Roles of initial ocean states on predicting the 2002/03 central Pacific El Niño

ZHENG Fei WANG Hui WAN Liying

郑飞, 王慧, 万丽颖. 海洋初始状态对预报2002/03年中太平洋型厄尔尼诺事件的作用[J]. 海洋学报英文版, 2015, 34(12): 72-79. doi: 10.1007/s13131-015-0770-0
引用本文: 郑飞, 王慧, 万丽颖. 海洋初始状态对预报2002/03年中太平洋型厄尔尼诺事件的作用[J]. 海洋学报英文版, 2015, 34(12): 72-79. doi: 10.1007/s13131-015-0770-0
ZHENG Fei, WANG Hui, WAN Liying. Roles of initial ocean states on predicting the 2002/03 central Pacific El Niño[J]. Acta Oceanologica Sinica, 2015, 34(12): 72-79. doi: 10.1007/s13131-015-0770-0
Citation: ZHENG Fei, WANG Hui, WAN Liying. Roles of initial ocean states on predicting the 2002/03 central Pacific El Niño[J]. Acta Oceanologica Sinica, 2015, 34(12): 72-79. doi: 10.1007/s13131-015-0770-0

海洋初始状态对预报2002/03年中太平洋型厄尔尼诺事件的作用

doi: 10.1007/s13131-015-0770-0
基金项目: The National Program for Support of Top-notch Young Professionals; the Project of Global Change and Air-Sea Interaction; the National Basic Research Program (973 Program) of China under contract No. 2012CB417404; the Project "Western Pacific Ocean System:Structure, Dynamics and Consequences" (WPOS) of Chinese Academy Sciences under contract No. XDA10010405.

Roles of initial ocean states on predicting the 2002/03 central Pacific El Niño

  • 摘要: 2002/03年厄尔尼诺事件,是暖海温中心出现在赤道中太平洋区域的一种新型厄尔尼诺,即中太平洋型厄尔尼诺。本文基于一个厄尔尼诺预测系统,利用三组回报试验来详细区分海洋表层和次表层初始状态对预报2002/03年中太平洋型厄尔尼诺事件的作用,并由此来探寻对预报厄尔尼诺演变过程最有利的初始条件。回报试验分为三组:(1)仅同化海表温度观测(sea surface temperature;简称SST)来优化海洋表层初始状态(Assim_SST);(2)仅同化海表高度观测(sea level;简称SL)来更新海洋次表层初始状态(Assim_SL);(3)同时同化SST和SL观测来一起更新海洋表层和次表层初始状态(Assim_SST+SL)。回报试验结果表明,三种不同的初始条件都可以使模式提前一年成功地预报2002/03年厄尔尼诺事件,并且"Assim_SST+SL"回报试验的效果最好。三组回报试验结果间的对比表明:海洋表层和次表层初始状态均对成功地预报该事件有重要作用,但其作用分别集中在事件发展的不同阶段。精确的海洋表层初始状态更容易激发模式预报出一次厄尔尼诺事件,而更合理的海洋次表层初始状态则能有效地提高厄尔尼诺事件预报的强度。
  • Alves O, Balmaseda M, Anderson D, et al. 2004. Sensitivity of dynamical seasonal forecasts to ocean initial conditions. Quar J Roy Meteor Soc, 130(597):647-667
    Ashok K, Yamagata T. 2009. Climate change:The El Niño with a difference.Nature, 461(7263):481-484
    Barnston A G, Tippett M K, L'Heureux M L, et al. 2012. Skill of realtime seasonal ENSO model predictions during 2002-11:Is our capability increasing?. Bull Amer Meteor Soc, 93(5):631-651
    Battisti D S. 1988. Dynamics and thermodynamics of a warming event in a coupled atmosphere-ocean model. J Atmos Sci, 45(20):2889-2919
    Delcroix T, Boulanger J-P, Masia F, et al. 1994. Geosat-derived sea level and surface current anomalies in the equatorial Pacific during the 1986-1989 El-Niño and La-Niña. J Geophys Res, 99(C12):25093-25107
    Duan Wansuo, Tian Ben, Xu Hui. 2014. Simulations of two types of El Niño events by an optimal forcing vector approach. Climate Dyn, 43(5-6):1677-1692
    Duan Wansuo, Zhao Peng. 2015. Revealing the most disturbing tendency error of Zebiak-Cane model associated with El Niño predictions by nonlinear forcing singular vector approach. Climate Dyn, 44(9-10):2351-2367
    Evensen G. 2004. Sampling strategies and square root analysis schemes for the EnKF. Ocean Dyn, 54(6):539-560
    Evensen G. 2009. Data Assimilation:The Ensemble Kalman Filter. 2nd ed. Berlin:Springer
    Hackert E, Ballabrera-Poy J, Busalacchi A J, et al. 2007. Comparison between 1997 and 2002 El Niño events:Role of initial state versus forcing. J Geophys Res, 112(C1):C01005, doi: 10.1029/2006JC003724
    Ji Ming, Leetmaa A. 1997. Impact of data assimilation on ocean initialization and El Niño prediction. Mon Wea Rev, 125(5):742-753
    Ji Ming, Reynolds R W, Behringer D W. 2000. Use of TOPEX/Poseidon sea level data for ocean analyses and ENSO prediction:Some early results. J Climate 13(1):216-231
    Jin E K, Kinter Ⅲ J L, Wang B, et al. 2008. Current status of ENSO prediction skill in coupled ocean-atmosphere models. Climate Dyn, 31(6):647-664
    Kanamitsu M, Ebisuzaki W, Woollen J, et al. 2002. NCEP-DEO AMIPⅡ Reanalysis (R-2). Bull Amer Meteor Soc, 83(11):1631-1643
    Keenlyside N, Kleeman R. 2002. Annual cycle of equatorial zonal currents in the Pacific. J Geophys Res, 107(C8):8-1-8-13, doi: 10.1029/2000JC000711
    Keenlyside N, Latif M, Botzet M, et al. 2005. A coupled method for initializing El Niño Southern Oscillation forecasts using sea surface temperature. Tellus A, 57(3):340-356
    Kirtman B P, Shukla J, Balmaseda M, et al. 2001. Current status of ENSO forecast skill. A report to the Climate Variability and Predictability(CLIVAR) Numerical Experimentation Group (NEG), CLIVAR Working Group on Seasonal to Interannual Prediction.Southampton, UK, International CLIVAR Project Office Latif M, Anderson D, Cane T B, et al. 1998. A review of the predictability and prediction of ENSO. J Geophys Res, 103(C7):14375-14393
    McCreary J P. 1981. A linear stratified ocean model of the equatorial undercurrent. Philosophical Transactions of the Royal Society of London A, 298(1444):603-635
    McPhaden M J. 2004. Evolution of the 2002/03 El Niño. Bull Amer Meteor Soc, 85(5):677-695
    McPhaden M J. 2008. Evolution of the??日???漰?匠潅畬琠桎敩爦渣′伴猱挻楯氺汔慨瑥椠潲湯???潯湦?坩敮慴?剡敳癥??????ㄠぴ????????????扬爠?婩桭慥渠杳?剡潬湥朠桤畹慮??婩散扳椮愠歁?卶?????汣敩攬洠愱渴?刲??木?????割放瑍牣潐獨灡敤捥瑮椠癍攠??氠?乵椠??????漱?昹漹爮攠捅慱獵瑡獴?畲獩楡湬朠?慡湶?楳洠灡牮潤瘠整摨?椠渱琹改爷洭改搸椠慅瑬攠?捩漦産瀲水攱搻?洮漠摇敥汯???潳渠?坥敳愠?剥整癴?????????有????有??名?扢牲?婍档敐湨条??敮椠???愬渠杚?塢楩慡湫朠桓甠楅??奇畬??楴湺礠楍??攮琠′愰氰??㈠ぅ?????獳礠浡浮攠瑩牮祴?潧晲?瑴桩敮??橣敯牮正湥数獴?灩潮猠楥瑡楲癴敨?晳散敩摥扮慣捥欮?打散瑩睥敮散湥?琠栳攱?琨眵漸‰琶礩瀺攱猷?漰昭??水‵丼楢??????潩??敊漠灄栬礠獂?剴整獩??敩琠瑄???ㄠ???????????????扬爮?娱根改游朮??敎楓??婴桨略??楹愮渠杊???はば????慒汥慳測挠攱搰″洨畃氷琩椺瘱愴爲椶愱琭攱?洲漹搰攮氼?敲爾牐潡牬獭?潲映?愠湎?椠渲琰攰爱洮攠摁椠慮瑯敮?捩潮略灡汲攠摤?浮潡摭敩汣?晬漠牰?敲湳獰敥浣扴汩敶??慯汮洠慭湯?晥楬氠瑥敲牲?摲愺瑁愠?慲獯獰楯浳楡汬愠瑦楯潲渠?????敯潣灡桬礠獳?副散獨???????????ど??ば???摭潥楴??ぺ??ど????の????ぴと??㈠??扤爠?婬桩敭湡杴??数楲??婩档畴??楮愠湭杯???び?????潲甠灊氠敒摯?愠獍獥楴浥楯汲愠瑓楯潣測?昱漲爷?愵渷′椩渺琲攷爹洭攳搰椴愼瑢敲搾?捩潣畡灵汴攠摊??么卡佣?灥牲整搠楅挬琠楂潵湳?浬潡摣散汨??佁挠敊愬渠??礠湡????????ㄠき????の???扳爠?婦栠整湨来??改椹??娱根甹??楅慬渠李?…㈣???愻??剌潡氠敎獩…漣昲?椱渻楡琬椠慡汳?潩据敦慥湲?獥畤爠晦慲捯敭?慳湰摡?獥甭扢獡畳牥晤愠捯敢?獥瑲慶瑡整獩?潮湳?獊甠捇捥敯獰獨晹畳氠汒祥?瀬爠攱搰椷挨瑃椵温机‵木????㈱?????氺?丰椮??有???漰‰眱楊瑃栰‰愰游‵椰渼瑢敲爾浐敩摣楡慵瑴攠?挬漠畔灯汵敲摮?浥潲搠敒氮??伹挹攱愮渠?卯据楩??????????????搹漭椱?????????潯獲?????????ど???扵牲?婥桮整渠杴??敮楳??婲桴畳??楩慴湨朠???づ??扡??佥戠獢敡牴癨敹摴?獥灲汭楯瑧瑲楡湰杨?敤慡獴瑡戮漠畊渠摇?灯牰潨灹慳朠慒瑥楳漬渠?漶昨?猰由戩猺申爲昶愳挭攳′眷愷爼浢?眾慓瑡敫牯?漬瘠敐爬?瑏桫敥?敐焠畒愮琠漲爰椰愸氮?偉慭捰楬晩楣捡?楩湯?敳愠牯汦礠??づㄠ???卭挠楯??畴汨汥???び?????????????摲潭楡??は?ㄠどの??獨?ㄠ????ね??????????戠牲?婯桴攠湦杩??敥楲??娠桍畯??楗慥湡朠??婶栬愠渱朳?刨漳温机栱田愴??㈱??????派灓慣捨瑯?潦映?愠汓琬椠浓敵瑡牲祥?搠慍琠慊?漠渱??丸匮传?敡湣獩敬浬扡汴敩?楮湳椠瑩楮愠污椠穣慯瑵楰潬湥獤?慯湣摥?灮爭敡摴業捯瑳楰潨湥獲???敯潤灥桬礮猠?删敁獴??敳琠瑓?????????????????搼潢楲??ね??と㈠????????の?ぬ??ㄠ?戠牗?娠桐敥湴来??敯楮??娠桃甬??楴愠湡杬??娲栰愰游朮?剉潭湰杲桯當慥??敮瑴?愠汴???くぁ????湨獩敳浴扯汲敩?桡楬渠摭捥慲獧瑥獤?潬晡?卤匭呯?慥湡潮洠慳汵楲敦獡?楥渠?瑥桭数?瑲牡潴灵楲捥愠污?偡慬捹楳晩楳挠?由猸椸渰札′愰渰?椩渮琠敊爠浃敬摩業慡瑴敥?挠漲由瀨氱攰搩?洲漲搸攳氭?′?收漼灢桲社獙?剮敧猠??敵瑣瑨?????????????????摋潥楰??の???至??有?????ご??????扡牣?娠桯畦??楣敥獡桮甠湤???甠慡湳杳??潩桬畡慴???愠牯确????敳瑯?慡汬?????????湡獮敮浵扡汬攠??乲卥佣?桳楴湳携捁愠獣瑡獳?椠湳楴瑵楤慹氠楯穦攠摴?晥爠漲洰‰洶甠汅瑬椠灎汩攦?漲挴攱愻湯?慥湶慥汮祴献攠獊???敩潭灡桴祥猬?刲攳猨??攩琺琴?????????ぢ??す???摩潮楹?????は㈠????ㄠ有????ㄠ?づ?adal changes of ENSO persistence barrier in SST and ocean heat content indices:1958-2001. J Geophys Res, 112(D13):D13106, doi: 10.1029/2006JD007654
    Yu Jinyi, Kao H-Y, Lee Tong. 2010. Subtropics-related interannual sea surface temperature variability in the central equatorial Pacific.J Climate, 23(11):2869-2884
    Zebiak S E, Cane M A. 1987. A model El Ni
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  • 收稿日期:  2015-01-02
  • 修回日期:  2015-04-08

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