Overly bright SWCF in latest tags (post cam6_3_095?) #225
Replies: 13 comments 52 replies
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The emitb4turb update in cam6_3_099 leads to a 25% increase in dust, and probably other species as well ... so that could serve to nucleate more clouds. Do we have a sense what direction the SWCF will go when we couple with MOM6? Make the bias worse, or better? |
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After finally realizing I had requested 18000 tasks for these tests and waiting for a day or two in the queue wondering what was wrong, I finally changed NTASKS to a more reasonable 1800 and they finally completed. Here's a table of the out-of-the-box SWCF global mean values for tags 092-099 (with the exception of 093 and 094). These are all 14-month runs, L58, cam_dev. I make no namelist changes at all except for the 58-level grid file and interpolation.
Thus assuming I did everything correctly, it seems like the 095 tag may have increased SWCF (assuming it wasn't 093 or 094), but the 096 and 097 tags took it even higher. The 099 tag actually seems to have brought it back somewhat, counterintuitive according to what @adamrher suggested above. Of course this is just a set of L58 cam_dev F2000climo runs---I don't know how sensitive SWCF is to the different kinds of grid and compset combinations etc. |
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Adding this comment to note that I've updated the table above for the 093 and 094 tags in case my edit doesn't alert interested parties. |
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Here are the diagnostics from a couple of tests I did adjusting the values of clubb_gamma_coef and clubb_c8 for the 099 tag, L58, cam_dev, F2000climo. In the gamma case, I used a value of 0.32 (up from 0.27), and in the c8 case, I used a value of 3.6 (down from 4.2). Both tests show a more reasonable global mean SWCF, but it looks to me like the brights are too bright and dims are too dim in both cases. https://webext.cgd.ucar.edu/F2000climo/dflt099_c8/atm/dflt099_c8-obs.0001_1/ https://webext.cgd.ucar.edu/F2000climo/dflt099_gamma/atm/dflt099_gamma-obs.0001_1/ |
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For reference here are diagnostics for the out-of-the-box 099 tag (L58, cam_dev, F2000climo, 14-months): |
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Just FYI, after speaking with @JulioTBacmeister this morning I tried several tests with modified sea salt and dust parameters, and they didn't affect SWCF much. Thought I'd post here just so people are aware in case it's interesting. Other than the specifified parameter change, these are out-of-the-box 099, L58, cam_dev, 1-year, F2000climo runs:
I thought it was interesting that both decreasing and increasing seasalt_emis_scale caused the SWCF to drop from the out-of-the-box value (-50.02 as in the table above), albeit only slightly. |
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Looks to me like 096-095 had more effect on the subtropical stratus than 092-093. It would be good to get a similar comparison of the sea-salt experiments even though the global effect looks tiny. It seems to me that we should be looking at how to dim the mixed phase clouds in the Southern Ocean - more ice? |
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Since increasing dust_emis_fact brought the SWCF down a bit, I tried a much larger increase, dust_emis_fact=3.6. This seems like a pretty weak tuning knob; this increase from 0.9 did bring the SWCF down another 1W/m2, but overall looks pretty similar to me in the spatial pattern. I don't know what realistic bounds there would be on this parameter but it seems like we would have to make it quite large relative to its default value to bring the SWCF down to around -45W/m2 (near the new CERES-EBAF global mean). |
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Hi all, I checked, the most reasonable value for dust is 0.8, so if you increase the factor (decrease dust) we are getting out of reasonable tuning values. If it has little impact, I am not sure it is reasonable to do this. |
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@andrewgettelman what do you think about changing the dust scaling factor of het freez? |
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@tilmes Ill wait for andrew to chime in, but that could be helpful. I think this parameter tends to increase ice number in NH quite a bit (b/c of all the dust sources) and it looks like from Ben's LWCF plot, that we are biased low in the NH storm track regions by about 10 W/m2. But I also recall that large changes in ice number don't always map onto changes in cldice, and so this isn't the most direct way to impact LWCF. I dug up an email exchange with Chuck, Doug and Rolando from Mar 2022, where we had looked into modifying the ice fall velocities to address the UTLS drying due to increased vertical resolution, and It was effective in that regard. So It seems we've come full circle in that our UTLS moisture bias and this LWCF bias are mutually benefitting from modifying At that time, we hard coded scaling the cldice fallspeeds by 0.2. Similar to what Andrew is saying about a value of 0.1, at the time we couldn't defend the 0.2, and decided that some combination of smaller perturbation than 0.2 (like the 0.5 that Andrew is suggesting is defensible) and reducing dcs could achieve our goals. Sound familiar? I did look into what we get out of decreasing vrtmi_factor=1.0->0.5 w.r.t the UTLS moisture bias. It's about 20-30% increase in Q: But compare this to changing the vtrmi_factor = 0.5->0.1, which has a much larger impact on the UTLS: If the Q changes are indicative of the ice changes, we may not get as pretty LWCF bias plots as in the 0.1 run, but we'll see what Ben is able to do with a value of 0.5 and lower dcs. |
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We've noticed that in the latest tags the magnitude of SWCF is too large, more like -49 W/m^2. I am currently running a series of out-of-the-box cam_dev tests with each tag starting with cam6_3_095, to see how this problem evolved with the latest tags or if one tag in particular is mostly responsible. So far I can say that in the 092 tag, the out-of-the-box L58 cam_dev global mean SWCF was -47.59, while in the 095 tag it was -48.63. My tests for the other tags should complete today, hopefully, and I can include those results here. @adamrher I think may have more to say about this problem, I believe he thought it might be related to the "emitb4turb" update?
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