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FFSL linear model transport#414

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James Kent (jameskent-metoffice) wants to merge 4 commits intoMetOffice:mainfrom
jameskent-metoffice:ffsl_linear_transport
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FFSL linear model transport#414
James Kent (jameskent-metoffice) wants to merge 4 commits intoMetOffice:mainfrom
jameskent-metoffice:ffsl_linear_transport

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@jameskent-metoffice James Kent (jameskent-metoffice) commented Apr 2, 2026

PR Summary

Sci/Tech Reviewer: cjohnson-pi
Code Reviewer:

The linear model currently uses MoL transport. Using FFSL should improve performance and mean we use the same transport scheme for linear and non-linear transport.

This PR has added the tangent linear FFSL code. I have created the control routines for horizontal and vertical transport, and then used the existing FFSL kernels. This builds on the split transport routine added in PR#149.

The linear transport has two parts, u' dot grad(ls_f) and ls_u dot grad(f'). For the u' dot grad(ls_f) term, as this is a flux-form semi-Lagrangian method, we need to first transport ls_f by ls_u, and then compute the flux using u' with this. This is documented in the code.

I have added a C12 test using FFSL (for both azspice and ex1a) and also a C224 test. The C224 test is run with a smaller dt than the MoL version - this is due to the stability of FFSL depending on the Lipschitz number and any stability fixes we use being non-linear in nature.

Results for C12 NWP Linear Model Test:

This is MoL on trunk showing u:

linear_model-nwp-gal9_C12-u_in_w3-time14400 0

This is FFSL showing u:

linear_model-nwp-gal9_C12-u_in_w3-time14400 0

This is MoL on trunk showing theta:

linear_model-nwp-gal9_C12-theta-time14400 0

This is FFSL showing theta:

linear_model-nwp-gal9_C12-theta-time14400 0

FFSL has produced larger velocities and theta values near the model top.

Code Quality Checklist

  • I have performed a self-review of my own code
  • My code follows the project's style guidelines
  • Comments have been included that aid understanding and enhance the readability of the code
  • My changes generate no new warnings
  • All automated checks in the CI pipeline have completed successfully

Testing

  • I have tested this change locally, using the LFRic Apps rose-stem suite
  • If any tests fail (rose-stem or CI) the reason is understood and acceptable (e.g. kgo changes)
  • I have added tests to cover new functionality as appropriate (e.g. system tests, unit tests, etc.)
  • Any new tests have been assigned an appropriate amount of compute resource and have been allocated to an appropriate testing group (i.e. the developer tests are for jobs which use a small amount of compute resource and complete in a matter of minutes)

trac.log

Security Considerations

  • I have reviewed my changes for potential security issues
  • Sensitive data is properly handled (if applicable)
  • Authentication and authorisation are properly implemented (if applicable)

Performance Impact

  • Performance of the code has been considered and, if applicable, suitable performance measurements have been conducted

AI Assistance and Attribution

  • Some of the content of this change has been produced with the assistance of Generative AI tool name (e.g., Met Office Github Copilot Enterprise, Github Copilot Personal, ChatGPT GPT-4, etc) and I have followed the Simulation Systems AI policy (including attribution labels)

Documentation

  • Where appropriate I have updated documentation related to this change and confirmed that it builds correctly

PSyclone Approval

  • If you have edited any PSyclone-related code (e.g. PSyKAl-lite, Kernel interface, optimisation scripts, LFRic data structure code) then please contact the TCD Team

Sci/Tech Review

  • I understand this area of code and the changes being added
  • The proposed changes correspond to the pull request description
  • Documentation is sufficient (do documentation papers need updating)
  • Sufficient testing has been completed

(Please alert the code reviewer via a tag when you have approved the SR)

Code Review

  • All dependencies have been resolved
  • Related Issues have been properly linked and addressed
  • CLA compliance has been confirmed
  • Code quality standards have been met
  • Tests are adequate and have passed
  • Documentation is complete and accurate
  • Security considerations have been addressed
  • Performance impact is acceptable

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