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It would be great if POP and MARBL could combine to generate FEISTY forcing directly, rather than FEISTY users post-processing existing diagnostics to generate forcing file.
Details
To run FEISTY, we use the following forcing fields:
Average temperature over top 150m of column
Temperature at bottom of column
POC flux to seafloor
Total mesozooplankton biomass over top 150m of column
Total mortality loss of mesozooplankton over top 150m of column
We need to add these to POP:
Average temp over top 150m
Temperature at bottom of column
Integral of ((zoo))C over 150 m for all ((zoo)) tracers (we just want this for mesozoo)
We need to add these to MARBL:
POC flux at KMT
Integral of zoo_loss over top 150 m
Notes
POP can already output tracer integrals over 100m (e.g. zooC_zint_100m), and MARBL can compute zoo_loss_zint_100m so for first test we can use these built-in variables (and compute average temperature over top 100m). This would still require two new POP diagnostics: TEMP_mean_100m and TEMP_bottom. We also need POC_flux_bottom in MARBL.
At the end of Section 2.1 in her paper, Colleen actually uses 100m means / integrals. Do we really want 150m, or is 100m sufficient?
The text was updated successfully, but these errors were encountered:
Summary of issue
It would be great if POP and MARBL could combine to generate FEISTY forcing directly, rather than FEISTY users post-processing existing diagnostics to generate forcing file.
Details
To run FEISTY, we use the following forcing fields:
We need to add these to POP:
((zoo))C
over 150 m for all((zoo))
tracers (we just want this for mesozoo)We need to add these to MARBL:
zoo_loss
over top 150 mNotes
zooC_zint_100m
), and MARBL can computezoo_loss_zint_100m
so for first test we can use these built-in variables (and compute average temperature over top 100m). This would still require two new POP diagnostics:TEMP_mean_100m
andTEMP_bottom
. We also needPOC_flux_bottom
in MARBL.The text was updated successfully, but these errors were encountered: