Barkmeijer J.,T. Iversen, and T. N. Palmer, 2003: Forcing singular vectors and other sensitive model structures.Quart. J. Roy. Meteor. Soc., 129 2401-2423,
Brennan M. J.,S. J. Majumdar, 2011: An examination of model track forecast errors for Hurricane Ike (2008) in the Gulf of Mexico.Wea. Forecasting, 26 848-867,
Butler S. T.,K. A. Small, 1963: The excitation of atmospheric oscillations.Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences 274, 91-121,
Carr, L. E., III, R. L. Elsberry, 2000a: Dynamical tropical cyclone track forecast errors. Part I: Tropical region error sources. Wea. Forecasting, 15, 641-661,<0641:DTCTFE>2.0.CO;2
Carr, L. E., III, R. L. Elsberry, 2000b: Dynamical tropical cyclone track forecast errors. Part II: Midlatitude circulation influences. Wea. Forecasting, 15, 662-681,<0662:DTCTFE>2.0.CO;2
Chan J. C. L.,2010: Movement of tropical cyclones.Global Perspectives on Tropical Cyclones, J. C. L. Chan and J. D. Kepert Eds., World Science, Singapore, 133-148,
Chapman S.,R. S. Lindzen, 1970: Atmospheric Tides: Thermal and Gravitational, Gordon and Breach, New York.,
Dai, Y. J.,Coauthors, 2003: The common land model.Bull. Amer. Meteor. Soc., 84 1013-1023,
Duan W. S.,F. F. Zhou, 2013: Non-linear forcing singular vector of a two-dimensional quasi-geostrophic model.Tellus A: Dynamic Meteorology and Oceanography, 65 18452,
Duan W. S.,P. Zhao, 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 2351-2367,
Duan W. S.,P. Zhao, J. Y. Hu, and H. Xu, 2016: The role of nonlinear forcing singular vector tendency error in causing the "spring predictability barrier" for ENSO.Journal of Meteorological Research, 30 853-866,
Galarneau T. J., Jr., andC. A. Davis, 2013: Diagnosing forecast errors in tropical cyclone motion.Mon. Wea. Rev., 141 405-430,
Green B. W.,F. Q. Zhang, 2014: Sensitivity of tropical cyclone simulations to parametric uncertainties in air-sea fluxes and implications for parameter estimation.Mon. Wea. Rev., 142 2290-2308,
Han J.,H. L. Pan, 2011: Revision of convection and vertical diffusion schemes in the NCEP global forecast system.Wea. Forecasting, 26 520-533,
Hong S. Y.,H. L. Pan, 1996: Nonlocal boundary layer vertical diffusion in a medium-range forecast model. Mon. Wea. Rev., 124, 2322-2339,<2322:NBLVDI>2.0.CO;2
Hong S. Y.,J. O. J. Lim, 2006: The WRF single-moment 6-class microphysics scheme (WSM6). Journal of the Korean Meteorological Society, , 42, 129- 151.
Hotta D.,M. Higaki, E. Lynch, H. van den Dool, and E. Kalnay, 2013: Atmospheric tides as a proxy to diagnose parameterization errors.4th WGNE Workshop on Systematic Erros in Weather and Climate Models, Exeter, UK, April 2013. [ Available Online from],
Iacono M. J.,J. S. Delamere, E. J. Mlawer, M. W. Shephard, S. A. Clough, and W. D. Collins, 2008: Radiative forcing by long-lived greenhouse gases: Calculations with the AER radiative transfer models.J. Geophys. Res., 113 D13103,
Kehoe R. M.,M. A. Boothe, and R. L. Elsberry, 2007: Dynamical tropical cyclone 96- and 120-h track forecast errors in the Western North Pacific.Wea. Forecasting, 22 520-538,
Kepert J. D.,2012: Choosing a boundary layer parameterization for tropical cyclone modeling.Mon. Wea. Rev., 140 1427-1445,
Komaromi W. A.,S. J. Majumdar, and E. D. Rappin, 2011: Diagnosing initial condition sensitivity of Typhoon Sinlaku (2008) and Hurricane Ike (2008).Mon. Wea. Rev., 139 3224-3242,
Lindzen R. S.,1978: Effect of daily variations of cumulonimbus activity on the atmospheric semidiurnal tide. Mon. Wea. Rev., 106, 526-533,<0526:EODVOC>2.0.CO;2
McTaggart-Cowan R.,L. F. Bosart, J. R. Gyakum, and E. H. Atallah, 2006: Hurricane Juan (2003). Part II: Forecasting and numerical simulation. Mon. Wea. Rev., 134, 1748-1771,
Miglietta M. M.,D. Mastrangelo, and D. Conte, 2015: Influence of physics parameterization schemes on the simulation of a tropical-like cyclone in the Mediterranean Sea.Atmospheric Research, 153, 360-375,
Moore A. M.,R. Kleeman, 1999: Stochastic forcing of ENSO by the intraseasonal oscillation. J. Climate, 12, 1199-1220,<1199:SFOEBT>2.0.CO;2
Mu M.,W. S. Duan, and B. Wang, 2003: Conditional nonlinear optimal perturbation and its applications.Nonlinear Processes in Geophysics, 10, 493-501,
Roads J. O.,1987: Predictability in the extended range. J. Atmos. Sci., 44, 3495-3527,<3495:PITER>2.0.CO;2
Sakazaki T.,K. Hamilton, 2017: Physical processes controlling the tide in the tropical lower atmosphere investigated using a comprehensive numerical model.J. Atmos. Sci., 74 2467-2487,
Sun G. D.,M. Mu, 2017: A new approach to identify the sensitivity and importance of physical parameters combination within numerical models using the Lund-Potsdam-Jena (LPJ) model as an example.Theor. Appl. Climatol., 128 587-601,
Swart N. C.,J. C. Fyfe, 2012: Observed and simulated changes in the Southern Hemisphere surface westerly wind-stress.Geophys. Res. Lett., 39 L16711,
Woolnough S. J., J. M. Slingo, B. J. Hoskins, 2004: The diurnal cycle of convection and atmospheric tides in an aquaplanet GCM.J. Atmos. Sci., 61 2559-2573,
Yamaguchi M.,T. Nakazawa, and K. Aonashi, 2012: Tropical cyclone track forecasts using JMA model with ECMWF and JMA initial conditions.Geophys. Res. Lett., 39 L09801,
Ying M.,W. Zhang, H. Yu, X. Q. Lu, J. X. Feng, Y. X. Fan, Y. T. Zhu, and D. Q. Chen, 2014: An overview of the China Meteorological Administration tropical cyclone database.J. Atmos. Oceanic Technol., 31 287-301,
Zhou F. F.,M. Yamaguchi, and X. H. Qin, 2016: Possible sources of forecast errors generated by the Global/Regional Assimilation and Prediction System for landfalling tropical cyclones.Part I: Initial uncertainties. Adv. Atmos. Sci., 33(6), 841-851.