地区排放的黑碳气溶胶对本次重污染过程PM2.5质量浓度有明显的贡献,对北京城区PM2.5质量浓度的贡献率高达20%。黑碳减排对降低本次重污染过程峰值日北京城区PM2.5质量浓度有明显效果:相同区域进行黑碳气溶胶减排时,污染峰值日当天开始减排对降低北京城区峰值日PM2.5质量浓度的效果最佳;相同时间启动黑碳气溶胶减排时,廊坊、沧州、衡水以及天津西北等地区的减排对降低北京城区峰值日PM2.5质量浓度的效果最为突出。

前言——国家自然科学基金重大研究计划“青藏高原地-气耦合系统变化及其全球气候效应”专题

青藏高原(以下简称高原)是世界上海拔最高的高原,平均海拔超过4000 m,其覆盖面积约占我国陆地领土的四分之一。高原群山起伏,山谷纵横交错,地表状况和地—气交换的物理过程极其复杂。高原的复杂地形通过其热力和动力作用对高原及邻近地区乃至全球的环流系统和天气气候产生巨大影响。特别是近几十年以来高原主体部分发生了异常显著的气候增暖,其幅度明显超过北半球平均状况和同纬度其他地区,被公认为是对全球变化响应最显著的地区之一。因此,探究高原的气候影响已成为全球气候变化研究的科学前沿。然而,由于观测资料的缺乏、气候系统模式的偏差以及物理认识的不足,当前对高原能量和水分交换及其气候影响的认识仍然有限。

青藏高原能量、水分循环影响效应

青藏高原是世界上总辐射量最高的地区,也是全球超太阳常数的极值区域之一。此处形成了一个“嵌入”对流层中部大气的巨大的热源,可以伸展到自由大气,其超越了世界上任何超级城市群落所产生的中空热岛效应,对全球与区域大气环流系统变化的动力“驱动”产生了难以估计的效应。与地形热力过程季节变化密切相关的亚洲夏季风是世界上范围最广和强度最强的季风;从冬季到早春季节转换过程中,由于太阳辐射的影响造成青藏高原大地形感热的“快速响应”及其相对高值动态移动,在盛夏梅雨及其云降水带前沿线恰好停滞于中国“三阶梯”地形分布山地—平原过渡区。此现象表明,青藏高原可能扮演着夏季风过程陆地—海洋—大气相互作用的关键角色。中国区域低云量与总云量极值区均与青藏高原大江大河的源头(长江、澜沧江、雅鲁藏布江等)、中东部湖泊群与冰川集中区空间分布几乎吻合,这表明“亚洲水塔”形成的关键因素与“世界屋脊”特有的云降水结构不可分割。研究表明,青藏高原大气热源对局地与下游区域云降水过程水汽输送流型等均有显著影响。长江流域降水与全国低云量存在一个明显沿长江流域的带状高相关结构,充分表明长江流域降水与上游“亚洲水塔”“热驱动”以及对流系统具有重要相关关系。从跨赤道经向环流的视角可发现,夏季南、北半球跨赤道气流低层强偏南、高层强偏北气流出现在东亚地区和北美区域两大地形对应的赤道区,这2个跨赤道极值区恰与青藏高原、落基山高原位置相对应。青藏高原纬向与经向环流圈结构与区域-全球大气环流相关机制,印证了“世界屋脊”隆起大地形的“热驱动”及其对流活动在全球能量、水分循环的作用。青藏高原特殊水汽三维结构分布和跨半球的纬向和经向大气垂直环流图表明青藏高原对全球尺度大气环流变化的贡献显著。文章进一步以东亚、全球水循环的视角,提出了青藏高原作为全球性大气“水塔”的观念,认为在高原地区一个水塔的“供水”和“蓄水”循环体系,特别是高原地表冰川、积雪和湖泊作为“蓄水池”系统,使得所有的河流可作为“输水管道”,将“水塔”的水向周边区域输送出去,高层大气也提供向外输送的渠道。青藏高原特殊的跨半球大气水分循环可构建“世界水塔”与其周边地区独特的水文功能概念,综合描绘了青藏高原“世界水塔”及其地球上一个完整的行星尺度陆地—海洋—大气水分循环物理图像。

基于CMAQ模式的自适应“nudging”源反演方法的中国主要污染区排放特征分析

中国中东部地区的空气污染主要集中在京津冀、长三角、珠三角、东北地区及汾渭平原等区域,各区域的污染排放特征各异.本文应用基于CMAQ(The Community Multiscale Air Quality)模式的自适应“nudging”源反演方法,反演中国中东部地区2016年12月—2017年1月逐日NOx污染源,分析上述主要污染区的污染物排放强度空间分布特征,并与2016年MEIC(The Multi-resolution emission inventory for China)排放源进行比较,检验反演源的可靠性.结果表明,2016年冬季各个区域反演源NOx排放强度空间分布特征与2016年MEIC排放源基本一致.京津冀地区高强度排放区域形成沿山前区域东北-西南走向的NOx高强度排放带;长三角地区NOx高强度排放区域位于常州、苏州、上海和湖州等城市构成的城市群;珠三角地区NOx高强度排放区域位于以广州为中心的大范围城市群且排放强度呈现向四周逐渐降低的放射状分布;东北地区NOx高强度排放区域空间分布特征呈现以城市为中心且稀疏分布;汾渭平原排放区域呈现以城市为中心且向峡谷中间集中分布,排放区域轮廓与汾渭平原狭长的新月状相符.

An emission source inversion model based on satellite data and its application in air quality forecasts

This paper aims at constructing an emission source inversion model using a variational processing method and adaptive nudging scheme for the Community Multiscale Air Quality Model (CMAQ) based on satellite data to investigate the applicability of high resolution OMI (Ozone Monitoring Instrument) column concentration data for air quality forecasts over the North China. The results show a reasonable consistency and good correlation between the spatial distributions of NO2 from surface and OMI satellite measurements in both winter and summer. Such OMI products may be used to implement integrated variational analysis based on observation data on the ground. With linear and variational corrections made, the spatial distribution of OMI NO2 clearly revealed more localized distributing characteristics of NO2 concentration. With such information, emission sources in the southwest and southeast of North China are found to have greater impacts on air quality in Beijing. When the retrieved emission source inventory based on high-resolution OMI NO2 data was used, the coupled Weather Research Forecasting CMAQ model (WRF-CMAQ) performed significantly better in forecasting NO2 concentration level and its tendency as reflected by the more consistencies between the NO2 concentrations from surface observation and model result. In conclusion, satellite data are particularly important for simulating NO2 concentrations on urban and street-block scale. High-resolution OMI NO2 data are applicable for inversing NOx emission source inventory, assessing the regional pollution status and pollution control strategy, and improving the model forecasting results on urban scale.

Extreme precipitation events in East China and associated moisture transport pathways

Interannual variation of summer precipitation in East China, and frequency of rainstorms during the monsoon season from 1961 to 2010, are analyzed in this study. It is found that the two variables show opposite trends on a decadal time scale: frequency of rainstorms increases significantly after the 1990 s, while summer precipitation in East China decreases during the same period. Analysis of the spatial distribution of summer rainstorm frequency from 1961 to 2010 indicates that it decreases from the southeast to the northwest at the east edge of the large-scale topography associated with the plateaus. Spatial distribution of rainstorms with daily rainfall greater than 50 mm is characterized by a "high in the southeast and low in the northwest" pattern, similar to the staircase distribution of the topography. However, the spatial distribution of variation in both summer precipitation and frequency of extreme rainstorms under global warming differs significantly from the three-step staircase topography. It is shown that moisture characteristics of summer precipitation and extreme rainstorms during the monsoon season in East China, including moisture transport pathways, moist flow pattern, and spatial structure of the merging area of moist flows, differ significantly. Areas of frequent rainstorms include the Yangtze River Valley and South China. Column-integrated moisture transport and its spatial structure could be summarized as a "merging" of three branches of intense moist flows from low and middle latitude oceans, and "convergence" of column-integrated moisture fluxes. The merging area for moist flow associated with rainstorms in the high frequency region is located slightly to the south of the monsoonal precipitation or non-rainstorm precipitation, with significantly strong moisture convergence. In addition, the summer moist flow pattern in East China has a great influence on the frequency of extreme rainstorms. Moisture flux vectors in the region of frequent rainstorms correspond to vortical flow pattern. A comparison of moisture flux vectors associated with non-rainstorms and rainstorms indicates that the moist vortex associated with rainstorms is smaller in size and located to the south of the precipitation maximum, while the moist vortex associated with non-rainstorms is larger and located to the north. It is shown that column-integrated moist transport vortices and the structure of moist flux convergence have significant impacts on the north-south oscillation of frequent rainstorm areas in East China, which is synchronized with the maximum vorticity of moisture transport and the minimum of convergence on the decadal time scale. Synthesis of moisture transport pathways and related circulation impacts leads to a conceptual model of moisture flow associated with rainstorms.

Regional characteristics of the interdecadal turning of winter/summer climate modes in Chinese mainland

Tomé and Miranda’s climate trend turning discriminatory model is used to identify the spatial-temporal characteristics of the interdecadal turning of winter/summer climate modes at stations and in eight sub-areas over Chinese mainland based on the 1961–2000 observations. It is found that the stations with close occurrence years of the interdecadal trend turning (ITT) and coincident trends after the ITT exhibit a zonal distribution. A view is accordingly proposed that the interdecadal turnings of climate modes in China have remarkably regional structures. The research results show that after the early 1980s, winter climate over Chinese mainland overall trends towards a “warm-wet” mode, while summer climate had an abrupt change into “warm wet” mode in the late 1980s, suggesting that the time of the “warm-wet” mode turning for winter climate is earlier than that for summer climate. The regional characteristics and test results of the ITTs in eight sub-areas suggest that winter climate exhibits a distinctive “warm-dry” trend in North China after the late 1970s, and a slight “warm-dry” trend in Northeast China, South China, and Southwest China after the late 1980s. A “warm-wet” trend appears in the rest four sub-areas (the middle and lower reaches of the Yangtze River and the Huaihe River Valley, briefly Jianghuai, the east of the Tibetan plateau, and the east and west of Northwest China) after the early 1980s. The summer climate trends towards a “warm-dry” mode in Northeast China, North China and the east of Northwest China after the late 1980s, but a “warm-wet” mode appears in Southwest China and the east of the Tibetan plateau after the middle 1970s, as well as in Jianghuai and the west of Northwest China after the early 1980s. Specially, summer climate in South China started a “cold-wet” trend in 1984.

Study on variational aerosol fields over Beijing and its adjoining areas derived from Terra-MODIS and ground sunphotometer observation

This paper presents a comprehensive observa-tion technique on derived aerosols data from mobile sun-photometer graph and Terra-Moderate Resolution Imaging Spectroradiometer (MODIS) observation. Research results suggest that after being treated by the variational technique with respect to sunphotometer observations, the Terra- MODIS remote sensing aerosol data are remarkably im-proved, thus for the first time revealing features of the influ-ence of aerosols and pollution emissions of Beijing and its adjoining areas (Hebei, Shandong, etc. provinces). The re-gional impact features of aerosols are related with the pe-ripheral U-shape topography of Beijing. Analyses with Hy-brid Single Particle Lagrangian Integrated Trajectory model (HYSPLIT-4) and meteorological data in the case studied confirm the pollutants diffusion process along the trajectory from the sources in the south-west region, and the regional aerosol impact features.

Aerosol influence domain of Beijing and peripheral city agglomeration and its climatic effect

The aerosol distribution in Beijing and peripheral cities agglomeration (BPCA) and its re- gional climatic effect are investigated on the basis of the statistical analyses of satellite Total Ozone Map- ping Spectrometer (TOMS) retrieval aerosol optical depth (AOD) and the meteorological data of sunshine duration, fog days, and low cloud cover, observed at Beijing and its peripheral meteorological stations. The analysis on multi-samples variational correction of the satellite remote sensing Moderate Resolution Imaging Spectroradiometer (MODIS) AOD under the clear sky and stable weather condition in conjunction with surface observations reveal that there was a “triangle-like” distribution pattern of the high values of aerosols in the southern “valley” of the “U-shape” megarelief of Beijing and its peripheral areas. The distribution pattern suggests that the large-scale transfer and diffusion of city agglomeration pollutants might form a relatively persistent characteristic spatial distribution of city agglomeration pollutants much larger than city-scale. Under the background of the particular megarelief effect of Beijing and periph- eral areas, the high value area of TOMS AOD, as well as regional correlation distribution between clear sky sunshine duration and TOMS AOD are also similar to the composite image of MODIS AOD variational fields, that is to say, the effect of atmospheric aerosols was very distinctive in Beijing and peripheral areas. The high value area of the negative correlation between clear sky sunshine duration and TOMS AOD ap-proximately accorded with the significant negative value area of the sunshine duration deviations of the 1980s to the 1990s, and the daily variations of the AOD also showed an anti-phase relation with those of clear sky sunshine duration. The above high cor- relation area of the urban aerosol impact of Beijing- Tianjin region leant towards south peripheral area, with its “center of gravity” in the south of Beijing- Tianjin agglomeration, and the main body of the high correlation area prolongating southwards, forming an aerosol influence domain of “eccentric ellipse” shape, that is to say, there was an aerosol influence domain of some “radius” in Beijing City and its peripheral areas, within and outside which sunshine duration, low cloud cover, and fog days showed a remarkable difference in interannual variation trend. At the downstream of the city agglomeration there was a significant interdecadal increment area of fog or low cloud cover, which might be associated with the local climatic feature of the regional flow convergent field in the diffusion process of city agglomeration pollut- ants in the aerosol influence domain, and such a local dynamical convergence feature might lead to the regional exacerbation of aerosol impact downstream of the city agglomeration. The research result reveals that the significant area of interdecadal change rate of low cloud cover within the aerosol influence do- main is correlated with the regional strengthening effect of aerosol impact of the local wind structure in the “downstream plume area” of the city.

Structures of convection and turbulent kinetic energy in boundary layer over the southeastern edge of the Tibetan Plateau

Based on a comprehensive analysis on Sonic Anemometer and gradient data, wind profile radar(WPR) and GPS sounding data of March–August 2008 from the boundary layer(BL) tower observation system at Dali on the southeastern edge of Tibetan Plateau(TP), it is found that the strengths of turbulent kinetic energy(TKE), buoyancy term and shear term depend on vegetation cover in association with local stability and thermodynamic condition. Strong kinetic turbulence appears when near surface layer in neutral condition with the large contribution from shear term. In an unstable condition within near surface layer, the atmospheric turbulent motion is mainly thermal turbulence, as buoyancy term is obviously larger than shear term. Under a stable condition the intermittent turbulence is accompanied by weak shear and buoyancy term, and TKE is significantly less than neutral or instable condition. The study also presents that the buoyancy term contribution at Nyingchi station in the southern slopes of the TP large topography in spring is significantly larger than that at Dali over the southeastern TP edge, reflecting that the thermal turbulence makes an important contribution to convection activity in the southern slopes of TP. Dali station is located in complex terrain with mountain and valley leading to larger kinetic turbulence. From the perspective of interaction of turbulence-convection in different scales, the study revealed that the height of convective boundary layer(CBL) could reach up to 1500–2000 m. TKE, shear term, and buoyancy term in near surface layer have the notable correlations with BL height and local vertical motion. The daytime thermodynamic turbulence effect of heat flux and buoyancy term has an obvious impact on the height of CBL, whereas mechanical turbulence only exerts a less impact. Mechanical turbulence in near surface layer has a significant impact on vertical motion especially in the forenoon with impacting height of 2500–3000 m. The peaks in diurnal variations of shear term and buoyancy term correspond to the high instable periods, especially in summer forenoon. Our observation analysis characterized the convection activity triggered by TKE source and their interaction in the southeastern TP edge.

The early-warning effects of assimilation of the observations over the large-scale slope of the “World Roof” on its downstream weather forecasting

To improve the numerical simulation of the severe snow storms occurred in the south of China and the middle/lower reaches of Changjiang River during January of 2008, the observations from the automatic weather stations (AWS) over the Qinghai-Xizang Plateau (QXP) and its surrounding areas were assimi-lated into the Weather Research and Forecasts (WRF) model using multi-cycle 3-dimensional varia-tional data assimilation (3DVAR). Due to the large-scale special topography of the QXP and its sur-rounding areas which may reach up to the mid-troposphere, the AWS located at different height on the deep slope of the plateau are different to those located on plains and take a role analogous in some extent to that of radio soundings in obtaining the vertical "profile" information of the atmosphere, and have the advantages in the aspects of sampling frequency, location/height fixing, and synchronization. The information captured by these AWS may carry the early-warning "strong signals" in the upstream sensitive area for the downstream weather systems to the east of the plateau and thus the assimilation of these AWS data is expected to lead to significant improvements on the simulation of the severe weather system occurred in its downstream areas through adjusting the 3-dimensional structures of the atmospheric thermal-dynamics for the initial conditions of the model. This study indicates that the assimilated information of moisture, temperature and pressure carried in the observations of AWS over the Qinghai-Xizang Plateau and its surrounding areas is very important and useful in the forecasting of precipitation in its downstream areas.