青藏高原4月陆面状况和地表加热异常与中国夏季降水的联系

利用1981—2002年GIMMS-NDVI资料、中国西部数据中心提供的雪深长时间序列数据集、中国753个测站降水资料及ECMWF再分析地表通量资料,通过相关和合成分析等统计方法,探讨了青藏高原(下称高原)4月植被覆盖、积雪异常与地表加热异常和与后期中国夏季降水之间的联系。结果表明,高原4月的陆面状况与同期的地表加热存在密切的联系,植被覆盖和积雪深度的变化具有较好的一致性;高原植被覆盖(积雪)主要影响地表感热(潜热)通量,从而改变高原地区的地表加热;高原地表加热和中国夏季降水存在较为密切的关系。就年际异常而言,前期高原地表加热异常与长江以南地区6月降水存在明显的负相关,与7月降水的显著负相关区域主要位于华北、东北地区,与8月降水的显著负相关区主要位于长江中上游及淮河一带。相比之下,前期高原地表加热与夏季降水的年际增幅异常之间存在更为密切的联系,即前期高原地表加热年际增幅异常与长江以南及西南部分地区6月降水年际增幅异常为负相关,而与7、8月降水年际增幅异常主要呈南正北负的分布特征。     

Projected Changes in Asian Summer Monsoon in RCP Scenarios of CMIP5

Responses of the Asian Summer Monsoon(ASM) in future projections have been studied based on two core future projections of phase five of the Coupled Model Intercomparison Project(CMIP5) coordinated experiments with the IAP-coupled model FGOALS_s2(the Flexible Global Ocean-Atmosphere-Land System Model).The projected changes of the ASM in climatological mean and interannual variability were respectively reported.Both the South Asian Summer Monsoon(SASM) and the East Asian Summer Monsoon(EASM) were intensified in their climatology,featuring increased monsoon precipitation and an enhanced monsoon lower-level westerly jet flow.Accordingly,the amplitude of the annual cycle of rainfall over East Asia(EA) is enhanced,thereby indicating a more abrupt monsoon onset.After the EA monsoon onset,the EASM marched farther northward in the future scenarios than in the historical runs.In the interannual variability,the leading pattern of the EASM,defined by the first multi-variable EOF analysis over EA,explains more of the total variances in the warmest future scenario,specifically,Representative Concentration Pathway(RCP8.5).Also,the correlation coefficients analysis suggests that the relationship between the EASM interannual variations and ENSO was significantly strengthened in the future projections,which may indicate improved predictability of the EASM interannual variations.     

Tropical Cyclones and Polar Lows: Velocity, Size, and Energy Scales, and Relation to the 26℃ Cyclone Origin Criteria

The goal of this paper is to quantitatively formulate some necessary conditions for the development of intense atmospheric vortices. Specifically, these criteria are discussed for tropical cyclones (TC) and polar lows (PL) by using bulk formulas for fluxes of momentum, sensible heating, and latent heating between the ocean and the atmosphere. The velocity scale is used in two forms: (1) as expressed through the buoyancy flux b and the Coriolis parameter lc for rotating fluids convection, and (2) as expresse...     

印度夏季风与中国华北降水的遥相关分析及数值模拟

20世纪80年代中国学者揭示了印度夏季风与中国华北降水的正相关关系,以后国内外又有一些研究证实了这种正相关关系的存在.文中利用1951-2005年多种气象资料和数值模拟方法,详细讨论了印度夏季风和中国华北地区夏季降水的关系,并针对由印度西北部经青藏高原到中国华北地区形成的正、负、正的遥相关型,从动力因子和热力因子两方面探讨了其中的内在联系,所得结果不但确证了以往的结论,而且进一步揭示了印度夏季风对华北地区降水的影响机制.结果表明:(1)印度夏季风强(弱)时,华北地区容易出现降水偏多(少)的天气;华北地区降水偏多(少)时,印度夏季风偏强(弱)的机率却低一些,这说明印度夏季风的异常变化对华北地区夏季降水有更大的影响.(2)印度夏季风强度主要受印度季风槽的影响,在印度季风槽加深的同时,中高纬的低压槽也加深发展,而这时西太平洋高压脊西伸,来自低纬的西南风水汽输送和源于西太平洋的副热带高压南侧的东南风水汽输送共同作用,有利于华北地区的降水偏多;反之则不利于华北地区的降水.(3)区域气候模式模拟结果也很好地模拟出印度夏季风和华北夏季降水的遥相关关系,其相应的环流异常系统与诊断分析结果非常一致,这从另一方面证实了这种遥相关关系的存在和可靠性.     

夏季西北太平洋和南中国海台风生成与前期冬春主要环境条件的关系

利用NCEP/NCAR月平均再分析资料、OLR资料和中国气象局编辑的<台风年鉴>及<热带气旋年鉴>资料,对西北太平洋和南中国海夏季中心附近的平均风力达8级(17 m/s)或以上的热带气旋(含热带风暴、强热带风暴和台风,以下统称台风)牛成频数与气候背景的关系进行了研究分析.对台风牛成多寡的气候背景差异和特征进行比较表明,前期冬春季海温和赤道辆合带的异常与夏季台风生成有密切的关系.前期冬春季在类似于La Nina型海温距平分布背景下,从冬至夏在赤道中太平洋160°E附近的ITCZ有一个向西北方向加强北抬的过程,太平洋ITCZ的活动偏北偏强,赤道太平洋有异常活跃的ITCZ向西太平洋台风主要源地推进,有利于后期夏季台风的生成;相反,前期冬春季在类似于E1 Nino型海温距平分布背景下,赤道西太平洋ITCZ偏弱偏南,不利于后期夏季的台风生成.在夏季多台风年,前期冬季西太平洋暖海温异常为后期台风的发展提供了重要的有利背景,在暖海温的持续作用下,对流层的风场辐合异常增强,增加了暖海温区的水汽供应.到了前期春季,热带辐合带的扰动扮演了更为重要的角色.随着赤道辐合带的北移,附加的异常辐合位于暖海温区时,会激发出低空大尺度水汽辐合与自由大气中潜热释放之间的正反馈,有利于后期台风的生成.当前期冬季至春季西北太平洋海温持续异常偏冷时,对流层的风场为辐散异常,减少了冷海温区的水汽供应,导致赤道辐合带不活跃,缺乏必要扰动,夏季台风生成偏少.     

ECC方法在中国夏季气温预测研究中的应用

以中国夏季气温为预测对象,选取东亚地区冬季500 h Pa高度场、海平面气压场、地表温度场和850 h Pa温度场为预测因子,采用1951~2009年去趋势处理后的资料,通过变形的典型相关分析(Barnett-Preisendorfer Canonical Correlation Analysis,BP-CCA)方法分别建立单因子预测模型,再利用集合典型相关分析(Ensemble Canonical Correlation,ECC)方法建立集合预测模型,对中国夏季气温进行基于交叉检验方法的预测试验,然后利用2010~2014年的资料对中国夏季气温进行独立样本检验。通过分析BP-CCA模态可知,一对BP-CCA模态的空间型在一定程度上可以反映预报因子场和对象场的遥相关特征。通过基于交叉检验方法的预测试验表明环流场和热力场均能为气温提供预测信息。ECC预测模型综合了各个预报因子的在不同地区的预报技巧,比单因子BP-CCA预测模型有更高、更稳定的预报技巧。独立样本检验表明ECC模型与单因子BP-CCA预测模型相比,对中国夏季气温有更高、更稳定的实际预测能力,对气温季节预测具有参考价值。     

欧亚大陆夏季地表热力异常与同期中国东部夏季降水的可能联系

利用ERA-40再分析资料、CRU TS3.0数据集以及中国站点观测数据,分析了欧亚大陆夏季地表热力异常的变化特征,在此基础上探讨了我国东部夏季降水与同期欧亚大陆地表热力异常之间的可能联系。研究发现,欧亚大陆地表气温与浅层土壤温度的大尺度变化特征基本一致:经验正交函数分解第一模态空间型表现为大陆西南部分区域与欧亚大陆其他区域反相变化,对应的时间系数均在20世纪80年代末出现转折。当夏季欧亚中纬度印度以北地区和我国中东部地区地表气温偏高时,东亚夏季风的强度偏强,西太平洋副热带高压位置偏东,我国东部偏南风偏强,江淮流域水汽偏少,且气流上升运动偏弱,降水偏少;华南和北方地区水汽偏多,且气流上升运动偏强,降水偏多;反之亦然。当欧亚大陆中高纬贝加尔湖以东及以西地区夏季地表气温偏高,而我国东北部地区夏季地表气温偏低时,东亚夏季风的强度偏强,西太平洋副热带高压位置偏西,我国东南部地区偏南风异常偏强,有利于水汽向江淮流域输送,东南沿海及内蒙古中部水汽偏少,且气流上升运动偏弱,降水偏少;而东部其余地区水汽偏多,且气流上升运动偏强,降水偏多;反之亦然。     

南海台风Vongfong(2002)登陆前后内核结构和近海加强原因的数值模拟研究

利用6 km细网格区域的显式模拟结果分析了Vongfong(2002)的内核结构;对Vongfong近海加强的动力学机制进行了研究.结果表明:(1) 轴对称性结构中,Vongfong最大风速半径(RMW)在强盛期随高度递减.Vongfong在近海时,低层最强的流入在其移行的前方,而流出区在其后方.这些特征与大西洋飓风和西太平洋台风相反.(2) 动力场和热力场都有明显的不对称结构.在强盛期,对流西北强、东南弱;强对流云带与最大风速区的位置一致.在加强期,低层西冷东暖、中高层西暖东冷;到强盛期,低层和中高层都有明显的暖心结构.(3) 中纬度中上层冷低压系统和台风的相互作用是Vongfong近海加强的重要原因.①由于冷低压系统外围的冷空气从西北侧进入台风的中层,低层有暖湿空气配合,使得位势不稳定能量增加,对流发展.②因为冷低压中心的下沉气流正是二级环流的下沉支,冷低压南移填塞,台风近海加强.两个方面最终通过CISK(第二类条件不稳定)机制来实现.     

IMPROVEMENT OF NUMERICAL SIMULATION OF TYPHOON RANANIM (0414) BY USING DOPPLER RADAR DATA

Typhoon Rananim (0414) has been simulated by using the non-hydrostatic Advanced Regional Prediction System (ARPS) from Center of Analysis and Prediction of Storms (CAPS). The prediction of Rananim has generally been improved with ARPS using the new generation CINRAD Doppler radar data. Numerical experiments with or without using the radar data have shown that model initial fields with the assimilated radar radial velocity data in ARPS can change the wind field at the middle and high levels of the troposphere; fine characteristics of the tropical cyclone (TC) are introduced into the initial wind, the x component of wind speed south of the TC is increased and so is the y component west of it. They lead to improved forecasting of TC tracks for the time after landfall. The field of water vapor mixing ratio, temperature, cloud water mixing ratio and rainwater mixing ratio have also been improved by using radar reflectivity data. The model’s initial response to the introduction of hydrometeors has been increased. It is shown that horizontal model resolution has a significant impact on intensity forecasts, by greatly improving the forecasting of TC rainfall, and heavy rainstorm of the TC specially, as well as its distribution and variation with time.     

Dynamic Relationship Between Entrainment Rate and Summer Monsoon in the Transition Area of Monsoon in the East of Northwest China

Entrainment rate refers to the ratio of surrounding air quality to air quality involved in rising unit distance, including turbulent entrainment and dynamic entrainment, which are applied to the boundary layer parametrization of convective clouds, the improvement of numerical model, the observation of cloud droplet spectral dispersion and the study of tropical cyclones.Based on the daily data at 07:00 and 19:00 every 10 m of five stations such as Minqin, Yuchong, Pingliang, Yinchuan and Yan'an from May to September during 2006-2016, combined with the daily observation data on the ground, the Entrainment Rates(ER) of different heights were calculated, and the relationships between ER and height in different regions, precipitation as well as monsoon during the monsoon period were further obtained. The main results were as follows:\mathrm{①} The ER was proportional to air temperature and saturated water vapor pressure, but inversely proportional to relative humidity. The relative humidity threshold of cloud was 65%. The higher the relative humidity threshold was, the lower the cloud height of different orders of precipitation was, and the cloud height was higher with the increase of rainfall. \mathrm{②}ER had obvious diurnal changes and regional differences: It was obviously smaller at 07:00 than at 19:00 from ground to 3 km, which weakened with the increase of height in the near surface , but strengthened with the increase of height above 500 m; From small to large, the monsoon affected area, the monsoon swing area and the non-monsoon area were in turn, and there was no regional difference above 3 km. \mathrm{③} ER was closely related to the intensity and property of precipitation in monsoon period. The ER weakened with the enhancement of rain intensity from near ground to below 600 m, but strengthened with the enhancement of rain intensity from 500 m to 2~3 km.From near ground to below 700 m, the ER of stable precipitation was strong, but that of convective precipitation was strong above 700 m. The convective precipitation had big saturated water vapor pressure and strong ER , while the stable precipitation had big saturated water vapor density, rich water vapor but weak ER. \mathrm{④}The relationship between ER and monsoon as well as its duration: From no monsoon to monsoon ER was weakened, the strongest maximum height was also decreasing. There was no significant difference in the duration of ER between the non-monsoon area and the monsoon affected area, but the longer the monsoon swing area lasted in the near ground layer, the smaller the ER was, while the opposite was at 1~2 km in the high altitude. \mathrm{⑤}The relationship between ER and the APO monsoon intensity index showed that: At 07:00, the ER strengthened with height from near ground to below 800 m, but weakened with height above 800 m,and the monsoon intensity was not related to the ER. At 19:00, the ER strengthened with the height near ground but weakened with the height above 300 m, and the stronger the monsoon was, the smaller the ER was. The ER weakened with the decrease of boundary layer height.