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气象学报(英文版)
中国气象学会
气象学报(英文版)

中国气象学会

丁一汇

双月刊

0894-0525

cmsams@163.com

010-68407634

100081

北京中关村南大街46号

气象学报(英文版)/Journal Acta Meteorologica SinicaCSCDCSTPCD北大核心SCI
查看更多>>中国气象学会的官方刊物《气象学报》于1925年7月创刊。英文版于1987年9月创刊,1988年至2008年出版季刊,2009年改为双月刊。
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    Improving the Forecasts of Coastal Wind Speeds in Tianjin,China Based on the WRF Model with Machine Learning Algorithms

    Weihang ZHANGMeng TIANShangfei HAIFei WANG...
    570-585页
    查看更多>>摘要:Characterized by sudden changes in strength,complex influencing factors,and significant impacts,the wind speed in the circum-Bohai Sea area is relatively challenging to forecast.On the western side of Bohai Bay,as the economic center of the circum-Bohai Sea,Tianjin exhibits a high demand for accurate wind forecasting.In this study,three ma-chine learning algorithms were employed and compared as post-processing methods to correct wind speed forecasts by the Weather Research and Forecast(WRF)model for Tianjin.The results showed that the random forest(RF)achieved better performance in improving the forecasts because it substantially reduced the model bias at a lower computing cost,while the support vector machine(SVM)performed slightly worse(especially for stronger winds),but it required an approximately 15 times longer computing time.The back propagation(BP)neural network pro-duced an average forecast significantly closer to the observed forecast but insufficiently reduced the RMSE.In re-gard to wind speed frequency forecasting,the RF method commendably corrected the forecasts of the frequency of moderate(force 3)wind speeds,while the BP method showed a desirable capability for correcting the forecasts of stronger(force>6)winds.In addition,the 10-m u and v components of wind(u10and v10),2-m relative humidity(RH2)and temperature(T2),925-hPa u(u925),sea level pressure(SLP),and 500-hPa temperature(T500)were identi-fied as the main factors leading to bias in wind speed forecasting by the WRF model in Tianjin,indicating the import-ance of local dynamical/thermodynamic processes in regulating the wind speed.This study demonstrates that the combination of numerical models and machine learning techniques has important implications for refined local wind forecasting.

    On the Shallowing of Antarctic Low-Level Temperature Inversions Projected by CESM-LE under RCP8.5

    Minghu DINGLin ZHANGTingfeng DOUYi HUANG...
    586-599页
    查看更多>>摘要:Temperature inversions are frequently observed in the boundary layer and lower troposphere of polar regions.Fu-ture variations of the low-level temperature inversions in these regions,especially the Antarctic,are still poorly un-derstood.Due to the scarcity of observations in the Antarctic,reanalysis data and numerical simulations are often used in the study of Antarctic climate change.Based on ERA-Interim,ERA5,JRA-55,and NCEP-NCAR reanalysis products,this study examines temporal and spatial variations of Antarctic inversion depth in austral autumn and winter during 1979-2020.Deeper inversions are found to occur over the high plateau areas of the Antarctic continent.Based on the Mann-Kendall test,ERA-Interim and ERA5 data reveal that the Antarctic inversion depth in austral au-tumn and winter increased during 1992-2007,roughly maintained afterwards,and then significantly decreased since around 2016.The decrease trend is more obvious in the last two months of winter.Overall,JRA-55 better represents the spatial distribution of inversion depth,and ERA-Interim has better interannual variability.The Community Earth System Model Large Ensemble(CESM-LE)30-member simulations in 1979-2005 were first verified against JRA-55,showing reasonable consistency,and were then used to project the future changes of Antarctic low-level inver-sion depth over 2031-2050 under RCP8.5.The CESM-LE projection results reveal that the temperature inversion will shallow in the Antarctic at the end of the 21st century,and the decrease in depth in autumn will be more pro-nounced than that in winter.In particular,the temperature inversion will weaken over the ice-free ocean,while it will remain stable over the ice sheet,showing certain spatial heterogeneity and seasonal dependence on the underlying cryospheric surface conditions.In addition,the decrease of inversion depth is found closely linked with the reduction in sea ice,suggesting the strong effect of global warming on the thermal structure change of the Antarctic.

    The Observed Near-Surface Energy Exchange Processes over Arctic Glacier in Summer

    Libo ZHOUJinhuan ZHULinlin KONGPeng LI...
    600-607页
    查看更多>>摘要:Under Arctic warming,near-surface energy transfers have significantly changed,but few studies have focused on energy exchange over Arctic glacier due to limitations in available observations.In this study,the atmospheric en-ergy exchange processes over the Arctic glacier surface were analyzed by using observational data obtained in sum-mer 2019 in comparison with those over the Arctic tundra surface.The energy budget over the glacier greatly differed from that over the tundra,characterized by less net shortwave radiation and downward sensible heat flux,due to the high albedo and icy surface.Most of the incoming solar radiation was injected into the glacier in summer,leading to snow ice melting.During the observation period,strong daily variations in near-surface heat transfer oc-curred over the Arctic glacier,with the maximum downward and upward heat fluxes occurring on 2 and 6 July 2019,respectively.Further analyses suggested that the maximum downward heat flux is mainly caused by the strong local thermal contrast above the glacier surface,while the maximum upward heat transfer cannot be explained by the clas-sical turbulent heat transfer theory,possibly caused by countergradient heat transfer.Our results indicated that the near-surface energy exchange processes over Arctic glacier may be strongly related to local forcings,but a more in-depth investigation will be needed in the future when more observational data become available.

    Variations in Column Concentration of Greenhouse Gases in China and Their Response to the 2015-2016 El Nino Event

    Ningwei LIULingjun XIAYoujun DOUShaorou DONG...
    608-619页
    查看更多>>摘要:Since the industrial revolution,enhancement of atmospheric greenhouse gas concentrations as a result of human activities has been the primary cause of global warming.The monitoring and evaluation of greenhouse gases are sig-nificant prerequisites for carbon emission control.Using monthly data of global atmospheric carbon dioxide(CO2)and methane(CH4)column concentrations(hereinafter XCO2 and XCH4,respectively)retrieved by the Greenhouse Gas Observation Satellite(GOSAT),we analyzed the variations in XCO2 and XCH4 in China during 2010-2022 after confirming the reliability of the data.Then,the influence of a strong El Nino event in 2015-2016 on XCO2 and XCH4 variations in China was further studied.The results show that the retrieved XCO2 and XCH4 from GOSAT have similar temporal variation trends and significant correlations with the ground observation and emission invent-ory data of an atmospheric background station,which could be used to assess the variations in XCO2 and XCH4 in China.XCO2 is high in spring and winter while XCH4 is high in autumn.Both XCO2 and XCH4 gradually declined from Southeast China to Northwest and Northeast China,with variation ranges of 401-406 and 1.81-1.88 ppmv,re-spectively;and the high value areas are located in the middle-lower Yangtze River basin.XCO2 and XCH4 in China increased as a whole during 2010-2022,with rapid enhancement and high levels of XCO2 and XCH4 in several areas.The significant increases in XCO2 and XCH4 over China in 2016 might be closely related to the strong El Nino-Southern Oscillation(ENSO)event during 2015-2016.Under a global warming background in 2015,XCO2 and XCH4 increased by 0.768%and 0.657%in 2016 in China.Data analysis reveals that both the XCO2 and XCH4 variations might reflect the significant impact of the ENSO event on glacier melting in the Tibetan Plateau.

    Enhancement and Removal of PM2.5 by Cold and Warm Air Masses Accompanying Certain Synoptic Weather Systems across Hangzhou,China during 2014-2020

    Bu YUFeng CHENHanqing KANGBin ZHU...
    620-634页
    查看更多>>摘要:Local air pollution is strongly affected by synoptic weather systems,such as fronts,troughs,low-altitude vortices,or high-altitude ridges.Nevertheless,few studies have analyzed the meteorological properties of cold or warm air masses associated to these systems and their impact on local air quality.In this study,hourly observations of fine par-ticulate matter(diameter of up to 2.5 pm,i.e.,PM2.5),wind(V),temperature(T),pressure(P),and precipitation(R),acquired in Hangzhou in 2014-2020,were analyzed.From this analysis,weather patterns were categorized into 27 types;89 and 94 cases illustrating the passage of warm and cold air masses over Hangzhou were identified,respect-ively;the influence of air mass temperature,wind speed,and wind direction on PM2.5 concentrations and local accu-mulation or removal was quantified.The main results are as follows.(1)Pollution events occurred more frequently for cold than for warm air masses,but average pollutant concentration was lower for cold air masses;(2)48%of the cold air mass cases corresponded to PM2.5 decreases and 52%to PM2.5 increases,with strong cold air masses(ΔT24h>4℃;|V|average>4 m s-1)markedly reducing local pollution,but weak cold air masses(ΔT24h<2℃;|V|average<2 m s-1)primarily inducing pollutant transport and accumulation;(3)for warm air masses,PM2.5 accumu-lation or removal occurred in 60%and 40%of the cases,respectively:warm air masses(ΔT24h>4℃)reduced the PM2.5 concentration whereas weaker winds(|V|average<2 m s-1)increased it;and(4)PM2.5 concentration decreased sharply within 4 h after the passage of strong cold air masses,but more gradually within 14 h after the passage of strong warm air masses.These results considerably improve the current understanding of the influence of cold and warm air masses on local pollution patterns.