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- Reformulate forcing in theta instead of temperature and/or in terms of height instead of pressure - yes! See Tom's branch.
- Reduce
reference_reset_time- seems to help -
Try cappingdtheta- doesn't work -
Scaledthetaby a factor - works with 0.01 for example (but the resulting circulation is not quite right) -
Scaledthetaby a factor and increment it gradually - doesn't work -
Try filtering using the cartesian wind components - makes the model stable but the jet is retrograde. Trying with a scaling factor, doesn't really help -
Try Rayleigh damping - nope - Divergence damping Add divergence damping #10
- Temperature diffusion Add temperature diffusion option #8 (needs extended mesh to avoid grid imprinting!)
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Try higher mesh resolutionsDoesn't seem to help -
Try different vertical resolutionsditto -
Try stretched meshditto - Try implicit timestepping (Backward Euler) for the temperature increment
- Try making sure we are consistent with our assumptions about which of density or exner is kept constant, which would mean either: (a) assuming that density is constant, so that we include the d(exner)/dt term in calculating the increment to theta, or (b) assuming that exner is constant, so that we then increment density
- Try extending SHJ to lower/higher pressures and stronger day-night gradient
Related: #28
LFRic-Apps ticket: https://code.metoffice.gov.uk/trac/lfric_apps/ticket/690
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