1. Target observations for improving initialization of high-impact ocean-atmospheric environmental events forecasting
    Mu, M., Duan, W., Chen, D., & Yu, W.. National Science Review: 2015 ,2(02) ,226-236 摘要  下载全文
  2. A new application of conditional nonlinear optimal perturbation approach to boundary condition uncertainty
    Wang, Q., and M. Mu. J. Geophys. Res. Oceans: 2015 ,120(12) ,7979-7996 摘要  下载全文
  3. The impact of global warming on kuroshio extension and its southern recirculation using cmip5 experiments with a high-resolution climate model miroc4h
    Zhang, X., Wang, Q., & Mu, M.. Theoretical & Applied Climatology: 2015 摘要  下载全文
  4. Influence of positive and negative Indian Ocean dipoles on ENSO via the Indonesian Throughflow: Results from sensitivity experiments
    Zhou, Q., W. S. Duan, M. Mu, and R. Feng. Adv. Atmos. Sci.: 2015 ,32(6) ,783–793 摘要  下载全文
  5. 基于CNOP方法的台风目标观测研究进展
    穆穆,周菲凡. 气象科技进展: 2015 ,5(3) ,6-17 摘要  下载全文
  6. A preliminary application of conditional nonlinear optimal perturbation to adaptive observation(in Chinese)
    Mu Mu , Wang Hongli, Zhou Feifan. Chinese J. Atmos. Sci.: 2007 ,31 ,1102-1112 下载全文
  7. Conditional nonlinear optimal perturbations of a two-dimensional quasigeostrophic model
    Mu Mu, Zhang Zhiyue. Journal of the Atmospheric Sciences: 2006 ,63 ,1587-1604 摘要  下载全文
  8. Investigating decadal variability of El Nino Southern Oscillation asymmetry by conditional nonlinear optimal perturbation
    [66] Duan Wansuo, Mu Mu. Journal of Geophysical Research: 2006 ,111 ,C07015, doi:10.1029/2005JC003458 摘要  下载全文
  9. The effects of the model errors generated by discretization of “on-off” processes on VDA
    Zheng Qin and Mu Mu. Nonlinear Process in Geophysics: 2006 ,13 ,309-320 摘要  下载全文
  10. Applications of conditional nonlinear optimal perturbation in predictability and sensitivity analysis of weather and climate
    Mu Mu , Duan Wansuo, Xu Hui, Wang Bo. Advance in Atmospheric Sciences: 2006 ,23(6) ,992-1002 下载全文
  11. Advance and prospect of the studies of El Nino predictability by nonlinear optimization method(in Chinese)
    Duan Wansuo, Mu Mu. Chinese J. Atmos. Sci.: 2006 ,30 ,759-766 摘要  下载全文
  12. Initial condition and parameter estimation in physical “On-Off” processes by variational data assimilation
    Jiafeng Wang, Mu Mu and Qin Zheng. Tellus: 2005 ,57A ,736-741 摘要  下载全文
  13. Zigzag oscillations in variational data assimilation with physics “On-off” processes
    Mu Mu and Qin Zheng. Mon. Wea. Rev.: 2005 ,133 ,2711-2720 摘要  下载全文
  14. Passive mechanism of decadal variation of thermohaline circulation
    Sun Liang, Mu Mu , Dejun Sun, and Xieyuan Yin. Journal of Geophysical Research-Ocean: 2005 ,110 ,C07025, doi:10.1029/2005JC002897 摘要  下载全文
  15. Applications of nonlinear optimization method to numerical studies of atmospheric and oceanic sciences
    Duan Wansuo, Mu Mu. Applied Mathematics and Mechanics: 2005 ,26 ,636-646 下载全文
  16. Applications of nonlinear optimization methods to quantifying the predictability of a numerical model for El Nino-Southern Oscillation
    Duan Wansuo, Mu Mu. Progress in Natural Science: 2005 ,15(10) ,915-921 下载全文
  17. Conditional nonlinear optimal perturbation and its applications in weather and climate predictability
    Mu Mu , Duan Wansuo. Chinese Sci. Bull.: 2005 ,50(21) ,2401-2407,DOI: 10.1360/982005-426 摘要  下载全文
  18. Target observations for improving initialization of high-impact ocean-atmospheric environmental events forecasting
    Mu Mu , Wansuo Duan , Dake Chen and Weidong Yu. National Science Review: 2015 ,2 ,226-236,doi: 10.1093/nsr/nwv021 摘要  下载全文
  19. Role of Parameter Errors in the Spring Predictability Barrier for ENSO Events in the Zebiak–Cane Model
    Yu, L., M. Mu, and Y. S. Yu. Adv. Atmos. Sci.: 2014 ,31(3) ,647–656 摘要  下载全文
  20. Can Adaptive Observations Improve Tropical Cyclone Intensity Forecasts?
    QIN Xiaohao and Mu Mu. ADVANCES IN ATMOSPHERIC SCIENCES: 2014 ,31 ,252-262 摘要  下载全文
  21. Intrinsic low-frequency variability and predictability of the Kuroshio Current and of its extension
    Stefano Pierini, Henk A. Dijkstra and Mu Mu. Advances in Oceanography and Limnology: 2014 ,5/2 ,79-122 摘要  下载全文
  22. The analyses of the net primary production due to regional and seasonal temperature differences in eastern China using the LPJ model
    Guodong Sun , Mu Mu. Ecological Modelling: 2014 ,289 ,66-76 摘要  下载全文
  23. The ‘‘winter predictability barrier’’ for IOD events and its error growth dynamics: Results from a fully coupled GCM
    Feng, R., W. Duan , and M. Mu. J. Geophys. Res. Oceans: 2014 ,119 ,doi:10.1002/2014JC010473 摘要  下载全文
  24. Study on the “winter persistence barrier”of Indian Ocean dipole events using observation data and CMIP5 model outputs
    Rong Feng , Mu Mu ,Wansuo Duan. Theor . Appl. Climatol.: 2014 ,118/3 ,523-534 下载全文
  25. Similarities between optimal precursors for ENSO events and optimally growing initial errors in El Niño predictions
    Mu Mu , Yanshan Yu , Hui Xu and Tingting Gong. Theor.Appl.Climatol.: 2014 ,115/3-4 ,461-469 摘要  下载全文
  26. Application of Conditional Nonlinear Optimal Perturbation to Targeted Observation Studies of the Atmosphere and Ocean
    Mu Mu , Wang Qiang , Duan Wansuo , Jiang zhina. Journal of Meteorological Research: 2014 ,28/5 ,923-933 下载全文
  27. Responses of the ocean planktonic ecosystem to finite-amplitude perturbations,
    Qiang Wang and Mu Mu. J. Geophys. Res. Oceans: 2014 ,119 摘要  下载全文