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大气和海洋科学快报（英文版）
中国科学院大气物理研究所
大气和海洋科学快报（英文版）

中国科学院大气物理研究所

王会军

双月刊

1674-2834

aosl@mail.iap.ac.cn

010-82995202 82995053

100029

北京市德胜门外祁家豁子中国科学院大气物理研究所(北京)9804信箱

大气和海洋科学快报（英文版）/Journal Atmospheric and Oceanic Science LettersCSCD北大核心
查看更多>>《大气和海洋科学快报》的办刊宗旨和业务范围为：充分展示我国大气和海洋科学的研究成果，加强国内外学术交流和探讨，促进我国大气和海洋科学事业的发展，为中国的科学发展和经济建设服务；办刊方针是：立足国内，面向国际，促进创新、追求精品；任务是：报道国内外大气和海洋科学的最新科研成果。　　《大气和海洋科学快报》将竭诚为国内外大气和海洋科学领域的科学家服务，也希望得到广大专家、学者的大力支持，热诚欢迎大家踊跃投稿！
正式出版
收录年代

    Role of the Greenland Sea ice anomaly in the late-spring drought over Northwest China

    Yang LiuHuopo Chen
    1-5页
    查看更多>>摘要：Drought across Northwest China in late spring has exerted a vital effect on the local climate and agricultural production,and has been alleviated during the past decades.This study explored the influence of the preced-ing Arctic sea ice on the May drought in Northwest China caused by the precipitation deficit.Further analysis indicated that when the Greenland Sea ice concentration is abnormally high during February to April,the dry conditions in Northwest China tend to be alleviated.The increase of sea ice in the Greenland Sea can excite a meridional circulation,which causes sea surface temperature(SST)anomalies in the North Atlantic via the sea-air interaction,manifested as significant warm SST anomalies over the south of Greenland and the subtropical North Atlantic,but negative SST anomalies over the west of the Azores.This abnormal SST pattern maintains to May and triggers a zonal wave train from the North Atlantic through Scandinavia and Central Asia to Northwest China,leading to abnormal cyclones in Northwest China.Consequently,Northwest China experiences a more humid climate than usual.

    北极海冰格陵兰海北大西洋海温干旱中国西北

      原文链接:
    • 国家科技期刊平台
    • NETL
    • NSTL
    • 万方数据

    Interannual variability of boreal summer intraseasonal oscillation over the northwestern Pacific influenced by the Pacific Meridional Mode

    Haoyu ZhouPang-Chi HsuLin ChenYitian Qian...
    6-11页
    查看更多>>摘要：During the boreal summer,intraseasonal oscillations exhibit significant interannual variations in intensity over two key regions:the central-western equatorial Pacific(5°S-5°N,150°E-150°W)and the subtropical Northwestern Pacific(10°-20°N,130°E-175°W).The former is well-documented and considered to be influenced by the ENSO,while the latter has received comparatively less attention and is likely influenced by the Pacific Meridional Mode(PMM),as suggested by partial correlation analysis results.To elucidate the physical processes responsible for the enhanced(weakened)intraseasonal convection over the subtropical northwestern Pacific during warm(cold)PMM years,the authors employed a moisture budget analysis.The findings reveal that during warm PMM years,there is an increase in summer-mean moisture over the subtropical northwestern Pacific.This increase interacts with intensified vertical motion perturbations in the region,leading to greater vertical moisture advection in the lower troposphere and consequently resulting in convective instability.Such a process is pivotal in amplifying intraseasonal convection anomalies.The observational findings were further verified by model experiments forced by PMM-like sea surface temperature patterns.

    北半球夏季季节内振荡年际变化太平洋经向模态水汽诊断

      原文链接:
    • 国家科技期刊平台
    • NETL
    • NSTL
    • 万方数据

    Impacts of the annual cycle of background SST in the tropical Pacific on the phase and amplitude of ENSO

    Song JiangCongwen ZhuNing Jiang
    12-17页
    查看更多>>摘要：The dominant annual cycle of sea surface temperature(SST)in the tropical Pacific exhibits an antisymmetric mode,which explains 83.4％total variance,and serves as a background of El Nino-Southern Oscillation(ENSO).However,there is no consensus yet on its anomalous impacts on the phase and amplitude of ENSO.Based on data during 1982-2022,results show that anomalies of the antisymmetric mode can affect the evolution of ENSO on the interannual scale via Bjerknes feedback,in which the positive(negative)phase of the antisymmetric mode can strengthen El Nino(La Nina)in boreal winter via an earlier(delayed)seasonal cycle transition and larger(smaller)annual mean.The magnitude of the SST anomalies in the equatorial eastern Pacific can reach more than±0.3° C,regulated by the changes in the antisymmetric mode based on random sensitivity analysis.Results reveal the spatial pattern of the annual cycle associated with the seasonal phase-locking of ENSO evolution and provide new insight into the impact of the annual cycle of background SST on ENSO,which possibly carries important implications for forecasting ENSO.

    年循环海表面温度异常反对称模态ENSO

      原文链接:
    • 国家科技期刊平台
    • NETL
    • NSTL
    • 万方数据

    Application of the improved dung beetle optimizer,muti-head attention and hybrid deep learning algorithms to groundwater depth prediction in the Ningxia area,China

    Jiarui CaiBo SunHuijun WangYi Zheng...
    18-23页
    查看更多>>摘要：Due to the lack of accurate data and complex parameterization,the prediction of groundwater depth is a chal-lenge for numerical models.Machine learning can effectively solve this issue and has been proven useful in the prediction of groundwater depth in many areas.In this study,two new models are applied to the prediction of groundwater depth in the Ningxia area,China.The two models combine the improved dung beetle optimizer(DBO)algorithm with two deep learning models:The Multi-head Attention-Convolution Neural Network-Long Short Term Memory networks(MH-CNN-LSTM)and the Multi-head Attention-Convolution Neural Network-Gated Recurrent Unit(MH-CNN-GRU).The models with DBO show better prediction performance,with larger R(correlation coefficient),RPD(residual prediction deviation),and lower RMSE(root-mean-square error).Com-pared with the models with the original DBO,the R and RPD of models with the improved DBO increase by over 1.5％,and the RMSE decreases by over 1.8％,indicating better prediction results.In addition,compared with the multiple linear regression model,a traditional statistical model,deep learning models have better prediction performance.

    地下水深度多头注意力机制改进的蜣螂优化算法CNN-LSTMCNN-GRU宁夏

      原文链接:
    • 国家科技期刊平台
    • NETL
    • NSTL
    • 万方数据

    Impact of ocean data assimilation on the seasonal forecast of the 2014/15 marine heatwave in the Northeast Pacific Ocean

    Tiantian TangJiaying HeHuihang SunJingjia Luo...
    24-31页
    查看更多>>摘要：A remarkable marine heatwave,known as the"Blob",occurred in the Northeast Pacific Ocean from late 2013 to early 2016,which displayed strong warm anomalies extending from the surface to a depth of 300 m.This study employed two assimilation schemes based on the global Climate Forecast System of Nanjing University of Information Science(NUIST-CFS 1.0)to investigate the impact of ocean data assimilation on the seasonal prediction of this extreme marine heatwave.The sea surface temperature(SST)nudging scheme assimilates SST only,while the deterministic ensemble Kalman filter(EnKF)scheme assimilates observations from the surface to the deep ocean.The latter notably improves the forecasting skill for subsurface temperature anomalies,especially at the depth of 100-300 m(the lower layer),outperforming the SST nudging scheme.It excels in predicting both horizontal and vertical heat transport in the lower layer,contributing to improved forecasts of the lower-layer warming during the Blob.These improvements stem from the assimilation of subsurface observational data,which are important in predicting the upper-ocean conditions.The results suggest that assimilating ocean data with the EnKF scheme significantly enhances the accuracy in predicting subsurface temperature anomalies during the Blob and offers better understanding of its underlying mechanisms.

    季节预测海洋资料同化海洋热浪事件次表层海温

      原文链接:
    • 国家科技期刊平台
    • NETL
    • NSTL
    • 万方数据

    Increase in the variability of terrestrial carbon uptake in response to enhanced future ENSO modulation

    Younong LiLi DanJing PengQidong Yang...
    32-38页
    查看更多>>摘要：El Nino-Southern Oscillation(ENSO)is a major driver of climate change in middle and low latitudes and thus strongly influences the terrestrial carbon cycle through land-air interaction.Both the ENSO modulation and car-bon flux variability are projected to increase in the future,but their connection still needs further investigation.To investigate the impact of future ENSO modulation on carbon flux variability,this study used 10 CMIP6 earth system models to analyze ENSO modulation and carbon flux variability in middle and low latitudes,and their relationship,under different scenarios simulated by CMIP6 models.The results show a high consistency in the simulations,with both ENSO modulation and carbon flux variability showing an increasing trend in the future.The higher the emissions scenario,especially SSP5-8.5 compared to SSP2-4.5,the greater the increase in vari-ability.Carbon flux variability in the middle and low latitudes under SSP2-4.5 increases by 30.9％compared to historical levels during 1951-2000,while under SSP5-8.5 it increases by 58.2％.Further analysis suggests that ENSO influences mid-and low-latitude carbon flux variability primarily through temperature.This occurrence may potentially be attributed to the increased responsiveness of gross primary productivity towards regional temperature fluctuations,combined with the intensified influence of ENSO on land surface temperatures.

    总初级生产力ENSO变率CMIP6

      原文链接:
    • 国家科技期刊平台
    • NETL
    • NSTL
    • 万方数据

    Optimizing the key parameter to accelerate the recovery of AMOC under a rapid increase of greenhouse gas forcing

    Haolan RenFei ZhengTingwei CaoQiang Wang...
    39-45页
    查看更多>>摘要：Atlantic Meridional Overturning Circulation(AMOC)plays a central role in long-term climate variations through its heat and freshwater transports,which can collapse under a rapid increase of greenhouse gas forcing in climate models.Previous studies have suggested that the deviation of model parameters is one of the major factors in inducing inaccurate AMOC simulations.In this work,with a low-resolution earth system model,the authors try to explore whether a reasonable adjustment of the key model parameter can help to re-establish the AMOC after its collapse.Through a new optimization strategy,the extra freshwater flux(FWF)parameter is determined to be the dominant one affecting the AMOC's variability.The traditional ensemble optimal interpolation(EnOI)data assimilation and new machine learning methods are adopted to optimize the FWF parameter in an abrupt 4×CO2 forcing experiment to improve the adaptability of model parameters and accelerate the recovery of AMOC.The results show that,under an abrupt 4×CO2 forcing in millennial simulations,the AMOC will first collapse and then re-establish by the default FWF parameter slowly.However,during the parameter adjustment process,the saltier and colder sea water over the North Atlantic region are the dominant factors in usefully improving the adaptability of the FWF parameter and accelerating the recovery of AMOC,according to their physical relationship with FWF on the interdecadal timescale.

    大西洋经向翻转环流的重建4×CO2强迫关键参数参数优化资料同化机器学习

      原文链接:
    • 国家科技期刊平台
    • NETL
    • NSTL
    • 万方数据

    Satellite remote sensing reveals overwhelming recovery of forest from disturbances in Asia

    Yiying ZhuHesong WangAnzhi Zhang
    46-51页
    查看更多>>摘要：Forest ecosystems play key roles in mitigating human-induced climate change through enhanced carbon uptake;however,frequently occurring climate extremes and human activities have considerably threatened the stability of forests.At the same time,detailed accounts of disturbances and forest responses are not yet well quantified in Asia.This study employed the Breaks For Additive Seasonal and Trend method—an abrupt-change detection method—to analyze the Enhanced Vegetation Index time series in East Asia,South Asia,and Southeast Asia.This approach allowed us to detect forest disturbance and quantify the resilience after disturbance.Results showed that 20％of forests experienced disturbance with an increasing trend from 2000 to 2022,and Southeast Asian countries were more severely affected by disturbances.Specifically,95％of forests had robust resilience and could recover from disturbance within a few decades.The resilience of forests suffering from greater magnitude of disturbance tended to be stronger than forests with lower disturbance magnitude.In summary,this study investigated the resilience of forests across the low and middle latitudes of Asia over the past two decades.The authors found that most forests exhibited good resilience after disturbance and about two-thirds had recovered to a better state in 2022.The findings of this study underscore the complex relationship between disturbance and resilience,contributing to comprehension of forest resilience through satellite remote sensing.

    森林生态系统增强型植被指数突变检测方法扰动恢复力

      原文链接:
    • 国家科技期刊平台
    • NETL
    • NSTL
    • 万方数据

    Arctic sea-ice extent:No record minimum in 2023 or recent years

    Ola M.JohannessenTor I.Olaussen
    52-55页
    查看更多>>摘要：Arctic sea-ice extent reaches its minimum each year in September.On 11 September 2023 the minimum was 4.969 million square kilometers(mill.km2).This was not a record low,which occurred in 2012,when the minimum was 4.175 mill.km2,0.794 mill.km2 less than the minimum in 2023.However,the ice ex-tent had decreased by 0.432 mill.km2 compared with 2022.Nevertheless,the summer melting in 2023 was remarkably less than expected when considering the strong heat waves in the atmosphere and ocean,with record temperatures set around the world.In general,there is a high correlation between the long-term de-crease in sea-ice extent and the increasing CO2 in the atmosphere,where the increase of CO2 in recent decades explains about 80％of the decrease in sea ice in September,while the remainder is caused by natural variability.
      原文链接:
    • 国家科技期刊平台
    • NETL
    • NSTL
    • 万方数据