Book contents
- Frontmatter
- Contents
- List of contributors
- Preface
- Chapter 1 Predictability of weather and climate: from theory to practice
- Chapter 2 Predictability from a dynamical meteorological perspective
- Chapter 3 Predictability – a problem partly solved
- Chapter 4 The Liouville equation and atmospheric predictability
- Chapter 5 Application of generalised stability theory to deterministic and statistical prediction
- Chapter 6 Ensemble-based atmospheric data assimilation
- Chapter 7 Ensemble forecasting and data assimilation: two problems with the same solution?
- Chapter 8 Approximating optimal state estimation
- Chapter 9 Predictability past, predictability present
- Chapter 10 Predictability of coupled processes
- Chapter 11 Predictability of tropical intraseasonal variability
- Chapter 12 Predictability of seasonal climate variations: a pedagogical review
- Chapter 13 Predictability of the North Atlantic thermohaline circulation
- Chapter 14 On the predictability of flow-regime properties on interannual to interdecadal timescales
- Chapter 15 Model error in weather and climate forecasting
- Chapter 16 Observations, assimilation and the improvement of global weather prediction – some results from operational forecasting and ERA-40
- Chapter 17 The ECMWF Ensemble Prediction System
- Chapter 18 Limited-area ensemble forecasting: the COSMO-LEPS system
- Chapter 19 Operational seasonal prediction
- Chapter 20 Weather and seasonal climate forecasts using the superensemble approach
- Chapter 21 Predictability and targeted observations
- Chapter 22 The attributes of forecast systems: a general framework for the evaluation and calibration of weather forecasts
- Chapter 23 Predictability from a forecast provider's perspective
- Chapter 24 Ensemble forecasts: can they provide useful early warnings?
- Chapter 25 Predictability and economic value
- Chapter 26 A three-tier overlapping prediction scheme: tools for strategic and tactical decisions in the developing world
- Chapter 27 DEMETER and the application of seasonal forecasts
- Index
- Plate section
- References
Chapter 10 - Predictability of coupled processes
Published online by Cambridge University Press: 03 December 2009
Book contents
- Frontmatter
- Contents
- List of contributors
- Preface
- Chapter 1 Predictability of weather and climate: from theory to practice
- Chapter 2 Predictability from a dynamical meteorological perspective
- Chapter 3 Predictability – a problem partly solved
- Chapter 4 The Liouville equation and atmospheric predictability
- Chapter 5 Application of generalised stability theory to deterministic and statistical prediction
- Chapter 6 Ensemble-based atmospheric data assimilation
- Chapter 7 Ensemble forecasting and data assimilation: two problems with the same solution?
- Chapter 8 Approximating optimal state estimation
- Chapter 9 Predictability past, predictability present
- Chapter 10 Predictability of coupled processes
- Chapter 11 Predictability of tropical intraseasonal variability
- Chapter 12 Predictability of seasonal climate variations: a pedagogical review
- Chapter 13 Predictability of the North Atlantic thermohaline circulation
- Chapter 14 On the predictability of flow-regime properties on interannual to interdecadal timescales
- Chapter 15 Model error in weather and climate forecasting
- Chapter 16 Observations, assimilation and the improvement of global weather prediction – some results from operational forecasting and ERA-40
- Chapter 17 The ECMWF Ensemble Prediction System
- Chapter 18 Limited-area ensemble forecasting: the COSMO-LEPS system
- Chapter 19 Operational seasonal prediction
- Chapter 20 Weather and seasonal climate forecasts using the superensemble approach
- Chapter 21 Predictability and targeted observations
- Chapter 22 The attributes of forecast systems: a general framework for the evaluation and calibration of weather forecasts
- Chapter 23 Predictability from a forecast provider's perspective
- Chapter 24 Ensemble forecasts: can they provide useful early warnings?
- Chapter 25 Predictability and economic value
- Chapter 26 A three-tier overlapping prediction scheme: tools for strategic and tactical decisions in the developing world
- Chapter 27 DEMETER and the application of seasonal forecasts
- Index
- Plate section
- References
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- Predictability of Weather and Climate , pp. 251 - 274Publisher: Cambridge University PressPrint publication year: 2006
References
and (2000). An Eigen analysis of the interdecadal changes in the structure and frequency of the ENSO mode. Geophys. Res. Lett., 27, 2573–6CrossRefGoogle Scholar
, , and (1991). Instabilities of front patterns in reactin-diffusion systems. Physica D., 49, 141–60CrossRefGoogle Scholar
et al. (1997). Predictability in the large: an extension of the concept of Lyapunov exonent. J. Phys. A, 30, 1CrossRefGoogle Scholar
, , and (1998). An extension of the Lyapunov analysis for the predictability problem. J. Atmos. Sci., 55, 3409–162.0.CO;2>CrossRefGoogle Scholar
and (1985). Estimating optimal transformations for multiple regression and correlation (with discussion). J. Am. Stat. Assoc., 80, 580CrossRefGoogle Scholar
and (1996). Generalized stability theory. I: Autonomous operators. J. Atmos. Sci., 53, 2025–402.0.CO;2>CrossRefGoogle Scholar
and K. Hasselmann (1977). Stochastic climate models. II: Application to sea-surface temperature anomalies and thermocline variability. Tellus, 29, 289–305CrossRef
(1980). Some simple solutions for the heat-induced tropical circulation. Quart. J. Roy. Meteor. Soc., 106, 447–62CrossRefGoogle Scholar
, , and (1999). Interannual to decadal predictability in a coupled ocean–atmosphere general circulation model. J. Climate, 12, 2607–242.0.CO;2>CrossRefGoogle Scholar
, and (1999). Practical implementation of nonlinear time series methods: the TISEAN package. Chaos, 9, 413CrossRefGoogle ScholarPubMed
and (1997). Intraseasonal air-sea interactions in the tropical Indian and Pacific Oceans. J. Climate, 10, 647–612.0.CO;2>CrossRefGoogle Scholar
(1997). An equatorial ocean recharge paradigm for ENSO. I: Conceptual model. J. Atmos. Sci., 54, 8112.0.CO;2>CrossRefGoogle Scholar
, , and (2003). Strong El Niño events and nonlinear dynamical heating. Geophys. Res. Lett., 30, 1120CrossRefGoogle Scholar
(1991). A simple model of the atmospheric response to ENSO sea surface temperature anomalies. J. Atmos. Sci., 48, 3–182.0.CO;2>CrossRefGoogle Scholar
and (1997). A theory for the limitation of ENSO predictability due to stochastic atmospheric transients. J. Atmos. Sci., 54, 753–672.0.CO;2>CrossRefGoogle Scholar
and (2000). How much skill was there in forecasting the very strong 1997–98 El Niño?Bull. Am. Meteorol. Soc., 81, 2107–192.3.CO;2>CrossRefGoogle Scholar
(1969). The predictability of a flow which possesses many scales of motion. Tellus, 21, 289CrossRefGoogle Scholar
(1975). Climate predictability. In The Physical Bases of Climate and Climate Modeling, pp. 132–6. GARP Publication Series 16. World Meteorological OrganizationGoogle Scholar
, and (2004). Combining ENSO forecasts: a feasibility study. Mon. Wea. Rev., 132, 456–722.0.CO;2>CrossRefGoogle Scholar
and (1999). Stochastic forcing of ENSO by the intraseasonal oscillation. J. Climate, 12, 1199–2202.0.CO;2>CrossRefGoogle Scholar
and (2003). Cyclic Markov chains with an application to an intermediate ENSO model. Nonlinear Proc. Geoph., 203, 197–210CrossRefGoogle Scholar
and (2000). The response of an ENSO model to climate noise, weather noise and intraseasonal forcing. Geophys. Res. Lett., 27, 3723–6CrossRef
and (1996). Improved surrogate data for nonlinear tests. Phys. Rev. Lett., 77, 635CrossRefGoogle Scholar
, , and (1998). Global seasonal rainfall forecasts using a coupled ocean-atmosphere model. Nature, 392, 370–3CrossRefGoogle Scholar
and (2000). ENSO in a hybrid coupled model. I: sensitivity to physical parametrizations. Clim. Dynam., 16, 19–34CrossRefGoogle Scholar
, , , and (1999a). Increased El Niño frequency in a climate model forced by future greenhouse warming. Nature, 398, 694–6CrossRefGoogle Scholar
, and (1999b). Modes of climate variability as simulated by the coupled atmosphere-ocean model ECHAM3/LSG. I: ENSO-like climate variability and its low-frequency modulation. Clim. Dynam., 15, 605–18CrossRefGoogle Scholar
, and (2001). Empirical dynamical system modeling of ENSO using nonlinear inverse techniques. J. Phys. Oceanogr., 31, 1579–982.0.CO;2>CrossRefGoogle Scholar
(2003). Decadal ENSO amplitude modulations: a nonlinear mechanism. Global Planet. Change, 135–56CrossRefGoogle Scholar
, and (2003). A nonlinear theory for El Niño bursting. J. Atmos. Sci., 60, 152–652.0.CO;2>CrossRefGoogle Scholar
and (1998). A practical guide to wavelet analysis. Bull. Am. Meteorol. Soc., 79, 61–782.0.CO;2>CrossRefGoogle Scholar
, , and (1993). Hydrodynamic stability without eigenvalues. Science, 261, 578–84CrossRefGoogle ScholarPubMed
and (1997). Reconstruction of nonlinear time delay models from data by the use of optimal transformations. Phys. Lett. A, 234, 336–44CrossRefGoogle Scholar
(2001). Analyzing nonlinear dynamical systems with nonparametric regression. In Nonlinear Dynamics and Statistics, ed. , pp. 413–34. Boston: BirkhäuserGoogle Scholar
and (1987). A model of the El Niño-Southern Oscillation. Mon. Weather Rev., 115, 2262–782.0.CO;2>CrossRefGoogle Scholar
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