一个区域海-气耦合模式的建立:模式验证及其对热带气旋“云娜”的模拟

本文以区域热带气旋模式(GRAPES-TCM)为基础,引入海洋环流模式(Estuarine,Coastal and Ocean Model(semi-implicit),ECOM-si)和Ocean Atmosphere Sea Ice Soil 3(OASIS3)耦合器,建立了一个区域海-气耦合模式。利用该模式对0414号热带气旋"云娜"进行了数值模拟,验证了模式的性能。结果表明,耦合模式模拟的"云娜"强度相比单独的大气模式更接近观测,单独大气模式模拟的近地面风场偏强,而耦合模式模拟的近地面风场的强度和非对称结构均与观测更为接近。数值实验中,"云娜"热带气旋过境引起的海表面温度的下降与实况接近,海表面温度下降引起的海-气热通量相比控制实验的结果明显下降,分析资料表明这一下降是合理的。海洋模式的引入导致了热带气旋"云娜"结构的变化,这种变化不但反应在径向风的减弱(强度下降),还反应在对流强度和最强对流发生位置的变化,并最终引起了热带气旋降水结构的改变。     

论IPCC-AR4模式对影响西北太平洋热带气旋的大气动力环境场的气候特征模拟性能

评估了23个IPCC-AR4模式在低纬地区1948—1999年7—9月大尺度环流场的模拟性能,重点关注西北太平洋区域的西太副高、季风槽以及台风活动海域的垂直风切变。结果显示,绝大多数模式的7—9月低纬地区500hPa平均高度场、850hPa风场空间分布与NCEP都具有很高的相似性,但大多模式500hPa高度场存在系统性偏低,而850hPa风场偏强。所有模式模拟的西北太平洋副高脊线与NCEP都有一致的西南-东北走向,但有些模式的脊线位置偏离NCEP的较远。有4个模式没有模拟出类似于NCEP的季风槽线。综合模式对夏季热带环流场、西北太平洋副热带高压、季风槽以及西北太平洋热带气旋活动关键区域垂直风切变气候特征的模拟性能,按性能优劣,排在前10的模式依次是mpi_echam5、cccma_t63、gfdl_cm2_1、cnrm_cm3、cccma_t47、ukmo_hadgem1、ingv_echam4、ncar_ccsm3_0、csiro_mk3_5、mri_cgcm2_3_2a;排在后6位的模式是inmcm3_0、iap_fgoals1_0_g、ipsl_cm4、miroc3_2_medres、giss_eh、giss_er。     

利用TMI反演的水汽凝结物对热带气旋潜热结构分布的探索研究

本文利用热带测雨卫星TRMM（Tropical Rainfall Measuring Mission）微波成像仪TMI（TRMM Microwave Imager）2A12 水汽凝结物（Hydrometeor）反演资料,对西北太平洋地区从1998～2009 年的236 个热带气旋个例的1776 个“快照”（snapshot）的水汽凝结物的结构特征进行了分析,并探讨了水汽凝结物的时空变化与热带气旋强度演变联系。研究结果表明:（1）TMI 2A12 水汽凝结物资料显示出了热带气旋内部的细致结构及变化特征,水汽凝结物的峰值集中于数十公里到一百多公里的热带气旋眼壁及云墙区;在热带气旋发展过程中,随着热带气旋强度的增强,水汽凝结物增多且往其中心靠拢,从发展阶段到成熟阶段,水汽凝结物的大值中心基本上集中在距离热带气旋中心约50 km 区域,而且强度越强的热带气旋,水汽凝结物的大值中心与热带气旋中心的距离越近;在热带气旋消亡的过程中,水汽凝结物不断减弱且往外围扩散,逐渐扩展到远离中心的区域;（2）热带气旋强度与水汽凝结物的分布关系密切,热带气旋强度变化与热带气旋中心附近200 km 范围内的水汽凝结物含量存在显著的正相关,而200 km 以外的外围水汽凝结物含量存在负相关;（3）热带气旋强度变化与水汽凝结物的变化存在时间差,水汽凝结物的变化超前于热带气旋强度的变化,在热带气旋迅速发展之前数小时,热带气旋中心0～50 km 环状区域的水汽凝结物含量就已经提前增加了,在热带气旋减弱前数小时到十数小时,即使热带气旋还处于它强度的鼎盛时期,其中心0～50 km 环状区域的水汽凝结物含量就已经提前显著减少了,这种水汽凝结物的变化超前于热带气旋强度的变化的现象,可能是热带气旋强度预报的潜在线索。     

A GCM-Based Forecasting Model for the Landfall of Tropical Cyclones in China

A statistical dynamic model for forecasting Chinese landfall of tropical cyclones (CLTCs) was developed based on the empirical relationship between the observed CLTC variability and the hindcast atmospheric circulations from the Pusan National University coupled general circulation model (PNU-CGCM).In the last 31 years,CLTCs have shown strong year-to-year variability,with a maximum frequency in 1994 and a minimum frequency in 1987.Such features were well forecasted by the model.A cross-validation test showed that the correlation between the observed index and the forecasted CLTC index was high,with a coefficient of 0.71.The relative error percentage (16.3%) and root-mean-square error (1.07) were low.Therefore the coupled model performs well in terms of forecasting CLTCs;the model has potential for dynamic forecasting of landfall of tropical cyclones.     

2010年4月27日莱州湾大风过程诊断分析

利用NCEP资料对2010年4月27日莱州湾大风过程进行了诊断分析。结果表明,气旋的爆发性发展导致气旋冷锋后部的锋生加强引发的变压梯度加大是造成此次莱州湾地区大风过程的直接原因。通过大尺度环境场分析,以及温度平流、涡度平流、高空急流、高层位涡异常的诊断分析,认为强的大气斜压性和其所伴随的冷、暖平流使高空槽发展;高低层涡度平流差异是地面气旋发展初期的主要因子;高空槽前急流轴向极一侧的非地转分量所引起的辐散有助于气旋发展;高层高值位涡下传激发了气旋性环流,造成地面气旋爆发性发展。     

多时间尺度环流对热带气旋海棠(0505)路径的影响

利用滤波方法将NCEP/NCAR提供的FNL风场资料分离出天气尺度和低频环流场,研究不同时间尺度环流对台风海棠（0505）路径的影响。热带气旋海棠路径的特征可以分两个主要阶段,在第一阶段,海棠西侧的天气尺度反气旋和低频流场副高南侧气流共同引导海棠向西南运动;第二阶段初期,天气尺度环流抑制海棠向北转向,但海棠西侧的QBW气旋和MJO尺度的气流共同引导海棠向北运动。海棠运动后期,海棠与低频气旋的相互作用导致了天气尺度流场中波列的产生和发展,形成了热带气旋的传播分量,令海棠产生了向东北转向的趋势,但是由于MJO环流场中副高的北抬和QBW气旋的引导,最终导致海棠向西运动。     

A 38-Year Climatology of Explosive Cyclones over the Northern Hemisphere

Explosive cyclones(ECs)over two basins in the Northern Hemisphere(20°-90°N)from January 1979 to December2016 are investigated using ERA-Interim and Optimum Interpolation Sea Surface Temperature(OISST)data.The classical definition of an EC is modified considering not only the rapid drop of the central sea level pressure of the cyclone,but also the strong wind speed at the height of 10 m in which maximum wind speeds greater than 17.2 m s^-1are included.According to the locations of the northern Atlantic and northern Pacific,the whole Northern Hemisphere is divided into the"A region"(20°-90°N,90°W-90°E)and"P region"(20°-90°N,90°E-90°W).Over both the A and P regions,the climatological features of ECs,such as their spatial distribution,intensity,seasonal variation,interannual variation,and moving tracks,are documented.     

Uncertainty in Tropical Cyclone Intensity Predictions due to Uncertainty in Initial Conditions

Focusing on the role of initial condition uncertainty,we use WRF initial perturbation ensemble forecasts to investigate the uncertainty in intensity forecasts of Tropical Cyclone(TC)Rammasun(1409),which is the strongest TC to have made landfall in China during the past 50 years.Forecast results indicate that initial condition uncertainty leads to TC forecast uncertainty,particularly for TC intensity.This uncertainty increases with forecast time,with a more rapid and significant increase after 24 h.The predicted TC develops slowly before 24 h,and at this stage the TC in the member forecasting the strongest final TC is not the strongest among all members.However,after 24 h,the TC in this member strengthens much more than that the TC in other members.The variations in convective instability,precipitation,surface upward heat flux,and surface upward water vapor flux show similar characteristics to the variation in TC intensity,and there is a strong correlation between TC intensity and both the surface upward heat flux and the surface upward water vapor flux.The initial condition differences that result in the maximum intensity difference are smaller than the errors in the analysis system.Differences in initial humidity,and to a lesser extent initial temperature differences,at the surface and at lower heights are the key factors leading to differences in the forecasted TC intensity.These differences in initial humidity and temperature relate to both the overall values and distribution of these parameters.     

Diurnal Sea surface temperature response to tropical cyclone Dahlia in the Eastern tropical Indian Ocean in 2017 revealed by the Bailong buoy

Tropical Cyclone (TC) Dahlia occurred adjacent to over the equatorial southeastern Indian Ocean during the period 26 November – 3 December 2017 and was observed by the Bailong buoy, which provides in situ observations of high-frequency variations in the upper ocean environment. The diurnal sea surface temperature (dSST) variabilities during different stages of the passage of TC Dahlia are studied. The dSST variability is rather weak during the TC passing stage in contrast to the strong ranges before (0.35 °C) and after (0.57 °C) the TC. Before the influence of TC Dahlia, the dSST presented significant regular variability with a peak in the afternoon and minimum value in the morning, which is similar to the even larger range that occurred after TC Dahlia. During the passage of TC Dahlia, dSST decreased dramatically, and a uniform variation was presented due to the absence of strong heat fluxes and stirring and upwelling induced by strong winds. Further analysis through a one-dimensional mixed layer model (Price-Weller-Pinkel, PWP) indicated that the dominant elements responsible for the different dSST variations during distinct stages of TC Dahlia were shortwave radiation and surface wind, which strongly impacted the dSST evolution during TC Dahlia. The asymmetrical wind strength was responsible for the asymmetry of dSST variation.     

黑龙江省区域暴雪天气气旋特征分析

利用常规观测资料、NCEP再分析资料和风云2E卫星资料对2006年3月-2016年3月由温带气旋引发黑龙江省暴雪天气过程普查,共筛选出37次区域性暴雪天气过程,再运用统计和诊断分析得出以下结论:(1)近10 a黑龙江省区域性暴雪主要集中在东部山区东南部;区域暴雪主要出现在季节过渡期;黑龙江省区域性暴雪年际变化大;(2)蒙古气旋作为冬季黑龙江省降雪的主要影响系统,其出现的频率和时间跨度远超过其它影响系统,黑龙江省西北部只有在蒙古气旋影响下才可能产生暴雪天气。(3)单独北上温带气旋通常发生在季节转换期间,造成区域暴雪主要集中在黑龙江省东部;(4)北上温带气旋与蒙古气旋合并而形成的合并气旋都发生11-12月和3-4月季节转换期间,造成区域暴雪主要集中在黑龙江省东部。