基于球谐函数模型的电离层预报

据球谐函数模型系数的特点,采用ARMA(p,q)模型对球谐函数模型系数进行预报,由球谐函数模型计算电离层VTEC。提出了针对某一时刻球谐系数进行预报的方法,相比传统按照时刻顺序的预报,预报时间大大延长,预报精度也有所提高。试验结果表明,相比中高纬度地区,低纬度地区预报精度偏低,同时,一天中不同时刻预报结果有所差别,前半天的预报效果明显好于后半天。     

基于GWR模型的中国中东部降水与海拔高度关系特征分析

利用中国国家级地面气象站逐时降水资料,采用地理加权回归(Geographically Weighted Regression,GWR)模型系统分析了中国中东部暖季降水与海拔高度的关系,并将二者关系作为一种客观标准,评估了ECMWF-IFS模式对2017年暖季降水的预报能力。主要结论如下:(1)总体来看,中国中东部降水频率(强度)随海拔高度升高而增加(减小),二者在不同地区的贡献程度不同导致降水量与海拔高度关系的区域差异显著。(2)通过对比午后短时和夜间长时降水事件与海拔高度关系的差异,发现午后短时降水事件的降水量主要随海拔高度升高而增加,且以降水频率与海拔高度关系的贡献为主。而夜间长时降水事件的降水量与海拔高度关系的区域一致性较差。相较于午后短时降水事件,夜间长时降水事件中有更多站点表现出降水量随海拔高度升高而减小的特征,在大地形周边陡峭地形处的站点所表现出的此种差异较东部孤立地形处更加显著。(3)根据ECMWF-IFS模式的评估结果,模式能够较好地刻画出中国中东部2017年暖季降水气候态的空间分布特征,且与观测具有较大的空间相关系数。但从降水与海拔高度关系来看,观测与模式的空间相关性偏弱。此外,模式能够表现出降水强度(频率)主要随海拔高度升高而减小(增加)的特征,但绝大多数站点在模式中的降水强度(频率)与海拔高度的负(正)回归关系要弱(强)于观测结果。     

The Mesoscale Predictability of a Heavy Precipitation Event

Using the mesoscale model MM5, the development of initial condition uncertainties at different scales and amplitudes and their influences on the mesoscale predictability of the ＂0185＂ Shanghai heavy precipitation event are investigated. It is found that different initial conditions obtained from different globe model analyses lead to large variations in the simulated location and strength of the heavy precipitation, and the scales and amplitudes of the initial condition perturbations significantly influence the model error growth. The power spectrum evolution of the difference total energy （DTE） between a control simulation and a sensitivity experiment indicates that the error growth saturates after 12 h, which is the predictable time limit of the heavy precipitation event. The power spectrum evolution of the accumulated precipitation difference between the control and sensitivity simulations suggests a loss of the mesoscale predictability for precipitation systems of scales smaller than 300 kin, i.e., the predictable space for the heavy precipitation event is beyond 300 km. The results also show that the initial uncertainties at larger scales and amplitudes generally result in larger forecast divergence than the uncertainties at smaller scales and amplitudes. The predictable forecasting time and space can be expanded （e.g., from 12 to 15 h, and from beyond 300 kin to beyond 200 km） under properly prescribed initial perturbations at smaller scales and amplitudes.     

Seasonal Prediction of the Global Precipitation Annual Modes with the Grid-Point Atmospheric Model of IAP LASG

A right annual cycle is of critical importance for a model to improve its seasonal prediction skill. This work assesses the performance of the Grid-point Atmospheric Model of IAP LASG （GAMIL） in retrospective prediction of the global precipitation annual modes for the 1980 2004 period. The annual modes are gauged by a three-parameter metrics： the long-term annual mean and two major modes of annual cycle （AC）, namely, a solstitial mode and an equinoctial asymmetric mode. The results demonstrate that the GAMIL one-month lead prediction is basically able to capture the major patterns of the long-term annual mean as well as the first AC mode （the solstitial monsoon mode）. The GAMIL has deficiencies in reproducing the second AC mode （the equinoctial asymmetric mode）. The magnitude of the GAMIL prediction tends to be greater than the observed precipitation, especially in the sea areas including the Arabian Sea, the Bay of Bengal （BOB）, and the western North Pacific （WNP）. These biases may be due to underestimation of the convective activity predicted in the tropics, especially over the western Pacific warm pool （WPWP） and its neighboring areas. It is suggested that a more accurate parameterization of convection in the tropics, especially in the Maritime Continent, the WPWP and its neighboring areas, may be critical for reproducing the more realistic annual modes, since the enhancement of convective activity over the WPWP and its vicinity can induce suppressed convection over the WNP, the BOB, and the South Indian Ocean where the GAMIL produces falsely vigorous convections. More efforts are needed to improve the simulation not only in monsoon seasons but also in transitional seasons when the second AC mode takes place. Selection of the one-tier or coupled atmosphere-ocean system may also reduce the systematic error of the GAMIL prediction. These results offer some references for improvement of the GAMIL seasonal prediction skill.     

A Case Study on the Triggering of Thermal Convective Precipitation

Thermal convective precipitation （TCP） often occurs over mainland China in summer when the area is dominated by the western Pacific subtropical high （WPSH）. It is well known that the WPSH often brings about large scale subsidence, then why could deep moist convection occur and where does the water vapor come from？ In this paper, a deep convective precipitation case that happened on 2 August 2003 is studied in order to address these two questions. First, the characteristics of the TCP event are analyzed using the Tropical Rainfall Measuring Mission （TRMM） satellite data, automatic weather station observations, and the data from the US National Centers for Environmental Prediction （NCEP）. Second, water vapor sources are identified through examining surface evaporation, water vapor advection, and water vapor flux divergence calculated by using a regionally averaged water vapor budget equation. Furthermore, using an Advanced Regional Eta-coordinate Model （AREM）, contributions of sensible and latent heat fluxes to the TCP are compared through four sensitivity experiments. The results show that in the regions controlled by the WPSH, surface temperature rises rapidly after sunrise. Upon receiving enough sensible heat, the air goes up and leads to convergence in the lower atmosphere. Then the water vapor assembled from the surroundings and the ground surface is transported to the upper levels, and a favorable environment for the TCP forms. A model data diagnosis indicates that about half of precipitable water comes from the convergence of horizontal fluxes of water vapor, and the other half from surface evaporation, while little is from advection. Additional sensitivity experiments prove that both sensible and latent heating are essential for the onset of the TCP. The sensible heat flux triggers thermodynamic ascending motion, and the latent heat flux provides water vapor, but the contribution to TCP from the latter is a little smaller than that from the former.     

The Impact of Mid- and High-Latitude Rossby Wave Activities on the Medium-Range Evolution of the EAP Pattern During the Pre-Rainy Period of South China

Based on the NCEP DOE AMIP II daily reanalysis data (1979{2005), the evolution of the East Asia/Pacific(EAP) teleconnection pattern during the pre-rainy period of South China is studied on the medium-range time scale. It is found that positive and negative EAP patterns share a similar generation process. In the middle and upper troposphere, Rossby wave packets emanating from the northeast Atlantic or Europe propagate toward East Asia along the Eurasian continent waveguide and finally give rise to the three anomaly centers of the EAP pattern over East Asia. Among the three anomaly centers, the western Pacific subtropical center appears the latest. Rossby wave packets propagate from the high latitude anomaly center toward the mid-latitude and the subtropical ones. The enhancement and maintenance of the subtropical anomaly center is closely associated with the subtropical jet waveguide and the incoming Rossby wave packets from the upstream. In the lower troposphere, Rossby wave packets emanate from the subtropical Asia toward East Asia. Positive and negative EAP patterns could not be regarded as "mirrors" to each other with simply re- versed phase. For the positive pattern, the positive height anomaly center around the Scandinavia Peninsula keeps its strength and position during the mature period, and the Rossby wave packets thus propagate persistently toward East Asia, facilitating a longer mature time of the positive pattern. As for the formation of the negative EAP pattern, however, the incoming Rossby wave energy from the upstream contributes to both the enhancement and southeastward movement of the negative anomaly belt from the Yenisei River to the Bering Strait and the positive anomaly center around Mongolia. At the peak time, the two anomlous circulations are evolved into the Northeast Asia and the mid-latitude anomaly centers of the negative pattern, respectively. The energy dispersion of Rossby wave packets is relatively fast due to the predominant zonal circulation in the extratropics, causing a shorter mature period of the negative pattern. During the pre-rainy period of South China, the prevalence of the EAP pattern signiˉcantly affects the rainfall over the region south of the Yangtze River. The positive (negative) EAP pattern tends to causepositive (negative) precipitation anomalies in that region. This is di?erent from the earlier research findingsbased on monthly mean data.     

Intraseasonal variability in the equatorial Atlantic-West Africa during March–June

Intraseasonal (30–80 days) variability in the equatorial Atlantic-West African sector during March–June is investigated using various recently-archived satellite measurements and the NCEP/DOE AMIP-II reanalysis daily data. The global connections of regional intraseasonal signals are first examined for the period of 1979–2006 through lag-regression analyses of convection (OLR) and other dynamic components against a regional intraseasonal convective (OLR) index. The eastward-propagating features of convection can readily be seen, accompanied by coherent circulation anomalies, similar to those for the global tropical intraseasonal mode, i.e., the Madden–Julian oscillation (MJO). The regressed TRMM rainfall (3B42) anomalies during the TRMM period (1998–2006) manifest similar propagating features as for the regressed OLR anomalies during 1979–2006. These coherent features hence tend to suggest that the regional intraseasonal convective signals might be mostly a regional response to, or closely associated with the MJO, and probably contribute to the MJO’s global propagation. Atmospheric and surface intraseasonal variability during March–June of 1998–2006 are further examined using the high-quality TRMM Microwave Imager (TMI) sea surface temperature (SST), columnar water vapor, and cloud liquid water, and the QuikSCAT oceanic winds (2000–2006). Enhanced (suppressed) convection or positive (negative) rainfall anomalies approximately cover the entire basin (0°–10°N, 30°W–10°E) during the passage of intraseasonal convective signals, accompanied by anomalous surface westerly (easterly) flow. Furthermore, a unique propagating feature seems to exist within the tropical Atlantic basin. Rainfall anomalies always appear first in the northwestern basin right off the coast of South America, and gradually extend eastward to cover the entire basin. A dipolar structure of rainfall anomalies with cross-equatorial surface wind anomalies can thus be observed during this evolution, similar to the anomaly patterns on the interannual time scale discovered in past studies. Coherent intraseasonal variations and patterns can also be found in other physical components.

区域空气质量数值预报系统CAPPS3在辽宁的应用

利用城市大气污染数值预报系统CAPPS的第三版(CAPPS3),经过安装、调试和本地化、自动化处理,建立起适合于辽宁的区域空气质量数值预报系统,用于预报辽宁的城市污染指数和等级以及各污染物的日均浓度分布.通过模式预报结果与监测资料的对比,发现辽宁14个主要城市SO2、NO2预报准确率的总体水平明显高于PM10.区域污染物浓度分布位置和大小的预报结果与实际情况相符,污染物小时浓度的演变也与实际风场的变化趋势保持一致,表明CAPPS3模式系统能够及时准确地预报出区域污染的形成和发展过程.     

基于位置误差的分布制作热带气旋路径袭击概率预报

为了探讨热带气旋路径预报的不确定性,利用2004-2007年4年中央气象台综合预报的误差分布状况,建立热带气旋路径综合预报的统计集合模型,制作热带气旋路径的袭击概率预报及产品,并为警报发布工作中有关登陆地段的预报提供有意义的参考.     

一次春季强寒潮的降水相态变化分析

应用NCEP 1°×1°资料、常规观测资料、自动站资料、多普勒天气雷达资料,对2007年3月河北省一次早春强寒潮天气背景下的降水多相态转换的成因与雨雪转换的预报进行了分析.结果表明:850hPa及以下蒙古高压和江淮气旋共同作用产生的偏东风导致低层大气温度持续下降,降水性质从雨转为雪.随着江淮气旋入海,高低空风向发生突变,从东北风转为西北风,加上太行山地形作用,使太行山东麓部分地区低层大气出现小幅升温,0℃层高度抬升,致使从雪转为雨.多普勒天气雷达回波图上,0℃层亮带高度的迅速下降,可作为从液态降水向固态降水转换的判据之一.天气学分析表明,当0℃层高度低于950hPa、地面气温在0℃上下、1000hPa温度低于2℃、925hPa温度低于-2℃时,降水性质将从雨向雨夹雪或雪转变.