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学术论文

1.
  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.
  1. 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.
  1. 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.
  1. 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.
  1. 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.
  1. 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.
  1. 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.
  1. 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.
  1. 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.
  1. 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.
  1. 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.
  1. 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.
  1. 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.
  1. 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.
  1. 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.
  1. 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.
  1. 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.
  1. 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.
  1. 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.
  1. 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.
  1. 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.
  1. 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.
  1. 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.
  1. 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.
  1. 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.
  1. 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.

  1. Responses of the ocean planktonic ecosystem to finite-amplitude perturbations,
 
  1. Qiang Wang and Mu Mu. J. Geophys. Res. Oceans: 2014 ,119 摘要  下载全文