An Effective Method for Correcting the Seasonal-Interannual Prediction of Summer Climate Anomaly

Wang Huijun; Zhou Guangqing; Zhao Yan

doi:10.1007/s00376-000-0006-9

Impact Factor: 3.9

Volume 17 Issue 2

Apr. 2000

Article Contents

Article > ADVANCES IN ATMOSPHERIC SCIENCES > 2000 > 17(2): 234-240

An Effective Method for Correcting the Seasonal-Interannual Prediction of Summer Climate Anomaly

1.
Laboratory for Numerical Modeling of Atmospheric Science and Geophysical Fluid Dynamics ( LASG), Institute of Atmospheric Physics, Chinese Academy of Sciences,Laboratory for Numerical Modeling of Atmospheric Science and Geophysical Fluid Dynamics ( LASG), Institute of Atmospheric Physics, Chinese Academy of Sciences,Laboratory for Numerical Modeling of Atmospheric Science and Geophysical Fluid Dynamics ( LASG), Institute of Atmospheric Physics, Chinese Academy of Sciences

doi: 10.1007/s00376-000-0006-9

Abstract
References
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Abstract:
An effective method was proposed for correcting the seasonal-interannual prediction of the summer climate anomaly. The predictive skill can be substantially improved by applying the method to the seasonal-interannual prediction carried out by a coupled ocean-atmosphere model. Thus the method has the potential to improve the operational summer climate predictions.
- Correction,
- Seasonal-interaonual prediction. Quasi-biennial signal
References

[1]	CHEN Hong, LIN Zhaohui, 2006: A Correction Method Suitable for Dynamical Seasonal Prediction, ADVANCES IN ATMOSPHERIC SCIENCES, 23, 425-430. doi: 10.1007/s00376-006-0425-3
[2]	CUI Limei, SUN Jianhua, QI Linlin, LEI Ting, 2011: Application of ATOVS Radiance-Bias Correction to Typhoon Track Prediction with Ensemble Kalman Filter Data Assimilation, ADVANCES IN ATMOSPHERIC SCIENCES, 28, 178-186. doi: 10.1007/s00376-010-9145-9
[3]	XUE Hai-Le, SHEN Xue-Shun, CHOU Ji-Fan, 2013: A Forecast Error Correction Method in Numerical Weather Prediction by Using Recent Multiple-time Evolution Data, ADVANCES IN ATMOSPHERIC SCIENCES, 30, 1249-1259. doi: 10.1007/s00376-013-2274-1
[4]	REN Zhihua, LI Mingqin, 2007: Errors and Correction of Precipitation Measurements in China, ADVANCES IN ATMOSPHERIC SCIENCES, 24, 449-458. doi: 10.1007/s00376-007-0449-3
[5]	CHEN Yuejuan, SHI Chunhua, ZHENG Bin, 2005: HCl Quasi-Biennial Oscillation in the Stratosphere and a Comparison with Ozone QBO, ADVANCES IN ATMOSPHERIC SCIENCES, 22, 751-758. doi: 10.1007/BF02918718
[6]	Shao Yongning, Chen Longxun, 1991: On Quasi-Biennial Oscillation in Air-Sea System, ADVANCES IN ATMOSPHERIC SCIENCES, 8, 11-22. doi: 10.1007/BF02657361
[7]	XUE Haile, SHEN Xueshun, CHOU Jifan, 2015: An Online Model Correction Method Based on an Inverse Problem: Part II——Systematic Model Error Correction, ADVANCES IN ATMOSPHERIC SCIENCES, 32, 1493-1503. doi: 10.1007/s00376-015-4262-0
[8]	Chen Yuejuan, Zheng Bin, Zhang Hong, 2002: The Features of Ozone Quasi-Biennial Oscillation in Tropical Stratosphere and Its Numerical Simulation, ADVANCES IN ATMOSPHERIC SCIENCES, 19, 777-793. doi: 10.1007/s00376-002-0044-6
[9]	CHENG Xinghong, SU Debin, LI Deping, CHEN Lu, XU Wenjing, YANG Meilin, LI Yongcheng, YUE Zhizhong, WANG Zijing, 2014: An Improved Method for Correction of Air Temperature Measured Using Different Radiation Shields, ADVANCES IN ATMOSPHERIC SCIENCES, 31, 1460-1468. doi: 10.1007/s00376-014-3129-0
[10]	Xiaoxu TIAN, Xiaolei ZOU, Shengpeng YANG, 2018: A Limb Correction Method for the Microwave Temperature Sounder 2 and Its Applications, ADVANCES IN ATMOSPHERIC SCIENCES, 35, 1547-1552. doi: 10.1007/s00376-018-8092-8
[11]	Bohua Huang, James L. Kinter III, Paul S. Schopf, 2002: Ocean Data Assimilation Using Intermittent Analyses and Continuous Model Error Correction, ADVANCES IN ATMOSPHERIC SCIENCES, 19, 965-992. doi: 10.1007/s00376-002-0059-z
[12]	Lei HAN, Mingxuan CHEN, Kangkai CHEN, Haonan CHEN, Yanbiao ZHANG, Bing LU, Linye SONG, Rui QIN, 2021: A Deep Learning Method for Bias Correction of ECMWF 24–240 h Forecasts, ADVANCES IN ATMOSPHERIC SCIENCES, 38, 1444-1459. doi: 10.1007/s00376-021-0215-y
[13]	Pavla PEKAROVA, Jan PEKAR, 2007: Teleconnections of Inter-Annual Streamflow Fluctuation in Slovakia with Arctic Oscillation, North Atlantic Oscillation, Southern Oscillation, and Quasi-Biennial Oscillation Phenomena, ADVANCES IN ATMOSPHERIC SCIENCES, 24, 655-663. doi: 10.1007/s00376-007-0655-z
[14]	Banglin ZHANG, Vijay TALLAPRAGADA, Fuzhong WENG, Jason SIPPEL, Zaizhong MA, 2016: Estimation and Correction of Model Bias in the NASA/GMAO GEOS5 Data Assimilation System: Sequential Implementation, ADVANCES IN ATMOSPHERIC SCIENCES, 33, 659-672. doi: 10.1007/ s00376-015-5155-y
[15]	XUE Haile, SHEN Xueshun, CHOU Jifan, 2015: An Online Model Correction Method Based on an Inverse Problem: Part I——Model Error Estimation by Iteration, ADVANCES IN ATMOSPHERIC SCIENCES, 32, 1329-1340. doi: 10.1007/s00376-015-4261-1
[16]	Su-Bin OH, Yeon-Hee KIM, Ki-Hoon KIM, Chun-Ho CHO, Eunha LIM, 2016: Verification and Correction of Cloud Base and Top Height Retrievals from Ka-band Cloud Radar in Boseong, Korea, ADVANCES IN ATMOSPHERIC SCIENCES, 33, 73-84. doi: 10.1007/s00376-015-5058-y
[17]	Sang Seo PARK, Yeonjin JUNG, Yun Gon LEE, 2016: Spectral Dependence on the Correction Factor of Erythemal UV for Cloud, Aerosol, Total Ozone, and Surface Properties: A Modeling Study, ADVANCES IN ATMOSPHERIC SCIENCES, 33, 865-874. doi: 10.1007/s00376-016-5201-4
[18]	Hongli LI, Xiangde XU, 2017: Application of a Three-dimensional Variational Method for Radar Reflectivity Data Correction in a Mudslide-inducing Rainstorm Simulation, ADVANCES IN ATMOSPHERIC SCIENCES, 34, 469-481. doi: 10.1007/s00376-016-6010-5
[19]	Chenwei SHEN, Qingyun DUAN, Chiyuan MIAO, Chang XING, Xuewei FAN, Yi WU, Jingya HAN, 2020: Bias Correction and Ensemble Projections of Temperature Changes over Ten Subregions in CORDEX East Asia, ADVANCES IN ATMOSPHERIC SCIENCES, 37, 1191-1210. doi: 10.1007/s00376-020-0026-6
[20]	Yun QIAN, TC CHAKRABORTY, Jianfeng LI, Dan LI, Cenlin HE, Chandan SARANGI, Fei CHEN, Xuchao YANG, L. Ruby LEUNG, 2023: Correction to: Urbanization Impact on Regional Climate and Extreme Weather: Current Understanding, Uncertainties, and Future Research Directions, ADVANCES IN ATMOSPHERIC SCIENCES, 40, 333-333. doi: 10.1007/s00376-022-2007-4

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Manuscript History

Manuscript received: 10 April 2000

Manuscript revised: 10 April 2000

通讯作者: 陈斌, bchen63@163.com

1.
沈阳化工大学材料科学与工程学院沈阳 110142

An Effective Method for Correcting the Seasonal-Interannual Prediction of Summer Climate Anomaly

1. Laboratory for Numerical Modeling of Atmospheric Science and Geophysical Fluid Dynamics ( LASG), Institute of Atmospheric Physics, Chinese Academy of Sciences,Laboratory for Numerical Modeling of Atmospheric Science and Geophysical Fluid Dynamics ( LASG), Institute of Atmospheric Physics, Chinese Academy of Sciences,Laboratory for Numerical Modeling of Atmospheric Science and Geophysical Fluid Dynamics ( LASG), Institute of Atmospheric Physics, Chinese Academy of Sciences

Manuscript received: 2000-04-10
Manuscript revised: 2000-04-10

Abstract: An effective method was proposed for correcting the seasonal-interannual prediction of the summer climate anomaly. The predictive skill can be substantially improved by applying the method to the seasonal-interannual prediction carried out by a coupled ocean-atmosphere model. Thus the method has the potential to improve the operational summer climate predictions.

Keywords: