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A python based infrastructure for cloud large eddy simulation.

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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...

bug

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...

bug

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...

help wanted