双偏振雷达对一次水凝物相态演变过程的分析

联合利用3 GHz双偏振雷达RHI探测数据和温度廓线数据, 建立了云粒子相态反演的模糊逻辑算法, 算法采用Beta型成员函数, 成员变量包括:水平反射率因子、线性退偏比、差分反射率及温度0℃,-40℃对应高度, 反演出的相态包括毛毛雨、雨、低密度干冰晶、高密度干冰晶、湿冰晶、干霰、湿霰、小冰雹、大冰雹、雨夹雪和液态云滴等11种, 并利用雷达的连续探测数据对一次层状云降水过程中水凝物相态的演变情况进行了分析, 得到如下结果:初始阶段层状云相态呈现分层结构, 从上至下依次为高密度干冰晶、湿冰晶和液态云滴; 初始阶段云体中的回波大值区核心区域为大的冰相粒子, 其余部分为液态粒子; 在初始到成熟阶段演变中, 回波大值区上部液态粒子逐步向冰相转化; 消散阶段云中零度层亮带逐步消失, 零度层以上云粒子结构呈现高密度干冰晶包裹湿冰晶的情况。关键词:双偏振雷达; 模糊逻辑; 水凝物相态反演; 层状云降水过程; 水凝物相态演变     

RADIATIVE AND MICROPHYSICAL EFFECTS OF ICE CLOUDS ON A TORRENTIAL RAINFALL EVENT OVER HUNAN, CHINA

The radiative and microphysical effects of ice clouds on a torrential rainfall event over Hunan,China in June 2004 are investigated by analyzing the sensitivity of cloud-resolving model simulations.The model is initialized by zonally-uniform vertical velocity,zonal wind,horizontal temperature and vapor advection from National Centers for Environmental Prediction(NCEP) /National Center for Atmospheric Research(NCAR) reanalysis data.The exclusion of radiative effects of ice clouds increases model domain mean surface rain rates through the increase in the mean net condensation associated with the increase in the mean radiative cooling during the onset phase and the increases in the mean net condensation and the mean hydrometeor loss during the mature phase.The decrease in the mean rain rate corresponds to the decreased mean net condensation and associated mean latent heat release as the enhanced mean radiative cooling by the removal of radiative effects of ice clouds cools the mean local atmosphere during the decay phase.The removal of microphysical effects of ice clouds decreases the mean rain rates through the decrease in the mean net condensation during the onset phase,while the evolution of mean net condensation and the mean hydrometeor changes from decrease to increase during the mature phase.The reduction in the mean rain rate is primarily associated with the mean hydrometeor change in the absence of microphysical effects of ice clouds during the decay phase.     

风云三号 (02) 批卫星微波氧气吸收通道降水特性

我国新一代极轨业务气象卫星风云三号 (02) 批计划2012年发射。该文利用UWNMS模拟2005年Katrina飓风的结果作为基础数据集,借助VDISORT微波辐射传输模式对风云三号 (02) 批计划装载的微波探测仪器中50~60 GHz和新增的118.75 GHz频点的降水特性进行初步研究。首先通过晴空权重函数匹配,选择出50~60 GHz与118.75 GHz频点匹配关系较好的4对通道。敏感性分析表明:各通道对各种水凝物粒子均很敏感,可用于改进现有业务降水反演算法。分别选取50~60 GHz 4个通道、118.75 GHz 4个通道、50~60 GHz及118.75 GHz全部通道3种不同的通道组合进行反演试验。结果表明:将50~60 GHz及118.75 GHz通道联合起来进行降水反演可提高降水反演的精度,并可以更好地区分降水区与非降水区。     

青藏高原那曲夏季云中水成物分布特征的毫米波雷达观测

结合2014年7—8月第三次青藏高原大气科学试验获得的毫米波雷达资料与探空温度资料,利用模糊逻辑法反演了西藏那曲地区夏季云中水成物的相态并对其分布特征开展了研究。首先,分析了层积云、雨层云以及深对流云的典型个例,发现三类云反射率因子、多普勒速度、速度谱宽以及退偏振因子垂直分布均有较大差别,相应的云中水凝物的回波特征与相态分布差别也较大。其次,研究了液相、混合相和冰相云层的云雷达探测特征,发现液相云层在0℃层以下的暖云层和0℃层以上的过冷水云层均具有反射率因子高值中心,混合云层的反射率因子高值中心随高度上升变化不大,冰云层的反射率因子高值主要集中在6 km以上,且随高度上升而趋于集中;三种相态云层出现频率高值分别集中在地面以上1、2～3、3～4 km高度层;液相云层在上午出现频率最高,混合相云层高频率发生在下午,冰相云层在晚上的出现频率最高。三种相态云层出现在上午的高度与下午和晚上相比较低,出现在晚上的高度范围最大;液相云层厚度一般小于0.3 km,冰相云层云顶位于9 km左右高度层时平均厚度最大,中云内的混合相和冰相厚度变化较小。     

冰雹云降水过程中微波亮温的变化特征

通过冰雹云模式模拟的一次冰雹云降水过程中降水粒子廓线和微波辐射传输模式结合,分析了冰雹云发展的不同阶段的微物理含量垂直结构变化及其对微波亮温的影响,得到以下几点结论:1)如果微波通道受到降水粒子散射和辐射的共同作用,如降水云早期的85 GHz亮温,成熟期的19 GHz亮温及消散期的37 GHz亮温,由于辐射和散射信息互相抵消,致使亮温随雨强的变化较复杂,这些通道亮温和雨强的相关性明显降低,不宜被用来反演地面雨强。2)根据19 GHz亮温随地面雨强或冰相粒子柱含量的改变,可以大致确定降雨云的不同阶段:在发展阶段,主要是降雨层以上的冰相粒子,尤其霰粒影响19 GHz亮温,致使其亮温与冰相粒子柱含量具有较好的负相关,而与地面雨强相关性较差;在成熟阶段,主要受雨水上层逐渐增加的辐射和冰相粒子散射共同作用,使得19GHz亮温与地面雨强和冰相粒子柱含量的相关性都不太好;在消散阶段,19 GHz亮温主要受较强的雨水辐射影响,与地面雨强和冰相粒子柱含量均有着较高的正相关。3)37 GHz是相对比较稳定的通道,其亮温与地面雨强有较好的线性关系,尤其与冰相粒子柱含量相关性更好,因此是反演地面雨强和冰相粒子柱含量的最佳通道。85 GHz亮温对降雨云体的中高层结构较为敏感,使得其亮温随地面雨强增加而降低的变化比较离散,不如37 GHz的集中。     

X 波段双极化雷达对云中水凝物粒子的相态识别

人工影响天气研究需对云中降水粒子的相态和分布结构进行准确识别,以便提高人工影响天气作业效率.中国科学院大气物理研究所的车载X波段双极化雷达可提供与云中降水粒子大小、形状、相态等特征密切相关的4个极化参数:反射率因子、差分反射率、差分相移率、水平和垂直极化相关系数.利用这4个极化参数加上环境温度作为5个输入参量,建立了降水粒子相态模糊逻辑识别算法,识别的降水粒子有10种:毛毛雨、雨、湿霰、干霰、小雹、大雹、雨加雹、湿雪、干雪、冰晶.利用此雷达的实际观测资料,并与地面和飞机空中实测资料对照,对我国南、北方地区观测的降水天气过程进行分析,结果表明:建立的模糊逻辑算法对云内水凝物粒子的相态识别分类合理.     

利用TRMM卫星资料对人工增雨云系模式云微观场预报能力的检验

文中利用TRMM卫星测雨雷达探测反演的云水、雨水、云冰和降冰4种云参数产品及实况降水资料,对比检验该人工增雨云系业务模式对云微观场和地面降水场的预报能力.结果表明,人工增雨云系模式系统对降水的预报能力要略优于现行业务运行的GRAPES模式;人工增雨云系模式系统能较好地预报云系系统云物理微观量的垂直结构特征,模式预报的微观场与卫星监测吻合较好;在播撒窗区的水平分布上,模式预报的各水凝物分布形势和强中心位置与卫星监测一致,其大小也接近监测值;人工增雨云系模式能较好地预报云的微观场和天气形势场,可作为云系人工增雨条件决策的重要参考依据.     

亚洲夏季风各子系统主要变率相互关系初析

使用NCEP/NCAR再分析资料和CMAP月平均降水资料分析了亚洲夏季风各个子系统的相互关系。结果表明亚洲夏季风子系统之间存在显著相关。从同期强度变化可知,当东亚季风偏强时,大尺度亚洲季风、东南亚季风、南亚季风均偏弱,相关区域降水偏少;而同时大尺度亚洲季风偏强时,东南亚和南亚季风偏强,相关区域降水偏多;东南亚季风偏强时,南亚季风偏弱,南亚地区降水偏少;反之亦然。从不同周期强度变化可知各个子系统相关仍然显著。      

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。     

南海地区大气30～60天低频振荡及其对南海夏季风的可能影响

本文利用1979～2008 年美国国家环境预报中心(NCEP)和美国国家大气研究中心(NCAR)第二套再分析资料、美国国家海洋和大气管理局(NOAA)的向外长波辐射(OLR)资料及1979～2007年全球降水资料(CMAP), 分析了南海地区热带大气的低频振荡及其对南海夏季风的可能影响。结果表明, 夏半年南海地区存在显著的30～60天的周期振荡。当30～60天低频振荡处于活跃位相时, 南海及其周围地区的低层大气为低频西南风, 南海和菲律宾北部为低频气旋流场且为正的位涡度, 对应着增强的南海夏季风槽和南海夏季风; 当 30～60天低频振荡处于不活跃位相时, 情形正好相反。进一步的研究揭示出, 夏半年30～60天低频振荡变化的空间型与夏半年平均场的年际变化的空间分布非常相似, 并且南海及其附近地区的 30～60天低频振荡活动的年际变化对夏半年平均场的年际变化有显著的贡献。强、弱南海夏季风年30～60天低频振荡活动的比较也说明, 强的南海夏季风年30～60天低频振荡活跃状态发生的概率大于不活跃状态发生的概率, 而弱的南海夏季风年则是不活跃状态发生的概率大于活跃状态发生的概率。因此, 南海地区30～60天低频振荡对南海夏季风很可能有重要影响, 当30～60天低频振荡的活跃状态处于主导时, 南海夏季风往往会偏强; 反之, 如果不活跃状态处于主导时, 南海夏季风往往会偏弱。     

Resolving SSM/I-ship radar rainfall discrepancies from AIP-3

The third algorithm intercomparison project （AIP-3） involved rain estimates from more than 50 satellite rainfall algorithms and ground radar measurements within the Intensive Flux Array （IFA） over the equatorial western Pacific warm pool region during the Tropical Ocean Global Atmosphere coupled Ocean-Atmosphere Response Experiment （TOGA COARE）. Early results indicated that there was a sys- tematic bias between rainrates from satellite passive microwave and ground radar measurements. The mean rainrate from radar measurements is about 50% underestimated compared to that from passive microwave-based retrieval algorithms. This paper is designed to analyze rain patterns from the Florida State University rain retrieval algorithm and radar measurements to understand physically the rain discrep- ancies. Results show that there is a clear range-dependent bias associated with the radar measurements. However, this range-dependent systematical bias is almost eliminated with the corrected radar rainrates. Results suggest that the effects from radar attenuation correction, calibration and beam filling are the major sources of rain discrepancies. This study demonstrates that rain retrievals based on satellite mea- surements from passive microwave radiometers such as the Special Sensor of Microwave Imager （SSM/I） are reliable, while rain estimates from ground radar measurements are correctable.     

Physical retrievals of over-ocean rain rate from multichannel microwave imagery. Part II: Algorithm implementation

Summary A new physical inversion-based algorithm for retrieving rain rate over the ocean with the Special Sensor Microwave Imager (SSM/I) is described. In a departure from other rain rate retrieval algorithms, the satellite observables inverted in the present algorithm are not the raw brightness temperatures but rather normalized polarizations for 19.35, 37.0, and 85.5 GHz, plus an 85.5 GHz scattering index which is sensitive primarily to ice particles aloft. The normalized polarizations are interpreted as footprint-averages of theoretically derived analytic functions of the column optical depth associated primarily with liquid water. The effective vertical depth of the rain layer is specified as a function of the SSM/I estimated column water vapor.The retrieval algorithm performs an iterative search for a high resolution (12.5 km) rain field which is simultaneously consistent with the 19.35 and 37.0 GHz normalized polarizations. The first-guess rain rate field is supplied by the 85.5 GHz scattering index. At gridpoints for which the rain column optical depth exceeds the dynamic range of the attenuation-based indices, the first-guess field is left essentially unmodified; elsewhere, the required consistency with the 19 and 37 GHz indices usually results in significant modification of the scattering-based rain rate estimates.The algorithm as described here is a prototype implementation which was developed with reference only to idealized theoretical models; empirical improvements to the numerical scheme and the model coefficients will be made in the future as results from the first Precipitation [algorithm] Intercomparison Project 1 (PIP-1) and the second phase of the GPCP (Global Precipitation Climatology Project) algorithm Intercomparison Project (AIP/2) are analyzed, as well as data from individual validation efforts. Although the algorithm is physically based and uses all SSM/I channels, it is computationally much less demanding than cloud/radiative transfer model-based inversion algorithms published else-where.With 9 Figures     

太赫兹频段雷达探测的冰云微物理参数反演算法模拟研究

在假设冰云粒子呈球形以及粒子谱服从对数正态分布的条件下,利用离散偶极子近似法(DDA),计算出太赫兹频段(220 GHz)冰云粒子的雷达反射率因子,及其与瑞利假设下雷达反射率因子的比值。忽略衰减和多次散射的影响,根据太赫兹波段冰云的雷达反射率因子,基于最优估计理论反演冰云的微物理参数,并验证该算法的可靠性。反演结果表明,当冰云粒子大小在设定的尺度范围内时,有效粒子半径(r_e)的反演误差小于4%,粒子谱宽(σ)的误差小于2.5%、粒子数密度(N_T)的误差小于1%,冰水含量(IWC)的误差小于5%。还分析了当N_T和σ为定值时,反演结果随粒子尺寸的变化情况,当冰云粒子尺寸在模拟计算设定的范围内时,r_e的反演误差小于0.04%,σ的反演误差小于0.02%,N_T的反演误差小于0.50%,IWC的反演误差小于0.08%,如果冰云粒子大小超出模拟计算设置的范围,反演误差随着r_e增加而增大。该结果证明了基于最优估计理论反演得到的冰云微物理参数与模拟设定值有良好的一致性,说明该方法可应用于太赫兹频段云雷达的冰云观测及云微物理参数的反演和研究。      

BCC-CSM2-MR模式对北极海冰和气候的模拟及预估

基于第六次耦合模式比较计划(CMIP6),使用新一代全球模式BCC-CSM2-MR的历史试验和未来共享社会经济路径(SSPs)数据,依据Hadley中心的海表面温度和海冰密集度数据及NCEP/NCAR I再分析资料,评估了BCC-CSM2-MR模式对北极海冰及北极气候的模拟能力,并对未来变化进行了预估.结果表明:BCC...     

冬季北极海冰运动主模态的构成及其与海平面气压变化的关系

利用国际北极浮冰运动观测资料（IABP）（1979-1998）以及NCEP／NCAR月平均海平面气压再分析资料（1960-2002）,通过求解海冰运动异常的复斜方差矩阵,研究了冬季北极海冰运动主模态构成及其与海平面气压变化的关系。冬季海冰运动主模态是由两个海冰运动优势模态的一个线性组合构成,与这两个运动优势模态有直接关系的海平面气压变化主要发生在北极海盆及其边缘海区。尽管北极涛动（北大西洋涛动）通过影响海平面气压进而影响北极海冰运动,但是,北极涛动（北大西洋涛动）并不是决定海冰运动主模态的关键性因素。     

降水云含有水膜冰球时的微波辐亮温

利用Eddington近似解析算法和一含有冰水相态混合层的降水云模型,改变滴谱,并／或使云中冰球带上水膜,可以改变云内一些高度上的辐射通量,而对降水云在云顶和地面两处的射出辐亮温的影响,则与雨强和微波频率以及水膜冰球谱和水膜厚度有关。云中相态混合层内水成物相态和滴谱对6．6、10．7和18GHz辐射传输和射出辐亮温有较大的影响,对更高的频率（37．0、85．6和183GHz）影响较小。     

气候平均状况下亚洲夏季风的季节内演变过程

根据1979—1995年美国NOAA的向外长波辐射逐日资料,用功率谱分析和带通滤波方法,对气候平均状况下亚洲夏季风的季节内演变过程进行分析,归纳得到亚洲季风区各个子系统季节内变化的8个关键阶段。利用1979—1999年NCEP/NCAR的大气环流再分析资料及中国气象局降水资料CMAP,对每个关键阶段亚洲夏季风的环流和降水的时空演变特征进行分析,得到亚洲季风区环流和降水季节内变化的物理图像。研究表明,在不同的季节内演变阶段,亚洲夏季风各个子系统成员的环流系统的变化特征可以将亚洲夏季风系统的季节内演变过程较好地描述出来。     

The formation and maintenance of the North Water Polynya

Abstract

This paper investigates the formation and maintenance of the North Water Polynya, Baffin Bay in winter using a multi‐category sea‐ice model coupled with the Princeton ocean model. Monthly climatological atmospheric data from the National Centers for Environmental Prediction/National Center for Atmospheric Research (NCEP/NCAR) reanalysis provides the forcing. An objectively‐analysed climatology provides the initial ocean temperature and salinity. Wind stress drives the ice in a cyclonic gyre around northern Baffin Bay. Localized regions of thin ice form where wind drives ice away from coastlines or fast ice. The regions of thin ice are characterized by enhanced ice growth, exceeding 1.2 m mo^?1. In the regions of thin ice, surface ocean heat flux is also enhanced and is between 30–60 W m^?2. Surface heat flux is, in part, attributable to convective mixing and entrainment driven by ice growth. The surface heat flux reflects advection of the warm West Greenland Current. Heat and salt balances show that horizontal advective exchange counterbalances surface fluxes of heat and salt.     

High resolution simulations of January and July climate over the western Alpine region with a nested Regional Modeling system

Summary High resolution January and July present day climatologies over the central-western Alpine region are simulated with a Regional Climate Model (RegCM) nested within a General Circulation Model (GCM). The RegCM was developed at the National Center for Atmospheric Research (NCAR) and is run at 20 km grid point spacing. The model is driven by output from a present day climate simulation performed with the GCM ECHAM3 of the Max Planck Institute for Meteorology (MPI) at T106 resolution (~ 120 km). Five January and July simulations are conducted with the nested RegCM and the results for surface air temperature and precipitation are compared with a gridded observed dataset and a dataset from 99 observing stations throughout the Swiss territory. The driving ECHAM3 simulation reproduces well the position of the northeastern Atlantic jet, but underestimates the jet intensity over the Mediterranean. Precipitation over the Alpine region in the ECHAM3 simulation is close to observed in January but lower than observed in July. Compared to the driving GCM, the nested RegCM produces more precipitation in both seasons, mostly as a result of the stronger model orographic forcing. Average RegCM temperature over the Swiss region is 2–3 degrees higher than observed, while average precipitation is within 30% of observed values. The spatial distribution of precipitation is in general agreement with available gridded observations and the model reproduces the observed elevation dependency of precipitation in the summer. In the winter the simulated elevation of maximum precipitation amounts is lower than observed. Precipitation frequencies are overestimated, while precipitation intensities show a reasonable agreement with observations, especially in the winter. Sensitivity experiments with different cumulus parameterizations, soil moisture initialization and model topography are discussed. Overall, the model performance at the high resolution used here did not deteriorate compared to previous lower resolution experiments.The National Center for Atmospheric Research is sponsored by the National Science Foundation.With 11 Figures     

Potential effect of nuclear war smokefall on sea ice

A large nuclear war could produce massive quantities of smoke from burning cities and industries. A portion of this smoke would fall out on Arctic sea ice, thus lowering its albedo and potentially increasing the solar energy absorbed by the ice and the snow that covers it. We use a one-dimensional thermodynamic sea ice model to examine the effect of smokefall on the seasonal variation of sea ice. In particular, we test the sensitivity of the model results to the time of year, duration, and latitude of smokefall.Sea ice thickness variations and the period of summer ice-free conditions are sensitive to the season of smokefall. The largest sea ice perturbations are generated by smokefall in spring. In this case the period of ice-free conditions during the summer can increase by 2 – 3.5 months between 67.5° N and 82.5° N. In any given season, the annual cycle of sea ice is not very sensitive to the duration of smokefall. The equilibrium annual cycle of sea ice variation is restored within a few years of smokefall when the smoke is flushed out of the ice/snow system.Since the sea ice model used here is not a comprehensive global climate model, it is difficult to predict the mid-latitude climate effects of the massive, but temporary, Arctic sea ice changes. However, our results suggest that future global climate model simulations of the effects of nuclear war smoke include interactive sea ice calculations.The National Center for Atmospheric Research is sponsored by the National Science Foundation.