粒子滤波同化在厄尔尼诺—南方涛动目标观测中的应用
详细信息    查看全文 | 推荐本文 |
  • 英文篇名:Application of Particle Filter Assimilation in the Target Observation for El Ni?o–Southern Oscillation
  • 作者:段晚锁 ; 封凡 ; 侯美夷
  • 英文作者:DUAN Wansuo;FENG Fan;HOU Meiyi;State Key Laboratory of Numerical Modeling for Atmospheric Sciences and Geophysical Fluid Dynamics (LASG),Institute of Atmospheric Physics,Chinese Academy of Sciences;College of Earth Sciences,University of Chinese Academy of Sciences;School of Atmospheric Sciences/Plateau Atmosphere and Environment Key Laboratory of Sichuan Province/Joint Laboratory of Climate and Environment Change,Chengdu University of Information Technology;College of Atmospheric Sciences,Nanjing University of Information Science & Technology;
  • 关键词:厄尔尼诺—南方涛 ; 粒子滤波 ; 目标观测
  • 英文关键词:El Ni?o–Southern Oscillation;;Particle filter;;Target observation
  • 中文刊名:DQXK
  • 英文刊名:Chinese Journal of Atmospheric Sciences
  • 机构:中国科学院大气物理研究所大气科学和地球流体力学数值模拟国家重点实验室;中国科学院大学地球科学学院;成都信息工程大学大气科学学院/高原大气与环境四川省重点实验室/气候与环境变化联合实验室;南京信息工程大学大气科学学院;
  • 出版日期:2018-05-15
  • 出版单位:大气科学
  • 年:2018
  • 期:v.42
  • 基金:国家自然科学基金项目41525017;41690124;; “全球变化与海气相互作用”专项GASI-IPOVAI-06;; 成都信息工程大学引进人才科研启动项目KYTZ201736~~
  • 语种:中文;
  • 页:DQXK201803015
  • 页数:19
  • CN:03
  • ISSN:11-1768/O4
  • 分类号:234-252
摘要
针对粒子滤波—目标观测方法的局限性,提出了能够克服该局限性的新目标观测方法,并将其应用于厄尔尼诺—南方涛动可预报性研究,揭示了东太平洋型厄尔尼诺事件和中太平洋型厄尔尼诺事件的目标观测敏感区。通过同化该敏感区的目标观测,显著减小了两类厄尔尼诺事件的预报不确定性,验证了新方法揭示的目标观测敏感区在改进厄尔尼诺预报技巧中具有更加重要的作用。
        Considering the limitation of particle filter–target observation approach, the present study proposes a new target observation approach that can overcome this limitation. This new approach is then applied to the study of the predictability of El Ni?o–Southern Oscillation and reveals the sensitive areas for targeting observation associated with eastern-and central-Pacific El Ni?o events. By assimilating the target observations, the prediction uncertainties for the two types of El Ni?o events are significantly reduced. This result confirms that the sensitive areas revealed by the new approach, compared with other areas, can play a much more important role in improving the El Ni?o forecast skill.
引文
Alexander M A,BladéI,Newman M,et al.2002.The atmospheric bridge:The influence of ENSO teleconnections on air-sea interaction over the global oceans[J].J.Climate,15(16):2205-2231,doi:10.1175/1520-0442(2002)015<2205:TABTIO>2.0.CO;2.
    Baker N L,Daley R.2000.Observation and background adjoint sensitivity in the adaptive observation-targeting problem[J].Quart.J.Roy.Meteor.Soc.,126(565):1431-1454,doi:10.1002/qj.49712656511.
    Bishop C H,Toth Z.1999.Ensemble transformation and adaptive observations[J].J.Atmos.Sci.,56(11):1748-1765,doi:10.1175/1520-0469(1999)056<1748:ETAAO>2.0.CO;2.
    Bishop C H,Etherton B J,Majumdar S J.2001.Adaptive sampling with the ensemble transform Kalman filter.Part I:Theoretical aspects[J].Mon.Wea.Rev.,129(3):420-436,doi:10.1175/1520-0493(2001)129<0420:ASWTET>2.0.CO;2.
    Bjerknes J.1969.Atmospheric teleconnections from the equatorial Pacific[J].Mon.Wea.Rev.,97(3):163-172,doi:10.1175/1520-0493(1969)097<0163:ATFTEP>2.3.CO;2.
    Brankovi??,Molteni F,Palmer T N,et al.1988.Extended range ensemble forecasting at ECMWF[C]//Proceedings of ECMWF Workshop on Predictability in the Medium and Extended Range.Shinfield Park,Reading:ECMWF.
    Cane M A.1983.Oceanographic events during El Ni?o[J].Science,222(4629):1189-1195,doi:10.1126/science.222.4629.1189.
    Chen D,Cane M A.2008.El Ni?o prediction and predictability[J].J.Comput.Phys.,227(7):3625-3640,doi:10.1016/j.jcp.2007.05.014.
    Chen D,Cane M A,Kaplan A,et al.2004.Predictability of El Ni?o over the past 148 years[J].Nature,428(6984):733-736,doi:10.1038/nature02439.
    丑纪范,郜吉东.1995.长期数值天气预报(修订版)[M].北京:气象出版社.Chou J F,Gao J D.1995.Long-Term Numerical Weather Prediction(in Chinese)[M].Beijing:China Meteorological Press.
    Cravatte S,Kessler W S,Smith N,et al.2016.First Report of TPOS 2020[R].GOOS-215,200pp.
    Duan W S,Mu M.2009.Conditional nonlinear optimal perturbation:Applications to stability,sensitivity,and predictability[J].Sci.China Ser.D:Earth Sci.,52(7):883-906.
    Duan W S,Wei C.2013.The‘spring predictability barrier’for ENSOpredictions and its possible mechanism:Results from a fully coupled model[J].Int.J.Climatol.,33(5):1280-1292,doi:10.1002/joc.3513.
    Duan W S,Hu J Y.2016.The initial errors that induce a significant“spring predictability barrier”for El Ni?o events and their implications for target observation:Results from an earth system model[J].Climate Dyn.,46(11-12):3599-3615,doi:10.1007/s00382-015-2789-5.
    Duan W S,Liu X C,Zhu K Y,et al.2009.Exploring the initial errors that cause a significant“spring predictability barrier”for El Ni?o events[J].J.Geophys.Res.,114(C4):C04022,doi:10.1029/2008JC004925.
    Feng J,Chen W,Tam C Y,et al.2011.Different impacts of El Ni?o and El Ni?o Modoki on China rainfall in the decaying phases[J].Int.J.Climatol.,31(14):2091-2101,doi:10.1002/joc.2217.
    Fischer M,Latif M,Flügel M,et al.1997.The impact of data assimilation on ENSO simulations and predictions[J].Mon.Wea.Rev.,125(5):819-830,doi:10.1175/1520-0493(1997)125<0819:TIODAO>2.0.CO;2.
    Ham Y G,Sung M K,An S I,et al.2014.Role of tropical Atlantic SSTvariability as a modulator of El Ni?o teleconnections[J].Asia Pac.J.Atmos.Sci.,50(3):247-261,doi:10.1007/s13143-014-0013-x.
    Hamill T M,Snyder C.2002.Using improved background-error covariances from an ensemble Kalman filter for adaptive observations[J].Mon.Wea.Rev.,130(6):1552-1572,doi:10.1175/1520-0493(2002)130<1552:UIBECF>2.0.CO;2.
    Hendon H H,Lim E,Wang G M,et al.2009.Prospects for predicting two flavors of El Ni?o[J].Geophys.Res.Lett.,36(19):L19713,doi:10.1029/2009GL040100.
    Hoerling M P,Kumar A,Zhong M.1997.El Ni?o,La Ni?a,and the nonlinearity of their teleconnections[J].J.Climate,10(8):1769-1786,doi:10.1175/1520-0442(1997)010<1769:ENOLNA>2.0.CO;2.
    Hu J Y,Duan W S.2016.Relationship between optimal precursory disturbances and optimally growing initial errors associated with ENSOevents:Implications to target observations for ENSO prediction[J].J.Geophys.Res.,121(5):2901-2917,doi:10.1002/2015JC011386.
    Hu Z Z,Kumar A,Jha B,et al.2012.An analysis of warm pool and cold tongue El Ni?os:Air-sea coupling processes,global influences,and recent trends[J].Climate Dyn.,38(9-10):2017-2035,doi:10.1007/s00382-011-1224-9.
    Jeong H I,Lee D Y,Ashok K,et al.2012.Assessment of the APCC coupled MME suite in predicting the distinctive climate impacts of two flavors of ENSO during boreal winter[J].Climate Dyn.,39(1-2):475-493,doi:10.1007/s00382-012-1359-3.
    Jin E K,Kinter III J L,Wang B,et al.2008.Current status of ENSOprediction skill in coupled ocean-atmosphere models[J].Climate Dyn.,31(6):647-664,doi:10.1007/s00382-008-0397-3.
    Kalnay E.2002.Atmospheric Modeling,Data Assimilation and Predictability[M].Cambridge University Press,Cambridge.
    Kao H Y,Yu J Y.2009.Contrasting eastern Pacific and central Pacific types of ENSO[J].J.Climate,22(3):615-632,doi:10.1175/2008JCLI2309.1.
    Kirtman B P,Shukla J,Balmaseda M,et al.2001.Current status of ENSOforecast skill:A report to the CLIVAR working group on seasonal to interannual prediction[R].ICPO Publication No.56.
    Kramer K,Dijkstra H A.2013.Optimal localized observations for advancing beyond the ENSO predictability barrier[J].Nonlinear Process.Geophys.,20(2):221-300,doi:10.5194/npg-20-221-2013.
    Kug J S,Jin F F,An S I.2009.Two types of El Ni?o events:Cold tongue El Ni?o and warm pool El Ni?o[J].J.Climate,22(6):1499-1515,doi:10.1175/2008JCLI2624.1.
    Kug J S,Choi J,An S I,et al.2010.Warm pool and cold tongue El Ni?o events as simulated by the GFDL 2.1 coupled GCM[J].J.Climate,23(5):1226-1239,doi:0.1175/2009JCLI3293.1
    Langland R H,Rohaly G D.1996.Adjoint-based targeting of observations for FASTEX cyclones[R].Monterey,CA:Naval Research Lab.
    Langland R H,Toth Z,Gelaro R,et al.1999.The North Pacific experiment(NORPEX-98):Targeted observations for improved North American weather forecasts[J].Bull.Amer.Meteor.Soc.,80(7):1363-1384,doi:10.1175/1520-0477(1999)080<1363:TNPENT>2.0.CO;2.
    Lorenz E N.1963.Deterministic nonperiodic flow[J].J.Atmos.Sci.,20(2):130-141,doi:10.1175/1520-0469(1963)020<0130:DNF>2.0.CO;2
    Lorenz E N,Emanuel K A,1998.Optimal sites for supplementary weather observations:Simulation with a small model[J].J.Atmos.Sci.,55(3):399-414,doi:10.1175/1520-0469(1998)055<0399:OSFSWO>2.0.CO;2.
    Luo J J,Masson S,Behera S,et al.2003.South Pacific origin of the decadal ENSO-like variation as simulated by a coupled GCM[J].Geophys.Res.Lett.,30(24):2250,doi:10.1029/2003GL018649.
    Luo J J,Masson S,Roeckner E,et al.2005.Reducing climatology bias in an ocean-atmosphere CGCM with improved coupling physics[J].J.Climate,18(13):2344-2360,doi:10.1175/JCLI3404.1.
    Luo J J,Masson S,Behera S K,et al.2008.Extended ENSO predictions using a fully coupled ocean-atmosphere model[J].J Climate,21(1):84-93,doi:10.1175/2007JCLI1412.1.
    Mc Phaden M J,Zebiak S E,Glantz M H.2006.ENSO as an integrating concept in Earth science[J].Science,314(5806):1740-1745,doi:10.1126/science.1132588.
    Moore A M,Kleeman R,1996.The dynamics of error growth and predictability in a coupled model of ENSO[J].Quart.J.Roy.Meteor.Soc.,122(534):1405-1446,doi:10.1002/qj.49712253409.
    Morss R E,Emanuel K A,Snyder C.2001.Idealized adaptive observation strategies for improving numerical weather prediction[J].J.Atmos.Sci.,58(2):210-232,doi:10.1175/1520-0469(2001)058<0210:IAOSFI>2.0.CO;2.
    Mu M.2013.Methods,current status,and prospect of targeted observation[J].Sci.China Earth Sci.,56(12):1997-2005,doi:10.1007/s11430-013-4727-x.
    Mu M,Duan W S,Wang B.2003.Conditional nonlinear optimal perturbation and its applications[J].Nonlinear Process.Geophys.,10(6):493-501,doi:10.5194/npg-10-493-2003.
    Mu M,Duan W S,Wang B.2007a.Season-dependent dynamics of nonlinear optimal error growth and El Ni?o-southern oscillation predictability in a theoretical model[J].J.Geophys.Res.,112(D10):D10113,doi:10.1029/2005JD006981.
    Mu M,Xu H,Duan W S.2007b.A kind of initial errors related to“spring predictability barrier”for El Ni?o events in Zebiak-Cane model[J].Geophys.Res.Lett.,34(3):L03709,doi:10.1029/2006GL027412.
    Mu M,Yu Y S,Xu H,et al.2014.Similarities between optimal precursors for ENSO events and optimally growing initial errors in El Ni?o predictions[J].Theor.Appl.Climatol.,115(3-4):461-469,doi:10.1007/s00704-013-0909-x.
    Palmer T N,Gelaro R,Barkmeijer J,et al.1998.Singular vectors,metrics,and adaptive observations[J].J.Atmos.Sci.,55(4):633-653,doi:10.1175/1520-0469(1998)055<0633:SVMAAO>2.0.CO;2.
    Philander S G H.1983.El Ni?o Southern Oscillation phenomena[J].Nature,302(5906):295-301,doi:10.1038/302295a0.
    Qi Q Q,Duan W S,Zheng F,et al.2017.On the“spring predictability barrier”for strong El Ni?o events as derived from an intermediate coupled model ensemble prediction system[J].Sci.China Earth Sci.,60(9):1614-1631,doi:10.1007/s11430-017-9087-2.
    Rasmusson E M,Wallace J M.1983.Meteorological aspects of the El Ni?o/Southern Oscillation[J].Science,222(4629):1195-1202,doi:10.1126/science.222.4629.1195.
    Riehl H,Haggard W H,Sanborn R W.1956.On the prediction of 24-hour hurricane motion[J].J.Meteor.,13(5):415-420,doi:10.1175/1520-0469(1956)013<0415:OTPOHH>2.0.CO;2.
    Ropelewski C F,Halpert M S.1987.Global and regional scale precipitation patterns associated with the El Ni?o/Southern Oscillation[J].Mon.Wea.Rev.,115(8):1606-1626,doi:10.1175/1520-0493(1987)115<1606:GARSPP>2.0.CO;2
    Schneider T,Griffies S M.1999.A conceptual framework for predictability studies[J].J.Climate,12(10):3133-3155,doi:10.1175/1520-0442(1999)012<3133:ACFFPS>2.0.CO;2.
    Snyder C.1996.Summary of an informal workshop on adaptive observations and FASTEX[J].Bull.Amer.Meteor.Soc.,77:953-961.
    Taschetto A S,England M H.2009.El Ni?o Modoki impacts on Australian rainfall[J].J.Climate,22(11):3167-3174,doi:10.1175/2008JCLI2589.1.
    Tian B,Duan W S.2016.Comparison of the initial errors most likely to cause a spring predictability barrier for two types of El Ni?o events[J].Climate Dyn.,47(3-4):779-792,doi:10.1007/s00382-015-2870-0.
    Toth Z,Kalnay E.1997.Ensemble forecasting at NCEP and the breeding method[J].Mon.Wea.Rev.125(12):3297-3319,doi:10.1175/1520-0493(1997)125<3297:EFANAT>2.0.CO;2.
    Trenberth K E,Branstator G W,Karoly D,et al.1998.Progress during TOGA in understanding and modeling global teleconnections associated with tropical sea surface temperatures[J].J.Geophys.Res.,103(C7):14291-14324,doi:10.1029/97JC01444.
    Van Leeuwen P J.2009.Particle filtering in geophysical systems[J].Mon.Wea.Rev.,137(12):4089-4114,doi:10.1175/2009MWR2835.1.
    Wang C Z,Picaut J.2004.Understanding ENSO physics-A review[M]//Wang C,Xie S P,Carton J A.Earth’s Climate:The Ocean-Atmosphere Interaction.Washington,DC:AGU,doi:10.1029/147GM02.
    Wang C Z,Fiedler P C.2006.ENSO variability and the eastern tropical Pacific:A review[J].Prog.Oceanogr.,69(2-4):239-266,doi:10.1016/j.pocean.2006.03.004.
    Wang C Z,Wang X,2013.Classifying El Ni?o Modoki I and II by different impacts on rainfall in southern China and typhoon tracks[J].J.Climate,26(4):1322-1338,doi:10.1175/JCLI-D-12-00107.1.
    Weng H Y,Ashok K,Behera S K,et al.2007.Impacts of recent El Ni?o Modoki on dry/wet conditions in the Pacific rim during boreal summer[J].Climate Dyn.,29(2-3):113-129,doi:10.1007/s00382-007-0234-0.
    Wu C C,Chen J H,Lin P H,et al.2007.Targeted observations of tropical cyclone movement based on the adjoint-derived sensitivity steering vector[J].J.Atmos.Sci.,64(7):2611-2626,doi:10.1175/JAS3974.1.
    Xiang B Q,Wang B,Li T.2013.A new paradigm for the predominance of standing central Pacific warming after the late 1990s[J].Climate Dyn.,41(2):327-340,doi:10.1007/s00382-012-1427-8.
    Xue Y,Chen M Y,Kumar A,et al.2013.Prediction skill and bias of tropical Pacific sea surface temperatures in the NCEP climate forecast system version2[J].J.Climate,26(15):5358-5378,doi:10.1175/JCLI-D-12-00600.1.
    Yu Y S,Duan W S,Xu H,et al.2009.Dynamics of nonlinear error growth and season-dependent predictability of El Ni?o events in the Zebiak-Cane model[J].Quart.J.Roy.Meteor.Soc.,135(645):2146-2160,doi:10.1002/qj.526.
    Zebiak S E,Cane M A.1987.A model El Ni?o-southern oscillation[J].Mon.Wea.Rev.,115(10):2262-2278,doi:10.1175/1520-0493(1987)115<2262:AMENO>2.0.CO;2.
    Zhang W J,Jin F F,Li J P,et al.2011.Contrasting impacts of two-type El Ni?o over the western North Pacific during boreal autumn[J].J.Meteor.Soc.Japan,89(5):563-569,doi:10.2151/jmsj.2011-510.
    Zhang J,Duan W S,Zhi X F.2015.Using CMIP5 model outputs to investigate the initial errors that cause the“spring predictability barrier”for El Ni?o events[J].Sci.China Earth Sci.,58(5):685-696,doi:10.1007/s11430-014-4994-1.

© 2004-2018 中国地质图书馆版权所有 京ICP备05064691号 京公网安备11010802017129号

地址:北京市海淀区学院路29号 邮编:100083

电话:办公室:(+86 10)66554848;文献借阅、咨询服务、科技查新:66554700