南半球环流异常与长江中下游夏季旱涝的关系

本文对长江中下游夏季旱涝年前期（3、4、5月的季节平均）和同期（6、7、8月的季节平均）的南半球环流作对比分析,探讨南半球环流异常与长江中下游夏季旱涝的关系. 结果表明前期和同期南半球环流均有显著差异,春季南极涛动对长江中下游旱涝的影响较夏季显著,南半球副热带高压在春、夏两季中有很好季节持续性. 因此,春季南半球环流异常可以作为长江中下游夏季旱涝主要短期气候预测因子. 南、北半球中高纬环流相互作用是长江中下游夏季降水的一个重要因素,其可能的联系机制是从南半球高纬到北半球东亚沿岸经向分布的正压遥相关. 研究中还发现在长江中下游的涝年,整个对流层中南半球春、夏两季有持续增温,这说明了南北半球的温度梯度减弱也是东亚夏季风减弱的原因之一.     

长江特大洪水成因与减灾措施

本文对汛期长江流域特大暴雨及洪涝成因进行了分析,认为与越赤道气流异常及受"非亚支宏观气流系统"的影响有关.同时指出,长江流域的特大暴雨及洪涝灾害不但可以预测,并且能够采取措施予以减弱.     

Influences of three oceans on record-breaking rainfall over the Yangtze River Valley in June 2020

Science China Earth Sciences - The rainfall over the Yangtze River Valley (YRV) in June 2020 broke the record since 1979. Here we show that all three oceans of the Pacific, Indian and Atlantic...     

长江流域降水径流的年代际变化分析

应用1951-2001年长江流域年、季降水量资料、1885-2001年梅雨量资料以及一百多年以来长江重要控制站宜昌、汉口、大通年径流量资料,对长江流域降水径流的年代际变化、气候转折以及降水径流的变化趋势进行了分析研究.反映出长江流域夏季降水将有更加集中的趋势,即降水时间更集中、强度趋向于更大,对防洪不利.据趋势预测,宜昌、汉口径流量有减少的趋势,大通径流量有增加的趋势.     

Teleconnection between the Indian summer monsoon onset and the Meiyu over the Yangtze River Valley

Based on the Indian and Chinese precipitation data and the NCEP-NCAR reanalysis circulation data, the relationship between the Indian summer monsoon (ISM) onset and the Meiyu over the Yangtze River Valley has been discussed by the methods of correlation analysis and composite analysis. The results show that the date of ISM onset over Kerala in the southwestern coast of the Indian Peninsula is about two weeks earlier than the beginning of the Meiyu over the Yangtze River Valley. After the outbreak of ISM, the teleconnection mode sets up from the western coast of India via the Bay of Bengal (BOB) to the Yangtze River Valley and southern Japan. It is different both in time and space from the telecon- nection mode which is from the northwest of India via the Tibetan Plateau to northern China. The for- mer mode is defined as the "south" teleconnection of the Asian summer monsoon, forming in the pe- riod of ISM onset; while the latter mode is called the "north" teleconnection, mainly occurring in the Asian monsoon culminant period. During the process of the "south" teleconnection’s formation, the Asian monsoon circulation has experienced a series of important changes: ISM onset, the northward movement of the south Asia high (SAH), the onset vortex occurrence, the eastward extension of the stronger tropical westerly belt, and the northeastward jump of the western Pacific subtropical high (WPSH), etc. Consequently, since ISM sets up over Kerala, the whole Asian continent is covered by the upper SAH after about two weeks, while in the mid- and lower troposphere, a strong wind belt forms from the Arabian Sea via the southern India, BOB and the South China Sea (SCS), then along the western flank of WPSH, to the Yangtze River Valley and southern Japan. With the northward moving of the subtropical jet streams, the upper westerly jet stream and the low level jet have been coupled ver- tically over east Asia, while the Yangtze River Valley happens to locate in the ascending motion area between the upper jet stream and the low level jet, i.e. right of the entrance of the upper jet stream and left of the low level jet. Such a structure of the vertical circulation can trigger the Meiyu onset over the Yangtze River Valley.     

长江流域汛期降水集中程度和洪涝关系研究

用新定义的降水集中度和集中期分别讨论了我国长江流域不同地段汛期降水在时间和空间上的分布特征和变化规律. 结果表明在对长江流域旱涝灾害研究方面,降水集中度和集中期能够定量地表征降水量在时空场上的非均匀性,提取出最大降水重心对应的时段,因此可以比较理想地分析旱涝灾害发生的基本特征及其形成机制. 并且在长江中下游地区的降水集中度与东亚副热带季风之间存在着比较密切的联系.     

Heating status of the Tibetan Plateau from April to June and rainfall and atmospheric circulation anomaly over East Asia in midsummer

Based on the 1958-1999 monthly averaged reanalysis data of the National Center for Environmental Prediction (NCEP)/National Center for Atmospheric Research (NCAR) and the rainfall data of 160 Chinese surface stations, the relationship between rainfall and the atmospheric circulation anomaly over East Asia (EA) in July and the sensible heating (SH) over the Tibetan Plateau (TP) from April to June (AMJ) is investigated by using the rotational experimental orthogonal function (REOF) method. The results show that the TP is an isolated heating source in this period. The lagged correlation analysis between the first rotational principal component (RPC) of SH over the TP in May and rainfall of EA in July demonstrates that strong SH over the TP before July leads to a positive rainfall anomaly over the TP, the valley between the Yangtze River and Huaihe River, and the regions south and southeast of the TP, and the Sichuan Basin and Yunnan-Guizhou Plateau, but less rainfall anomaly over the regions north, northeas     

On the Predictability of Northeast Monsoon Rainfall over South Peninsular India in General Circulation Models

In this study the predictability of northeast monsoon (Oct–Nov–Dec) rainfall over peninsular India by eight general circulation model (GCM) outputs was analyzed. These GCM outputs (forecasts for the whole season issued in September) were compared with high-resolution observed gridded rainfall data obtained from the India Meteorological Department for the period 1982–2010. Rainfall, interannual variability (IAV), correlation coefficients, and index of agreement were examined for the outputs of eight GCMs and compared with observation. It was found that the models are able to reproduce rainfall and IAV to different extents. The predictive power of GCMs was also judged by determining the signal-to-noise ratio and the external error variance; it was noted that the predictive power of the models was usually very low. To examine dominant modes of interannual variability, empirical orthogonal function (EOF) analysis was also conducted. EOF analysis of the models revealed they were capable of representing the observed precipitation variability to some extent. The teleconnection between the sea surface temperature (SST) and northeast monsoon rainfall was also investigated and results suggest that during OND the SST over the equatorial Indian Ocean, the Bay of Bengal, the central Pacific Ocean (over Nino3 region), and the north and south Atlantic Ocean enhances northeast monsoon rainfall. This observed phenomenon is only predicted by the CCM3v6 model.     

前期西太平洋暖池热含量异常影响长江中下游夏季降水的可能途经

利用日本气象厅历史海温资料、NCEP/NCAR再分析资料、海表温度和降水资料,研究了1951-2010年前期西太平洋暖池（简称暖池）热含量异常与长江中下游夏季降水的关系,及其可能影响途径.结果表明,前期暖池热含量与长江中下游夏季降水存在超前2个季节的显著负相关关系,前期11-1月（即上年11月-当年1月,下同）暖池关键区（166.5°E-173.5°W,7.5°S-3.5°N）0~200 m热含量的偏低（高）对长江中下游夏季降水偏多（少）的预测有重要指示意义.前期暖池热含量异常的持续存在,及其外强迫作用激发的具有一定斜压性结构的夏季东亚-太平洋型遥相关（EAP）,可能是影响长江中下游夏季降水的主要原因.暖池热含量在前期11-1月异常偏低导致其西北侧菲律宾异常反气旋形成并维持,夏季菲律宾异常反气旋向西北方向扩展加强,东亚沿岸EAP波列形成,使得长江中下游及其以东的西北太平洋副热带地区受异常气旋控制,且长江中下游地区为北方冷空气与南方暖湿气流的交汇区.同时,对流层高层东亚沿岸亦存在位置较中低层向西北偏移的EAP波列,长江中下游及其以南地区为异常偏强高压,高层辐散与中低层辐合相配合,有利于长江中下游地区对流发展和降水增多;反之亦然.     

1998年中国特大洪涝时期的环流特征

研究了 1 998年我国特大洪涝的环流特征 ,长江流域洪涝年全国有两种降水分布型 :即长江流域大水全国降水偏多型及长江流域大水其南北降水偏少型 .进而 ,研究了这两类分布型的环流特征 ,并指出北半球 50 0hPa位势高度场有着显著的差异 .鄂霍茨克海高压的建立是长江流域多雨的重要条件 ,南海高压的强弱在全国降水分布型中起着重要的作用     

Coupled flow and salinity transport modelling in semi-arid environments: The Shashe River Valley,Botswana

Numerical groundwater modelling is used as the base for sound aquifer system analysis and water resources assessment. In many cases, particularly in semi-arid and arid regions, groundwater flow is intricately linked to salinity transport. A case in point is the Shashe River Valley in Botswana. A freshwater aquifer located around an ephemeral stream is depleted by the combined effect of transpiration and pumping. Quantitative system analysis reveals that the amount of water taken by transpiration is far more than the quantities pumped for water supply. Furthermore, the salinity distribution in and around Shashe River Valley as well as its temporal dynamics can be satisfactorily reproduced if the transpiration is modelled as a function of groundwater salinity. The location and dynamics of the saltwater–freshwater interface are highly sensitive to the parameterization of evaporative and transpirative salt enrichment. An existing numerical code for coupled flow/transport simulations (SEAWAT) was adapted to this situation. Model results were checked against a large set of field data including water levels, water chemistry, isotope data and ground and airborne geophysical data. The resulting groundwater model was able to reproduce the long-term development of the freshwater lens located in Shashe River Valley as well as the decline in piezometric heads observed over the last decade. Furthermore, the old age of the saline water surrounding the central freshwater lens could be explained.     

江淮流域强暴雨过程对阻高和副高逐日变化的响应关系

江淮流域是我国暴雨频发的地区之一,而乌拉尔山阻塞高压和西太平洋副热带高压是北半球两个主要的大气环流系统.本文统计分析了1971~2003年期间乌山阻塞高压和西太平洋副高的逐日强度变化特征,研究了乌山阻塞高压和西太平洋副高对江淮流域强暴雨过程的响应关系.结果表明,江淮流域多数强暴雨过程发生在乌山阻高的减弱期,在乌山阻高的建立和加强期较少有持续性暴雨发生.乌山阻高的突然减弱是江淮流域强暴雨过程发生的强信号之一.同时,西太平洋副热带高压的加强西伸登陆是江淮流域强暴雨过程发生的必要条件之一.     

亚洲夏季风水汽输送的年际年代际变化与中国旱涝的关系

利用1958～2002年的NCEP-R1和ERA-40逐日再分析资料以及中国160站点月平均降水资料探讨了亚洲夏季风水汽输送的年际年代际变化及其与中国降水异常的关系. 分析结果表明,亚洲夏季风水汽输送和中国夏季降水的异常主模态呈现显著的准两年变化周期. 当南亚夏季风纬向水汽输送偏强（弱）时,东亚—西北太平洋地区水汽输送的偶极型异常有利于长江中下游地区和江淮流域的水汽辐合负（正）异常与华南和华北地区的水汽辐合正（负）异常,从而引起中国东部的经向三极子雨型,即长江中下游地区和江淮流域的偏旱（涝）与华南和华北地区的偏涝（旱）. 1970s年代末之后,亚洲夏季风水汽输送的年代际减弱与西北太平洋地区水汽输送的偶极型异常相配合,导致长江中下游地区的持续偏涝与华南和华北地区的持续偏旱. 从中国夏季降水异常与水汽通量辐合异常的同相对应关系来看,ERA-40资料对亚洲夏季风水汽输送年际年代际变化的描述能力强于NCEP-R1资料.     

中尺度模式积云参数化方案的改进及其在暴雨模拟中的应用

本文针对中国暴雨发生发展天气特征,改进和发展了一种适合于描述东亚暴雨的中尺度积云参数化方案.首先基于近年来(1990—2010)江淮流域汛期降水合成分析的基础上,诊断出组织化对流降水环境的动力参数;其次利用该动力参数作为动力控制条件,改进了Kain-Fritsch Eta中尺度积云对流参数化方案;最后利用改进的中尺度积云参数化方案对梅雨期暴雨、华南前汛期暴雨过程进行了数值模拟,结果表明:改进后的中尺度积云参数化方案对上述两次暴雨过程的落区及强度的模拟,均有明显改进.     

Comparative study of different wavelets for developing parsimonious Volterra model for rainfall-runoff simulation

Although the Volterra models are non-parsimonious ones, they are being used because they can mimic dynamics of complex systems. However, applying and identification of the Volterra models using data may result in overfitting problem and uncertainty. In this investigation we evaluate capability of different wavelet forms for decomposing and compressing the Volterra kernels in order to overcome this problem by reducing the number of the model coefficients to be estimated and generating smooth kernels. A simulation study on a rainfall?runoff process over the Cache River watershed showed that the method performance is successful due to multi-resolution capacity of the wavelet analysis and high capability of the Volterra model. The results also revealed that db2 and sym2 wavelets have the same high potential in improving the linear Volterra model performance. However, QS wavelet was more successful in yielding smooth kernels. Moreover, the probability of overfitting while identifying the nonlinear Volterra model may be less than the linear model.     

中国异常增暖来年江淮流域易发生大洪水

在1987年以来全球气温明显增高的同时,中国气温也显著增高,1997年达到了峰值,2006年又出现了次峰值.为搞清异常增暖对中国旱涝等灾害的发生可能带来的影响,本文重点统计分析了中国年平均气温对全球年平均气温的响应关系,并分析研究了1951～2006年期间中国月年平均气温的年际变化特征和汛期主要多雨带类型及发生严重洪涝区域之间的对应关系.结果发现：（1）3个中国年平均气温异常偏高但8月气温不高的来年汛期主要多雨带和严重洪涝区域都发生在淮河流域（3/3）;（2）5个年平均气温偏高且8月气温也明显偏高的来年汛期长江流域发生了大洪水和严重洪涝（5/5）,特别是其中2个8月气温特高的来年（1954、1998年）汛期长江流域发生了特大洪水和严重洪涝（2/2）.对这个前兆强信号的发现和揭示,不但证明了全球和中国异常增暖对来年中国汛期水旱灾害的重大影响,也对准确预测中国汛期主要多雨带分布类型和江淮流域的大洪水和特大洪水有特别重要的应用价值.     

Evaluation of a spatial rainfall generator for generating high resolution precipitation projections over orographically complex terrain

Space–time variability of precipitation plays a key role as driver of many environmental processes. The objective of this study is to evaluate a spatiotemporal (STG) Neyman–Scott Rectangular Pulses (NSRP) generator over orographically complex terrain for statistical downscaling of climate models. Data from 145 rain gauges over a 5760-km² area of Cyprus for 1980–2010 were used for this study. The STG was evaluated for its capacity to reproduce basic rainfall statistical properties, spatial intermittency, and extremes. The results were compared with a multi-single site NRSP generator (MSG). The STG performed well in terms of average annual rainfall (+1.5 % in comparison with the 1980–2010 observations), but does not capture spatial intermittency over the study area and extremes well. Daily events above 50 mm were underestimated by 61 %. The MSG produced a similar error (+1.1 %) in terms of average annual rainfall, while the daily extremes (>50-mm) were underestimated by 11 %. A gridding scheme based on scaling coefficients was used to interpolate the MSG data. Projections of three Regional Climate Models, downscaled by MSG, indicate a 1.5–12 % decrease in the mean annual rainfall over Cyprus for 2020–2050. Furthermore, the number of extremes (>50-mm) for the 145 stations is projected to change between ?24 and +2 % for the three models. The MSG modelling approach maintained the daily rainfall statistics at all grid cells, but cannot create spatially consistent daily precipitation maps, limiting its application to spatially disconnected applications. Further research is needed for the development of spatial non-stationary NRSP models.     

Spatial and temporal variations in rainfall erosivity during 1960–2005 in the Yangtze River basin

Water resources and soil erosion are the most important environmental concerns in the Yangtze River basin, where soil erosion and sediment yield are closely related to rainfall erosivity. The present study explores the spatial and temporal changing patterns of the rainfall erosivity in the Yangtze River basin of China during 1960–2005 at annual, seasonal and monthly scales. The Mann–Kendall test is employed to detect the trends during 1960–2005, and the T test is applied to investigate possible changes between 1991–2005 and 1960–1990. Meanwhile the Rescaled Range Analysis is used for exploring future trend of rainfall erosivity. Moreover the continuous wavelet transform technique is using studying the periodicity of the rainfall erosivity. The results show that: (1) The Yangtze River basin is an area characterized by uneven spatial distribution of rainfall erosivity in China, with the annual average rainfall erosivity range from 131.21 to 16842 MJ mm ha^?1 h^?1. (2) Although the directions of trends in annual rainfall erosivity at most stations are upward, only 22 stations have significant trends at the 90 % confidence level, and these stations are mainly located in the Jinshajiang River basin and Boyang Lake basin. Winter and summer are the seasons showing strong upward trends. For the monthly series, significant increasing trends are mainly found during January, June and July. (3) Generally speaking, the results detected by the T test are quite consistent with those detected by the Mann–Kendall test. (4) The rainfall erosivity of Yangtze River basin during winter and summer will maintain a detected significant increasing trend in the near future, which may bring greater risks to soil erosion. (5) The annual and seasonal erosivity of Yangtze River basin all have one significant periodicity of 2–4 years.     

基于GPS技术实时监测2009年7月22日日全食期间长三角区域电离层TEC变化

2009年7月22日上午发生的日全食是21世纪持续时间最长的日全食,其全食带覆盖了中国中部的K江流域,为研究日全食对电离层的影响提供了一次难得的机会,为此本文通过卡尔曼滤波算法实现了实时求解TEC和GPS系统硬件延迟,为实时监测日全食期间电离层变化提供了绝对的电离层TEC.采用上海和浙江区域内GPS网的观测数据,建立了...     

Understanding the role of SST anomaly in extreme rainfall of 2020 Meiyu season from an interdecadal perspective

Extreme Meiyu rainfall in 2020, starting from early June to the end of July, has occurred over the Yangtze River valley(YRV), with record-breaking accumulated precipitation amount since 1961. The present study aims to examine the possible effect of sea surface temperature(SST) on the YRV rainfall in Meiyu season from the interdecadal perspective. The results indicate that YRV rainfall in June exhibits more significant variability on interdecadal time scale than that in July. The interdecadal-filtered atmospheric circulation in June, compared with the counterpart in July, shows a more predominant and better-organized Western North Pacific Anticyclone(WNPAC) anomaly, which could transport abundant moisture to the YRV by anomalous southwesterly prevailing in northwestern flank of anomalous WNPAC. Both observation and numerical experiment indicate that the interdecadal change of the SST anomaly in tropical western Indian Ocean(TWI) from preceding May to June can significantly affect the anomalous WNPAC, leading to enhanced YRV rainfall in June. The TWI SST anomaly shifts from a cold phase to a warm phase around the early 2000 s, with a magnitude of 0.7℃ in 2020, which implies that such interdecadal warming might partly contribute to the heavy rainfall in June 2020 by providing a large-scale favorable background flow.