水汽和潜热释放对背风波影响的数值试验

利用中尺度数值模式ARPS进行了理想场的数值模拟,分析研究了水汽和潜热释放对大气层结稳定度的影响以及其在背风波的发展和演变过程中的作用,研究发现,潜热释放对大气层结分布的影响要远大于水汽对大气层结分布的直接影响,如果没有潜热的释放,水汽对背风波的发展和演变的作用非常小,而潜热释放可以使湿层结稳定度急剧下降,迅速破坏原有的层结分布,使这个区域出现非拦截的强烈的垂直运动,波动的崩溃更加迅速和明显。但需要说明的是在试验中,将数值模式里控制潜热释放的参数设为:0、1/2、2的假定情况,则在实际的大气运动过程中是不可能存在的。     

GPS探测与FY-2反演大气可降水量对比分析

为深入了解FY-2卫星大气可降水量(PW)的反演质量,文章选取2012和2015年地基GPS水汽观测数据,与FY-2的PW反演产品进行了对比分析。结果表明:(1)北京、武汉和海口三站GPS/PW(PW_(GPS))与FY-2/PW(PW_(FY-2))在夏季存在显著正相关,三站的相关系数都达到0.67以上,夏季PW的均方根误差值、月平均偏差绝对值均小于冬季。北京与武汉站PW平均偏差和均方根误差在四季均具有明显日变化特征;(2)当PW_(GPS)20 mm时,北京、武汉、海口和拉萨站FY-2/PW与GPS/PW比较一致,PW偏差均值的绝对值和均方根误差较小,当PW_(GPS)20 mm时,PW偏差均值绝对值和均方根误差随PW_(GPS)值减小而迅速变大。FY-2的PW产品在夏季可以为大部分区域提供高时空分辨率、高精度的大气可降水量,在大气湿度非常低、冬季和夜间条件,反演结果精度有待提高。     

The North Atlantic oscillation simulated by versions 2 and 4 of IAP/ LASG GOALS Model

The capabilities of two versions of the Global-Ocean-Atmosphere-Land-System model (i.e. GOALS-2 and GOALS-4) developed at State Key Laboratory of Atmospheric Sciences and Geophysical Fluid Dynamics (LASG), are validated in terms of the simulations of the winter North Atlantic Oscillation (NAO), which is currently the subject of considerable scientific interest. The results show that both GOALS-2 and GOALS-4 exhibit a realistic NAO signal associated with relatively reasonable spatial pat-terns of sea level pressure, surface air temperature, and precipitation. Generally speaking, the associated pat-terns of precipitation in GOALSs match better with the observation in comparison with the case of surface temperature. For the imprint of NAO on the ocean, or perhaps a coupling between the two fluids, the asso-ciated tripole patterns of the North Atlantic SST anomaly are presented distinctly in GOALS-2, for GOALS-4 however, this is not the case. Spatially, the models’ main deficiencies appear to be that the simu-lated Icelandic lows shift northward apparently, which in turn result in the blemish of GOALSs in repro-ducing the accompanied surface wind anomalies. For the interannual and even longer time scale variations of DJF sea level pressure (SLP) over the North Atlantic region. GOALSs reproduce the center with the strongest variability rationally, but the intensities are far weaker than the observation.     

2000-2018年东亚地区云顶高度的时空变化特征

为了了解区域云顶高度对过去气候变化的响应,基于卫星搭载的MODIS传感器提供的2000年3月至2018年2月MOD03_08_v6.0数据,分析了东亚地区云顶高度2000—2018年的时空变化特征,并探讨其长期变化的原因。研究发现,东亚地区云顶高度呈西南高东北低的特征。云顶高度在东亚地区以0.020 km/a的变率增长,其中大陆东部云顶高度的年际变率为0.035 km/a,东部海域年际变率为0.034 km/a。在东部海域地区云顶高度的变化同海表温度的变化相关性较高,相关系数为0.68,这表明云顶高度的变化受下垫面的影响。在东亚地区30°~40°N区域内,年平均云顶高度的增加较为明显。此外,夏季云顶高度在长江中下游盆地、塔里木盆地、吐鲁番盆地以及四川盆地东北部呈-0.03 km/a的减少趋势,这是由于更多低云的形成降低了云顶高度;冬季云顶高度在东亚地区40°N以北呈下降趋势,而在40°N以南呈增加趋势。     

SIMULATION OF BOUNDARY LAYER EFFECTS ON A HEAVY RAINFALL EVENT CAUSED BY A MESOSCALE CONVECTIVE SYSTEM OVER THE YELLOW RIVER MIDSTREAM AREA

A heavy rainfall event caused by a mesoscale convective system (MCS), which occurred over the Yellow River midstream area during 7–9 July 2016, was analyzed using observational, high-resolution satellite, NCEP/NCAR reanalysis, and numerical simulation data. This heavy rainfall event was caused by one mesoscale convective complex (MCC) and five MCSs successively. The MCC rainstorm occurred when southwesterly winds strengthened into a jet. The MCS rainstorms occurred when low-level wind fields weakened, but their easterly components in the lower and boundary layers increased continuously. Numerical analysis revealed that there were obvious differences between the MCC and MCS rainstorms, including their three-dimensional airflow structure, disturbances in wind fields and vapor distributions, and characteristics of energy conversion and propagation. Formation of the MCC was related to southerly conveyed water vapor and energy to the north, with obvious water vapor exchange between the free atmosphere and the boundary layer. Continuous regeneration and development of the MCSs mainly relied on maintenance of an upward extension of a positive water vapor disturbance. The MCC rainstorm was triggered by large range of convergent ascending motion caused by a southerly jet, and easterly disturbance within the boundary layer. While a southerly fluctuation and easterly disturbance in the boundary layer were important triggers of the MCS rainstorms. Maintenance and development of the MCC and MCSs were linked to secondary circulation, resulting from convergence of Ekman non-equilibrium flow in the boundary layer. Both intensity and motion of the convergence centers in MCC and MCS cases were different. Clearly, sub-synoptic scale systems in the middle troposphere played a leading role in determining precipitation distribution during this event. Although mesoscale systems triggered by the sub-synoptic scale system induced the heavy rainfall, small-scale disturbances within the boundary layer determined its intensity and location.     

2011～2012年冬季欧亚大陆低温严寒事件与平流层北极涛动异常下传的影响

利用NCEP-NCAR 再分析资料分析了2011～2012 年冬季发生在欧亚大陆的一次异常低温严寒事件的大气环流演变过程以及可能的成因。这次低温事件,主要出现在2012 年1 月下旬至2 月上旬,持续大约3 周左右,非常强的低温异常覆盖了几乎整个欧洲以及东亚的西伯利亚、蒙古国和我国东北、华北等地。这次低温事件的演变与对流层北极涛动(AO)由正位相转变为负位相的时间相匹配,意味着AO 可能发挥重要作用。进一步分析表明,前期行星波的异常上传导致平流层发生爆发性增温现象,极夜急流减弱,AO 位相首先在平流层由正变负;在2～3 周左右的时间内,平流层AO 异常信号逐渐下传,使得对流层AO 也转为负位相;随后,乌拉尔山阻塞高压异常发展,极区的冷空气不断向南爆发,先后在东亚和欧洲造成剧烈的降温,导致低温严寒事件。因此,考虑平流层环流的异常可能有助于提高欧亚大陆冬季低温严寒事件的预测能力。     

“2007.7.6”飞机颠簸事件数值模拟与成因分析

利用WRF模式模拟了2007年7月6日发生在菲律宾南部海域上空的一次民航飞机颠簸事件.结果表明,综合分析WRF模式计算得到的Ri和EI等预报指数,能够确定飞机颠簸发生的区域、高度和强度.飞机遭遇颠簸的区域是位于涡旋云系外围的螺旋云带的上空,飞机在飞越由重力波形成的螺旋云带时,在强烈的垂直上升和下沉气流的转换区域产生了急速的上抛和下降运动.     

异常东亚冬季风激发ENSO的数值模拟研究

利用中国科学院大气物理研究所发展的热带太平洋环流模式（OGCM）和海－气耦合模式（CGCM）分别就冬半年东亚冬季风异常对赤道太平洋的作用进行了数值模拟研究。结果清楚地表明,无论在 OGCM 中还是在 CGCM 中,持续的冬季风强异常将引起赤道中东太平洋海表水温（SST）的明显正异常,其分布类似观测到的El Ni?o事件;而持续的冬季风弱异常将引起赤道中东太平洋SST的明显负异常,其分布十分类似观测到的La Ni?a事件。因此,数值模拟进一步证实了我们过去从资料诊断和理论分析中得到的结论,即东亚冬季风异常是激发产生 ENSO 的重要机制。对模式资料的分析还清楚表明,异常东亚冬季风将激发异常海洋Kelvin波和使热带大气季节内振荡出现强异常,它们是激发ENSO的重要物理因素,这与观测资料的分析结果相一致。     

北京奥运会期间NO2浓度降低原因分析

2002～2008年,北京市城区和近郊8月的NO2月均浓度大体呈现逐年下降趋势,其中前5年二者均以每年约10%的降幅下降,2008年发生显著下降,降幅达40%左右。利用嵌套网格空气质量模式系统(NAQPM/IAP),采用敏感性试验方法,评估了气象条件与污染控制措施对北京奥运会期间大气NO2浓度降低的影响,评估不同污染控制措施对NO2浓度降低的作用。研究结果表明,污染控制措施是NO2浓度降低的主要影响因素,其中面源的污染控制措施对于NO2浓度降低的作用最明显。     

2008年“7.02”滇中大暴雨的成因诊断与数值模拟

利用常规观测、NCEP 1°×1°再分析资料、云图、多普勒雷达回波和WRF模式对2008年7月2日滇中大暴雨进行成因诊断和数值模拟。结果表明:对流层高层的干侵入和中低层冷、暖平流交汇诱发副热带高压和滇缅高压间辐合低涡迅猛发展成强中尺度对流辐合体,加上中低层来自孟加拉湾的丰富水汽输送和中低层强水汽辐合共同引发此次大暴雨。过程中,垂直螺旋度贡献主要在中层;干位涡呈现出对流层顶强正高位涡,300 hPa以下为次正高位涡,两者之间为负区的柱状分布特征,次正高位涡强中心有向下层延伸特征。WRF较好地模拟了整个大暴雨过程中强降水主体时段和大暴雨落区特点,最大对流有效位能变化趋势对强降水有较好预示作用,模拟方案在积分30小时内效果较好。