1948～2004年全球越赤道气流气候变化

利用1948年1月～2004年12月逐月NCEP/NCAR的全球1000 hPa、850 hPa、700 hPa、600 hPa、500 hPa、400 hPa、300 hPa、200 hPa、150 hPa、100 hPa的10层经向格点风,计算了全球越赤道气流和年变化,分析了全球850 hPa越赤道气流通道的时、空变化特征。指出在研究的时间段内,全球850 hPa越赤道气流有明显的长期趋势变化和年代际变化。近57年,6～8月的45～50°E、5～9月的105～115°E、5～9月和5～11月的130～140°E、2～4月的20～25°E的越赤道气流有明显的加强,6～8月的50～35°W的越赤道气流减弱。夏季索马里的越赤道气流,平均每10年增强0.25 m/s,而130～140°E,5～9月的越赤道气流,平均每10年增强0.32 m/s。奇异谱分析表明,850 hPa越赤道气流的年代际变化和趋势变化的方差贡献达到35%～45%。年际变化的方差贡献不超过30%,还指出夏季太平洋的越赤道气流的强度变化与南方涛动有明显关系,弱南方涛动时,有强的越赤道气流。而索马里急流强度与北大西洋涛动有弱的正相关。     

6月MJO对广东降水调制与直接影响系统的联系

利用1979—2008年广东省86个测站逐日降水资料及NCEP-DOE第2套分析资料等,提出影响广东500 hPa环流系统的判别方法,分析6月赤道MJO (季节内振荡) 活动对广东降水的调制作用随中低纬度环流型的变化。结果表明:强MJO第3位相广东出现强降水的概率最高,是8个位相中唯一强降水等级出现日数超过弱降水日数的位相。在直接影响广东的5种500 hPa环流系统 (包括西风槽、西风浅槽、平直西风或高压边缘、副热带高压、热带低压槽) 中,西风槽类型影响时,赤道MJO对广东降水的调制作用最强,其他环流类型影响时,MJO的调制作用很弱。广东在西风槽影响下,当处于MJO第3位相 (第6位相) 时,降水距平百分率达到最高 (低)。MJO对广东降水的调制作用随中低纬度环流系统的变化,主要是环流系统之间的不同配合导致降水所需的动力上升条件和水汽输送条件的相互配合发生变化造成的。     

1994年6月广东省特大洪涝期间气象要素的小波分析

通过对１９９４年６月广东洪涝期间省内南雄与电白两站逐时地面降水、气压和温度的小波分析,清楚地将影响两站的不同尺度的扰动显示出来,利用小波方差图可帮助确定该段时间的主要天气系统,利用小波逆变换可对原序列进行多种形式的重构。     

THE RELATIONSHIP BETWEEN SCS SUMMER MONSOON INTENSITY AND OCEANIC THERMODYNAMIC VARIABLES AT DIFFERENT TIME SCALE

The oscillation characteristics of 1948 - 2003 South China Sea (SCS) summer monsoon intensity (SCSSMI) is analyzed by wavelet transform and the relationship between SCSSMI filtered by Lanczos filter at different time scale and oceanic thermal conditions is studied. The results show that SCSSMI exhibits dominant interannual (about 4 a), decadal (about 9 a) and interdecadal (about 38 a) oscillation periods. The interannual variation is the strongest and the interdecadal variation the weakest. The region of significant correlation between SCS summer monsoon intensity and oceanic thermodynamic variables at different time scale is greatly different. Significant correlation area of interannual variation of SCSSMI is concentrated in near equatorial region. Corresponding correlation displays quasi-biannual variability. If positive anomalies of SST and the depth of thermocline happen in eastern equatorial Indian Ocean and western equatorial Pacific, and negative anomalies of SST and the depth of thermocline happen in western equatorial Indian Ocean and eastern equatorial Pacific in previous autumn and winter, the interannual variation of SCSSMI will enhance. If the condition is contrary, interannual variation of SCSSMI will weaken. The interannual variation of SCSSMI will influence SST. The region surrounding SCS and east of Australia shows significantly negative correlation in autumn, and significantly positive correlation exhibits in west equatorial Indian Ocean, eastern equatorial Pacific and equatorial Atlantic in winter. The decadal variation of SCSSMI is modulated by PDO. Interdecadal variation of SCSSMI is relevant to the global warming and PDO.     

CONNECTION OF THE SOUTH CHINA SEA SUMMER MONSOON TO MARITIME CONTINENT CONVECTION AND ENSO

The relationship between the intensity of the South China Sea summer monsoon (SCSSM) and the Nino3.4 index and anomalous atmospheric circulation patterns associated with a strong and weak SCSSM are investigated using the NCEP/NCAR reanalysis data, Extended Reconstructed Sea Surface Temperature (ERSST) data and Climate Prediction Center Merged Analysis of Precipitation (CMAP) data. The SCSSM is significantly positively correlated with the Nino3.4 index in the succeeding northern autumn and winter. In the strong minus weak SCSSM composite, a positive East Asia-Pacific teleconnection (EAP) pattern and a negative Europe-Asian-Pacific teleconnection (EUP) pattern appear in the 500 hPa height difference field; low-level cross-equatorial flows are strengthened over the Maritime Continent (MC) region; positive (negative) precipitation anomalies occur in the South China Sea and western north Pacific (MC). A possible mechanism through which SCSSM affects ENSO is proposed. A strong (weak) SCSSM strengthens (weakens) cross-equatorial flows over the MC. The anomalous cross-equatorial flows cool (warm) the SST around the MC through enhanced (reduced) surface latent heat fluxes. The cooling (warming) further leads to suppressed (enhanced) convection over the MC, and causes the anomalous westerly (easterly) in the equatorial western Pacific, which favors the onset of El Ni?o (La Ni?a) through modulating the positive air-sea feedback process.     

局地水汽异常引起的非绝热加热对2016/2017年中国南方暖冬的影响

基于NCEP/NCAR再分析资料, 利用气温异常的倾向方程分析2016/2017年中国华北地区(100~115 °E, 35~45 °N)、西南地区(85~102 °E, 22~33 °N)和南方地区(108~118 °E, 22~33 °N)的暖冬事件。结果表明西南和华北地区的平流作用占主导地位, 而2016/2017年冬季中国南方暖冬主要是非绝热加热引起的。进一步通过水汽收支平衡的分析表明, 局地水汽异常对2016/2017年中国南方暖冬有重要贡献, 而其中土壤的水汽贡献约占50%。可能的机制如下:大气中正的水汽异常引起辐射加热增多, 导致气温升高, 土壤的感热增大, 土壤温度升高, 潜热通量变大, 从而向大气的水汽输送增多, 更多的水汽将导致更高的温度。      

1976年大气环流突变前后中国四季降水量异常和温度的年代际变化及其影响因子

利用NCEP/NCAR全球2.5°×2.5°月平均再分析资料和中国国家气候中心(NMC)提供的743站降水和温度资料分析了1976年大气环流突变前后中国四季降水量异常和温度的年代际对比特征,发现1976年后,春季中国华南降水偏多、温度偏低,长江流域西部降水偏少、温度偏低。夏季降水主要呈现华南少、长江流域多、华北少和东北多的"-、+、-、+"的分布形势,温度表现为华南增暖、长江淮河流域冷却和北方增暖的分布特征。秋季中国大部分地区降水量异常是减少的、温度是上升的。冬季华南地区降水量异常虽有增加但不显著,整个中国区域几乎呈增暖趋势。中国平均温度的年代际变化在春季和夏季的降温主要受最高温度变化影响、升温主要受最低温度影响;秋季的整体增暖受最低温度影响更大,而冬季的整体增暖受最高温度影响更大。造成以上变化的原因与1976年大气环流突变前后,四季哈德来环流上升支和下沉支的南北推移、西风急流的增强和位置的南北移动、大气层结的干湿状况以及水汽输送的来源密切相关。     

THE VARIATION OF THE SPRING PRECIPITATION IN GUANGZHOU AND ITS PRECURSORY SIGNALS

Guangzhou spring rainfall mainly exhibits interannual variation of Quasi-biannual and interdecadal variation of 30 yrs, and is in the period of weak rainfall at interdecadal time scale. SST anomalies (SSTA) of Nino3 are the strongest precursor of Guangzhou spring rainfall. They have significant positive correlation from previous November and persist stably to April. Nino3 SSTA in the previous winter affects Guangzhou spring rainfall through North Pacific subtropical high and low wind in spring. When Nino3 SSTA is positive in the previous winter, spring subtropical high is intense and westward, South China is located in the area of ascending airflow at the edge of the subtropical high, and water vapor transporting to South China is intensified by anticyclone circulation to the east of the Philippines. So Guangzhou spring rainfall is heavy. When Nino3 SSTA is negative, the subtropical high is weak and eastward, South China is far away from the subtropical high and is located in the area of descending airflow, and water vapor transporting to South China is weak because low-level cyclonic circulation controls areas to the east of the Philippines and north wind prevails in South China. So Guangzhou spring rainfall is weak and spring drought is resulted.     

影响华南汛期持续性强降水年际变化的大气环流和海温异常

利用1961—2017年中国地面观测站日降水资料、全球大气多要素和海表温度月资料,分析华南区域持续性强降水过程的气候特征,诊断并比较与华南前汛期、后汛期区域持续性强降水年际变化相关的大气环流和海表温度异常特征。结果表明,3—12月华南都可能出现持续性强降水过程,其中汛期4—9月的占了94.4%。伴随着区域持续性强降水的年际变化,华南本地垂直上升运动显著异常是前汛期和后汛期的共同点,但前汛期、后汛期在华南及周边环流异常、水汽输送来源以及海温异常分布等方面都存在一定差异。在前汛期华南区域持续性强降水偏重年,赤道西太平洋区域海温偏低,由于大气罗斯贝波响应使西太平洋副热带高压偏强,热带西太平洋向华南区域水汽输送加强,从而有利于区域持续性强降水偏重。后汛期华南区域持续性强降水偏重年的海温异常分布是赤道中东太平洋区域正异常、东印度洋至西太平洋暖池区负异常,海温异常通过西北太平洋副热带高压、南海热带季风强度、水汽输送和垂直环流等多方面,导致后汛期区域持续性强降水偏重。      

Determination of onset date of the South China Sea summer monsoon in 2006 using large-scale circulations

Since the South China Sea (SCS) summer monsoon (SCSSM) is pronouncedly featured by abruptly intensified southwesterly and obviously increased precipitation over the SCS,the lower-tropospheric winds and/or convection intensities are widely used to determine the SCSSM onset.The methods can be used successfully in most of the years but not in 2006.Due to the intrusion of Typhoon Chanchu(0601)that year,the usual method of determining SCSSM onset date by utilizing the SCS regional indices is less capable of pinpointing the real onset date.In order to solve the problem,larger-scale situations have to be taken into account.Zonal and meridional circulations would be better to determine the break-out date of SCSSM in 2006.The result indicates that its onset date is May 16.Moreover,similar onset dates for other years can be obtained using various methods,implying that large-scale zonal and meridional circulations can be used as an alternative method for determining the SCSSM onset date.