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GRAPES_GFS中三维参考大气的研究:理论设计和理想试验 被引量:19
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作者 苏勇 沈学顺 +1 位作者 陈子通 张红亮 《气象学报》 CAS CSCD 北大核心 2018年第2期241-254,共14页
参考大气的选取对于半隐式半拉格朗日(Semi-Implicit Semi-Lagrangian,简称SISL)模式动力框架的计算精度至关重要。中国气象局数值预报中心自主研发的GRAPES_GFS(Global Regional Assimilation and PrEdiction System,Global Forecast S... 参考大气的选取对于半隐式半拉格朗日(Semi-Implicit Semi-Lagrangian,简称SISL)模式动力框架的计算精度至关重要。中国气象局数值预报中心自主研发的GRAPES_GFS(Global Regional Assimilation and PrEdiction System,Global Forecast System)采用基于等温大气构造的一维参考大气,该方法求解简单、易于实现,但无量纲气压和位势温度扰动量的数量级较大,降低空间计算精度的同时,由于非线性项较大,使得时间计算精度较低。借鉴近年来世界上各主要业务中心的数值模式框架搭建方法,拟在GRAPES_GFS的动力框架中引入不随时间变化且满足静力平衡的三维参考大气,使得积分过程中参考大气可以尽量地靠近模式大气,提高空间计算精度的同时,减小非线性项的数量级,进而提高时间积分的计算精度。本研究重新推导了引入三维参考大气之后模式动力学方程组的求解过程,通过若干个理想试验验证了理论方法以及代码实现的正确性,说明新的三维参考大气可以有效地提高模式动力框架的计算精度。 展开更多
关键词 GRAPES_GFS 参考大气 预估-修正 半隐式半拉格朗日 线性化
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FLEXPART模式模拟褐飞虱回迁的适用性
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作者 刘垚 魏巍 +3 位作者 刘维 王健 包云轩 杨若子 《生态学报》 CAS CSCD 北大核心 2018年第8期2948-2957,共10页
褐飞虱是威胁我国水稻生产安全的主要害虫之一,已经严重地威胁到我国南方地区水稻的安全生产。褐飞虱作为一种风媒迁飞性昆虫,与大气气溶胶粒子的运动相似。采用褐飞虱迁飞相关参数,利用WRF-FLEXPART模式模拟分析两次褐飞虱秋季回迁过... 褐飞虱是威胁我国水稻生产安全的主要害虫之一,已经严重地威胁到我国南方地区水稻的安全生产。褐飞虱作为一种风媒迁飞性昆虫,与大气气溶胶粒子的运动相似。采用褐飞虱迁飞相关参数,利用WRF-FLEXPART模式模拟分析两次褐飞虱秋季回迁过程。通过模拟2013年9月20—24日褐飞虱迁入兴安县的迁飞过程,发现褐飞虱虫量的模拟结果与实验观测到的褐飞虱高空灯诱数据相近、变化趋势一致,相关性达到0.49(P<0.01)。褐飞虱迁飞峰的模拟值平均早于观测值1.5h,这可能与褐飞虱起飞迁飞的主动性及其生理特性等有关。模拟2008年10月5—7日一次冷锋无降水天气过程中的褐飞虱迁飞过程,发现此次冷锋南下和降温过程对褐飞虱的回迁影响显著,主要表现在:(1)在迁飞轨迹上,受热带气旋影响,广西、贵州、湖南和广东西部地区以东北风为主,有利于褐飞虱向西南方向的迁飞;(2)在虫量密度分布上,广东中部地区同时具备了较好的动力和温湿条件,促使大量褐飞虱向着该地区(较温暖)迁入,而湖北地区虽以西北—东北风为主,但地面气温较低(低于广东地区),不利于褐飞虱的大量迁入。综上所述,WRF-FLEXPART模式适用于褐飞虱的迁飞模拟且有较好的模拟能力,该研究对我国褐飞虱灾变的准确预警、病虫测报水平的提高具有重要的参考价值。 展开更多
关键词 褐飞虱 WRF—FLEXPART模式 适用性 模式验证
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基于亮温通道变率的FY-3C微波湿度计陆地云检测新方法 被引量:2
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作者 朱利剑 秦正坤 王金成 《气象学报》 CAS CSCD 北大核心 2018年第3期434-448,共15页
云检测是卫星资料同化的重要前处理步骤,无论是晴空资料同化还是有云资料同化,都需要准确地区分有云和晴空资料。由于陆地地表发射率的多变性和微波能穿透部分云类的特点,微波湿度计资料在陆地上空的云检测研究一直是难点。利用快速辐... 云检测是卫星资料同化的重要前处理步骤,无论是晴空资料同化还是有云资料同化,都需要准确地区分有云和晴空资料。由于陆地地表发射率的多变性和微波能穿透部分云类的特点,微波湿度计资料在陆地上空的云检测研究一直是难点。利用快速辐射传输模式(CRTM)分析了不同云类条件下FY-3C微波湿度计(MWHS-Ⅱ)各通道亮温的通道间变率特征,根据MWHS-Ⅱ亮温通道间变率随云高以及云中液态水含量的增大而减小的特点,提出了一个基于亮温通道变率的MWHS-Ⅱ陆地资料云检测方法。与已有的云产品比较结果表明:新的云检测算法能有效地剔除大部分受云影响的资料,剔除后的晴空资料观测和模拟偏差更好地符合高斯分布。新方法对过冷水云、冰云、重叠云的检测能力较强,正确检测率可以达到80%,对卷云以及高度较低的水云的检测能力相对较弱。新方法能有效利用MWHS-Ⅱ观测资料自身完成云检测,在MWHS-Ⅱ资料同化中有很好的应用前景。 展开更多
关键词 微波湿度计 微波湿度计(MWHS-Ⅱ) 云检测 快速辐射传输模式(CRTM)
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The boundary layer characteristics in the heavy fog formation process over Beijing and its adjacent areas 被引量:12
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作者 ZHANG Guangzhi, BIAN Lingeng, WANG Jizhi, YANG Yuanqin, YAO Wenqing & XU Xiangde HWL of Chinese Academy of meteorological Sciences, beijing 10008, china national meteorological center, beijing 100081, china 《Science China Earth Sciences》 SCIE EI CAS 2005年第z2期88-101,共14页
By utilizing the Atmospheric Boundary Layer (ABL) observational data made available from the project "973" under the auspices of the Ministry of Science and Technology of the People's Republic of China -... By utilizing the Atmospheric Boundary Layer (ABL) observational data made available from the project "973" under the auspices of the Ministry of Science and Technology of the People's Republic of China - entitled the Beijing City Air Pollution Observation Field Experiment (BECAPEX), including the measurements by a wind profiler, captive airships, tower-based boundary layer wind and temperature gradient observational instruments (ultrasonic anemometers and electronic thermometers), air composition samplers, conventional upper-air, surface and Automatic Weather Stations (AWS) observations, this paper herewith analyzes, in a comprehensive manner, the occurrence of a heavy fog event over Beijing in February 2001, including its formation, development, persistence, dynamic and thermodynamic features as well as evolving stratification structures within the boundary layer at different stages. The results suggested: (i) as a typical case of urban heavy fog, before the fog onset over Beijing, a temperature inversion existed in the lower atmosphere, the smokes and the pollutants like SO2 and NO2 had been accumulated at a lower level. Proceeding the fog event, with the increase of SO2 and NO2 concentrations, condensability increased sharply. On the contrary, during the fog process, with increasing condensability, SO2 and NO2 concentrations decreased. This indicated that, acting as condensation nucleus, these accumulated pollutants were playing a key role in catalyzing the fog condensation. (ii) By analyzing mean gradient-, pulsation- and turbulence-distribution patterns derived from the wind measurements taken by the aforementioned tower-based instruments, they all indicated that about 10 hours before the fog onset, a signal foretelling potential strong disturbances in the lower boundary layer was detected, and a significant rise of both mean and disturbance kinetic energies was observed, revealing that the low-level wind shear was strengthened before the fog onset, consequently creating a favorable condition for the outbreak of turbulences. This strong signal seemed to be very meaningful in monitoring and predicting fog occurrence and its development. (iii) Once the fog was in shape, its condensation feedback effects tended to lift the height of temperature inversion layer within the mid and upper levels of the lower atmosphere, which in return determined the fog persistence and restructuring process. 展开更多
关键词 BEIJING heavy fog SO2 and NO2 catalyzing FOG condensation DISTURBANCE KINETIC energy signal.
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Vertical dynamic and thermodynamic characteristics of urban lower boundary layer and its relationship with aerosol concentration over Beijing 被引量:11
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作者 ZHOU Mingyu, YAO Wenqing, XU Xiangde & YU Haiqing State Key Laboratory on Severe Weather, Chinese Academy of meteorological Sciences, beijing 100081, china national Marine Environment Forecasting center, beijing 100081, china national meteorological center, beijing 100081, china 《Science China Earth Sciences》 SCIE EI CAS 2005年第z2期25-37,共13页
By utilizing observational data from a 325 m tower of the Institute of Atmospheric Physics (IAP), Chinese Academy of Sciences (CAS) on March 19-29, 2001 and August 11-25, 2003, a comprehensive study was conducted on t... By utilizing observational data from a 325 m tower of the Institute of Atmospheric Physics (IAP), Chinese Academy of Sciences (CAS) on March 19-29, 2001 and August 11-25, 2003, a comprehensive study was conducted on the vertical dynamical and thermodynamic characteristics of the urban lower boundary layer (ULBL) and its relationship with aerosol concentration over Beijing. Firstly, a comparative analysis was made on the gradient data (wind, temperature and humidity), ultrasonic data (atmospheric turbulences) and air-quality observations at different tower heights (47, 120 and 280 m). Secondly, a diagnosis was made to reveal the major features of normalized variances of velocity and temperature, turbulence kinetic energy as well as their relationship with aerosol concentrations. Furthermore, the characteristics of the ULBL vertical structure and the TSP concentration/distribution variations during a sand/dust weather process were also analyzed. The outcome of the study showed that under unstable stratification, the normalized variances of velocity (σu/u*, σv/u*, σw/u*) and temperature (σT/T*) at 47 and 120 m heights fit the Monin-Obukhov similarity (MOS) framework and the fitting formulas were given out accordingly. According to the stratification parameter (z′/L), the stable ULBL could be divided into 2 zones. With z′/L<0.1, it was a weakly stable zone and MOS framework was applicable. The other was a highly stable zone with z′/L>0.1 and the normalized velocity variances tended to increase along with higher stability, but it remained constant for normalized temperature variances. At daytime, the near-surface layer includes two heights of 47 and 120 m, while 280 m has been above it. The ULBL analysis in conjunction with a sand/dust weather process in Beijing in March 2001 indicated that the maximum concentration of Total Suspended Particulates (TSP) at 320 m reached 913.3 μg/m3 and the particles were transported from the upper to lower ULBL, which was apparently related to the development process of a low-level jet and its concomitant strong sinking motion. 展开更多
关键词 URBAN boundary layer turbulence AEROSOL concentration sand/dust weather.
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