天气尺度瞬变扰动的物理分解原理

大气变量可以在时空域内物理分解成四个部分.前两个是纬圈-时间平均的对称部分和时间平均的非对称部分,分别由太阳辐射和海陆分布热力调节的季节变化引起,并形成规则的逐日气候.第三部分是由年际和季节内的热带海洋或极地热力强迫引起的纬圈平均瞬变对称扰动,可形成大气变量的行星尺度指数循环.第四部分是一些复杂的天气尺度瞬变非对称扰动.大气变量中的逐日天气尺度瞬变扰动,可以用于指示区域持续性的干旱、暴雨、低温和热浪等极端天气事件.天气尺度瞬变扰动天气图能在极端天气事件的预报中发挥应有的作用.     

陆地下垫面与环境气流对锋面气旋发展过程影响的理想试验

地面摩擦和大尺度流场是影响锋面气旋结构演变的重要因子，本文使用WRF模式并采用湿物理方案，通过理想化试验，综合考虑陆面摩擦、气旋式扰动相对于急流位置和大尺度流场对锋面气旋结构变化的影响.结果表明：当仅考虑单一因子时，气旋式扰动位于急流南侧和辐合流流场有利于气旋形成Shapiro-Keyser（S-K）模型结构.当同时考虑地面摩擦和大尺度辐合时，气旋式扰动位于急流北侧的气旋发展整体向经典的挪威气旋模型转变；扰动位于急流南侧的的气旋发展则整体呈现S-K模型结构，此时辐合流场有利于S-K模型结构出现.当同时考虑地面摩擦和大尺度辐散时，扰动处于急流北侧的气旋呈现挪威气旋模型结构；由于气旋式扰动穿越急流和辐散流场同时有利于暖锋后弯发展以及冷暖锋距离加大和锋消，扰动处于急流南侧的气旋呈现典型S-K气旋模型结构.这个结果解释了在东亚大陆地区辐散场形势下出现的S-K模型结构气旋个例.     

斜压基本气流对东亚夏季风区气旋扰动低频发展影响的数值模拟研究

本文将夏季气候平均的基本气流分解为正压和斜压分量,使用一个线性斜压模式,研究了不同斜压基本气流对热带西北太平洋地区初始气旋性环流扰动低频发展演变的重要作用.其中,控制试验较好地模拟出初始气旋扰动向西北方向传播、在西北太平洋季风槽附近停滞增强、在东亚地区出现经向波列和在南海到海洋大陆地区形成西北—东南向波列等特征.改变斜压分量的敏感性试验结果表明,正压基流不能为西传的初始扰动供给足够的能量;海陆热力差异引起东亚地区的纬向温度梯度和北风垂直切变,是东亚太平洋型经向波列形成和维持的重要因素;当基本气流中的斜压纬向偏差部分线性增大时,扰动的能量会呈e指数迅速增强,提示在气候变化的背景下,基本气流微小的改变可能带来天气或季节内扰动强度的剧烈响应.     

热带气旋与多尺度气候变异:2018年西北太平洋台风季概况

2018年是西北太平洋热带气旋异常活跃的一年,该年台风季(6~11月)共有26个热带气旋生成,远超气候平均的22个,是近20年来第二活跃的台风季.2018年,热带气旋多形成于西北太平洋东部和南海北部,台风活动区域偏东北,移动路径多由西北行转为偏北行登陆,造成了中国大陆重大经济损失(约697.3亿元).这一年,多尺度气候变异共同作用引起了西北太平洋季风槽的增强和副热带高压减弱,从而导致了热带气旋异常活跃.在此过程中,年际气候背景条件起了主导作用,而年代际气候变异仅起到了弱的抑制作用.在年际尺度上,一个发展的中太平洋厄尔尼诺事件和正相位的太平洋经向模态(PMM)共同作用形成了2018年有利于热带气旋活动的大尺度环流背景条件.进一步研究表明,中太平洋海温强迫在西北太平洋热带气旋活动中起到了关键调节作用,而PMM通过中太平洋海温间接影响西北太平洋热带气旋活动.在中太平洋厄尔尼诺年,中太平洋海温增暖引起的对流异常通过大气的Gill型-罗斯贝波响应导致了西北太平洋上异常气旋性环流,这使得西北太平洋上副热带高压减弱、季风槽增强东北移,有利于热带气旋在此形成和发展.短期气候及天气变化,如季节内振荡(ISO)和天气尺度扰动(SSD)的活动,与增强的季风槽相互作用,加剧了2018年异常的西北太平洋热带气旋的活动.     

一个创新研究——大气数值模式变量的物理分解及其在极端事件预报中的应用

大气温度、湿度、位势高度和风等数值模式变量可以物理分解为纬圈-时间平均的对称部分和时间平均的非对称部分,以及行星尺度瞬变扰动和天气尺度瞬变扰动等四个部分.区域持续性干旱、暴雨、热浪、低温和雨雪冰冻等极端天气事件与前期及同期数值模式中的行星尺度和天气尺度大气扰动系统之间呈现出密切的关系.瞬变扰动天气图可成为预报极端天气事件的新工具.本文在归纳本期9篇原创性文章的基础上,探讨大气变量物理分解后需要进一步研究的理论问题和应用前景.     

中国热浪事件的大气扰动结构及其稳定性分析

利用对流层至平流层大气变量的物理分解,本文发现400 hPa上的天气尺度温度扰动正值和250 hPa上的天气尺度高度扰动正值能够指示地面上的高温和热浪事件.理论和观测分析发现,当扰动静止波中心出现在40°N-45°N时,准静止波波长较长,影响范围大,持续时间久,容易在中国形成区域持续性热浪事件.在江南-华南、长江沿江及河套-华北的区域,干热浪事件静止波的稳定时间在6.5天以上.对流层大气天气尺度扰动波动在垂直方向具有倾斜特征,250 hPa高度上,静止波稳定位置比地面热浪区域中心普遍偏北6~12个纬距.在低纬度(副热带高压带南侧),大气中向西北方向移动的天气尺度扰动,只有到达副高脊线以北的西风带后,才能形成静止波.     

如何提高天气预报和气候预测的技巧？

从理论上探讨如何提高天气预报和气候预测的技巧.气候包括以小时为基本单位的昼夜循环、以日为基本单位的年(季节)循环、年代际循环和世纪循环等时间尺度的变化.这些气候变化存在确定的外强迫,是可以被认识和预报的.相对气候昼夜循环和年(季节)循环的偏差是天气尺度扰动.天气尺度的瞬变大气扰动可引发极端天气事件.有技巧的天气预报正是要通过天气尺度大气扰动信号,提前几天甚至十几天,预报出极端天气事件的发生.相对气候年代际和世纪循环的偏差是气候异常,有技巧的气候预测正是要预报出这种异常.距平天气图会大大提高短期和中期—延伸期天气预报的技巧,距平数值预报模式的研制也会加快提高中期—延伸期天气预报和气候预测的技巧.     

北半球大气遥相关型与区域尺度大气扰动

北极涛动(AO)、北大西洋涛动(NAO)和太平洋-北美型(PNA)等北半球大气遥相关型,可以用大气位势高度的物理分解扰动分量解释.结果发现,AO反映的是北极地区行星尺度纬圈平均扰动分量的变化,PNA与持续性天气尺度扰动分量相联系,NAO是行星尺度纬圈平均扰动与天气尺度扰动共同作用的结果.对行星尺度纬圈平均扰动分量和天气尺度扰动分量用旋转经验正交函数(REOF)展开,不但可以证实人们已经命名的区域性大气涛动,还新发现了北极地区的两对偶极涛动、欧亚涛动(EAO)和"大西洋-欧亚型"(AEA)波列.这些涛动连接了相邻地区的异常天气和异常气候.     

台湾岛对气流扰动的影响

本文根据一个三维气流过山的模型,用数值快速傅里叶变换方法,讨论理想东北季风气流经过台湾岛产生的扰动气压场、扰动垂直速度场和水平流场.经与实际东北季风下台湾岛的气候特征进行比较,结果令人满意.     

长江流域梅雨锋暴雨过程的中尺度结构个例分析

利用外场试验资料, 用双多普勒雷达技术和径向速度场分析方法, 研究了2002年7月22~23日发生在长江流域一次暴雨过程的中尺度结构动力特征和演变过程. 结果表明, 在西南-东北取向1000 km长的暴雨雨带中, 存在有许多尺度在20~50 km大小的β或γ中尺度强回波带或回波团, 在长江中游, 混合性强降水雨带在长200 km以上的低空切变线上形成; 在切变线南侧的低空西南急流和北侧的偏东气流共同作用下形成上升气流, 对流云得到发展, 切变线低空风场的扰动、中尺度切变和β中尺度辐合是造成对流发展的原因; 新回波常常在老回波右后侧生成, 并移向西南气流区, 从而得到充足的水汽, 这种回波发展旺盛, 持续时间长. β中尺度对流系统常常伴有尺度更小的中尺度涡旋和中尺度辐合等γ中尺度结构, 这些γ中尺度结构在强对流的发展过程中也起了很重要的作用.     

西南区域持续性干旱事件的行星尺度和天气尺度扰动信号

以2009-2010年发生在中国西南地区的持续性干旱事件为例,通过干旱和大气变量的物理分解得到了一些干旱事件发生的新认识.气象干旱多为年循环的气候干季与干旱扰动的叠加所致.一次干旱扰动大约为30-50天,而一次持续性干旱事件是由几次干旱扰动组成的.大气高度场和风场中存在三种时间尺度的扰动.一种是年际行星尺度的大气扰动,与ENSO冷暖事件有关,起源于赤道并传播到中高纬度地区需要2-4年.另一种是季节内行星尺度的大气扰动,与来自赤道地区的30-50天振荡有关.此外,大气中还存在天气尺度的扰动.利用行星尺度大气扰动向赤道外传播与天气尺度扰动的叠加,区域持续性干旱事件能够找到前期预报信号.     

2014年两次路径相似热带气旋降水特征及其成因的对比

利用NASA的MERRA再分析数据、台站降水资料、热带气旋最佳路径数据集和雷达资料初步对比探讨了2014年两次路径相似台风（"威马逊"和"海鸥"）的降水特征及其成因.结果表明，两者台站过程降水和最大日降水强度差异明显；在华南产生的过程降水和日降水均表现出明显的非对称性，最强均在海南岛；在海南岛产生的过程降水、日降水和最大小时降水最强均在海南岛西部和北部.与"海鸥"相比，在强降水时段，"威马逊"产生更大台站日降水的原因之一是其自身更强的强度和偏慢的移动速度，而且还与高层更强的南亚高压主体、中层偏弱偏东的副热带高压和低层强的低空急流密切相关.在强降水阶段，两者所处的环境风垂直切变均指向西南偏西-西南偏南方向，而强的对流均主要在环境风垂直切变的左侧或前侧.两者强降水主要在海南岛西部和北部的关键原因是五指山山脉和台风路径的相对位置配置类似，强降水区恰好处于向岸风面或五指山的迎风面.     

An application of the LTP＿DSEF model to heavy precipitation forecasts of landfalling tropical cyclones over China in 2018

Recently, a track-similarity-based Dynamical-Statistical Ensemble Forecast(LTP_DSEF) model has been developed in an attempt to predict heavy rainfall from Landfalling Tropical cyclones(LTCs). In this study, the LTP_DSEF model is applied to predicting heavy precipitation associated with 10 LTCs occurring over China in 2018. The best forecast scheme of the model with optimized parameters is obtained after testing 3452 different schemes for the 10 LTCs. Then, its performance is compared to that of three operational dynamical models. Results show that the LTP_DSEF model has advantages over the three dynamical models in predicting heavy precipitation accumulated after landfall, especially for rainfall amounts greater than 250 mm. The model also provides superior or slightly inferior heavy rainfall forecast performance for individual LTCs compared to the three dynamical models. In particular, the LTP_DSEF model can predict heavy rainfall with valuable threat scores associated with certain LTCs, which is not possible with the three dynamical models. Moreover, the model can reasonably capture the distribution of heavier accumulated rainfall, albeit with widespread coverage compared to observations. The preliminary results suggest that the LTP_DSEF model can provide useful forecast guidance for heavy accumulated rainfall of LTCs despite its limited variables included in the model.     

Form–flow interactions of an aeolian saucer blowout

Airflow patterns through a saucer blowout are examined from wind speed and direction measurements made during a chinook wind event. The blowout long‐axis is oriented east–west with a broad depositional apron on the east side. Wind directions during the event rotated from south‐westerly to westerly, permitting an assessment of oblique and axis‐parallel flows. Results show that airflow passing over the windward rim of the saucer blowout expands and decelerates, leading to flow separation and a small re‐circulation zone on sheltered lee slopes. Near the deflation basin, airflow re‐attaches to the blowout surface and accelerates up to a small opening in the east rim, where it can be up to 50% faster than on the windward edge. Beyond the downwind rim the airflow expands and decelerates and sand is deposited onto a broad apron. Similar to coastal trough blowouts, the degree of airflow steering and acceleration along the deflation basin is determined by the angle of incidence between the approach wind and the long‐axis of the blowout. As the angle of incidence increases wind speed accelerates at 0·3 m above the surface of the deflation basin and the degree of airflow steering increases. Overall, a two‐fold process is identified, where south‐westerly flows have greater potential for eroding the deflation basin, while westerly flows have greater potential for evacuating sand from within the blowout. Visual observations indicate that sand eroded from the deflation basin during south‐westerly flows is re‐distributed to adjacent zones of low wind speed until axis‐parallel winds evacuate the sand through the opening in the east rim. Morphometric changes since 1994 indicate that the blowout morphology has remained relatively constant, suggesting a persistent interplay between oblique and axis‐parallel wind erosion events. Collectively, these findings indicate that the angle of approach winds is an important control on saucer blowout morphodynamics. Copyright © 2009 John Wiley & Sons, Ltd.     

Coupled rainfall and water vapour stable isotope time series reveal tropical atmospheric processes on multiple timescales

High-frequency stable isotope data are useful for validating atmospheric moisture circulation models and provide improved understanding of the mechanisms controlling isotopic compositions in tropical rainfall. Here, we present a near-continuous 6-month record of O- and H-isotope compositions in both water vapour and daily rainfall from Northeast Australia measured by laser spectroscopy. The data set spans both wet and dry seasons to help address a significant data and knowledge gap in the southern hemisphere tropics. We interpret the isotopic records for water vapour and rainfall in the context of contemporaneous meteorological observations. Surface air moisture provided near-continuous tracking of the links between isotopic variations and meteorological events on local to regional spatial scales. Power spectrum analysis of the isotopic variation showed a range of significant periodicities, from hourly to monthly scales, and cross-wavelet analysis identified significant regions of common power for hourly averaged water vapour isotopic composition and relative humidity, wind direction, and solar radiation. Relative humidity had the greatest subdiurnal influence on isotopic composition. On longer timescales (weeks to months), isotope variability was strongly correlated with both wind direction and relative humidity. The high-frequency records showed diurnal isotopic variations in O- and H-isotope compositions due to local dew formation and, for deuterium excess, as a result of evapotranspiration. Several significant negative isotope anomalies on a daily scale were associated with the activity of regional mesoscale convective systems and the occurrence of two tropical cyclones. Calculated air parcel back trajectories identified the predominant moisture transport paths from the Southwest Pacific Ocean, whereas moisture transport from northerly directions occurred mainly during the wet season monsoonal airflow. Water vapour isotope compositions reflected the same meteorological events as recorded in rainfall isotopes but provided much more detailed and continuous information on atmospheric moisture cycling than the intermittent isotopic record provided by rainfall. Improved global coverage of stable isotope data for atmospheric water vapour is likely to improve simulations of future changes to climate drivers of the hydrological cycle.     

A Study on the Impact of Observation Assimilation on the Numerical Simulation of Tropical Cyclones JAL and THANE Using 3DVAR

In this work, the impact of assimilation of conventional and satellite remote sensing observations (Oceansat-2 winds, MODIS temperature/humidity profiles) is studied on the simulation of two tropical cyclones in the Bay of Bengal region of the Indian Ocean using a three-dimensional variational data assimilation (3DVAR) technique. The Weather Research and Forecasting (WRF)-Advanced Research WRF (ARW) mesoscale model is used to simulate the severe cyclone JAL: 5–8 November 2010 and the very severe cyclone THANE: 27–30 December 2011 with a double nested domain configuration and with a horizontal resolution of 27 × 9 km. Five numerical experiments are conducted for each cyclone. In the control run (CTL) the National Centers for Environmental Prediction global forecast system analysis and forecasts available at 50 km resolution were used for the initial and boundary conditions. In the second (VARAWS), third (VARSCAT), fourth (VARMODIS) and fifth (VARALL) experiments, the conventional surface observations, Oceansat-2 ocean surface wind vectors, temperature and humidity profiles of MODIS, and all observations were respectively used for assimilation. Results indicate meager impact with surface observations, and relatively higher impact with scatterometer wind data in the case of the JAL cyclone, and with MODIS temperature and humidity profiles in the case of THANE for the simulation of intensity and track parameters. These relative impacts are related to the area coverage of scatterometer winds and MODIS profiles in the respective storms, and are confirmed by the overall better results obtained with assimilation of all observations in both the cases. The improvements in track prediction are mainly contributed by the assimilation of scatterometer wind vector data, which reduced errors in the initial position and size of the cyclone vortices. The errors are reduced by 25, 21, 38 % in vector track position, and by 57, 36, 39 % in intensity, at 24, 48, 72 h predictions, respectively, for the two cases using assimilation of all observations. Simulated rainfall estimates indicate that while the assimilation of scatterometer wind data improves the location of the rainfall, the assimilation of MODIS profiles produces a realistic pattern and amount of rainfall, close to the observational estimates.     

一种新的综合物理指数构建及其在强降水预报中的应用

强降水是洪灾及相关衍生灾害的最主要原因之一,而过去单靠某一种变量诊断预报强降水,具有较大难度.本文在已有研究的基础上,根据强降水发生发展的物理机制,将引起降水的热力、动力和水汽条件综合考虑,尝试性地构建了一个新的综合指数THP(Temperature,Helicity and Precipitable water).然后针对两次强降水过程,利用NCEP/NCAR 1°×1°的再分析资料和地面常规观测资料,对THP指数进行了诊断分析,并选用2012年7月1日—8月15日的降水实况,对该指数进行了普适性检验.结果表明:(1)THP指数的变化可以有效表征强降水过程的发展和移动.对于降水落区的预报,THP指数的大值区与未来6h的降水中心基本对应;对于降水发生时刻的预报,THP指数的位相变化超前于地面降水的变化,具有较好的指示性;(2)对于高空槽前型降水,THP指数对降水强度也有一定的诊断意义,且普适性检验表明,该指数在我国中东部地区的盛夏期间具有良好的适用性;(3)基于配料法的思想,THP指数将有利于强降水出现的、具有清晰物理意义的信号进行了集成,相比于表征单一物理量的指数,其稳定性得到了增强.     

有限水域近水面气流演化特征试验研究

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