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Previously you have carried out an OpenIFS control experiment of Tropical Cyclone Karl.  In this tutorial you will learn:

  • How to include output physical tendencies and fluxes in OpenIFS
  • How to scale temperature tendencies in a rectangular domain

Latent Heat Fluxes

The scientific presentations during the morning programme of the workshop have given examples for how cyclogenesis in general and the life cycle of tropical storms in particular are sensitive to temperature dependencies from physical processes, such as convection.

In the perturbation experiments it is possible to modify temperature tendency contributions from the model physics (cloud, convection and radiation) in a specific region.

The temperature tendencies are produced through model dynamics and model physics:


\[ \frac{dT}{dt} = \frac{dT}{dt}(\mbox{dynamics}) + \frac{dT}{dt}(\mbox{physics}) \]

with 

\[ \frac{dT}{dt}(\mbox{physics}) = \frac{dT}{dt}(\mbox{convection}) + \frac{dT}{dt}(\mbox{clouds}) + \frac{dT}{dt}(\mbox{radiation}) \]

The contributions from the individual physical tendencies can be output in OpenIFS as an additional diagnostic using the PEXTRA output.

The additional PEXTRA diagnostics have already been set up in this workshop's model experiment.

For reference and to learn how to enable this diagnostic output in OpenIFS please find the documentation here

Regional scaling of tendencies

Our version of OpenIFS used in this workshop includes an additional source branch which permits regional modification of the physical tendencies in a rectangular box domain.

Moreover, this rectangular box domain can be defined in location and size, and it moves linearly in time with a constant longitudinal and latitudinal vector. The movement rate can be defined but stays constant during the experiment.

The intention is to capture the location of TC Karl with the box and modify physical temperature tendencies in this location.

For this to succeed the size of the box and it's movement direction and movement rate need to be defined.  Note that the picture below is only illustrative and the shown box does not reflect the default values set in the model. 

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