Add scaling of DIB and DISMF by running mean of removed Antarctic ice runoff

[xylar]

This merge adds a capability by which data iceberg (DIB) freshwater fluxes and data ice-shelf melt fluxes (DISMF) can be scaled by the running mean of the the amount of ice (solid) runoff coming from Antarctica (which is removed from the system by MPAS-Ocean).

This merge includes:

• A capability in MPAS-Ocean to compute daily averages of the area integrated removed ice runoff
• A capability in MPAS-Ocean to compute the running mean of these daily means over a given period of time (currently 20 years = 7300 days)
• A capability to pass this running mean through the coupler (via the field rmean_rmv_ice_runoff in the infodata datastructure) from MPAS-Ocean to MPAS-Seaice
• A requirement that the the total annual mean DIB and DISMF fluxes be computed and stored in the DIB and DISMF input files (fulfilled by Add area integrated annual mean to data iceberg and ice-shelf flux files MPAS-Dev/compass#836). These files are currently only available for the IcoswISC30E3r5 mesh.
• Capabilities to compute a scale factor between the annual mean total data freshwater flux and the running mean of the removed ice runoff in both MPAS-Ocean and MPAS-Seaice
• A capability to scale landIceFreshwaterFlux and landIceHeatFlux in MPAS-Ocean by the scale factor
• A capability to scale bergFreshwaterFlux and bergLatentHeatFlux in MPAS-Seaice by the scale factor

The capability is described in more detail in this design document
https://acme-climate.atlassian.net/wiki/spaces/PSC/pages/4210098268/Design+Document+Data+iceberg+and+ice-shelf+melt+flux+patterns+for+E3SM+runs

[xylar]

I've clearly got some debugging to do on restarts:

[xylar]

The history part of the running mean is working. Here is a Hovmoller plot of the history (time on the x axis and retained history of total removed runoff on the y axis):

This is a 1-year running mean, so there are 366 entries. As expected, the history fills up for the first year and then begins to cycle for subsequent years.

The resulting running mean, computed offline is correct (in blue) and matches the value computed online in the code (orange) except for the restart glitches.

[xylar]

I have also fixed the restart problem (which was also an alarm problem). I will post once the test I'm running has completed.

[xylar]

Here is the result of a 12-day run with daily restarts and a 6-day running mean. There are no longer glitches at each restart interval.

Scaled DIB and DISMF:

Here is the Hovmoller plot of the history of total removed runoff, similar to above but for 12 days (x axis) and a 6-day running-mean interval (y axis).

Now that restarts are working, I'll redo the 5-year run.

[xylar]

My new test:

ERS_P1280.ne30pg2_r05_IcoswISC30E3r5.CRYO1850-DISMF.chrysalis_intel.mpaso-scaled_dib_dismf

passes!!!

[xylar]

I ran 2 10-year B-cases, one with WCYCL1850 and one with CRYO1850_DISMF and with these scalings turned on. See analysis here:
https://web.lcrc.anl.gov/public/e3sm/diagnostic_output/ac.xasay-davis/mpas_analysis/
In particular, the main vs. control is here:
https://web.lcrc.anl.gov/public/e3sm/diagnostic_output/ac.xasay-davis/mpas_analysis/20240810.scaled_dib_dismf_vs_wcycl/yrs5-10/

Most changes look like ensemble-level variability to me. The exceptions are the Antarctic sea floor temperature and salinity:


particularly in the Amundsen and Bellingshausen Sea regions, and corresponding transects and Hovmoller plots:

[xylar]

@cbegeman and @jonbob, if you could have a look at both the analysis output and the code, and let me know if you have concerns, I'd very much appreciate it. The design doc linked above may be helpful.

[xylar]

@cbegeman, it would also be helpful if we talk about next steps. At the very lease, it would make sense to run a longer simulation to make sure the balance approach is actually working as expected. I think that probably would involve a WCYCL spin-up but with E3SM-Project#6413 turned on (checking with @chloewhicker to make sure we just need to set setting use_firn_percolation_and_compaction = .true.) and a corresponding spin-up that also has this feature turned on.

Also, I am seeing imbalances in the conservation check but I think those are expected because we only expect balance at quasi-steady state, not throughout the simulation:
https://web.lcrc.anl.gov/public/e3sm/diagnostic_output/ac.xasay-davis/mpas_analysis/20240810.scaled_dib_dismf_vs_wcycl/yrs5-10/ocean/index.html#timeseries
What do you think?

[xylar]

Oh, we also need E3SM-Project#6501

[chloewhicker]

I don't have a spin up with use_firn_percolation_and_compaction = .true., I do have one with the deep snowpack, which also property routes the excess snow/water/ice mass. Please let me know if you want that or if you need a short spin up. Although, you should be able to run from a branch and change use_firn_percolation_and_compaction = .true.

[xylar]

@chloewhicker, the thing I wanted to check with you about is just if setting:

use_firn_percolation_and_compaction = .true.

is sufficient to get your new approach to ice runoff, the one we had discussed this spring. I'm planning to do both the "control" spin-up with your ice runoff feature turned on and the other spin-up with both your ice runoff and this feature to redistribute that runoff with the data iceberg and ice-shelf melt patterns.