-
1
-
-
33745264896
-
Parameter estimation using chaotic time series
-
Annan, J.D., 2005: Parameter estimation using chaotic time series, Tellus, 57A, 709-714.
-
(2005)
Tellus
, vol.57 A
, pp. 709-714
-
-
Annan, J.D.1
-
2
-
-
0033097707
-
A comparison between neural-network forecasting techniques - Case study: River flow forecasting
-
Atiya, A.F., S.M. El-Shoura, S.I. Shaheen, and M.S. El-Sherif, 1999: A comparison between neural-network forecasting techniques - Case study: river flow forecasting, IEEE Trans. Neural Networks, 10, 402-409.
-
(1999)
IEEE Trans. Neural Networks
, vol.10
, pp. 402-409
-
-
Atiya, A.F.1
El-Shoura, S.M.2
Shaheen, S.I.3
El-Sherif, M.S.4
-
4
-
-
0035452859
-
Extraction of nonlinear dynamics from short and noisy time series
-
Boudjema, G., and B. Cazelles, 2001: Extraction of nonlinear dynamics from short and noisy time series, Chaos, Solit. and Fract., 12, 2051-2069.
-
(2001)
Chaos, Solit. and Fract
, vol.12
, pp. 2051-2069
-
-
Boudjema, G.1
Cazelles, B.2
-
5
-
-
0002904424
-
An improved method for estimating Lyapunov exponents of chaotic time series
-
Briggs, K., 1990: An improved method for estimating Lyapunov exponents of chaotic time series, Phys. Lett., A151, 27-32.
-
(1990)
Phys. Lett
, vol.A151
, pp. 27-32
-
-
Briggs, K.1
-
6
-
-
0033614403
-
Signature of recent climate change in frequencies of natural atmospheric circulation regimes
-
Corti, S., F. Molteni, and T.N. Palmer, 1999: Signature of recent climate change in frequencies of natural atmospheric circulation regimes, Nature, 398, 799-802.
-
(1999)
Nature
, vol.398
, pp. 799-802
-
-
Corti, S.1
Molteni, F.2
Palmer, T.N.3
-
7
-
-
0034273966
-
Using artificial neural networks to forecast chaotic time series
-
de Oliveira, K.A., A. Vannucci, and E.C. da Silva, 2000: Using artificial neural networks to forecast chaotic time series, Physica, A284, 393-404.
-
(2000)
Physica
, vol.A284
, pp. 393-404
-
-
de Oliveira, K.A.1
Vannucci, A.2
da Silva, E.C.3
-
8
-
-
7044278274
-
RISE undergraduates find that regime changes in Lorenz's model are predictable
-
Evans, E., N. Bhatti, J. Kinney, L. Pann, M. Peña, S.-C. Yang, E. Kalnay, and J. Hansen, 2004: RISE undergraduates find that regime changes in Lorenz's model are predictable, Bull. Amer. Meteor. Soc., 85, 520-524.
-
(2004)
Bull. Amer. Meteor. Soc
, vol.85
, pp. 520-524
-
-
Evans, E.1
Bhatti, N.2
Kinney, J.3
Pann, L.4
Peña, M.5
Yang, S.-C.6
Kalnay, E.7
Hansen, J.8
-
9
-
-
84863848685
-
-
Addison-Wesley, 327 pp
-
Hertz, J., A. Krogh, and R.G. Palmer, 1991: Introduction to the theory of neural computation, Addison-Wesley, 327 pp.
-
(1991)
Introduction to the theory of neural computation
-
-
Hertz, J.1
Krogh, A.2
Palmer, R.G.3
-
10
-
-
0035391275
-
Enhanced sensitivity of persistent events to weak forcing in dynamical and stochastic systems: Implications for climate change
-
Khatiwala, S., B.E. Shaw, and M.A. Cane, 2001: Enhanced sensitivity of persistent events to weak forcing in dynamical and stochastic systems: implications for climate change, Geophys. Res. Lett., 28, 2633-2636.
-
(2001)
Geophys. Res. Lett
, vol.28
, pp. 2633-2636
-
-
Khatiwala, S.1
Shaw, B.E.2
Cane, M.A.3
-
11
-
-
0000241853
-
Deterministic non-periodic flow
-
Lorenz, E.N., 1963: Deterministic non-periodic flow, J. Atmos. Sci., 20, 130-141.
-
(1963)
J. Atmos. Sci
, vol.20
, pp. 130-141
-
-
Lorenz, E.N.1
-
12
-
-
0032172943
-
Scalar measures of performance in rare-event situations
-
Marzban, C., 1998: Scalar measures of performance in rare-event situations, Weather Forecasting, 13, 753-763.
-
(1998)
Weather Forecasting
, vol.13
, pp. 753-763
-
-
Marzban, C.1
-
13
-
-
24144500833
-
Bifurcation analysis of a paradigmatic model of monsoon prediction
-
Mittal, A.K., S. Dwivedi, and A.C. Pandey, 2005: Bifurcation analysis of a paradigmatic model of monsoon prediction, Nonlin. Proc. Geophys., 12, 707-715.
-
(2005)
Nonlin. Proc. Geophys
, vol.12
, pp. 707-715
-
-
Mittal, A.K.1
Dwivedi, S.2
Pandey, A.C.3
-
14
-
-
84977734073
-
A nonlinear dynamical perspective on climate change
-
Palmer, T.N., 1993: A nonlinear dynamical perspective on climate change, Weather, 48, 313-326.
-
(1993)
Weather
, vol.48
, pp. 313-326
-
-
Palmer, T.N.1
-
15
-
-
0033080118
-
A nonlinear dynamical perspective on climate prediction
-
Palmer, T.N., 1999: A nonlinear dynamical perspective on climate prediction, J. Clim., 12, 575-591.
-
(1999)
J. Clim
, vol.12
, pp. 575-591
-
-
Palmer, T.N.1
-
17
-
-
75649091327
-
Neural network modeling in climate change studies
-
Haupt, S.E, C. Marzban, and A. Pasini eds, Springer in press
-
Pasini, A., 2007: Neural network modeling in climate change studies, in Artificial intelligence methods in the environmental sciences (Haupt, S.E., C. Marzban, and A. Pasini eds.), Springer (in press).
-
(2007)
Artificial intelligence methods in the environmental sciences
-
-
Pasini, A.1
-
18
-
-
0141539219
-
Radon short range forecasting through time series preprocessing and neural network modeling
-
doi:10.1029/2002GL016726
-
Pasini, A., and F. Ameli, 2003: Radon short range forecasting through time series preprocessing and neural network modeling, Geophys. Res. Lett., 30 (7), 1386, doi:10.1029/2002GL016726.
-
(2003)
Geophys. Res. Lett
, vol.30
, Issue.7
, pp. 1386
-
-
Pasini, A.1
Ameli, F.2
-
19
-
-
30044447334
-
Mixing height short range forecasting through neural network modeling applied to radon and meteorological data
-
Long Beach, CA, AMS, CD-ROM, paper 3.5
-
rd AMS annual meeting (Third Conference on artificial intelligence applications to the environmental science), Long Beach, CA, AMS, CD-ROM, paper 3.5.
-
(2003)
rd AMS annual meeting (Third Conference on artificial intelligence applications to the environmental science)
-
-
Pasini, A.1
Ameli, F.2
Lorè, M.3
-
20
-
-
28444493276
-
Neural network modelling for the analysis of forcings/temperatures relationships at different scales in the climate system
-
Pasini, A., M. Lorè, and F. Ameli, 2006: Neural network modelling for the analysis of forcings/temperatures relationships at different scales in the climate system, Ecol. Model., 191, 58-67.
-
(2006)
Ecol. Model
, vol.191
, pp. 58-67
-
-
Pasini, A.1
Lorè, M.2
Ameli, F.3
-
21
-
-
0034706483
-
A unified view of Kolmogorov and Lorenz systems
-
Pasini, A., and V. Pelino, 2000: A unified view of Kolmogorov and Lorenz systems, Phys. Lett., A275, 435-446.
-
(2000)
Phys. Lett
, vol.A275
, pp. 435-446
-
-
Pasini, A.1
Pelino, V.2
-
22
-
-
33749062603
-
Can we estimate atmospheric predictability by performance of neural network forecasting? The toy case studies of unforced and forced Lorenz models
-
Italy, IEEE, pp
-
Pasini, A., and V. Pelino, 2005: Can we estimate atmospheric predictability by performance of neural network forecasting? The toy case studies of unforced and forced Lorenz models, Proc. IEEE International Conference on computational intelligence for measurement systems and applications (CIMSA 2005), Giardini Naxos, Italy, IEEE, pp. 69-74.
-
(2005)
Proc. IEEE International Conference on computational intelligence for measurement systems and applications (CIMSA 2005), Giardini Naxos
, pp. 69-74
-
-
Pasini, A.1
Pelino, V.2
-
23
-
-
0034878387
-
A neural network model for visibility nowcasting from surface observations: Results and sensitivity to physical input variables
-
Pasini, A., V. Pelino, and S. Potestà, 2001: A neural network model for visibility nowcasting from surface observations: Results and sensitivity to physical input variables, J. Geophys. Res., 106 (D14), 14,951-14,959.
-
(2001)
J. Geophys. Res
, vol.106
, Issue.D14
-
-
Pasini, A.1
Pelino, V.2
Potestà, S.3
-
24
-
-
3042633333
-
Non-linear atmospheric stability indices by neural-network modelling
-
Pasini, A., C. Perrino, and A. Žujić, 2003b: Non-linear atmospheric stability indices by neural-network modelling, Nuovo Cimento, 26C, 633-638.
-
(2003)
Nuovo Cimento
, vol.26 C
, pp. 633-638
-
-
Pasini, A.1
Perrino, C.2
Žujić, A.3
-
25
-
-
51249168451
-
Short-range visibility forecast by means of neural-network modelling: A case study
-
Pasini, A., and S. Potestà, 1995: Short-range visibility forecast by means of neural-network modelling: a case study, Nuovo Cimento, 18C, 505-516.
-
(1995)
Nuovo Cimento
, vol.18 C
, pp. 505-516
-
-
Pasini, A.1
Potestà, S.2
-
26
-
-
27744505411
-
A method to improve prediction of atmospheric flow transitions
-
Roebber, P.J., and A.A. Tsonis, 2005: A method to improve prediction of atmospheric flow transitions, J. Atmos. Sci., 62, 3818-3824.
-
(2005)
J. Atmos. Sci
, vol.62
, pp. 3818-3824
-
-
Roebber, P.J.1
Tsonis, A.A.2
-
27
-
-
0000779360
-
Detecting strange attractors in turbulence
-
Dynamical systems and turbulence Rand, D.A, and L.-S. Young eds, Springer, pp
-
Takens F., 1981: Detecting strange attractors in turbulence, in Dynamical systems and turbulence (Rand, D.A., and L.-S. Young eds.), Lecture Notes in Mathematics, Vol. 898, Springer, pp. 366-381.
-
(1981)
Lecture Notes in Mathematics
, vol.898
, pp. 366-381
-
-
Takens, F.1
-
28
-
-
0008494528
-
Determining Lyapunov exponents from a time series
-
Wolf, A., J.B. Swift, H.L. Swinney, and J.A. Vastano, 1985: Determining Lyapunov exponents from a time series, Physica, D16, 285-317.
-
(1985)
Physica
, vol.D16
, pp. 285-317
-
-
Wolf, A.1
Swift, J.B.2
Swinney, H.L.3
Vastano, J.A.4
-
29
-
-
24144465633
-
Prediction rules for regime changes and length in a new regime for the Lorenz model
-
Yadav, R.S., S. Dwivedi, and A.K. Mittal, 2005: Prediction rules for regime changes and length in a new regime for the Lorenz model, J. Atmos. Sci., 62, 2316-2321.
-
(2005)
J. Atmos. Sci
, vol.62
, pp. 2316-2321
-
-
Yadav, R.S.1
Dwivedi, S.2
Mittal, A.K.3
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