Lorenz 96 ========= Overview -------- The Lorenz 96 model was first described by Edward Lorenz during a seminar at the European Centre for Medium-Range Weather Forecasts in the Autumn of 1995, the proceedings of which were published as Lorenz (1996) [1]_ the following year, hence the model is commonly referred to as Lorenz 96. Lorenz and Emmanuel (1998) [2]_ describe the model as: ... consisting of 40 ordinary differential equations, with the dependent variables representing values of some atmospheric quantity at 40 sites spaced equally about a latitude circle. The equations contain quadratic, linear, and constant terms representing advection, dissipation, and external forcing. Numerical integration indicates that small errors (differences between solutions) tend to double in about 2 days. Localized errors tend to spread eastward as they grow, encircling the globe after about 14 days. We have chosen a model with :math:`J` variables, denoted by: .. math:: X_1, ... , X_j; in most of our experiments we have let :math:`J = 40`. The governing equations are: .. math:: dX_j/dt=(X_{j+1}-X_{j-2})X_{j-1}-X_j+F (1) for: .. math:: j=1,...,J. To make Eq. (1) meaningful for all values of *j* we define: .. math:: X_{-1}=X_{J-1}, X_0=X_J, \& X_{J+1}=X_1, so that the variables form a cyclic chain, and may be looked at as values of some unspecified scalar meteorological quantity, perhaps vorticity or temperature, at *J* equally spaced sites extending around a latitude circle. Nothing will simulate the atmosphere's latitudinal or vertical extent. For Lorenz 96, DART advances the model, gets the model state and metadata describing this state, finds state variables that are close to a given location, and does spatial interpolation for model state variables. The Lorenz 96 model has a ``work/workshop_setup.csh`` script that compiles and runs an example. This example is referenced at various points in the :doc:`DART tutorial <../../theory/readme>` and is intended to provide insight into model/assimilation behavior. The example **may or may not** result in good (*or even decent!*) results! Be aware that the ``input.nml`` file is modified by the ``workshop_setup.csh`` script. There are also some excellent Matlab tools to explore the behavior of the Lorenz 96 model, namely ``run_lorenz_96.m`` and ``run_lorenz_96_inf.m``, both of which are part of the :doc:`DART_LAB Tutorial. <../../guide/DART_LAB/DART_LAB>` Namelist -------- The ``&model_nml`` namelist is read from the ``input.nml`` file. Namelists start with an ampersand ``&`` and terminate with a slash ``/``. Character strings that contain a ``/`` must be enclosed in quotes to prevent them from prematurely terminating the namelist. .. code-block:: fortran &model_nml model_size = 40, forcing = 8.00, delta_t = 0.05, time_step_days = 0, time_step_seconds = 3600 / Description of each namelist entry ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ +-------------------+----------+-------------------------------------+ | Item | Type | Description | +===================+==========+=====================================+ | model_size | integer | Number of variables in model. | +-------------------+----------+-------------------------------------+ | forcing | real(r8) | Forcing, F, for model. | +-------------------+----------+-------------------------------------+ | delta_t | real(r8) | Non-dimensional timestep. This is | | | | mapped to the dimensional timestep | | | | specified by time_step_days and | | | | time_step_seconds. | +-------------------+----------+-------------------------------------+ | time_step_days | integer | Number of days for dimensional | | | | timestep, mapped to delta_t. | +-------------------+----------+-------------------------------------+ | time_step_seconds | integer | Number of seconds for dimensional | | | | timestep, mapped to delta_t. | +-------------------+----------+-------------------------------------+ References ---------- .. [1] Lorenz, Edward N., 1996: Predictability: A Problem Partly Solved. *Seminar on Predictability.* **1**, ECMWF, Reading, Berkshire, UK, 1-18. .. [2] Lorenz, Edward N., and Kerry A. Emanuel, 1998: Optimal Sites for Supplementary Weather Observations: Simulations with a Small Model. *Journal of the Atmospheric Sciences*, **55**, 399-414, `doi:10.1175/1520-0469(1998)055\<0399:OSFSWO\>2.0.CO;2 2.0.CO;2>`__