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A rapid assessment of MWRI-RM/FY3G brightness temperature

Atmospheric and Oceanic Science Letters 2024年第3期17卷 42-46页

作者： Wenying He Xinran Xia Shengli Wu Peng Zhang Hongbin Chen Xiang'ao Xia Yuquan Zhou Miao Cai LAGEO Institute of Atmospheric PhysicsChinese Academy of SciencesBeijingChina School of Hydrology and Water Resources Nanjing University of Information Science&TechnologyNanjingChina National Satellite Meteorological Centure Chinese Meteorological AdministrationBeijingChina College of Earth and Planetary Sciences University of Chinese Academy of SciencesBeijingChina Key Laboratory of Cloud-Precipitation Physics and Weather Modification CMABeijingChina

2023年4月发射的FY-3G上搭载17个频率的测雨微波成像仪(MWRI-RM),其业务定标的微波亮温(Tb)数据于2023年10月23日公开发布.本文比对了发布10天的MWRI-RM与全球降水测量(GPM)卫星上的微波成像仪(GMI)相匹配的Tb数据,并借助辐射传输模式... 详细信息

2023年4月发射的FY-3G上搭载17个频率的测雨微波成像仪(MWRI-RM),其业务定标的微波亮温(Tb)数据于2023年10月23日公开发布.本文比对了发布10天的MWRI-RM与全球降水测量(GPM)卫星上的微波成像仪(GMI)相匹配的Tb数据,并借助辐射传输模式进行双差分(DD)交叉定标分析,旨在快速评估新一代MWRI-RM观测数据质量.观测比较表明,MWR1-RM与GMI测量的Tb一致性很好,大多通道的平均偏差(MBE)和均方根误差(RMSE)均小于1K.两种传感器由于观测角度略有不同在水面产生约0.5 K差异.DD分析也展示出MWRI-RM的大多数通道性能与GMI相当接近,尤其是首次启用的高频166 GHz和183 GHz.

关键词： FY3G MWRI-RM GMI 亮度温度双差分方法

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Vertical Structure of Typical Stratiform precipitation Based on Multi-Source Remote Sensing Data

Vertical Structure of Typical Stratiform Precipitation Based...

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Software System and Information Processing (ICSSIP), IEEE International Conference on

作者： Hong Wang Wengang Zhu Jun Wang Key Laboratory for Meteorological Disaster Prevention and Mitigation of Shandong Jinan China Key Laboratory of Cloud-Precipitation Physics and Weather Modification (CPML) CMA Beijing China Shandong Weather Modification Office Jinan China Changdao National Climatology Observatory Changdao China

ISBN: (数字)9798331506131

ISBN: (纸本)9798331506148

To explore the vertical structure of precipitation in eastern China, multi-source remote sensing has been deployed to Jinan, a city in eastern China. Based on the data of K-band micro-rain radar and Ka-band cloud radar, a typical stratiform cloud precipitation experienced by Jinan city in eastern China from 12:00 on April 22, 2023 to 00:00 on April 23, 2023 is analyzed in detail. The results show that: 1) Both the Micro Rain Radar and the cloud radar can observe the bright band at the altitude of about 2.4 km, and the evolution of the bright band with time and height can be clearly observed. 2) The particles are mainly mixed phase in the bright band, and the particles above the bright band is mainly solid, such as snowflakes, while they are mainly liquid below the bright band, such as raindrops. 3) The characteristics of raindrop size distribution below the bright band show that the evaporation process in the early precipitation period is greater than that in the mature period, and the collisional coalescence in the mature period is more active. 4) cloud radar can infer near-ground collisional coalescence and other microphysical processes from the radar reflectivity factor, which is consistent with the evolution of raindrop size distribution of Micro Rain Radar at different heights, so the synchronous observation of radar with different wavelengths can better show the microphysical processes of precipitation.

关键词： Reflectivity Radar remote sensing Rain clouds Urban areas Radar Solids Software systems Spatial resolution Remote sensing

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Identifying Supercooled Liquid Water in cloud Based on Airborne Observations: Correlation of cloud Particle Number Concentration with Icing Probability and Proportion of Spherical Particles

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Journal of Meteorological Research 2022年第4期36卷 574-585页

作者： Yuquan ZHOU Can SONG Miao CAI Siyao LIU Yang GAO Rong ZHANG CMA Cloud–Precipitation Physics and Weather Modification Key Laboratory(CPML) Beijing 100081 Weather Modification Center of Henan Province Zhengzhou 450000 College of Global Change and Earth System Science Beijing Normal UniversityBeijing 100875

Identifying supercooled liquid water(SLW)in clouds is critical for weather modification,aviation safety,and atmospheric radiation ***,aircraft identification in the SLW area mostly depends on emprical estimation of cloud particle number concentration(N_(c))in China,and scientific verification and quantitative identification criteria are urgently *** this study,the observations are from the Fast cloud Droplets Probe,Rosemount ice detector(RICE),and cloud Particle Imager(CP_(i))onboard a King Air aircraft during seven flights in 2018 and 2019 over central and eastern *** on this,the correlation among N_(c),the proportion of spherical particles(P_(s)),and the probability of icing(P_(i))in supercooled stratiform and cumulus-stratus clouds is statistically ***,this study proposes a method to identify SLW areas using N_(c) in combination with ambient *** reliability of this method is evaluated through the true skill statistics(TSS)and threat score(TS)*** airborne observations during the seven flights reveal a strong correlation among Nc,P_(s),and P_(i)at the temperature from 0 to−18°*** Nc is greater than a certain threshold of 5 cm^(−3),there is always the SLW,i.e.,P_(i)and P_(s)are *** results demonstrate that the TSS and TS values for Nc=5 cm^(−3)are higher than those for Nc<5 cm^(−3),and a larger Nc threshold(>5 cm^(−3))corresponds to a higher SLW identification hit rate and a higher SLW ***,Nc=5 cm^(−3)can be used as the minimum criterion for identifying the SLW in clouds at temperature lower than 0°*** SLW identification method proposed in this study is especially helpful in common situations where aircraft are equipped with only Nc probes and without the CP_(i)and RICE.

关键词： supercooled liquid water(SLW) icing probability cloud particle shape cloud particle number concentration

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Isotopic Analysis for Tracing Vertical Growth Trajectories of Hailstones

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Advances in Atmospheric Sciences 2025年第6期42卷 1195-1211页

作者： Xiangyu LIN Haifan ZHANG Xiaofei LI Qinghong ZHANG Andrew HEYMSFIELD Kai BI Chan-Pang NG Chong WU Dianli GONG Department of Atmospheric and Oceanic Sciences School of PhysicsPeking UniversityBeijing 100871China Shaanxi Key Laboratory of Earth Surface System and Environmental Carrying Capacity Institute of Earth Surface System and HazardsCollege of Urban and Environmental SciencesNorthwest UniversityXi’an 710127China National Center for Atmospheric Science BoulderColoradoCO 80307United States Field Experiment Base of Cloud and Precipitation Research in North China China Meteorological AdministrationBeijing 101200China State Key Lab of Severe Weather Chinese Academy of Meteorological ScienceBeijing 100081China Weather Modification Office of Shandong Province People’s Government Ji’nan 250051China

The growth trajectory of hailstones within clouds has remained elusive due to the inability to trace them directly,impeding the comprehension of their underlying growth *** study investigated hailstone vertical growth trajectories by detecting the stable isotope signatures(2H and 18O compositions)of different shells in 27 hailstones from 9hailstorms,which allowed us to capture the ambient temperature during hailstone *** vertical growth trajectories were obtained by comparing the isotopic compositions of water condensate in clouds,derived from the Adiabatic Model,with those measured in *** hailstone growth was primarily observed in the–10°C to–30°C temperature layer,the embryo formation height and subsequent growth trajectories significantly varied among *** formed over a wide range of temperatures(–8.7°C to–33.4°C);four originated at temperatures above–15°C and 16originated at temperatures below–20°C,suggesting ice nuclei composed of bioproteins and mineral dust,*** the 27 measured hailstones,3 exhibited minimal vertical movement,16 exhibited a monotonic rise or fall,and the remaining 8 exhibited alternating up-down trajectories;only one experienced“recycling”during up-down *** analysis revealed that similar-sized hailstones from a single storm tended to form at similar heights,whereas those larger than 25 mm in diameter exhibited at least one period of upward *** trajectories derived from isotopic analysis were corroborated by radar hydrometeor observations.

关键词： growth trajectory hailstone hailstorm isotopic analysis radar

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Microphysical characteristics of precipitating cumulus cloud based on airborne Ka-band cloud radar and droplet measurements

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Atmospheric and Oceanic Science Letters 2022年第2期15卷 65-70页

作者： Lei Wei Mengyu Huang Rong Zhang Yuhuan Lü Tuanjie Hou Hengchi Lei Delong Zhao Wei Zhou Yuan Fu Beijing Weather Modification Center BeijingChina Key Laboratory for Cloud Physics of China Meteorological Administration BeijingChina Wuqing Meteorological Observatory of Tianjin TianjinChina Institute of Atmospheric Physics Chinese Academy of SciencesBeijingChina Zhejiang Meteorological Observatory HangzhouChina Beijing Key Laboratory of Cloud Precipitation and Atmospheric Water ResourcesBeijingChina Beijing Meteorological Bureau BeijingChina

Based on cloud-probe data and airborne Ka-band cloud radar data collected in Baoding on 5 August 2018,the microphysical structural characteristics of cumulus(Cu)cloud at the precipitation stage were *** cloud droplets in the Cu cloud were found to be significantly larger than those in stratiform(STF)*** the Cu cloud,most cloud particles were between 7 and 10μm in diameter,while in the STF cloud the majority of cloud particles grew no larger than 2μ*** sensitivity of cloud properties to aerosols varied with *** cloud droplet effective radius showed a negative relationship with the aerosol number concentration(Na)in the cloud planetary boundary layer(PBL)and upper layer above the ***,the cloud droplet concentration(Nc)varied little with decreased Na in the high liquid water content region above 1500 *** Na values of between 300 and 1853 cm-3 were found in the PBL,and the maximum Na was sampled near the surface in August in the Hebei region,which was lower than that in autumn and *** radar reflectivity corresponded to large FCDP(fast cloud droplet probe)particle concentrations and small aerosol particle concentrations,and vice versa for low radar *** updrafts in the Cu cloud increased the peak radius and Nc,and broadened cloud droplet spectrum;lower air temperature was favorable for particle condensational growth and produced larger droplets.

关键词： Airplane observation Microphysical processes Ka-band cloud radar Cumulus

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Evaluation of a Lagrangian advection scheme for cloud droplet diffusion growth with a maritime shallow cumulus cloud case

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Atmospheric and Oceanic Science Letters 2022年第6期15卷 29-34页

作者： Wenhao Hu Jiming Sun Lei Wei Yongqing Wang Institute of Atmospheric Physics Chinese Academy of SciencesBeijingChina College of Earth and Planetary Sciences University of Chinese Academy of SciencesBeijingChina Nanjing University of Information Science and Technology NanjingChina Beijing Weather Modification Center BeijingChina Beijing Key Laboratory of Cloud Precipitation and Atmospheric Water ResourcesBeijingChina

A Lagrangian advection scheme(LAS)for solving cloud drop diffusion growth was previously proposed(in 2020)and validated with simulations of cloud droplet spectra with a one-and-a-half dimensional(1.5D)cloud bin model for a deep convection *** simulation results were improved with the new scheme over the original Eulerian *** the present study,the authors simulated rain embryo formation with the LAS for a maritime shallow cumulus cloud case from the RICO(Rain in Cumulus over the Ocean)*** model used to simulate the case was the same 1.5D cloud bin model coupled with the *** the model simulation results with aircraft observation data,the authors conclude that both the general microphysical properties and the detailed cloud droplet spectra are well *** LAS is robust and reliable for the simulation of rain embryo formation.

关键词： Lagrangian advection scheme Warm rain embryo formation Maritime shallow cumulus cloud

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Diagnostic Quantification of the cloud Water Resource in China during 2000–2019

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Journal of Meteorological Research 2022年第2期36卷 292-310页

作者： Miao CAI Yuquan ZHOU Jianzhao LIU Yahui TANG Chao TAN Junjie ZHAO Jianjun OU CMA Key Laboratory for Cloud Physics Weather Modification CenterChina Meteorological Administration(CMA)Beijing 100081 Key Laboratory of Wetland Ecology and Environment Northeast Institute of Geography and AgroecologyChinese Academy of SciencesChangchun 130102 University of Chinese Academy of Sciences Beijing 100049 Meteorological Disaster Prevention Technology Center of Shanxi Taiyuan 030032 Shanghai By Weather Technology Co. Shanghai 201306

By using the diagnostic quantification method for cloud water resource(CWR),the three-dimensional(3D)cloud fields of 1°×1°resolution during 2000-2019 in China are firstly obtained based on the NCEP reanalysis data and related satellite ***,combined with the Global precipitation Climatology Project(GPCP)products,a 1°×1°gridded CWR dataset of China in recent 20 years is *** this basis,the monthly and annual CWR and related variables in China and its six weather modification operation sub-regions are obtained,and the CWR characteristics in different regions are analyzed *** results show that in the past 20 years,the annual total amount of atmospheric hydrometeors(GM_(h))and water vapor(GM_(v))in the Chinese mainland are about 838.1 and 3835.9 mm,*** deducting the annual mean precipitation of China(P_(s),661.7 mm),the annual CWR is about 176.4 *** the six sub-regions,the southeast region has the largest amount of cloud condensation(C_(vh))and precipitation,leading to the largest GM_(h) and CWR *** contrast,the annual P_(s),GM_(h),and CWR are all the least in the northwest ***,the monthly and interannual variation trends of P_(s),C_(vh),and GM_(h) in different regions are identical,and the evolution characteristics of CWR are also consistent with the hydrometeor inflow(Q_(hi)).For the north,northwest,and northeast regions,in spring and autumn the precipitation efficiency of hydrometeors(PEh)is not high(20%-60%),the renewal time of hydrometeors(RT_(h))is relatively long(5-25 h),and GM_(h) is relatively ***,there is great potential for the development of CWR through artificial precipitation enhancement(APE).For the central region,spring,autumn,and winter are suitable seasons for CWR *** the southeast and southwest regions,P_(s) and PE_(h) in summer are so high that the development of CWR should be *** different spatial scales,there are significant differences in the characterist

关键词： cloud water resource(CWR) diagnostic quantification weather modification regions monthly and annual variation development characteristics

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Microphysical Responses to cloud Seeding: Insights From Observation-Validated Simulations

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Geophysical Research Letters 2025年第12期52卷

作者： Shaofeng Hua Baojun Chen Lulin Xue Zhiguo Yue Weiguo Liu Jing Yang Haohao Nie Shuwen Zhao CMA Key Laboratory of Cloud-Precipitation Physics and Weather Modification Beijing China CMA Weather Modification Centre Beijing China Research Applications Laboratory NSF National Center for Atmospheric Research Boulder CO USA Center of Weather Modification of Shaanxi Province Xi'an China Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters (CIC-FEMD)/Key Laboratory for Aerosol-Cloud-Precipitation of China Meteorological Administration Nanjing University of Information Science & Technology Nanjing China Tianjin Weather Modification Office Tianjin China

cloud seeding models are essential for understanding seeding mechanisms, yet their reliability remains insufficiently verified due to limited cases with confirmed seeding effects. On 19 March 2017, significant seeding signals were observed by multiple instruments following airborne cloud seeding over a stratiform cloud system with abundant supercooled water in northern China. This study performed an ensemble simulation of the case using two cloud microphysics schemes and three silver iodide (AgI) nucleation parameterizations, successfully replicating the vertical structure and evolution of the seeding-induced cloud. The simulated seeding impact area, precipitation intensity, and changes in raindrop spectra closely aligned with observations. Results indicate that cloud seeding increased ice crystal amounts primarily through the deposition nucleation of AgI particles, activated the auto-conversion of ice crystals to snow, enhanced snow deposition and riming processes, and ultimately increased surface precipitation through enhanced snow melting. An ensemble of simulation was conducted to simulate a cloud seeding case with clear and distinct seeding signals in China All the simulations successfully replicate the structure and evolution of seeding-induced cloud, surface rainfall and raindrop spectra Seeding enhanced ice deposition, ice-to-snow conversion, snow deposition and riming processes, ultimately increasing precipitation cloud seeding models are used to estimate seeding effects and study seeding mechanisms, but their reliability has not been well validated against observations. This research evaluated the performance of a cloud seeding model using data from a case where the seeding effect was unambiguously confirmed by observations. The ensemble simulation results demonstrate that the model successfully replicates the evolution of the observed seeding-induced radar echoes, changes in surface precipitation and raindrop spectra. The microphysical responses to cloud

关键词： cloud seeding numerical simulation stratiform cloud radar

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Understanding the dynamical-microphysical-electrical processes associated with severe thunderstorms over the Beijing metropolitan region

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Science China Earth Sciences 2021年第1期64卷 10-26页

作者： Xiushu QIE Shanfeng YUAN Zhixiong CHEN Dongfeng WANG Dongxia LIU Mengyu SUN Zhuling SUN Abhay SRIVASTAVA Hongbo ZHANG Jingyu LU Hui XIAO Yongheng BI Liang FENG Ye TIAN Yan XU Rubin JIANG Mingyuan LIU Xian XIAO Shu DUAN Debin SU Chengyun SUN Wenjing XU Yijun ZHANG Gaopeng LU Da-Lin ZHANG Yan YIN Ye YU Key Laboratory of Middle Atmosphere and Global Environment Observation(LAGEO) Institute of A tmospheric PhysicsChinese Academy of SciencesBeijing 100029China Key Laboratory of Cloud-Precipitation Physics and Severe Storms(LACS) Institute of Atmospheric PhysicsChinese Academy of SciencesBeijing 100029China Institute of Urban Meteorology China Meteorological AdministrationBeijing 100089China College of Atmospheric Science Chengdu University of Information TechnologyChengdu 610225China State Key Laboratory of Severe Weather Chinese Academy of Meteorological SciencesBeijing 100081China Key Laboratory for Aerosol-Cloud-Precipitation of China Meteorological Administration Nanjing University of Information Science&TechnologyNanjing 210044China Key Laboratory of Land Surface Process and Climate Change in Cold and Arid Regions Northwest Institute of Eco-Environment and ResourcesChinese Academy of SciencesLanzhou 730000China College of Earth and Planetary Science University of Chinese Academy of ScienceBeijing 100049China Meteorological Observation Centre Beijing Meteorological BureauBeijing 100081China Jiangxi Weather Modification Nanchang 330096China Department of Atmospheric and Oceanic Sciences&Institute of Atmospheric Sciences Fudan UniversityShanghai 200438China Department of Atmospheric and Oceanic Science University of MarylandMaryland 20742USA

The Dynamical-microphysical-electrical Processes in Severe Thunderstorms and Lightning Hazards(STORM973)project conducted coordinated comprehensive field observations of thunderstorms in the Beijing metropolitan region(BMR)during the warm season from 2014 to *** aim of the project was to understand how dynamical,microphysical and electrical processes interact in severe thunderstorms in the BMR,and how to assimilate lightning data in numerical weather prediction models to improve severe thunderstorm *** platforms used in the field campaign included the Beijing Lightning Network(BLNET,consisting of 16 stations),2 X-band dual linear polarimetric Doppler radars,and 4 laser raindrop *** collaboration also made use of the China Meteorological Administration’s mesoscale meteorological observation network in the Beijing-Tianjin-Hebei *** diverse thunderstorm types were documented,it was found that squall lines and multicell storms were the two major categories of severe thunderstorms with frequent lightning activity and extreme rainfall or unexpected local short-duration heavy rainfall resulting in inundations in the central urban area,influenced by the terrain and environmental *** flash density maximums were found in eastern Changping District,central and eastern Shunyi District,and the central urban area of Beijing,suggesting that the urban heat island effect has a crucial role in the intensification of thunderstorms over *** addition,the flash rate associated with super thunderstorms can reach hundreds of flashes per minute in the central city *** super(5%of the total),strong(35%),and weak(60%)thunderstorms contributed about 37%,56%,and 7%to the total flashes in the BMR,*** to the close connection between lightning activity and the thermodynamic and microphysical characteristics of the thunderstorms,the lightning flash rate can be used as an indicator of severe weather events,such as hail

关键词： Lightning 3D location Dual linear polarimetric Doppler radar Severe thunderstorm Lightning data assimilation Hail Short-term heavy precipitation

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Ozone Sensitivity in the Yangtze River Delta Region: A Reanalysis With Enhanced Ozone Forecasts via Multi-Source Data Assimilation

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Journal of Geophysical Research: Atmospheres 2025年第12期130卷

作者： Tian Han Jing Zhang Yunfei Che Xiaomin Hu Xiaoqing Deng Yuqing Liu Yifan Wang Yiwen Lang Faculty of Geographical Science Beijing Normal University Beijing China Key Laboratory for Cloud Physics of China Meteorological Administration (CMA) CMA Weather Modification Centre Beijing China

Distinguishing ozone-sensitive areas is crucial for controlling ozone pollution, and model simulations play a key role in distinguishing ozone sensitive areas. WRF-Chem is one of the state-of-the-art air quality models currently available, but challenges still exist in its simulation of ozone pollution, which are partly due to its strong dependence on the accuracy of initial conditions, boundary conditions, and emissions. To improve the accuracy of ozone predictions, this study assimilated ground-based monitoring and satellite data to improve initial and boundary conditions during a typical ozone pollution episode in YRD region. As a result, compared with station observations, the R and RMSE of model simulation are greatly improved. Additionally, the emission inventory during this event was inverted and then used to drive the model to re-simulate this event, and the simulation results are improved. Furthermore, based on the new emissions, we conducted three emission reduction scenario simulations to distinguish ozone sensitivity region. Ozone formation was in a VOC-limited regime in south Jiangsu during the study period. For north Zhejiang, transitional and NOx-limited regimes occurred alternately. It is worth noting that the ozone sensitivity regimes derived from the original emission inventory were not consistent with those obtained from the improved emission inventory. A comparison with satellite-derived OMI HCHO/NO 2 data confirmed that the conclusions based on the updated emission inventory were more consistent. This study highlights that relying on current emission data for policy formulation may result in strategic errors. The model's ability to predict ozone has been greatly enhanced, and emissions have been optimized using data assimilation The optimized emission inventory was used to drive WRF-Chem model to diagnose ozone sensitivity in YRD region Current emission inventory might cause strategy errors in the diagnosis of ozone sensitivity Ozone pollution i

关键词： ozone sensitivity heavy ozone pollution WRF-Chem data assimilation

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