pycles
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A python based infrastructure for cloud large eddy simulation.
there isa problem in using cloud fraction in the loss function for calibration because the name appears also in time series I renamed the latter to `cloud_cover`
I'm getting errors in the dry cases `Soares` and `Gabls`: ``` Exception KeyError: (u'qt',) in 'PrognosticVariables.PrognosticVariables.get_varshift' ignored Exception KeyError: (u'qt',) in 'PrognosticVariables.PrognosticVariables.get_varshift' ignored Exception KeyError: (u'qt',) in 'PrognosticVariables.PrognosticVariables.get_varshift' ignored Exception...
I'm getting NaNs when initialising the lifecycle case: ``` Found NaN in T_n s 7224.352182 qt 0.004356 p0 80609.818223 T_1 398.995563 T_2 -nan f_1 -inf f_2 -inf L_2 2109562.072012 sigma_2...
Currently all prognostic variables are damped in the sponge layer. Damping only on horizontal velocities should suffice. However removing scalar damping may break the model for longer simulations. The reason...