Intraseasonal Oscillation of Tropospheric Ozone over the Indian Summer Monsoon Region

Boreal summer intraseasonal oscillation(BSISO) of lower tropospheric ozone is observed in the Indian summer monsoon(ISM) region on the basis of ERA-Interim reanalysis data and ozonesonde data from the World Ozone and Ultraviolet Radiation Data Centre. The 30–60-day intraseasonal variation of lower-tropospheric ozone shows a northwest–southeast pattern with northeastward propagation in the ISM region. The most significant ozone variations are observed in the Maritime Continent and western North Pacific. In the tropics, ozone anomalies extend from the surface to 300 hPa; however, in extratropical areas, it is mainly observed under 500 hPa. Precipitation caused by BSISO plays a dominant role in modulating the BSISO of lower-tropospheric ozone in the tropics, causing negative/positive ozone anomalies in phases 1–3/5–6. As the BSISO propagates northeastward to the western North Pacific, horizontal transport becomes relatively more important, increasing/reducing tropospheric ozone via anticyclonic/cyclonic anomalies over the western North Pacific in phases 3–4/7–8.As two extreme conditions of the ISM, most of its active/break events occur in BSISO phases 4–7/1–8 when suppressed/enhanced convection appears over the equatorial eastern Indian Ocean and enhanced/suppressed convection appears over India, the Bay of Bengal, and the South China Sea. As a result, the BSISO of tropospheric ozone shows significant positive/negative anomalies over the Maritime Continent, as well as negative/positive anomalies over India, the Bay of Bengal,and the South China Sea in active/break spells of the ISM. This BSISO of tropospheric ozone is more remarkable in break spells than in active spells of the ISM, due to the stronger amplitude of BSISO in the former.     

Seasonal Transition of Summer Rainy Season over Indochina and Adjacent Monsoon Region

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印度洋偶极子对东亚季风区天气气候的影响

利用NCEP/NCAR 40年再分析资料和中国科学院大气物理研究所的IAPAGCM-Ⅱ大气环流模式,分析和模拟了印度洋偶极子对东亚季风区天气气候的影响.结果表明,印度洋偶极子对东亚季风区天气气候,特别是夏季,影响显著.印度洋正偶极子位相期间,东亚地区的西南季风爆发偏晚,强度增强,我国大陆降水增多;而印度洋负偶极子位相期间,东亚地区的西南季风爆发偏早,强度减弱,我国的东南部地区有丰富的降水.     

The southwest Indian Monsoon over the last 18 000 years

Previously published results suggest that the strength of the SW Indian Monsoon can vary significantly on century- to millenium time scales, an observation that has important implications for assessments of future climate and hydrologic change over densely populated portions of Asia. We present new, well-dated, multi-proxy records of past monsoon variation from three separate Arabian Sea sediment cores that span the last glacial maximum to late-Holocene. To a large extent, these records confirm earlier published suggestions that the monsoon strengthened in a series of abrupt events over the last deglaciation. However, our data provide a somewhat refined picture of when these events took place, and suggest the primacy of two abrupt increases in monsoon intensity, one between 13 and 12.5 ka, and the other between 10 and 9.5 ka. This conclusion is supported by the comparisons between our new marine data and published paleoclimatic records throughout the African-Asian monsoon region. The comparison of data sets further supports the assertion that maximum monsoon intensity lagged peak insolation forcing by about 3000 years, and extended from about 9.5 to 5.5 ka. The episodes of rapid monsoon intensification coincided with major shifts in North Atlantic-European surface temperatures and ice-sheet extent. This coincidence, coupled with new climate model experiments, suggests that the large land-sea thermal gradient needed to drive strong monsoons developed only after glacial conditions upstream of, and on, the Tibetan Plateau receded (cold North Atlantic sea-surface temperatures, European ice-sheets, and extensive Asian snow cover). It is likely that abrupt changes in seasonal soil hydrology were as important to past monsoon forcing as were abrupt snow-related changes in regional albedo. Our analysis suggests that the monsoon responded more linearly to insolation forcing after the disappearance of glacial boundary conditions, decreasing gradually after about 6 ka. Our data also support the possibility that significant century-scale decreases in monsoon intensity took place during the early to mid-Holocene period of enhanced monsoon strength, further highlighting the need to understand paleomonsoon dynamics before accurate assessments of future monsoon strength can be made.     

Assessment of Data Assimilation Approaches for the Simulation of a Monsoon Depression Over the Indian Monsoon Region

A low pressure system that formed on 21 September 2006 over eastern India/Bay of Bengal intensified into a monsoon depression resulting in copious rainfall over north-eastern and central parts of India. Four numerical experiments are performed to examine the performance of assimilation schemes in simulating this monsoon depression using the Fifth Generation Mesoscale Model (MM5). Forecasts from a base simulation (with no data assimilation), a four-dimensional data assimilation (FDDA) system, a simple surface data assimilation (SDA) system coupled with FDDA, and a flux-adjusting SDA system (FASDAS) coupled with FDDA are compared with each other and with observations. The model is initialized with Global Forecast System (GFS) forecast fields starting from 19 September 2006, with assimilation being done for the first 24 hours using conventional observations, sounding and surface data of temperature and moisture from Advanced TIROS Operational Vertical Sounder satellite and surface wind data over the ocean from QuikSCAT. Forecasts are then made from these assimilated states. In general, results indicate that the FASDAS forecast provides more realistic prognostic fields as compared to the other three forecasts. When compared with other forecasts, results indicate that the FASDAS forecast yielded lower root-mean-square (r.m.s.) errors for the pressure field and improved simulations of surface/near-surface temperature, moisture, sensible and latent heat fluxes, and potential vorticity. Heat and moisture budget analyses to assess the simulation of convection revealed that the two forecasts with the surface data assimilation (SDA and FASDAS) are superior to the base and FDDA forecasts. An important conclusion is that, even though monsoon depressions are large synoptic systems, mesoscale features including rainfall are affected by surface processes. Enhanced representation of land-surface processes provides a significant improvement in the model performance even under active monsoon conditions where the synoptic forcings are expected to be dominant.     

中国东部季风区夏季四类雨型的水汽输送特征及差异

利用1951~2015年NCEP/NCAR再分析逐日资料和中国160站月降水观测资料,及中国东部季风区夏季四类雨型（北方型、中间型、长江型和华南型）的划分结果,分析了东亚水汽输送与中国东部季风区夏季降水的关系,比较了四类雨型的水汽输送、收支特征及其差异,结果表明:（1）夏季影响中国东部季风区的水汽通道主要有以下6条:印度洋通道,表征印度季风区偏南的西风水汽输送;高原南侧通道,表征印度季风区偏北的西风水汽输送;太平洋通道,表征由西太平洋副热带高压（副高）带来的西太平洋的水汽;西风带通道,表征西风带的水汽输送;孟加拉湾通道,表征来自孟加拉湾向北的水汽输送;南海通道,表征来自印度洋和孟加拉湾在中南半岛转向及来自南海的水汽;与中国东部不同地区降水异常相联系的水汽通道存在明显的差异,且同一条水汽通道在夏季不同阶段与降水的关系也不尽相同。（2）四类雨型的水汽输送和收支特征有明显的差异,华北盛夏降水主要受亚洲季风水汽输送的影响,其次是西风带水汽输送,北方型年二者往往偏强,尤其是季风水汽输送增加一倍以上,贡献也明显增加,20世纪70年代中期之后,季风水汽输送显著减弱,西风带水汽输送的重要性相对增大;淮河流域夏季降水异常主要受太平洋通道水汽输送异常的主导,其次是高原南侧通道水汽输送,二者偏强并在淮河流域辐合时,淮河流域降水偏多形成中间型年;长江中下游地区夏季降水主要受太平洋通道水汽输送异常的主导,长江型年,副高西北侧的西南水汽输送异常加强,并与北方冷空气异常在长江中下游地区辐合,区域为正的水汽净收支;华南地区夏季降水则受印度洋通道、太平洋通道及南海通道的共同影响,当三条通道异常偏强,水汽与北方冷空气在华南地区辐合,形成华南型年。本研究所得结论加深了我们对四类雨型形成机理的认识,并为汛期主雨带的预测提供了参考。     

标量粗糙度对地气交换的影响

为提高地-气间感热和潜热通量的精度,利用Garratt的公式将标量粗糙度Z0T和Z0q引入BATS,对六种不同的植被作对比试验。结果表明:标量粗糙度Z0T和Z0q均远远小于动量粗糙度Z0,约相差3～10个数量级不等。晴天状况下,农作物区Z0/Z0T最小,约103,阔叶林最大,达1010;雨天状况下,各种植被间标量粗糙度的差异减小了。计算的地表温度、感热通量、潜热通量较原BATS的更为合理。     

东亚季风区地气系统的水平衡

本文利用欧洲中心ＥＣＭＷＦ１９８０～１９８９年１０年逐日资料及同期中国六大流域片的月径流量资料,用水平衡方法尝试了对东亚季风区进行蒸发估算、土壤和地下水含量估算及总的水量平衡分析。结果表明：全国陆地降水在７月份最大,平均约为９５ｍｍ,蒸发的最大值（８０ｍｍ）比其滞后１个月出现。北方流域和南方流域的水平衡特征明显不同。南方流域降水始终大于蒸发,蒸发峰值比降水峰值滞后１个月,土壤、地下水含量盛夏或初秋开始减小;北方流域蒸发有时超过降水,两者的峰值同月出现,土壤、地下水含量初夏就开始减小。东北流域片的水平衡特点介于上述南、北方流域特点之间。计算误差中由水汽通量散度项的日变化引起的误差可能占总误差的５０％。     

Cloud Condensation Nuclei over the Bay of Bengal during the Indian Summer Monsoon

The first measurements of cloud condensation nuclei(CCN) at five supersaturations were carried out onboard the research vessel "Sagar Kanya"(cruise SK-296) from the south to the head-bay of the Bay of Bengal as part of the Continental Tropical Convergence Zone(CTCZ) Project during the Indian summer monsoon of 2012. In this paper, we assess the diurnal variation in CCN distributions at supersaturations from 0.2% to 1%(in steps of 0.2%) and the power-law fit at supersaturation of 1%.The diurnal pattern shows peaks in CCN concentration(NCCN) at supersaturations from 0.2% to 1% between 0600 and 0700 LST(local standard time, UTC+0530), with relatively low concentrations between 1200 and 1400 LST, followed by a peak at around 1800 LST. The power-law fit for the CCN distribution at different supersaturation levels relates the empirical exponent(k) of supersaturation(%) and the NCCNat a supersaturation of 1%. The NCCNat a supersaturation of 0.4% is observed to vary from 702 cm~(-3) to 1289 cm~(-3), with a mean of 961 ± 161 cm~(-3)(95% confidence interval), representing the CCN activity of marine air masses. Whereas, the mean NCCNof 1628 ± 193 cm~(-3) at a supersaturation of 1% is higher than anticipated for the marine background. When the number of CCN spectra is 1293, the value of k is 0.57 ± 0.03(99% confidence interval)and its probability distribution shows cumulative counts significant at k ≈ 0.55 ± 0.25. The results are found to be better at representing the features of the marine environment(103 cm~(-3) and k ≈ 0.5) and useful for validating CCN closure studies for Indian sea regions.     

Monsoon rainfall and southern oscillation responses in the pressures over the Northern Indian Ocean

The pressure variations over the North Indian Ocean during the summer monsoon season have been exam-ined using the monthly data from June to September for the period 1961 to 1968. It is found that these varia-tions can be described by two significant eigenvectors (EV1 and EV2) which together account for 53% of the total variance.The first eigenvector (EV1) represents in phase variation over both, the Arabian Sea and the Bay of Bengal with higher variations over the northern side of the area. The second eigenvector (EV2) depicts the out-of-phase variation between the pressure anomalies over the north and the south of 15°N latitude with two areas of pronounced variation, viz., the head Bay of Bengal and the equatorial region near 65°E longitude.The coefficients of EV1 show significant association with rainfall of West Coast and Central India for the concurrent months. These coefficients also show significant association with the pressure and temperature indices of the Southern Oscillation. The coefficients of EV2 show significant association with the monsoon rainfall of south peninsular India.     

印度洋海温异常对印度季风、高原夏季降水的影响

利用经验正交函数(EOF)对印度洋海表面温度距平(SSTA)进行分解,分析了印度洋海温场的时空分布特征,并通过合成分析、奇异值(SVD)分解等方法,结果表明,前期和同期的印度洋海表温度距平分布场与夏季高原降水相关显著,西印度洋-非洲东海岸赤道地区的SSTA与高原夏季降水联系最密切;当春、夏季印度洋西部海温出现明显负(正)距平时,当年印度夏季风偏强(弱),高原夏季降水普遍偏多(少).     

中国东部夏季暴雨的年代际跃变及其大尺度环流背景

本文利用1960~2011年中国东部地面测站的逐日降水资料和JRA-55再分析资料探讨了夏季暴雨分布的年代际跃变及其相关联的大尺度环流异常特征。基于暴雨频数和占比(夏季暴雨占比是指5~8月暴雨降水量对总降水量的贡献百分比)的分析结果表明:中国东部夏季暴雨分布在20世纪70年代末和90年代初经历两次反相的经向"三极子"跃变。中国东部夏季暴雨的年代际演变过程可分为三个时段:1960~1979年为华南和华北暴雨偏多、江淮流域暴雨偏少的经向"三极子"分布;1980~1991年为南方和华北暴雨偏少、江淮流域暴雨偏多的经向三极子"分布;1992~2011年为南方暴雨显著偏多、华北暴雨持续偏少,逐渐形成经向"偶极子"分布,并导致近十多年我国夏季"南涝北旱"的整体格局。1970年代末(1990年代初)跃变相关联的大尺度环流异常配置:东亚夏季风的减弱(增强),西太平洋副高的增强西伸但南撤(北抬),南亚高压的减弱南缩(增强东扩),以及蒙古高原中低层的气旋式(反气旋式)环流异常。与此同时,低层局地环流也发生调整:华北和黄淮地区以及华南和江南地区均为反气旋式(气旋式)环流异常,而江淮流域和四川盆地受控于风场切变式辐合(辐散)异常;涡度场发生相应变化,南北方大部分地区的负(正)涡度异常不(有)利于低涡的发展,而江淮流域和四川盆地的正(负)涡度异常有(不)利于低涡的发展,进而引发江南和华南暴雨减少(增加)、江淮流域和四川盆地暴雨增加(减少)、黄淮和华北暴雨减少(增加)的经向"三极子"跃变。     

东亚与南亚雨季对流和层云降水云内的温湿结构特征分析

为认知降水云内的大气温湿结构特点,本文利用1998至2012年热带测雨卫星的测雨雷达(TRMM PR)和全球探空数据集(IGRA)的探测结果,融合计算获得了一套大气温湿廓线和降水廓线的准时空同步资料,并利用该融合资料研究了雨季东亚和南亚降水云内的温湿结构和不稳定能量特点。个例研究结果表明深厚对流降水表现出整层大气湿润、高空风速小的特点,层云降水则表现出850 hPa以下大气湿润、水汽随高度升高显著减少、高空风速大的特点。统计结果表明东亚季风区降水强度更大,对流和层云降水的回波顶高度分别可达17 km和12 km;南亚季风区降水强度较弱,回波顶高度比东亚约低1 km;统计结果还表明南亚季风区对流活动受季风推进的影响显著。两个季风区降水云团内的温度结构差异主要出现在近地面,南亚的近地面温度比东亚约高4℃,南亚对流降水云内的大气较东亚更干燥;整个雨季南亚降水的对流有效位能(CAPE)要大于东亚。本研究结果为模式模拟降水云温湿结构提供了观测依据。     

多要素表征的东亚季风区准双周振荡特征

为评估不同要素对东亚季风区准双周振荡的表征能力,对大气向外长波辐射（OLR）、500 hPa位势涡度、850 hPa相对涡度、850 hPa风场和750 hPa比湿等要素的准双周振荡特征进行对比,发现各要素均能很好反映东亚季风区明显的准双周振荡时空特征。OLR及500 hPa位势涡度、850 hPa相对涡度、850 hPa纬向风表征的准双周振荡呈明显的西北向传播特征,500 hPa位势涡度、850 hPa相对涡度、850 hPa纬向风北传更强,北传速度更快。850 hPa经向风的准双周振荡呈明显西移特征,北传弱,北传速度最慢。而750 hPa比湿准双周振荡呈东南向传播。不同要素准双周振荡的强度略有差异,其中750 hPa比湿与其他要素的差异大。总体而言,750 hPa比湿不能较好地表现出东亚季风区准双周振荡活动特征,而其余要素能很好地表征东亚季风区大气准双周振荡,其中500 hPa位势涡度和850 hPa相对涡度准双周振荡特征一致性高。     

印度季风的年际变化与高原夏季旱涝

根据NCEP／NCAR再分析资料和海表面温度距平资料,分析了西藏高原夏季降水5个多、少雨年春、夏季印度洋850hPa、200hPa合成风场和合成海温场,发现多、少雨年前期与同期印度洋高、低空风场和海温场均存在明显差异,主要表现为高原夏季降水偏多(少)年印度夏季风偏强(弱),在850hPa合成风场上印度半岛维持西(东)风距平,西印度洋—东非沿岸为南(北)风距平,夏季阿拉伯海区和孟加拉湾出现反气旋(气旋)距平环流;200hPa合成风场上印度半岛维持东(西)风距平,南亚高压偏强(弱),索马里沿岸为南(北)风距平。印度夏季风异常与夏季印度洋海温距平的纬向分布型有密切联系。当夏季海温场出现西冷(暖)东暖(冷)的分布型时,季风偏强(弱),高原降水普遍偏多(少)。相关分析指出,索马里赤道海区的风场异常与高原夏季降水的关系最为密切,在此基础上我们定义了一个索马里急流越赤道气流指数,用它识别高原夏季旱涝的能力较之目前普遍使用的印度季风指数有了明显的提高。     

印度半岛热力变化对亚洲季风环流异常的影响

海陆热力差异的季节性变化是季风产生的原始驱动力,因此海洋和大陆任何一方的变化必然会影响季风环流出现异常。本文探讨了欧亚大陆高、低层气温、南亚大陆和印度洋之间海陆热力差异的变化特征,发现南亚大陆的印度半岛区域下垫面的季节性增暖出现最早,其增暖从春季就开始出现,比对流层上层增暖偏早约两个月,相应的低层经向海陆温度梯度由冬季型转为夏季型最早的区域出现在80°E附近。进一步分析了印度半岛下垫面热力异常的变化特征及其与季风环流异常的关系,初步揭示了南亚区域高、低层气温变化的相互联系,发现印度半岛下垫面的迅速增温引起了大气的强感热加热,进而影响高、低层季风环流的异常变化。结果表明,春末夏初印度半岛暖下垫面的加热作用有利于亚洲夏季型季风环流建立偏早,同时也有利于亚洲夏季季风环流的加强,而冷下垫面的作用则相反。     

亚洲夏季风区中尺度地形降水结构及分布特征

采用高分辨率TRMM、AIRS卫星实测资料, 从气候态的降水微物理过程角度分析了亚洲夏季风期间中尺度山脉对不同性质降水垂直结构和水平分布的影响。研究表明, 中尺度山脉迎风、背风坡均以层云降水为主, 层云降水强度在迎风坡强于背风坡; 对流降水在迎风坡主要为浅对流, 背风坡主要为深对流, 对流降水强度在背风坡强于迎风坡。沿西南季风推进方向依次经过的中尺度山脉, 其两侧发生降水像素个数、 降水微物理特征等差异逐渐减小, 其中, 对流降水迎风坡向背风坡转变明显, 而层云降水背风坡向迎风坡转变明显。大气稳定度与对流降水在迎风、背风坡的分布相一致。另外, 对中尺度地形降水的研究为区域气候模式模拟高精度地形降水分布提供了实测依据。     

Low-Frequency Vortex Pair over the Tropical Eastern Indian Ocean and the South China Sea Summer Monsoon Onset

In this paper,the relationship between a pair of low-frequency vortexes over the equatorial Indian Ocean and the South China Sea(SCS) summer monsoon onset is studied based on a multi-year(1980-2003) analysis.A pair of vortexes symmetric about the equator is an important feature prior to the SCS summer monsoon onset.A composite analysis shows that the life cycle of the pair of vortexes is closely associated with the SCS summer monsoon onset.The westerly between the twin cyclones is an important factor to the SCS summer monsoon onset process.     

Long Range Forecasting Indian Summer Monsoon Rainfallby a Hybrid Principal Component Neural Network Model

Summary  The existing methods based on statistical techniques for long range forecasts of Indian monsoon rainfall have shown reasonably accurate performance, for last 11 years. Because of the limitation of such statistical techniques, new techniques may have to be tried to obtain better results. In this paper, we discuss the results of an artificial neural network model by combining two different neural networks, one explaining assumed deterministic dynamics within the time series of Indian monsoon rainfall (Model I) and other using eight regional and global predictors (Model II). The model I has been developed by using the data of past 50 years (1901–50) and the data for recent period (1951–97) has been used for verification. The model II has been developed by using the 30 year (1958–87) data and the verification of this model has been carried out using the independent data of 10 year period (1988–97). In model II, instead of using eight parameters directly as inputs, we have carried out Principal Component Analysis (PCA) of the eight parameters with 30 years of data, 1958–87, and the first five principal components are included as input parameters. By combining model I and model II, a hybrid principal component neural network model (Model III) has been developed by using 30 year (1958–87) data as training period and recent 10 year period (1988–97) as verification period. Performance of the hybrid model (Model III) has been found the best among all three models developed. Rootmean square error (RMSE) of this hybrid model during the independent period (1988–97) is 4.93% as against 6.83%of the operational forecasts of the India Meteorological Department (IMD) using the 16 parameter Power Regression model. As this hybrid model is showing good results, it is now used by the IMD for experimental long-range forecasts of summer monsoon rainfall over India as a whole. Received August 20, 1998/Revised April 20, 1999     

Effects of Tropical Cyclone Activity on the Boundary Moisture Budget over the Eastern China Monsoon Region

In summer, water vapor over the eastern China monsoon region(ECMR) comes mainly from low latitudes and is modulated by tropical cyclone(TC) activity in East Asia(EA). This study examines the variability of water vapor transport over the ECMR, especially of the moisture inflow via the southern and eastern boundaries. The results of composite and correlation analyses, using data from 1979 to 2010, reveal significant differences in moisture budgets along the boundaries between TC days and non-TC days. Almost 80% of the water vapor transport via the eastern boundary occurs during TC days, while at the southern boundary most inflow occurs on non-TC days. The ratio of the total water vapor transport between TC and non-TC days is about 4:6. In addition, the El Nio–Southern Oscillation(ENSO) exhibits a remarkable influence on moisture transport over EA and the contributions of moisture inflow on TC days increase(reduce) in El Nio(La Nia) years. Moreover,different types of TCs, based on their tracks, have different effects on the moisture budgets along the southern and eastern boundaries. When TCs enter EA(but not the ECMR), they favor the moisture inflow via the eastern boundary and hinder the moisture inflow via the southern boundary. After TCs enter the ECMR, the inhibition of moisture inflow via the southern boundary will be weakened, and more water vapor can be brought into the ECMR. For some recurving TCs with an increase in TC activity in the midlatitudes, the influence is uncertain in different cases. The results herein suggest that TC activity is an important factor that influences the boundary moisture budgets in the ECMR.