塔克拉玛干沙漠腹地沙尘暴发生条件分析

利用塔中气象站1997—2002年的气象资料, 从沙尘源丰富程度、风动力条件和空气稳定度等方面分析了塔克拉玛干沙漠腹地沙尘暴的成因。结果表明:在塔克拉玛干沙漠腹地, 沙尘源极为丰富, 为沙尘暴发生提供了必要条件, 降水基本不能改变沙面的湿润状况, 沙尘源丰富度不是沙尘暴发生的限制因子; 风动力是沙尘暴发生的重要条件, 而月平均风速和大风日数是风动力的重要定量表征指标; 空气稳定性也是沙尘暴发生的重要条件, 温度和天气过程是其重要标志, 沙尘暴发生与温度呈正相关, 沙尘暴多发生在夏季和午后; 降水是沙漠腹地天气过程的重要指标, 月降水日数和降水总量与沙尘暴日数呈正相关; 20世纪90年代以来沙尘暴逐年减少, 这种变化趋势可能与全球气候变化有关。     

中国东北南部地区冬季气温异常的海气背景分析

利用1951—2005年中国沈阳、通化、营口、丹东气温和北半球500 hPa高度及北太平洋海温资料,分析了中国东北南部地区冬季气温的异常变化及其海气背景。结果表明:中国东北南部地区冬季气温具有明显的年代际变化特征;冬季异常冷暖年份,其同期与前期500 hPa高度和海温距平场分布具有明显不同;前期春季(3—5月)贝加尔湖高压和西太平洋副热带高压的强弱变化,西风漂流区海温、赤道东太平洋关键区海温及2个海区海温距平差,对中国东北南部地区冬季气温的异常变化均具有较好的预测指示意义。前期夏季(7—9月)赤道东太平洋关键区海温对中国东北南部地区冬季气温异常变化具有指示性。     

种植不同作物对农田N2O和CH4排放的影响及其驱动因子

以种植玉米(Zea mays)、大豆(Glycine max)和水稻(Oryza sativa)的农田生态系统为研究对象,于2003年6~10月系统观测了N2O和CH4的排放、土壤温度和湿度以及相关的生物学因子。玉米和水稻分别施化肥氮300 kg.hm-2,大豆未施氮肥。研究结果表明,作物类型对农田N2O和CH4排放具有显著的影响。土壤-玉米系统、土壤-大豆系统和土壤-水稻系统的N2O季节性平均排放通量分别为620.5±57.6、338.0±7.5和238.8±13.6μg.m-2.h-1(N2O)。种植作物促进了农田生态系统的N2O排放,玉米地土壤和裸地土壤的N2O平均排放通量分别为364.2±11.7和163.7±10.5μg.m-2.h-1(N2O)。土壤-玉米系统、土壤-水稻系统、玉米地土壤和裸地土壤N2O排放受土壤温度的影响,与土壤湿度无显著统计相关,但受土壤温度和水分的综合影响。土壤-大豆系统N2O排放随作物绿叶干重的增加而指数增加,与土壤温度和水分条件无统计相关,由大豆作物自身氮代谢所产生的N2O-N季节总量约为6.2 kg.hm-2(N)。土壤-水稻系统CH4平均排放通量为1.7±0.1 mg.m-2.h-1(CH4),烤田抑制了稻田CH4的排放。烤田前影响稻田CH4排放的主要因素是水稻生物量,烤田后的浅水灌溉及湿润灌溉阶段的CH4排放与土壤温度和水稻生物量无关。本研究未观测到旱作农田有吸收CH4的现象。     

南半球冷空气爆发对华南连续性暴雨影响的个例分析

2005年6月17—24日,华南地区发生了连续多日的暴雨天气过程,给该地区带来了严重的洪涝灾害,在此期间南半球有较强的冷空气活动。为了弄清南半球冷空气对这次连续多日暴雨过程的影响及其物理途径,利用NCEP每6小时1°×1°经纬度的再分析资料、逐小时的TBB以及华南地区地面降水等资料,以这次连续性暴雨天气过程为例,初步分析了南半球冷空气爆发在华南地区暴雨形成中的作用。结果发现：在500hPa西风带低压槽的诱导下,马斯克林高压向东移动并登陆澳大利亚,促使南半球冷空气爆发,加大了40～60°E、60～70°E和85～95°E等通道的越赤道气流,它们转向后汇向华南地区,增强了华南南部和南海北部地区的低空急流和暴雨区的水汽输送,这是华南地区连续多日暴雨的主要原因之一。     

Cloud condensation nuclei measurements at Mace Head, Ireland, over the period 1994–2002

Analyses of cloud condensation nuclei (CCN) number concentrations (cm^− 3) measured at the Mace Head Atmospheric Research Station, near Carna, County Galway, Ireland, using a DH Associates Model M1 static thermal diffusion cloud chamber over the period from March 1994 to September 2002 are presented in this work. Air masses are defined as being ‘marine’ if they originate from a wind direction of 180–300° and ‘continental’ air masses are defined as originating from a wind direction of 45–135°. Air masses without such filtering were classified as ‘undefined’ air masses. Air masses were found to be dominated by marine sector air, re-affirming Mace Head as a baseline atmospheric research station. CCN levels for specific air masses at Mace Head were found to be comparable with earlier studies both at Mace Head and elsewhere. Monthly averaged clean marine (wind direction of 180–300° and black carbon absorption coefficient < 1.425 Mm^− 1) CCN and marine CCN varied between 15–247 cm^− 3 and 54–670 cm^− 3, respectively. As expected, significant increases in number concentration were found in continentally sourced CCN over that of marine CCN and were found to follow a log-normal distribution significantly tighter than that of clean marine air masses. No significant trend was found for CCN over the 9-year period. While polluted continental air masses showed a slight increase in CCN concentrations over the winter months, most likely due to increased fuel usage and a lower mixed boundary layer, the dominance of marine sector air arriving at Mace Head, which generally consists of background CCN concentrations, reduced seasonal differences for polluted air. Marine air showed a distinct seasonal pattern, with elevated values occurring over the spring and summer seasons. This is thought to be due to enhanced biogenic aerosol production as a result of phytoplankton bloom activity in the North Atlantic.     

Estimation of Turbulent Fluxes Using the Flux-Variance Method over an Alpine Meadow Surface in the Eastern Tibetan Plateau

The flux-variance similarity relation and the vertical transfer of scalars exhibit dissimilarity over different types of surfaces,resulting in different parameterization approaches of relative transport efficiency among scalars to estimate turbulent fluxes using the flux-variance method.We investigated these issues using eddycovariance measurements over an open,homogeneous and flat grassland in the eastern Tibetan Plateau in summer under intermediate hydrological conditions during rainy season.In unstable conditions,the temperature,water vapor,and CO2 followed the flux-variance similarity relation,but did not show in precisely the same way due to different roles(active or passive) of these scalars.Similarity constants of temperature,water vapor and CO2 were found to be 1.12,1.19 and 1.17,respectively.Heat transportation was more efficient than water vapor and CO2.Based on the estimated sensible heat flux,five parameterization methods of relative transport efficiency of heat to water vapor and CO2 were examined to estimate latent heat and CO2 fluxes.The strategy of local determination of flux-variance similarity relation is recommended for the estimation of latent heat and CO2 fluxes.This approach is better for representing the averaged relative transport efficiency,and technically easier to apply,compared to other more complex ones.     

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.     

基于TIGGE多模式集合的24小时气温BMA 概率预报

利用TIGGE(THORPEX Interactive Grand Global Ensemble)单中心集合预报系统(ECMWF、United Kingdom Meteorological Office、China Meteorological Administration和NCEP)以及由此所构成的多中心模式超级集合预报系统24小时地面日均气温预报,结合淮河流域地面观测率定贝叶斯模型平均(Bayesian model averaging,BMA)参数,从而建立地面日均气温BMA概率预报模型.由此针对淮河流域进行地面日均气温BMA概率预报及其检验与评估,结果表明BMA模型比原始集合预报效果好;单中心的BMA概率预报都有较好的预报效果,其中ECMWF最好.多中心模式超级集合比单中心BMA概率预报效果更好,采用可替换原则比普通的多中心模式超级集合BMA模型计算量小,且在上述BMA集合预报系统中效果最好.它与原始集合预报相比其平均绝对误差减少近7%,其连续等级概率评分提高近10%.基于采用可替换原则的多中心模式超级集合BMA概率预报,针对研究区域提出了极端高温预警方案,这对防范高温天气有着重要意义.     

2012年11月大气环流和天气分析

2012年11月环流特征如下:北半球极涡呈单极性分布,中心位于加拿大北部地区;欧亚中高纬环流经向度较大;南支槽平均位置大致位于90°E附近,且东移频繁;同时,副热带高压较常年同期偏强,位置偏西、偏北.11月,全国平均降水量为31.7 mm,比常年同期(18.8 mm)偏多68.6％.全国平均气温为2.0℃,比常年同期(2.9℃)偏低0.9℃.月内,出现4次全国范围中等强度冷空气过程和3次暴雨过程;华北、东北和内蒙古地区出现大范围强降雪和降温天气,其中华北大部地区出现今年冬半年首场降雪天气,京津地区、河北、内蒙古等地均出现极端降水;江南、华南出现持续阴雨寡照天气.     

Trend and Interannual Variability of Chinese Air Pollution since 2000 in Association with Socioeconomic Development: A brief Overview

air pollution, trend and variability, socioeconomic development, satellite measurements, bottom-up emission inventories, top-down constraints