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Updated Simulation of Tropospheric Ozone and Its Radiative Forcing over the Globe and China Based on a Newly Developed Chemistry–Climate Model

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Journal of Meteorological Research 2022年第4期36卷 553-573页

作者： Qi AN Hua ZHANG Shuyun ZHAO Tijian WANG Qianxia LIU Zaizhi WANG Sunling GONG Bing XIE Yi LIU Institute of Urban Meteorology China Meteorological AdministrationBeijing 100089 State Key Laboratory of Severe Weather Chinese Academy of Meteorological SciencesChina Meteorological AdministrationBeijing 100081 Department of Atmospheric Science School of Environmental StudiesChina University of GeosciencesWuhan 430074 School of Atmospheric Sciences Nanjing UniversityNanjing 210023 CMA Earth System Modeling and Prediction Center China Meteorological Administration(CMA)Beijing 100081 Key Laboratory for Climate Studies National Climate CenterChina Meteorological AdministrationBeijing 100081 Carbon Neutrality Research Center Institute of Atmospheric PhysicsChinese Academy of SciencesBeijing 100029

This study evaluates the performance of a newly developed atmospheric chemistry–climate model,BCCAGCM_CUACE2.0(Beijing Climate center Atmospheric General Circulation Model_China Meteorological Administration Unified Atmospheric Chemistry Environment)model,for determining past(2010)and future(2050)tropospheric ozone(O_(3))*** radiative forcing(RF),effective radiative forcing(ERF),and rapid adjustments(RAs,both atmospheric and cloud)due to changes in tropospheric O_(3)are then simulated by using the *** results show that the model reproduces the tropospheric O_(3)distribution and the seasonal changes in O_(3)surface concentration in 2010 reasonably compared with site observations throughout *** global annual mean burden of tropospheric O_(3)is simulated to have increased by 14.1 DU in 2010 relative to pre-industrial time,particularly in the Northern *** the same period,tropospheric O_(3)burden has increased by 21.1 DU in China,with the largest increase occurring over Southeast *** the simulated tropospheric O_(3)burden exhibits a declining trend in global mean in the future,it increases over South Asia and Africa,according to the Representative Concentration Pathway(RCP)4.5 and 8.5 *** global annual mean ERF of tropospheric O_(3)is estimated to be 0.25 W m^(−2)in 1850−2010,and it is 0.50 W m^(−2)over *** corresponding atmospheric and cloud RAs caused by the increase of tropospheric O_(3)are estimated to be 0.02 and 0.03 W m^(−2),*** the RCP2.6,RCP4.5,RCP6.0,and RCP8.5 scenarios,the annual mean tropospheric O_(3)ERFs are projected to be 0.29(0.24),0.18(0.32),0.23(0.32),and 0.25(0.01)W m^(−2)over the globe(China),respectively.

关键词： tropospheric ozone effective radiative forcing rapid adjustments

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Quality Assessment of Rain Rate Product from FengYun-3D MWRI

Quality Assessment of Rain Rate Product from FengYun-3D MWRI

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IEEE International Symposium on Geoscience and Remote Sensing (IGARSS)

作者： Xiaoqing Li Ruixia Liu Innovation Center for FengYun Meteorological Satellite (FYSIC) Key Laboratory of Radiometric Calibration and Validation for Environmental Satellites National Satellite Meteorological Center CMA CMA Earth System Modeling and Prediction Centre (CEMC) CMA

ISBN: (数字)9798350360325

ISBN: (纸本)9798350360332

Passive microwave precipitation estimation from FengYun-3 (FY-3) polar-orbiting meteorological satellite plays an important role for global precipitation measurement. This paper carries out quality assessment of FY-3D microwave radiation imager (MWRI) instantaneous surface rain rate product (MRR) from 2018 to 2020 based on Global Precipitation Measurement (GPM) Dual-frequency Precipitation Radar (DPR) Level 2 product (2ADPR). Dichotomous and continuous statistics for quality assessment are analyzed in monthly scale. The results show that FY-3D MRR product, compared with 2ADPR, can identify the occurrence of rainfall well with a high Probability of detection and a low false alarm ratio, and can describe the rain intensity well with a high correlation coefficient and low relative difference. A case over northeast China region also shows a good performance of FY3D MRR product compared with ground Doppler radar data.

关键词： Microwave measurement Rain Satellites Radar measurements Spaceborne radar Soft sensors Estimation

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Recent Advances in China on the Predictability of Weather and Climate

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Advances in Atmospheric Sciences 2023年第8期40卷 1521-1547页

作者： Wansuo DUAN Lichao YANG Mu MU Bin WANG Xueshun SHEN Zhiyong MENG Ruiqiang DING LASG Institute of Atmospheric PhysicsChinese Academy of SciencesBeijing 100029China Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters(CIC-FEMD) Nanjing University of Information Science&TechnologyNanjing 210044China Department of Atmospheric and Oceanic Sciences/Institute of Atmospheric Sciences Fudan UniversityShanghai 200438China CMA Earth System Modeling and Prediction Center China Meteorological AdministrationBeijing 100081China CMA Tornado Key Laboratory Department of Atmospheric and Oceanic SciencesSchool of PhysicsPeking UniversityBeijing 100871China Faculty of Geographical Science Beijing Normal UniversityBeijing 100875China

This article summarizes the progress made in predictability studies of weather and climate in recent years in China,with a main focus on advances in methods to study error growth dynamics and reduce uncertainties in the forecasting of weather and ***,it covers(a)advances in methods to study weather and climate predictability dynamics,especially those in nonlinear optimal perturbation methods associated with initial errors and model errors and their applications to ensemble forecasting and target observations,(b)new data assimilation algorithms for initialization of predictions and novel assimilation approaches to neutralize the combined effects of initial and model errors for weather and climate,(c)applications of new statistical approaches to climate predictions,and(d)studies on meso-to small-scale weather system predictability *** of the major frontiers and challenges remaining in predictability studies are addressed in this context.

关键词： predictability target observation data assimilation ensemble forecasting

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Progress on the GNSS-R Product from Fengyun-3 Missions

Progress on the GNSS-R Product from Fengyun-3 Missions

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IEEE International Symposium on Geoscience and Remote Sensing (IGARSS)

作者： Feixiong Huang Yueqiang Sun Junming Xia Cong Yin Weihua Bai Qifei Du Xiaochun Zhai Guanglin Yang Lin Chen Wenqiang Lu Xiuqing Hu Yan Liu National Space Science Center Chinese Academy of Sciences Beijing China National Satellite Meteorological Center China Meteorological Administration Beijing China Center for Earth System Modeling and Prediction China Meteorological Administration Beijing China

ISBN: (数字)9798350360325

ISBN: (纸本)9798350360332

Fengyun-3 (FY-3) series are operational satellite missions that can provide global GNSS-R observations using multiple GNSS systems. This abstract highlights the advancements in GNSS-R product development from FY-3E, FY-3F, and FY-3G. Currently available to the public are operational Level 1 and Level 2 wind products with a 25-km resolution. Additionally, a raw intermediate frequency product is accessible for scientific research. Upcoming product developments include the release of Level 2 12.5-km wind, Level 2 land soil moisture, Level 2 sea ice thickness, and Level 3 wind. Their algorithms and scientific impact will be discussed.

关键词： Global navigation satellite system Satellites Soil moisture Geoscience and remote sensing Product development Sea ice

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Links between winter dust over the Tibetan Plateau and preceding autumn sea ice variability in the Barents and Kara Seas

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Advances in Climate Change Research 2022年第6期13卷 896-908页

作者： Chao XU Jie-Hua MA Jian-Qi SUN Chao YOU Yao-Ming MA Hui-Jun WANG Tao WANG Climate Change Research Centre Institute of Atmospheric PhysicsChinese Academy of SciencesBeijing 100029China CMA Earth System Modeling and Prediction Centre(CEMC) China Meteorological AdministrationBeijing 100081China Nansen-Zhu International Research Centre Institute of Atmospheric PhysicsChinese Academy of SciencesBeijing 100029China Key Laboratory of Meteorological Disaster(KLME) Ministry of Education&Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters(CIC-FEMD)Nanjing University of Information Science&TechnologyNanjing 210044China College of Environment and Ecology Chongqing UniversityChongqing 400044China Land-Atmosphere Interaction and Its Climatic Effects Group State Key Laboratory of Tibetan Plateau Earth System and Resources Environment(TPESRE)Institute of Tibetan Plateau ResearchChinese Academy of SciencesBeijing 100101China College of Earth and Planetary Sciences University of Chinese Academy of ScienceBeijing 100049China Center for Pan-third Pole Environment Lanzhou UniversityLanzhou 730000China

The Tibetan Plateau(TP)is characterized by heavily local dust activities,however,the mechanism of interannual variations of winter dust frequency over the TP remain poorly *** studies showed the autumn Arctic sea ice could significantly influence the winter climate over *** autumn sea ice affects winter dust activity over the TP or not?Here,we used an integrated surface database to investigate possible mechanisms for interannual variability in the frequency of winter dust events above the *** variability,which is thought to be mainly caused by local dust emissions,shows significant correlations with sea ice concentration(SIC)in the Barents and Kara Seas during the preceding *** Barents-Kara SIC is accompanied by reduced snow depth over northern Eurasia between autumn and winter,which can enhance the Eurasian mid-latitude westerly jet *** strengthening increases the cyclogenesis and occurrence of strong surface wind speeds in winter,especially over the *** addition,a lower SIC is closely associated with reduced precipitation and snow cover in late autumn and winter over the TP,which in turn enhances warming of the land surface and reduces the area of frozen *** anomalies in atmospheric circulation patterns and local surface conditions promote dust events above the TP during *** ensemble means of Atmospheric Model Intercomparison Project experiments from Phase 6 of the Coupled Model Inter-comparison Project and the Community Atmosphere Model version 4 can generally reproduce the atmospheric circulation anomalies associated with decreased Barents-Kara *** study reveals the crucial effect that SIC anomalies in the Barents and Kara Seas have on winter dust activities over the TP.

关键词： Winter dust frequency Tibetan Plateau Sea ice concentration Barents and Kara Seas Snow anomalies

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A novel method to analyze NO2 and PM2.5 spatiotemporal variability over Eastern China

A novel method to analyze NO2 and PM2.5 spatiotemporal varia...

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第22届中国大气环境科学与技术大会暨中国环境科学学会大气环境分会2016年学术年会

作者： M.-Y.Liu J.-T.Lin Y.-C.Wang Y.Sun B.Zheng J.-Y.Shao J.-X.Cheng Z.-H.Wu Y.-Y.Yan Y-Y.Zheng Laboratory for Climate and Ocean-Atmosphere Studies Department of Atmospheric and Oceanic SciencesS Institute of Atmospheric Physics Chinese Academy of Sciences Ministry of Education Key Laboratory for Earth System Modeling Center for Earth System ScienceTsing Center for Ocean-Atmospheric Prediction Studies Florida State UniversityTallahasseeFlorida 32306-2

Over Eastern China(consist of Southern Eastern China and Northern East China),nitrogen dioxide(NO2),particulate matters with diameter less than 2.5 μm(PM2.5)and other air pollutants vary significantly in space and un... 详细信息

关键词： NO2 PM2.5 spatiotemporal variation Eastern China Surface observation

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Development of the CMA-ChemRA: China Regional Weakly Coupled Chemical-Weather Reanalysis system with product since 2007

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Science of the Total Environment 2024年 957卷 177552页

作者： Zhang, Tao Zhou, Zijiang Zhang, Zhisen Zhong, Junting Liu, Zhiquan Zhang, Xiaoye Xu, Wenhui Jiang, Lipeng Liao, Jie Ma, Yaping Zhou, Yike Wang, Huiying Chen, Jie Zhang, Lu Yao, Yan Jiang, Hui Jiang, Wenjing National Meteorological Information Centre Beijing100081 China Chinese Academy of Meteorological Sciences Beijing100081 China National Center for Atmospheric Research BoulderCO80301 United States CMA Earth System Modeling and Prediction Centre Beijing100081 China

The CMA-ChemRA (China Regional Weakly Coupled Chemical-Weather Reanalysis system) was developped using China's first-generation global atmospheric reanalysis product (CRA-40) as initial fields and boundary conditions, coupled with the WRF-Chem atmospheric chemical model and the WRFDA/3DVar assimilation system. By constructing a joint background error covariance matrix, CMA-ChemRA achieves weak coupling between atmospheric chemistry and meteorological variables, enabling simultaneous assimilation of diverse data sources, including hourly observations from ground stations, wind profilers, upper-air soundings, aircraft reports, and atmospheric composition measurements. To extend the dataset to periods before 2013 when China lacked PM2.5 observations, the system incorporates a reconstructed PM2.5 dataset derived by AI from visibility inversion alongside various emission inventories. The CMA-ChemRA system produces a reanalysis product from 2007 to the present, with a spatial resolution of 15 km and an hourly temporal resolution. It includes three-dimensional isobaric and near-surface layers for 6 key elements PM2.5, PM10, O3, SO2, NO2, and CO, as well as meteorological variables. This product is updated in near real-time, with a 50-min lag for forecast updates. Evaluation of the system shows substantial improvements in accuracy, with significant reductions in root mean square error (RMSE) for the six elements in the near-surface atmospheric layer post-assimilation. The model's depiction of ground-level PM2.5 concentrations aligns well with independent observational data across five urban regions, showing a narrow RMSE range of 15.5 to 32.8 μg/m3. Additionally, CMA-ChemRA demonstrates strong performance in capturing the evolution of dust storms and pollution events, particularly in accurately modeling PM2.5 concentrations during severe pollution episodes. Our innovative approach in constructing a joint background error covariance matrix and the resulting high-resolution,

关键词： Assimilation Chemical-weather coupled reanalysis Operational production

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Variation of Dust in Northern China and Its Reproduction in BCC-ESM1 since 1980

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Journal of Meteorological Research 2023年第5期37卷 617-631页

作者： Yumeng ZHOU Tongwen WU Jie ZHANG Yong ZHANG Yanwu ZHANG He ZHAO Weihua JIE Yang ZHOU Kalli FURTADO Chinese Academy of Meteorological Sciences China Meteorological AdministrationBeijing 100081China Earth System Modeling and Prediction Centre China Meteorological AdministrationBeijing 100081China Sichuan Climate Center/Heavy Rain and Drought-Flood Disasters in Plateau and Basin Key Laboratory of Sichuan Province Chengdu 610072China State Key Laboratory of Severe Weather Chinese Academy of Meteorological SciencesChina Meteorological AdministrationBeijing 100081China Meteorological Observation Centre China Meteorological AdministrationBeijing 100081China Nanjing University of Information Science&Technology Nanjing 210044China Met Office Hadley Centre Exeter EX13PBUnited Kingdom

In this paper,we explore the possible causes and mechanisms for the variation of dust in northern China from 1980to 2014 using the Modern-Era Retrospective analysis for Research and Applications version 2(MERRA-2)data,observational data,and BCC-ESM1(Beijing Climate center earth system Model version 1)simulation *** important dust centers are identified in China:one in the Taklamakan Desert in southern Xinjiang Region and the other in the Badain Jaran Desert in western Inner Mongolia *** centers display distinct seasonal variations,with high dust concentration in spring and summer and low in autumn and ***-ESM1 is able to generally capture the main spatial and temporal characteristics of dust in northern *** the MERRA-2 reanalysis data and BCCESM1 simulation data show a decreasing trend in spring dust,which is evident during 1980–2000 and 2001–*** analysis based on daily mean dust loads and wind fields from MERRA-2 and BCC-ESM1 indicates that dusty weather in North China may be mainly caused by transport of the dust,especially that from the central and western Inner Mongolia Plateau during the prior 0–2 days,through the westerly winds from the upstream“dust core”region(38°–45°N,90°–105°E).This is one of the important paths for dust to move into North *** weakened westerly wind in the lower troposphere in this“dust core”region may be responsible for the reduction of spring dust in North China.

关键词： dust aerosols Coupled Model Intercomparison Project Phase 6(CMIP6) earth system models

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Local Transport Behaviors of Representative Radionuclides During the Fukushima Accident: A 200-M-Resolution Cross-Scale Study from Site to 20 Km

SSRN

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SSRN 2023年

作者： Zhuang, Shuhan Fang, Sheng Dong, Xinwen Xu, Yuhan Sheng, Li Institute of Nuclear and New Energy Technology Collaborative Innovation Centre of Advanced Nuclear Energy Technology Key Laboratory of Advanced Reactor Engineering and Safety of Ministry of Education Tsinghua University Beijing100084 China Earth System Modeling and Prediction Center China Meteorological Administration Beijing100081 China

modeling of local atmospheric radionuclide transport is essential for nuclear emergency response. However, very few studies of the Fukushima Daiichi nuclear power plant (FDNPP) accident have focused on this topic because of the complex meteorology and the cross-scale transport behaviors from the site to 20 km of the FDNPP. In this study, both the local meteorology and transport behaviors were investigated at high resolution (200 m) using ensembles of different meteorology and models. Four wind fields calculated from onsite observations and three regional-scale meteorological fields (i.e., the 1-km ECMWF, 3-km and 1-km NHM-LETKF), and two transport models: the RIMPUFF Lagrangian puff model and the SPRAY particle model were considered and combined with each other. These eight simulations and their ensemble mean were analyzed based on onsite observations of wind and gamma dose rates, and local-scale observations of 137Cs concentration. Results revealed that at the site, the wind direction dominates the transport behavior. Therefore, the Onsite wind field, which captured the frequently changing wind, best reproduced the onsite gamma dose rates. At the local scale (up to 20 km), the observations present a smoother temporal change. The wind fields assimilated with Japanese domestic observations presented advantageous performance, and the 1-km NHM-LETKF achieved the best score of the factor of 5 metric of 0.49 for the simulated 137Cs concentration. The SPRAY coupled with the 3D convolution method and RIMPUFF showed better performance in simulating the onsite gamma dose rate and the local-scale concentration, respectively. The ensemble mean achieved robust metrics, better simulated the baseline of onsite gamma dose rates, and reproduced more peaks of local-scale concentration at the expense of peak value deviation. © 2023, The Authors. All rights reserved.

关键词： Meteorology

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Advances in Atmospheric Radiation:Theories,Models,and Their ***Ⅱ:Radiative Transfer Models and Related Applications

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Journal of Meteorological Research 2024年第2期38卷 183-208页

作者： Hua ZHANG Feng ZHANG Lei LIU Yuzhi LIU Husi LETU Yuanjian YANG Zhengqiang LI Kun WU Shuai HU Ming LI Tie DAI Fei WANG Zhili WANG Yuxiang LING Yining SHI Chao LIU State Key Laboratory of Severe Weather and Institute of Climate System Chinese Academy of Meteorological SciencesChina Meteorological AdministrationBeijing 100081 Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters Nanjing University of Information Science&TechnologyNanjing 210044 Department of Atmospheric and Oceanic Sciences&Institute of Atmospheric Sciences Fudan UniversityShanghai 200438 College of Meteorology and Oceanography National University of Defense TechnologyChangsha 410073 College of Atmospheric Sciences Lanzhou UniversityLanzhou 730000 State Key Laboratory of Remote Sensing Science Aerospace Information Research InstituteChinese Academy of SciencesBeijing 100101 School of Atmospheric Physics Nanjing University of Information Science&TechnologyNanjing 210044 School of Atmospheric Sciences Nanjing University of Information Science&TechnologyNanjing 210044 Institute of Atmospheric Physics Chinese Academy of SciencesBeijing 100029 CMA Earth System Modeling and Prediction Centre China Meteorological Administration(CMA)Beijing 100081

The subject of“atmospheric radiation”includes not only fundamental theories on atmospheric gaseous absorption and the scattering and radiative transfer of particles(molecules,cloud,and aerosols),but also their applications in weather,climate,and atmospheric remote sensing,and is an essential part of the atmospheric *** review includes two parts(Part I and PartⅡ);following the first part on gaseous absorption and particle scattering,this part(PartⅡ)reports the progress that has been made in radiative transfer theories,models,and their common applications,focusing particularly on the contributions from Chinese *** recent achievements on radiative transfer models and methods developed for weather and climate studies and for atmospheric remote sensing are firstly ***,the associated applications,such as surface radiation estimation,satellite remote sensing algorithms,radiative parameterization for climate models,and radiative-forcing related climate change studies are summarized,which further reveals the importance of radiative transfer theories and models.

关键词： atmospheric radiation radiative transfer remote sensing radiative forcing climate change

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