Aberson S. D.,1998: Five-day tropical cyclone track forecasts in the North Atlantic basin. Wea. Forecasting, 13, 1005-1015, https://doi.org/10.1175/1520-0434(1998)013<1005:FDTCTF>2.0.CO;2
Aberson S. D.,C. R. Sampson, 2003: On the predictability of tropical cyclone tracks in the Northwest Pacific basin. Mon. Wea. Rev., 131, 1491-1497, https://doi.org/10.1175/1520-0493(2003)131<1491:OTPOTC>2.0.CO;2
Aiyyer A.,2015: Recurving western North Pacific tropical cyclones and midlatitude predictability. Geophys. Res. Lett., 42, 7799-7807, https://doi.org/10.1002/2015GL065082
Arpe K.,E. Klinker, 1986: Systematic errors of the ECMWF operational forecasting model in mid-latitudes. Quart. J. Roy. Meteor. Soc., 112, 181-202, https://doi.org/10.1002/qj.49711247111
Bender M. A.,R. J. Ross, R. E. Tuleya, and Y. Kurihara, 1993: Improvements in tropical cyclone track and intensity forecasts using the GFDL initialization system. Mon. Wea. Rev., 121, 2046-2061, https://doi.org/10.1175/1520-0493(1993)121<2046:IITCTA>2.0.CO;2
Camargo S. J.,A. H. Sobel, 2005: Western North Pacific tropical cyclone intensity and ENSO. J. Climate, 18, 2996-3006, https://doi.org/10.1175/JCLI3457.1
Camargo S. J.,K. A. Emanuel, and A. H. Sobel, 2007: Use of a genesis potential index to diagnose ENSO effects on tropical cyclone genesis. J. Climate, 20, 4819-4834, https://doi.org/10.1175/JCLI4282.1
Chan J. C. L.,2005: Interannual and interdecadal variations of tropical cyclone activity over the western North Pacific. Meteor. Atmos. Phys., 89, 143-152, https://doi.org/10.1007/s00703-005-0126-y
Chan J. C. L.,W. M. Gray, 1982: Tropical cyclone movement and surrounding flow relationships. Mon. Wea. Rev., 110, 1354-1374, https://doi.org/10.1175/1520-0493(1982)110<1354:TCMASF>2.0.CO;2
Chen B. H.,J. P. Li, and R. Q. Ding, 2006: Nonlinear local Lyapunov exponent and atmospheric predictability research. Science in China Series D: Earth Sciences, 49, 1111-1120, https://doi.org/10.1007/s11430-006-1111-0
Dalcher A.,E. Kalnay, 1987: Error growth and predictability in operational ECMWF forecasts. Tellus A, 39, 474-491, https://doi.org/10.3402/tellusa.v39i5.11774
Ding R. Q.,J. P. Li, 2007: Nonlinear finite-time Lyapunov exponent and predictability. Physics Letters A, 364, 396-400, https://doi.org/10.1016/j.physleta.2006.11.094
Ding R. Q.,J. P. Li, 2009a: Decadal and seasonal dependence of North Pacific sea surface temperature persistence. J. Geophys. Res.,114, https://doi.org/10.1029/2008JD010723
Ding R. Q.,J. P. Li, 2009b: Long-Term trend and decadal variability of persistence of daily 500-mb geopotential height anomalies during boreal winter. Mon. Wea. Rev., 137, 3519-3534, https://doi.org/10.1175/2009MWR2841.1
Ding R. Q.,J. P. Li, 2012: Relationships between the limit of predictability and initial error in the uncoupled and coupled lorenz models. Adv. Atmos. Sci., 29, 1078-1088, https://doi.org/10.1007/s00376-012-1207-8
Ding R. Q.,G. L. Feng, S. D. Liu, S. K. Liu, S. X. Huang, and Z. T. Fu, 2007: Nonlinear atmospheric and climate dynamics in China (2003-2006): A review. Adv. Atmos. Sci., 24, 1077-1085, https://doi.org/10.1007/s00376-007-1077-7
Ding R. Q.,J. P. Li, and K. H. Seo, 2010: Predictability of the madden-julian oscillation estimated using observational data. Mon. Wea. Rev., 138, 1004-1013, https://doi.org/10.1175/2009MWR3082.1
Ding R. Q.,J. P. Li, F. Zheng, J. Feng, and D. Q. Liu, 2016: Estimating the limit of decadal-scale climate predictability using observational data. Climate Dyn., 46, 1563-1580, https://doi.org/10.1007/s00382-015-2662-6
Elsberry R. L.,2007: Advances in tropical cyclone motion prediction and recommendations for the future. WMO Bull., 56, 131- 134.1f6c396c8a4d964f53eac676045b3e7chttp%3A%2F%2Fwww.researchgate.net%2Fpublication%2F281245163_Advances_in_tropical_cyclone_motion_prediction_and_recommendations_for_the_futurehttp://www.researchgate.net/publication/281245163_Advances_in_tropical_cyclone_motion_prediction_and_recommendations_for_the_futurereact-text: 424 A situation-dependent intensity prediction (SDIP) technique is developed for western North Pacific tropical cyclones that is based on the average of the intensity changes from the 10 best historical track analogs to the Joint Typhoon Warning Center best-tracks. The selection of the 10 best track analogs is also conditioned on the current intensity, and it is demonstrated that for a subsample... /react-text react-text: 425 /react-text [Show full abstract]
Elsberry R. L.,2014: Advances in research and forecasting of tropical cyclones from 1963-2013. Asia-Pacific Journal of Atmospheric Sciences, 50, 3-16, https://doi.org/10.1007/s13143-014-0001-1
Elsberry R. L.,J. E. Peak, 1986: An evaluation of tropical cyclone forecast aids based on cross-track and along-track components. Mon. Wea. Rev., 114, 147-155, https://doi.org/10.1175/1520-0493(1986)114<0147:AEOTCF>2.0.CO;2
Elsberry R. L.,M. S. Jordan, and F. Vitart, 2010: Predictability of tropical cyclone events on intraseasonal timescales with the ECMWF monthly forecast model. Asia-Pacific Journal of Atmospheric Sciences, 46, 135-153, https://doi.org/10.1007/s13143-010-0013-4
Fiorino M.,2009: Record-setting performance of the ECMWF IFS in medium-range tropical cyclone track prediction. ECMWF Newsletter, 118, 20- 27.
Fraedrich K.,1987: Estimating weather and climate predictability on attractors. J. Atmos. Sci., 44, 722-728, https://doi.org/10.1175/1520-0469(1987)044<0722:EWACPO>2.0.CO;2
Fraedrich K.,L. M. Leslie, 1989: Estimates of cyclone track predictability. I: Tropical cyclones in the Australian region. Quart. J. Roy. Meteor. Soc., 115, 79-92, https://doi.org/10.1002/qj.49711548505
Goerss J. S.,2000: Tropical cyclone track forecasts using an ensemble of dynamical models. Mon. Wea. Rev., 128, 1187-1193, https://doi.org/10.1175/1520-0493(2000)128<1187:Tctfua>2.0.Co;2
Goerss J. S.,2009: Impact of satellite observations on the tropical cyclone track forecasts of the navy operational global atmospheric prediction system. Mon. Wea. Rev., 137, 41-50, https://doi.org/10.1175/2008MWR2601.1
Grassberger P.,I. Procaccia, 1984: Dimensions and entropies of strange attractors from a fluctuating dynamics approach. Physica D: Nonlinear Phenomena, 13, 34-54, https://doi.org/10.1016/0167-2789(84)90269-0
Heckley W. A.,1985: Systematic errors of the ECMWF operational forecasting model in tropical regions. Quart. J. Roy. Meteor. Soc., 111, 709-738, https://doi.org/10.1002/qj.49711146904
Kazantsev E.,1999: Local Lyapunov exponents of the quasi-geostrophic ocean dynamics. Applied Mathematics and Computation, 104, 217-257, https://doi.org/10.1016/S0096-3003(98)10078-4
Knapp K. R.,M. C. Kruk, D. H. Levinson, H. J. Diamond, and C. J. Neumann, 2010: The international best track archive for climate stewardship (IBTrACS): unifying tropical cyclone data. Bull. Amer. Meteor. Soc., 91, 363-376, https://doi.org/10.1175/2009BAMS2755.1
Knutson, T. R.,Coauthors, 2010: Tropical cyclones and climate change. Nature Geoscience, 3, 157-163, https://doi.org/10.1038/ngeo779
Lacarra J. F.,O. Talagrand, 1988: Short-range evolution of small perturbations in a barotropic model. Tellus A, 40, 81-95, https://doi.org/10.1111/j.1600-0870.1988.tb00408.x
Leslie L. M.,R. F. Abbey Jr., and G. J. Holland, 1998: Tropical cyclone track predictability. Meteor. Atmos. Phys., 65, 223-231, https://doi.org/10.1007/BF01030790
Li J. P.,R. Q. Ding, 2011: Temporal-spatial distribution of atmospheric predictability limit by local dynamical analogs. Mon. Wea. Rev., 139, 3265-3283, https://doi.org/10.1175/Mwr-D-10-05020.1
Li J. P.,R. Q. Ding, 2013: Temporal-spatial distribution of the predictability limit of monthly sea surface temperature in the global oceans. Int. J. Climatol., 33, 1936-1947, https://doi.org/10.1002/joc.3562
Li W. J.,J. P. Liu, L. J. Chen, P. Q. Zhang, and H. L. Ren, 2014: Spatiotemporal distribution and decadal change of the monthly temperature predictability limit in China. Chinese Science Bulletin, 59, 4864-4872, https://doi.org/10.1007/s11434-014-0502-4
Li W. W.,Z. Wang, and M. S. Peng, 2016: Evaluating tropical cyclone forecasts from the NCEP global ensemble forecasting system (GEFS) reforecast version 2. Wea. Forecasting, 31, 895-916, https://doi.org/10.1175/WAF-D-15-0176.1
Liu J. P.,W. J. Li, L. J. Chen, J. Q. Zuo, and P. Q. Zhang, 2016: Estimation of the monthly precipitation predictability limit in China using the nonlinear local lyapunov exponent. Journal of Meteorological Research, 30, 93-102, https://doi.org/10.1007/s13351-015-5049-z
Lorenz E. N.,1963: Deterministic nonperiodic flow. J. Atmos. Sci., 20, 130-141, https://doi.org/10.1175/1520-0469(1963)020<0130:Dnf>2.0.Co;2
Lorenz E. N.,1969: Atmospheric predictability as revealed by naturally occurring analogues. J. Atmos. Sci., 26, 636-646, https://doi.org/10.1175/1520-0469(1969)26<636:Aparbn>2.0.Co;2
Mu M.,2000: Nonlinear singular vectors and nonlinear singular values. Science in China Series D: Earth Sciences, 43, 375-385, https://doi.org/10.1007/BF02959448
Munsell E. B.,2016: Dynamics and predictability of tropical cyclones evaluated through convection-permitting ensemble analyses and forecasts with airborne radar and sounding observations. PhD dissertation, The Pennsylvania State University.
Munsell E. B.,F. Q. Zhang, 2014: Prediction and uncertainty of Hurricane Sandy (2012) explored through a real-time cloud-permitting ensemble analysis and forecast system assimilating airborne Doppler radar observations. Journal of Advances in Modeling Earth Systems, 6, 38-58, https://doi.org/10.1002/2013MS000297
Murakami H.,B. Wang, and A. Kitoh, 2011: Future change of western North Pacific typhoons: projections by a 20-km-mesh global atmospheric model. J. Climate, 24, 1154-1169, https://doi.org/10.1175/2010JCLI3723.1
Nicolis C.,G. Nicolis, 1984: Is there a climatic attractor? Nature, 311, 529-532, https://doi.org/10.1038/311529a0
Peng, S. Q.,Coauthors, 2015: A Real-time regional forecasting system established for the South China Sea and its performance in the track forecasts of tropical cyclones during 2011-13. Wea. Forecasting, 30, 471-485, https://doi.org/10.1175/Waf-D-14-00070.1
Plu M.,2011: A New Assessment of the predictability of tropical cyclone tracks. Mon. Wea. Rev., 139, 3600-3608, https://doi.org/10.1175/2011MWR3627.1
Poterjoy J.,F. Q. Zhang, 2014: Predictability and genesis of hurricane karl (2010) examined through the EnKF assimilation of field observations collected during PREDICT. J. Atmos. Sci., 71, 1260-1275, https://doi.org/10.1175/JAS-D-13-0291.1
Qi L. B.,H. Yu, and P. Y. Chen, 2014: Selective ensemble-mean technique for tropical cyclone track forecast by using ensemble prediction systems. Quart. J. Roy. Meteor. Soc., 140, 805-813, https://doi.org/10.1002/qj.2196
Qin X. H.,W. S. Duan, and M. Mu, 2013: Conditions under which CNOP sensitivity is valid for tropical cyclone adaptive observations. Quart. J. Roy. Meteor. Soc., 139, 1544-1554, https://doi.org/10.1002/qj.2109
Sampson C. R.,J. S. Goerss, and H. C. Weber, 2006: Operational performance of a new barotropic model (WBAR) in the western North Pacific basin. Wea. Forecasting, 21, 656-662, https://doi.org/10.1175/WAF939.1
Shi Z.,R. Q. Ding, 2012: Estimating the predictability of the Quasi-Biweekly Oscillation using the nonlinear local Lyapunov exponent approach. Atmospheric and Oceanic Science Letters, 5, 389-392, https://doi.org/10.1080/16742834.2012.11447023
Thanh C.,T. T. Tien, and K. Q. Chanh, 2016: Application of breeding ensemble to tropical cyclone track forecasts using the Regional Atmospheric Modeling System (RAMS) model. Applied Mathematical Modelling, 40, 8309-8325, https://doi.org/10.1016/j.apm.2016.04.010
Thompson P. D.,1957: Uncertainty of initial state as a factor in the predictability of large scale atmospheric flow patterns. Tellus, 9, 275-295, https://doi.org/10.1111/j.2153-3490.1957.tb01885.x
Walsh, K. J.,Coauthors, 2016: Tropical cyclones and climate change. Wiley Interdisciplinary Reviews: Climate Change, 7, 65-89, https://doi.org/10.1002/wcc.371
Wang B.,J. C. L. Chan, 2002: How strong ENSO events affect tropical storm activity over the western North Pacific. J. Climate, 15, 1643-1658, https://doi.org/10.1175/1520-0442(2002)015<1643:HSEEAT>2.0.CO;2
Wang G. H.,J. L. Su, Y. H. Ding, and D. K. Chen, 2007: Tropical cyclone genesis over the South China Sea. J. Mar. Syst., 68, 318-326, https://doi.org/10.1016/j.jmarsys.2006.12.002
Wong M. L. M.,J. C. L. Chan, 2006: Tropical cyclone motion in response to land surface friction. J. Atmos. Sci., 63, 1324-1337, https://doi.org/10.1175/JAS3683.1
Wu L.,Z. P. Wen, R. H. Huang, and R. G. Wu, 2012: Possible linkage between the monsoon trough variability and the tropical cyclone activity over the western North Pacific. Mon. Wea. Rev., 140, 140-150, https://doi.org/10.1175/MWR-D-11-00078.1
Yan Y. F.,Y. Q. Qi, and W. Zhou, 2012: Variability of tropical cyclone occurrence date in the South China Sea and its relationship with SST warming. Dyn. Atmos. Oceans, 55-56, 45-59, https://doi.org/10.1016/j.dynatmoce.2012.05.001
Yoden S.,M. Nomura, 1993: Finite-time Lyapunov stability analysis and its application to atmospheric predictability. J. Atmos. Sci., 50, 1531-1543, https://doi.org/10.1175/1520-0469(1993)050<1531:FTLSAA>2.0.CO;2
Zhang W. J.,Y. J. Zhang, D. Zheng, and X. J. Zhou, 2012: Lightning distribution and eyewall outbreaks in tropical cyclones during landfall. Mon. Wea. Rev., 140, 3573-3586, https://doi.org/10.1175/MWR-D-11-00347.1
Zhang Z.,T. N. Krishnamurti, 1997: Ensemble forecasting of hurricane tracks. Bull. Amer. Meteor. Soc., 78, 2785-2796, https://doi.org/10.1175/1520-0477(1997)078<2785:Efoht>2.0.Co;2
Ziehmann C.,L. A. Smith, and J. Kurths, 2000: Localized Lyapunov exponents and the prediction of predictability. Physics Letters A, 271, 237-251, https://doi.org/10.1016/S0375-9601(00)00336-4