Difference between revisions of "Dissipation"

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(Description)
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\end{align}
 
\end{align}
  
where $$\delta x$$ is the smallest horizontal distance represented in the model and $$\tau_{diss}$$ is the dissipation timescale for a structure of scale $$\delta x$$. These operators are necessary to ensure the grid point model numerical stability. In practice, the operator is separately applied to three components :  
+
where $$q$$ is a field component on which disspation is applied, $$\delta x$$ is the smallest horizontal distance represented in the model and $$\tau_{diss}$$ is the dissipation timescale for a structure of scale $$\delta x$$. These operators are necessary to ensure the grid point model numerical stability. In practice, the operator is separately applied to three components :  
 
* the divergence of the flow,  
 
* the divergence of the flow,  
 
* the vorticity of the flow,
 
* the vorticity of the flow,
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We classically use n = 2, n = 1,and n = 2.
 
We classically use n = 2, n = 1,and n = 2.
 +
 
== How to change it in the model ==
 
== How to change it in the model ==
  

Revision as of 10:04, 11 May 2022

Description

In the LMD grid point model, nonlinear interactions between explicitly resolved scales and subgrid-scale processes are parameterized by applying a scale-selective horizontal dissipation operator based on an $$n$$ time iterated Laplacian $$\Delta^n$$. For the grid point model, for instance, this can be written:


\begin{align} \label{def:Wns} \frac{\partial q}{\partial t} = \frac{(-1)^n}{\tau_{diss}}(\delta x)^{2n}\Delta^nq \end{align}

where $$q$$ is a field component on which disspation is applied, $$\delta x$$ is the smallest horizontal distance represented in the model and $$\tau_{diss}$$ is the dissipation timescale for a structure of scale $$\delta x$$. These operators are necessary to ensure the grid point model numerical stability. In practice, the operator is separately applied to three components :

  • the divergence of the flow,
  • the vorticity of the flow,
  • potential temperature.

We classically use n = 2, n = 1,and n = 2.

How to change it in the model

In practise, the values of $$n$$ and $$\tau_{diss}$$ are prescribed in the run.def with the keys:

  • nitergdiv
  • nitergrot
  • niterh

for the values of $$n$$ on each field, and the associated $$\tau$$:

  • tetagdiv
  • tetagrot
  • tetatemp

In run.def, there is also a key idissip which is the frequency (in dynamical steps) at which to apply the dissipation.

Good to know rules and rules of thumb

  • If your simulation shows numerical instabilities, a good idea is to increase dissipation. This means decreasing parameters $$\tau$$.
  • Optimal values for the dissipation timescales depends on the resolution of the horizontal grid. The higher the resolution, the more dissipation we need.