高低层纬向风切变的年际变率及气候学意义

用1959～1998共40年全球格点风场资料计算了200 hPa与850 hPa的纬向风速差, 即对流层纬向风切变(简称TZWS),并在此基础上得到其距平值。为了全面考察对流层中环流异常的年际变率特征, 根据TZWS的标准差分布, 文中选出了7个TZWS标准差数值大于5 m/s的代表性区域。这7个区域分别位于赤道中太平洋、赤道东太平洋、北太平洋亚热带地区、南太平洋亚热带地区、赤道大西洋、亚洲西南部以及东北部。前5个分别位于赤道、亚热带太平洋和大西洋的区域TZWS指数, 其年际变率与ENSO循环有密切联系, 反映了热带海洋温度异常对低纬度地区对流层环流的影响; 后2个区域的TZWS指数反映的是亚洲西南部和东北部的气候统变率, 在年际时间尺度上与ENSO循环有着明显的区别。通过对全球陆地降水和温度场的分析, 比较了热带、副热带的TZWS指数以及北极涛动指数的异同, 发现后2个区域TZWS指数能很好且能独立反映出北半球中高纬度地区陆地降水及陆地温度的异常模态。     

对ENSO循环机理的一些新认识

近几年国内学者通过资料诊断、理论分析和数值试验,对ENSO循环的机理提出了一些新的看法,其中包括El Nino和La Nina的起源,与ENSO循环相联系的暖、冷水的传播过程,热带西太平洋纬向风应力异常,以及热带东太平洋经向风应力异常在ENSO循环中的动力作用等.作者介绍了我国在这些方面的一些研究成果.     

Contrasting Regional Responses of Indian Summer Monsoon Rainfall to Exhausted Spring and Concurrently Emerging Summer El Ni?o Events

The inverse relationship between the warm phase of the El Ni?o Southern Oscillation(ENSO) and the Indian Summer Monsoon Rainfall(ISMR) is well established. Yet, some El Ni?o events that occur in the early months of the year(boreal spring) transform into a neutral phase before the start of summer, whereas others begin in the boreal summer and persist in a positive phase throughout the summer monsoon season. This study investigates the distinct influences of an exhausted spring El Ni?o(springtime)...     

中国东北地区冬季气温趋势及反相模态分析

利用1951—2010年我国东北地区共97个台站的逐月气温资料,应用trend-EOF和EOF分析方法研究了我国东北地区冬季气温的趋势模态和反相模态及其影响因子。trend-EOF的结果表明,东北地区均为一致型的趋势变化,trend-PC1有明显的年代际周期变化和更长期的上升趋势变化特征。去除全球变暖信号后的EOF分析结果表明:第一模态仍为全区一致型的空间分布,而第二模态的空间分布呈现南北反相型的分布特征,是东北冬季气温变化模态中极为重要的一部分,对应的时间序列有明显的年际周期变化,前两个模态可以解释总方差80%以上的变化。东北地区全区一致的上升趋势是在全球变暖大背景下发生的,既是对全球变暖的局地响应,同时全球变暖也使大气环流发生了变化,西伯利亚高压减弱,纬向环流增强,导致了东北地区冬季气温全区的上升趋势。赤道东太平洋的异常海温对第二模态的出现具有一定的预示意义,当太平洋出现典型的厄尔尼诺年海温距平场分布特征时,东北南部较常年偏暖,北部地区却较常年偏冷。     

Fire activity in Borneo driven by industrial land conversion and drought during El Niño periods, 1982–2010

Tropical rainforests, naturally resistant to fire when intact, are increasingly vulnerable to burning due to ongoing forest perturbation and, possibly, climatic changes. Industrial-scale forest degradation and conversion are increasing fire occurrence, and interactions with climate anomalies such as El Niño induced droughts can magnify the extent and severity of fire activity. The influences of these factors on fire frequency in tropical forests has not been widely studied at large spatio-temporal scales at which feedbacks between fire reoccurrence and forest degradation may develop. Linkages between fire activity, industrial land use, and El Niño rainfall deficits are acute in Borneo, where the greatest tropical fire events in recorded history have apparently occurred in recent decades. Here we investigate how fire frequency in Borneo has been influenced by industrial-scale agricultural development and logging during El Niño periods by integrating long-term satellite observations between 1982 and 2010 – a period encompassing the onset, development, and consolidation of its Borneo’s industrial forestry and agricultural operations as well as the full diversity of El Niño events. We record changes in fire frequency over this period by deriving the longest and most comprehensive spatio-temporal record of fire activity across Borneo using AVHRR Global Area Coverage (GAC) satellite data. Monthly fire frequency was derived from these data and modelled at 0.04° resolution via a random-forest model, which explained 56% of the monthly variation as a function of oil palm and timber plantation extent and proximity, logging intensity and proximity, human settlement, climate, forest and peatland condition, and time, observed using Landsat and similar satellite data. Oil-palm extent increased fire frequency until covering 20% of a grid cell, signalling the significant influence of early stages of plantation establishment. Heighted fire frequency was particularly acute within 10 km of oil palm, where both expanding plantation and smallholder agriculture are believed to be contributing factors. Fire frequency increased abruptly and dramatically when rainfall fell below 200 mm month⁻¹, especially as landscape perturbation increased (indicated by vegetation index data). Logging intensity had a negligible influence on fire frequency, including on peatlands, suggesting a more complex response of logged forest to burning than appreciated. Over time, the epicentres of high-frequency fires expanded from East Kalimantan (1980’s) to Central and West Kalimantan (1990’s), coincidentally but apparently slightly preceding oil-palm expansion, and high-frequency fires then waned in East Kalimantan and occurred only in Central and West Kalimantan (2000’s). After accounting for land-cover changes and climate, our model under-estimates observed fire frequency during ca. 1990–2002 and over-estimates it thereafter, suggesting that a multi-decadal shift to industrial forest conversion and forest landscapes may have diminished the propensity for high-frequency fires in much of this globally significant tropical region since ca. 2000.     

台湾地震与大陆旱涝

利用近80年台湾、大陆和环西太平洋的地震资料,简要分析了地震场与我国东部旱涝分布的关系。台湾强震加上华北或蒙古两年内亦有强震是江淮干旱、华北涝的条件；单有台湾强震是江南旱的前兆；台湾弱震年的第一年加上长江中下游有4.5级以上地震发生是长江大涝的条件。对此统计结果从岩石圈与大气圈相互热交换的观点,提出了一个初步解释。     

厄尔尼诺对长江中下游地区夏季持续性降水结构的影响及其可能机理

根据中国国家气象信息中心提供的1961-2016年2400多站的逐日降水观测数据,分析了厄尔尼诺对长江中下游地区夏季持续性降水结构的影响。发现长江中下游地区的降水主要以5 d及以内的降水事件为主,其强度主要分布在4-24 mm/d;5 d以上降水所占比例相对较小,而其强度主要分布在12-24 mm/d。其中,长江中下游地区夏季大于5 d的降水事件（长持续性降水事件）所占比例和强度在长江以南地区要大于长江以北地区。同时,在厄尔尼诺的影响下,长江以南地区的降水结构从2-5 d持续性降水事件（短持续性降水事件）和1 d的降水事件（非持续性降水事件）向长持续性降水事件转变,且其强度增加。而长江以北地区,以湖北为主,降水结构存在从非持续性向短持续性降水事件转变的现象,短持续性降水事件的强度也略有增强。因此,厄尔尼诺使得长江中下游地区的降水事件更多地以持续性降水为主,不同持续性降水事件的强度加强。进一步分析发现厄尔尼诺次年西太平洋副热带高压西伸加强,与其相关的东南季风所输送的水汽也有所加强。同时,中高纬度阻塞高压环流形势稳定维持。受这些因子的共同作用,最终导致长江中下游地区夏季降水持续性延长和降水强度加强。而这将给长江中下游地区的农作物种植和经济发展等带来较严重的影响,使防洪、防涝工作面临严峻的挑战。      

Simulating Eastern-and Central-Pacific Type ENSO Using a Simple Coupled Model

Severe biases exist in state-of-the-art general circulation models(GCMs) in capturing realistic central-Pacific(CP) El Nino structures. At the same time, many observational analyses have emphasized that thermocline(TH) feedback and zonal advective(ZA) feedback play dominant roles in the development of eastern-Pacific(EP) and CP El Nino-Southern Oscillation(ENSO), respectively. In this work, a simple linear air-sea coupled model, which can accurately depict the strength distribution of the TH and ZA feedbacks in the equatorial Pacific, is used to investigate these two types of El Nino. The results indicate that the model can reproduce the main characteristics of CP ENSO if the TH feedback is switched off and the ZA feedback is retained as the only positive feedback, confirming the dominant role played by ZA feedback in the development of CP ENSO. Further experiments indicate that, through a simple nonlinear control approach, many ENSO characteristics,including the existence of both CP and EP El Nino and the asymmetries between El Nino and La Nina, can be successfully captured using the simple linear air-sea coupled model. These analyses indicate that an accurate depiction of the climatological sea surface temperature distribution and the related ZA feedback, which are the subject of severe biases in GCMs, is very important in simulating a realistic CP El Nino.     

2016年我国梅雨异常特征及成因分析

利用国家气候中心梅雨监测资料和NCEP再分析资料,对2016年我国梅雨异常特征及其大尺度环流成因进行了分析。结果表明:（1）2016年我国梅雨有明显的区域特征,其中江南区入梅偏早14天,与1995年并列成为1951年以来入梅最早的年份,出梅偏晚11天,梅雨期（量）偏长（多）,但梅雨期日平均降水量偏少;长江区入梅和出梅均偏晚,梅雨期接近常年,但梅雨量偏多一倍以上,梅雨量和梅雨期日平均降水量分别为1951年以来历史同期第三和第二高值;江淮区入梅、出梅及梅雨期接近常年,但梅雨量偏多。（2）对流层高、中、低层环流系统冬夏季节性调整和转变显著提前的共同作用,导致了2016年江南区入梅显著偏早;东亚副热带西风急流、西太平洋副热带高压（副高）和东亚夏季风涌在7月中旬阶段性地南落导致了江南区和长江区出梅偏晚。（3）受到前冬超强厄尔尼诺衰减和春、夏季热带印度洋全区一致海温模态偏暖的影响,梅雨期副高异常偏强,副高西南侧转向的水汽输送异常偏强,并在长江区和江淮区与北方弱冷空气辐合,造成梅雨量异常偏多。     

Why Was the Strengthening of Rainfall in Summer over the Yangtze River Valley in 2016 Less Pronounced than that in 1998 under Similar Preceding El Niño Events?——Role of Midlatitude Circulation in August

It is widely recognized that rainfall over the Yangtze River valley (YRV) strengthens considerably during the decaying summer of El Niño, as demonstrated by the catastrophic flooding suffered in the summer of 1998. Nevertheless, the rainfall over the YRV in the summer of 2016 was much weaker than that in 1998, despite the intensity of the 2016 El Niño having been as strong as that in 1998. A thorough comparison of the YRV summer rainfall anomaly between 2016 and 1998 suggests that the difference was caused by the sub-seasonal variation in the YRV rainfall anomaly between these two years, principally in August. The precipitation anomaly was negative in August 2016——different to the positive anomaly of 1998. Further analysis suggests that the weaker YRV rainfall in August 2016 could be attributable to the distinct circulation anomalies over the midlatitudes. The intensified "Silk Road Pattern" and upper-tropospheric geopotential height over the Urals region, both at their strongest since 1980, resulted in an anticyclonic circulation anomaly over midlatitude East Asia with anomalous easterly flow over the middle-to-lower reaches of the YRV in the lower troposphere. This easterly flow reduced the climatological wind, weakened the water vapor transport, and induced the weaker YRV rainfall in August 2016, as compared to that in 1998. Given the unique sub-seasonal variation of the YRV rainfall in summer 2016, more attention should be paid to midlatitude circulation——besides the signal in the tropics——to further our understanding of the predictability and variation of YRV summer rainfall.