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50th Anniversary of the Metaphorical Butterfly Effect since Lorenz (1972): Multistability, Multiscale Predictability, and Sensitivity in Numerical Models

50th Anniversary of the Metaphorical Butterfly Effect since Lorenz (1972): Multistability, Multiscale Predictability, and Sensitivity in Numerical Models

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This year marks the 50th anniversary of the metaphorical butterfly effect, born from Edward Lorenz's 1963 work on initial condition sensitivity. In 1972, it became a metaphor for illustrating how minor changes could yield an organized system. •Lorenz Models: Chaos and Regime Changes: Explore Lorenz models' 1960–2008 evolution, chaos theory, and coexisting attractors. •Unraveling High-dimensional Instability: Challenge norms in "Butterfly Effect without Chaos?" as non-chaotic elements contribute uniquely. •Modeling Atmospheric Dynamics: Delve into atmospheric dynamics via "Storm Sensitivity Study." •Navigating Data Assimilation: Explore data assimilation's dance in chaotic and nonchaotic settings via the observability Gramian. •Chaos, Instability, Sensitivities: Explore chaos, instability, and sensitivities with Lorenz’s 1963 and 1969 models. •Unraveling Tropical Mysteries: Investigate tropical atmospheric instability, uncovering oscillation origins and cloud–radiation interactions. •Chaos and Order: Enter atmospheric regimes, exploring attractor coexistence and predictability. •The Art of Prediction: Peer into predictability realms, tracing the "butterfly effect's" impact on predictions. •Navigating Typhoons: Journey through typhoons, exploring rainfall and typhoon trajectory prediction. •Analyzing Sea Surface Temperature: Examine sea surface temperature analysis and nonlinear analysis for classification.

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Keywords

  • Bernoulli function
  • butterfly effect
  • categorical statistics
  • Chaos
  • chaotic regimes
  • cloud dynamics
  • cloud resolving model
  • cloud-resolving model
  • convective available potential energy (CAPE)
  • Courant–Friedrichs–Lewy (CFL) criterion
  • Data assimilation
  • dual nature
  • dynamics system
  • Earth sciences
  • El Niño
  • EOF
  • finite predictability
  • forecast sensitivity
  • forward–backward scheme
  • generalized Lorenz model
  • ill-conditioned
  • instability
  • ISOMAP
  • La Niña
  • Laplace’s demon
  • leapfrog scheme
  • Lorenz model
  • low-order modeling
  • Meteorology & climatology
  • MM5
  • multistability
  • Niño 3.4
  • Numerical Weather Prediction (NWP)
  • observation placement
  • oscillations
  • PCA
  • Philippines
  • predictability
  • predictions
  • Purdue regional climate model (PRCM)
  • quantitative precipitation forecast (QPF)
  • radiation
  • Rayleigh–Bènard convection
  • Reference, information & interdisciplinary subjects
  • Research & information: general
  • saddle point
  • SDIC
  • sensitive dependence on initial conditions
  • sensitivities
  • shallow water equations (SWE)
  • SST
  • thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general
  • time-lagged ensemble
  • tropical clouds
  • typhoon
  • ventilation effect
  • weather forecasts
  • Zika toy model

Links

DOI: 10.3390/books978-3-0365-8911-4

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