ICON and BCON conversion from CB06 to CRACMM2

Hello,

I looked for any related discussions on converting ICON and BCON files from the CB06 mechanism to CRACMM2, but couldn’t find relevant guidance.

From what I understand, setting ICON and BCON to use the default profiles (even just to generate a skeleton that could later be populated with values from another model ) does not consider the CRACMM2 mechanism. Is that why the map2chem directories exist in both the ICON and BCON folders?

I attempted to run the conversion scripts, but they appear to require variables like RH, P, and TA, referenced in SpecDef_cracmm1_aq_derived_from_cb6r5m_ae7_aq.txt. However, I don’t believe ICON or BCON provide these fields.

Any instructions or recommendations for preparing and running CMAQ 5.5 with CRACMM2 would be greatly appreciated.

Thanks!
Amir Souri
NASA GSFC / GESTAR II

I guess, I can just comment those variables in the txt file. But I was wondering if this would introduce a problem later on.

Does anyone have a CRACMM2 version of this: “avprofile_cb6r3m_ae7_kmtbr_hemi2016_v53beta2_m3dry_col051_row068.csv”

Hi Amir, This SpecDef you mention can be used to convert existing CB6 ic/bc to CRACMM. The largest set of existing CMAQ simulations that you could convert are from the EQUATES project: https://dataverse.unc.edu/dataset.xhtml?persistentId=doi:10.15139/S3/F2KJSK (see Foley et al. Dib).

You could also make a profile for CB6 and convert to CRACMM.

Havala

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I see. I ended up using Barron’s tool to populate the compounds based on GEOS-CF: GitHub - barronh/geoscf2bc: Create lateral boundary conditions from GEOS-CF for CMAQ. Like aqmbc, but specifically for GEOS-CF.

Great! aqmbc comes with CRACMM mappings if anyone needs them.

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Hi Amir,
Just chiming in and complementing Havala’s suggestions. I faced some issue while trying to convert the hemispherical file CCTM_CONC_v53beta2_intel17.0_HEMIS_cb6r3m_ae7_kmtbr_m3dry_2016_quarterly_av.nc (didn’t really investigate the issue so I cannot tell you why it failed). From all the available data, you might want to consider using the monthly 108NHEMIS files as they convert without any issue and are available from several sources (including Google Drive and S3 buckets). We have converted (and time shifted) them several times and they are a better starting point for production jobs. The only drawback is if your domain falls in the southern hemisphere, but that is a probably a topic for a different thread.
Arturo Fernandez
Odycloud