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Original Articles

A study of the predictability of a 28-variable atmospheric model

Pages 321-333 | Received 22 Dec 1965, Accepted 01 Feb 1965, Published online: 15 Dec 2016

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Jing Wang, Jing Chen, Yongzhu Liu, Juanjuan Liu, Bin Wang, Xiaoli Li, FaJing Chen & Zhenhua Huo. (2023) Development of Moist Singular Vectors in GRAPES-GEPS and a Preliminary Evaluation. Atmosphere-Ocean 61:1, pages 57-67.
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Jew Das, Velpuri Manikanta, K. Nikhil Teja & N. V. Umamahesh. (2022) Two decades of ensemble flood forecasting: a state-of-the-art on past developments, present applications and future opportunities. Hydrological Sciences Journal 67:3, pages 477-493.
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Cleiton Da Silva Silveira, Francisco Das Chagas Vasconcelos Junior, Francisco De Assis De Souza Filho, Sullyandro Oliveira Guimarães, Antonio Duarte Marcos Junior, Giullian Nicola Lima Dos Reis & Victor Costa Porto. (2019) Performance evaluation of AR5-CMIP5 models for the representation of seasonal and multi-annual variability of precipitation in Brazilian hydropower sector basins under RCP8.5 scenario. Hydrological Sciences Journal 64:11, pages 1279-1296.
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Swarnali Majumder, T. M. Balakrishnan Nair, K. G. Sandhya, P. G. Remya & P. Sirisha. (2018) Modification of a linear regression-based multi-model super-ensemble technique and its application in forecasting of wave height during extreme weather conditions. Journal of Operational Oceanography 11:1, pages 1-10.
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Xiao-Wei HUAI, Jian-Ping LI, Rui-Qiang DING, Jie FENG & De-Qiang LIU. (2017) Quantifying local predictability of the Lorenz system using the nonlinear local Lyapunov exponent. Atmospheric and Oceanic Science Letters 10:5, pages 372-378.
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Jie Feng, Zoltan Toth & Malaquias Peña. (2017) Spatially extended estimates of analysis and short-range forecast error variances. Tellus A: Dynamic Meteorology and Oceanography 69:1.
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Lizzie S. R. Froude, Lennart Bengtsson & Kevin I. Hodges. (2013) Atmospheric predictability revisited. Tellus A: Dynamic Meteorology and Oceanography 65:1.
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Yulia Nezlin, Yves Rochon & Saroja Polavarapu. (2009) Impact of tropospheric and stratospheric data assimilation on mesospheric prediction . Tellus A: Dynamic Meteorology and Oceanography 61:1, pages 154-159.
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ROBERTC. BISHOP. (2008) What Could Be Worse than the Butterfly Effect?. Canadian Journal of Philosophy 38:4, pages 519-547.
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Christopher L. Wolfe & Roger M. Samelson. (2007) An efficient method for recovering Lyapunov vectors from singular vectors. Tellus A: Dynamic Meteorology and Oceanography 59:3, pages 355-366.
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Zhijin Li, I.M. Navon & M.Y. Hussaini. (2005) Analysis of the singular vectors of the full-physics Florida State University Global Spectral Model. Tellus A: Dynamic Meteorology and Oceanography 57:4, pages 560-574.
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Edward N. Lorenz. (2005) A look at some details of the growth of initial uncertainties. Tellus A: Dynamic Meteorology and Oceanography 57:1, pages 1-11.
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Faming Wang & Robert Scott. (2005) On the prediction of linear stochastic systems with a low-order model. Tellus A: Dynamic Meteorology and Oceanography 57:1, pages 12-20.
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G. Rivière & B.L. Hua. (2004) Predicting areas of sustainable error growth in quasigeostrophic flows using perturbation alignment properties. Tellus A: Dynamic Meteorology and Oceanography 56:5, pages 441-455.
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Leandro Farina. (2002) On ensemble prediction of ocean waves. Tellus A: Dynamic Meteorology and Oceanography 54:2, pages 148-158.
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Inger-Lise Frogner & Trond Iversen. (2001) Targeted ensemble prediction for northern Europe and parts of the north Atlantic Ocean. Tellus A: Dynamic Meteorology and Oceanography 53:1, pages 35-55.
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Istvan Szunyogh, Eugenia Kalnay & Zoltan Toth. (1997) A comparison of Lyapunov and optimal vectors in a low-resolution GCM. Tellus A: Dynamic Meteorology and Oceanography 49:2, pages 200-227.
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P. Courtier & F. Rabier. (1997) The Use of Adjoint Equations in Numerical Weather Prediction. Atmosphere-Ocean 35:sup1, pages 303-322.
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R. Buizza, J. Tribbia, F. Molteni & T. Palmer. (1993) Computation of optimal unstable structures for a numerical weather prediction model. Tellus A: Dynamic Meteorology and Oceanography 45:5, pages 388-407.
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Philippe Courtier, John Derber, Ron Errico, Jean-Francois Louis & Tomislava VukiĆEviĆ. (1993) Important literature on the use of adjoint, variational methods and the Kalman filter in meteorology. Tellus A: Dynamic Meteorology and Oceanography 45:5, pages 342-357.
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Bernard Urban. (1993) A method to determine the theoretical maximum error growth in atmospheric models. Tellus A: Dynamic Meteorology and Oceanography 45:4, pages 270-280.
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Amnon Dalcher & Eugenia Kalnay. (1987) Error growth and predictability in operational ECMWF forecasts. Tellus A: Dynamic Meteorology and Oceanography 39:5, pages 474-491.
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K. K. Tung & A. J. Rosenthal. (1986) On the extended-range predictability of large-scale quasi-stationary patterns in the atmosphere. Tellus A: Dynamic Meteorology and Oceanography 38:4, pages 333-365.
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Ross N. Hoffman & Eugenia Kalnay. (1983) Lagged average forecasting, an alternative to Monte Carlo forecasting. Tellus A: Dynamic Meteorology and Oceanography 35:2, pages 100-118.
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K. Hasselmann. (1976) Stochastic climate models Part I. Theory. Tellus 28:6, pages 473-485.
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K. Miyakoda & Olivier Talagrand. (1971) The assimilation of past data in dynamical analysis. I. Tellus 23:4-5, pages 310-317.
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J. Smagorinsky, K. Miyakoda & R. F. Strickler. (1970) The relative importance of variables in initial conditions for dynamical weather prediction. Tellus 22:2, pages 141-157.
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Edward S. Epstein. (1969) Stochastic dynamic prediction. Tellus 21:6, pages 739-759.
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