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双语推荐:中国地面温度

利用耦合了CLM4(Community Land Model)的CAM5.1(Community Atmosphere Model)模式研究了中国东部地区城市范围扩展对东亚春季气候的可能影响.结果表明城市化改变了地面能量平衡,表现为地面净辐射通量和感热通量增加,地面潜热通量减小,造成近地面温度、日最高气温和最低气温升高,气温日较差增大,且近地面增温的幅度与城市比例密切相关,但对城市范围扩展的响应具有一定程度的不确定性.城市范围扩展所引起的近地面热力强迫可以影响到东亚地区低层大气环流,但由于近地面对不同程度城市范围扩展的热力响应具有非线性变化,导致东亚春季低空环流的变化也具有一定的不确定性,但其总体上会减弱长江中下游以南地区的西南气流.因此,中国东部地区的城市范围扩展会使得长江以北地区春季降水量偏少而长江以南地区降水量偏多,造成东亚春季雨带南移.
The Community Atmosphere Model (CAM5 .1 )coupled with the Community Land Model (CLM4 )is employed to investigate the possible impact of urbanization extension over eastern China on the spring climate in East Asia.Results show that the surface energy balance is altered due to urbanization,including enhanced surface net radiation and sensible heat fluxes,and reduced surface latent heat fluxes.As a result,a significant increase in near-surface air temperature is detected,together with higher daily maximum and minimum air temperature,leading to a greater daily temperature range.The amplitude of changes in near-surface air temperature is closely linked to the urban coverage,but this thermal response remains somewhat uncertain in different urbanization extension.Low-level circulation in East Asia is strongly affected by the urbanization-related surface thermal forcing,however there still exists uncertainty in changes of atmospheric circulation because of their nonlinear surface the

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采用格兰杰(Granger)因果检验法,从自然因素的角度,即从天文因子(太阳黑子数SSN)和地球运动因子(地极移动X方向和Y方向)的角度,对我国近百年地面温度(TC)的变化进行了归因分析。所得结果如下:滞后1~11年内,SSN都不是TC的Granger原因;对于TC和极移X方向,当滞后6年时信度最高,此时极移X方向是TC的Granger原因(87%信度)。研究结果可能暗示,极移X方向的变化可能会导致6年后中国地面气温的变化。
The attribution analysis of China surface temperature(TC) in the recent 100 years is done from the angle of the astronomical factor(sunspot number, SSN) and the earth movement factor(polar shift x direction and y direction ) by using Granger causality test. The results are as follows:(1) SSN is not the Granger cause of TC in all of 1 to 11 years lags;(2) when the lag is 6 years, conifdence is the highest, at this time polar shift x direction is the Granger cause of TC (87%conifdence);(3) when the lag is 12 years, TC is the Granger cause of the polar shift y direction, the conifdence is 86%. The research results of the paper suggest that the change of polar shift x direction possibly results in the change of TC, and the change of TC possibly inlfuences the change of the polar shift y direction.

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中国风云三号(FY-3)A星于2008年5月27日成功发射,其上装载的微波温度计(Microwave Temperature Sounder,MWTS)有4个通道,频率分别为50.3,53.596,54.94和57.29GHz,可提供地面至平流层下部的大气温度廓线信息。介绍了MWTS的仪器特征和定标方法,对FY-3A发射后MWTS的仪器性能相关参数的长序列特征进行了监测分析,这些参数主要包括灵敏度、冷空和内部暖黑体的计数值、仪器温度和通道增益。通过再分析资料和微波辐射传输模拟,比较了FY-3A卫星MWTS与NOAA-18卫星先进微波温度探测器(Advanced Microwave Sounder Unit-A, AMSU-A)的观测和模拟的亮温偏差。结果表明,MWTS所有通道的灵敏度值优于其指标;通道1和3的亮温偏差与AMSU-A接近;通道2和4的偏差比AMSU-A要大一些。
The Chinese FengYun-3 (FY-3)A satellite was successfully launched on May 27, 2008, with a Microwave Temperature Sounder (MWTS) onboard. MWTS has four channels with frequencies of 50.3, 53.596, 54.94, and 57.29 GHz, respectively. The MWTS measurements are primarily used for profiling atmospheric temperatures from surface to lower stratosphere. MWTS is a cross-track scanning instrument, and its Earth-view measurements are calibrated through the warm target and cold space measurements during every scan cycle. In this paper, the FY-3A MWTS and its channel characteristics are first introduced. The calibration process and the postlaunch instrument performance are then presented, including the long-term trends of noise equivalent differential temperature (NEDT), calibration counts from cold space and warm targets, instrument telemetry, and channel gains. The observed and simulated brightness temperature (BT) differences of MWTS and Advanced Microwave Sounding Unit-A (AMSU-A) are compared. It

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鉴于中国缺少高空间分辨率且时间跨度较长的格点气候数据集,基于国家气象局气象信息中心发布的中国753个台站地面气候月值数据集,使用国际常用的ANUSPLIN软件进行空间插值,建立了1951-2012年中国月值气温和降水量的空间超高分辨率(0.025?×0.025?,约2.8 km×2.8 km)格点数据集(简称LZU0025).该数据集与较高分辨率(0.5?×0.5?)的University of Delaware(UDEL), Climate Prediction Center(CPC)全球格点数据集在刻画中国温度和降水时空变化上具有一致性.所建立的格点数据集还可以更好地刻画中国复杂地形下的气温和降水量的时空特征,具有超高空间分辨率和较长时间序列的优点.依据本文建立的高分辨率格点数据集,发现1951-1980年间中国大陆气温最低且以波动为主,20世纪80年代开始气温快速升高,近10年来气温最高但增温趋缓.全国年平均降水量变化无明显趋势,但受西风环流控制的我国西北干旱区降水有增加趋势,而受东亚季风环流控制的华北地区降水有明显减少趋势.
In view of the small amount of datasets with low resolution and of short-term duration in China, the monthly air temperature and precipitation gridded datasets (LZU0025 in short) were constructed here based on the climatic monthly dataset from China Meteorological Administration using the software ANUSPLIN. This dataset covers the period from 1951 to 2012 with a horizontal resolution of 0.025? latitude by 0.025?latitude over China. And our test analysis was also compared with the results obtained by Climate Prediction Center (CPC) and University of Delaware (UDEL) dataset. The results suggested that air temperature and precipitation over China from LZU0025 dataset exhibited coherent variations compared to the UDEL and CPC, and it could well describe the spatial and temporal characteristics of temperature and precipitation under the complex topography. Additionally, our results that were based on LZU0025 showed that the temperature over China had been changing from low level in the earl

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为了进一步认识雷暴云中影响起电的主要水成物类型,联合714XDP天气雷达观测到的偏振参量(Z_H、Z_(DR)、K_(DP)和p_(HV)),在利用模糊逻辑方法的基础上引入温度(T),对中国西北地区夏季雷暴云中的水成物类型进行识别,将水成物分为11种。参考S和C波段及少量的X波段偏振雷达的粒子识别研究,得到11种粒子对应的各偏振参量阈值。分析了2007年7月24日的一次观测过程几个时刻的偏振参量、地面电场、放电频数及识别结果,并与利用三维雷暴云动力电耦合数值模式模拟出来的粒子分布结果做了对比。结果表明,选取的偏振参量阈值基本合理,采用的模糊逻辑方法能有效、合理地识别出雷暴云内水成物的相态和分布,而且利用K_(DP)可以大致判断云内电荷区。
In order to understand the main hydrometeor types affecting the electrification within a thunderstorm,a fuzzy logic algorithm for the classification of hydrometeor based on Xˉband dualˉpolarization Doppler weather radar measurements is deˉ scribed.Four radar parameters,namely,horizontal reflectivity (Z H ),differential reflectivity (Z DR ),specific differential phase (K DP )and correlation coefficient (ρHV ),have been used in the algorithm.Hydrometeor is classified into 11 types which have closed relationships with the nonˉinductive electrification mechanism.The thresholds of polarizatic parameters for the 11 hydroˉ meteor types are obtained by refering to the research results of the hydrometeor classification using Sˉ,Cˉand Xˉband dualˉpoˉ larization weather radars.In addition,environment temperature is added to restrict the altitude range of every hydrometeor type.The hydrometeors of the two convection processes taking place on 24 July 2007 in northwestern China

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采用中国气象科学研究院(CAMS)中尺度云参数化模式对2010年4月20日山西省一次春季层状降水云系的宏微观结构,特别是垂直方向上的微物理结构进行了数值模拟和分析。利用携带云粒子探测设备的飞机对该次层状云系进行了两次云物理探测飞行,并将飞机探测所获取的数据和图像资料与数值模拟结果进行了对比研究。模拟结果显示:该次降水过程以层状冷云降水为主,云中过冷水含量丰富,云系存在明显的3层结构,地面降水主要来自于云中高层冰晶、雪、霰等冰相粒子的融化和低层云水的转化。数值模拟与飞机探测对比分析显示,高空温度、湿度和高度的配置两者基本一致,数值模拟不同高度的云粒子相态、垂直方向云水比含水量与飞机探测获取的云粒子图像和云液态水含量的垂直结构基本吻合,但数值模拟的云中各种水成物粒子出现的高度较飞机探测偏高。
The CAMS meso-scale cloud model is introduced and operationally applied since 2009 in Shanxi Prov-ince.The macro and micro structure of stratiform precipitation clouds,especially the vertical micro-physi-cal structure are simulated and analyzed for a spring stratiform precipitation process in Shanxi Province on 20 April 2010 using the model.Two cloud physical detection flights are carried out by using weather modi-fication plane with equipments of droplet measurement technologies (DMT)in the same place during the same period of the day.The data and images from flight detection and results of numerical simulation are compared and studied.Simulation results show that the precipitation process mainly comes from cold strat-iform cloud.The cloud contains a lot of supercooled water,and the thickness of the rich supercooled water layer is about 4000 meters.The temperature of the supercooled layer is about 0 to -40℃,and the ratio content of the supercooled cloud water is about 0.1—

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本文通过对2000年以来中国近百次强对流天气个例的环境场进行分析,并查阅大量文献资料,综合考虑强对流天气形成的热力不稳定、动力抬升和水汽这三个基本条件出发,从强对流的不稳定条件和主要触发条件的角度,提出中国强对流天气5种基本类别:冷平流强迫类、暖平流强迫类、斜压锋生类、准正压类、高架对流类,并给出了基本解释。高空冷平流强迫类的典型特征是500hPa以上的中高层强干冷平流加强并移到边界层内暖性的辐合带中。暖平流强迫类的主要特征则是不稳定发展主要源于低层强烈的暖湿平流。斜压锋生类的特征是中低层冷暖空气强烈交汇产生的深厚对流,即斜压锋生造成的强对流往往表现为高空干冷平流和低空暖湿平流都很强烈。准正压类多发生在夏季副热带高压外侧或内部、温度梯度较弱的地区,流场上的动力强迫和和地面局地受热不均起主要作用。高架对流类的特征是700500hPa强的西南急流在边界层内的冷垫上被抬升,不稳定能量是来自700hPa以上。通过从形成机制的差异性进行分类,有助于更好地把握各种强对流过程中不同的天气特征、系统配置、动力热力特征及其短期潜势分析重点,为进一步提高该类天气的预报预警水平提供更多的技术支持。
Based on the synoptic environment analysis of about 100 severe convection cases in China since 2000 and the reference of related literatures,from the perspectives of the three essential conditions for the development of severe convection,namely the thermal instability,lift and moisture,five basic synoptic sit-uation configurations of severe convection in China are proposed and expounded.They are cold advection forcing category,warm advection forcing category,baroclinic frontogenesis category,quasi-barotropic cat-egory and elevated thunderstorm category.The typical characteristics of the upper cold advection forcing category is that the mid-upper strong cold advection above 500 hPa strengthens and reaches the boundary warm convergence zone.The warm advection forcing category is characterized by trough with special structure moving over low-level strong warm and moist advection.The deep convection produced by the mid-lower layer convergence of cold and warm air features the baroclinic fr

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2010年6月中国南方发生持续性强降水,其强度与2008年6月相当,超过近年来其他年份。但是,与2008年6月相比,2010年6月对流层中低层低值系统活动在青藏高原至长江中下游地区异常频繁,副热带高压(副高)位置异常偏西、强度偏强,导致低层异常风场辐合区及强降水区域相对偏北。分析2010年6月14—24日中国南方连续出现的4次持续性强降水过程,发现南亚高压、对流层中层的中纬度槽脊和西太平洋副高以及低层切变线和东移低涡是造成持续性强降水的主要天气系统。利用WRF模式对2010年6月强降水过程实施显式对流集合模拟试验,在控制试验重现观测到的地面降水和天气系统特征的基础上,在敏感性试验中将青藏高原的地表短波反照率修改为1.0,对比两组模拟试验的结果表明:控制试验中青藏高原的地表感热加热作用使得高原及其周边地区的大气温度发生变化,相应的热成风平衡调整使得对流层低层至高层大气环流和天气系统特征发生显著变化,增强了中国南方的持续性降水。200 hPa青藏高原西部形成反气旋性环流异常,东部形成气旋性环流异常,青藏高原东部南下的冷空气加强,中国南方辐散增强;500 hPa青藏高原北部的脊加强,中国东部的槽加深,副高西北侧的西南风明显增强,从青藏高原向下游传播的正涡度也显著加强;850 hPa的低涡强烈发展并逐步东移,华南沿海的西南低空急流更为强盛,导致降水区的水汽辐合、上升运动及降水强度都增强。
Persistent severe rainfall occurs over southern China during June 2010,with a magnitude being comparable to June 2008 and exceeding the other recent years.The June of 2010 is characterized by frequent occurrences of low-value systems in the middle- and low- troposphere from the Qinghai-Tibet Plateau to the lower reaches of the Yangtze River,and the significant-ly intensified West Pacific subtropical high (WPSH),leading to more northward located low-level anomalous wind convergence and rain bands compared to June of 2008.Analyzing the four successive persistent severe rainfall events over southern China during 14-24 June 2010,it is found that the South Asian high,the middle-latitude trough and ridge and the WPSH in the mid-dle troposphere,as well as the shear lines and eastward-moving vortices in the lower troposphere are the main synoptic systems inducing the persistent severe rainfall.Moreover,an ensemble of convection-permitting simulations (CTL)is carried out using the WRF model for
目的 探讨人间鼠疫流行与气象因素的关系,为鼠疫风险评估提供参考.方法 人间鼠疫发病资料来自我国部分省(区)上报数据,气象数据来自气象科学数据共享中心的中国地面国际交换站气候资料年值数据集.整理黄胸鼠、喜马拉雅旱獭疫源地气象(气温和湿度)和人间鼠疫发病资料,应用反距离加权空间插值(IDW)和分区统计分析获得各区县气候数据的年均值,利用Stata 12.0软件进行面板数据回归诊断分析,统计当年或领先1~4年温度、湿度对鼠疫发病的影响.结果 对云南、广西、贵州的黄胸鼠疫源地33个县疫情数据和气象因素面板数据回归诊断分析显示,人间疫情流行与当年的极端最高气温(r=-0.022 9,P<0.05)呈负相关,与当年的平均相对湿度(r=0.083 0,P< 0.05)呈正相关,与领先1年的极端最低气温(r=-0.019 6,P<0.01)呈负相关,与领先1年的极端最高气温(r=-0.019 0,P< 0.05)呈负相关,与领先2年的最小相对湿度(r=-0.107 2,P<0.01)呈负相关,与领先3年的平均最高气温(r=-0.118 6,P<0.01)呈负相关;与领先4年的气象因素无关(P均> 0.05).对甘肃、青海、四川喜马拉雅旱獭疫源地发生人间鼠疫疫情的21个县的气象资料与发病起数的面板数据回归分析显示,人间鼠疫的发病与气象因素的关系不大(P均> 0.
Objective To explore the relationship between human plague epidemic and meteorological factors,and to provide a reference for risk assessment of the plague.Methods Human plague incidence data were from the part provinces (districts) reported data in China,and meteorological data were from the annual value database of Chinese Ground International Exchange Station of China Meteorological Data Sharing Service System.The meteorological data (temperature and humidity) and the human plague incidence data of Rattus flavipectus plague foci and plague natural focus of Marmota himalayana plateau foci were sorted out,and inverse distance weighted interpolation (IDW) and zonal statistics were applied to obtain the district average value of climate data;panel data regression was analyzed by Stata 12.0 software; the effect of temperature and humidity on plague incidence this year or 1-4 years ahead was statistically analyzed.Results Regression analysis of epidemic data and meteorological f

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