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Does God play dice? – randomness in weather evolution

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Does God play dice? – randomness in weather evolution

"God does not play dice" is a saying often attributed to the renowned physicist Albert Einstein. Here "playing dice" refers to the randomness inherent in the motion of particles in quantum mechanics (Fig. 1), which makes a completely accurate prediction impossible even in a theoretical sense.

Fig 1

Fig 1   Quantum mechanics utilise probability (given by the modulus of the "wave function") to describe possible locations of the electron.(Image taken from

In fact, physical systems with sufficient complexity[1] also exhibit randomness, which then limits the system's predictability[2]. The motion of the Earth's atmosphere i.e. weather is a prime example. Tiny differences in initial conditions can lead to large discrepancies in the evolution of weather systems as represented by numerical weather prediction (Fig. 2), attesting to the famous "butterfly effect" or "chaos theory".

Fig 2

Fig 2   Forecast satellite cloud imagery for Typhoon Nida by members of a mesoscale ensemble prediction system. Here members (1) and (2) suggest the possibility of Nida making landfall to the east and west of Hong Kong respectively.

In order to address uncertainty in weather forecasts, the technique of ensemble prediction[3] is developed as a result. By performing computation using "perturbed" initial fields, ensemble prediction is capable of producing a series of possible atmospheric states, which then provide an objective basis for estimating the likelihood of weather events.

Fig 3

Fig 3   Tropical cyclone strike probability forecast for Typhoon Nida by the ensemble prediction system of ECMWF[3]. It could be seen that, at the time, there was still considerable discrepancy between ensemble members regarding the movement and landfall position of Nida.


  1. Normally, a non-linear system described by 3 or more differential equations is required.
  2. Strictly speaking, classical mechanical systems (i.e. non-quantum systems including the atmosphere) are not truly "random". Their perceived "randomness" arises from an extreme sensitivity to initial conditions, which makes it impossible in practice to predict or repeat the exact outcomes of the system's evolution. "Mark 6" is such an example.
  3. The European Center for Medium-range Weather Forecasts (ECMWF) began operating the first global ensemble prediction system since the 1990s.