the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Baseline Climate Variables for Earth System Modelling
Abstract. The Baseline Climate Variables for Earth System Modelling (ESM-BCVs) are defined as a list of 132 variables which have high utility for the evaluation and exploitation of climate simulations. The list reflects the most heavily used elements of the Coupled Model Intercomparison Project phase 6 (CMIP6) archive. Successive phases of CMIP have supported strong results in science and substantial influence in international climate policy formulation. This paper responds both to interest in exploiting CMIP data standards in a broader range of climate modelling activities and a need to achieve greater clarity about the significance and intention of variables in the CMIP Data Request. As Earth System Modelling (ESM) archives grow in scale and complexity there are emerging problems associated with weak standardisation at the variable collection level. That is, there are good standards covering how specific variables should be archived, but this paper fills a gap in the standardisation of which variables should be archived. The ESM-BCV list is intended as a resource for ESM Model INtercomparison Projects (MIPs) developing requests to enable greater consistency among MIPs, and as a reference for modelling centres to enhance consistency within MIPs. Provisional planning for the CMIP7 Data Request exploits the ESM-BCVs as a core element. The baseline variables list includes 98 variables which have modest or minor data volume footprints and could be generated systematically when simulations are produced and archived for exploitation by the WCRP community. A further 34 variables are classed as high volume and are only suitable for production when the resource implications are justified.
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Status: open (until 17 Oct 2024)
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CC1: 'Comment on egusphere-2024-2363', Anne Marie Treguier, 30 Aug 2024
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Dear authors,
Congratulations for this manuscript! I would like to share a suggestion. Some of the variables proposed in the list are not simple physical parameters like temperature. An example is Omon.mlotst, the ocean mixed layer depth. Its computation requires making nontrivial choices. It would be useful to add for each variable a reference to the paper that documents the method, for example Griffies et al., 2016 https://doi.org/10.5194/gmd-9-3231-2016 for ocean variables. If a change in method is decided relative to the existing reference, this change should also be documented and referenced (this may be the case for Omon.mlotst).
Best regards,
Anne Marie Treguier
Citation: https://doi.org/10.5194/egusphere-2024-2363-CC1 -
CC2: 'Comment on egusphere-2024-2363', Isla Simpson, 05 Sep 2024
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I have just a minor comment as I was using this paper as I prepared some opportunities for the CMIP7 data request and I couldn't find the information on what the pressure levels actually are for the various options i.e., the 19, 8 and 3 pressure level options for the atmosphere. I think it would be helpful to have what those pressure levels are actually listed so that this could be a stand alone resource for people to find out about the options available to them from these baseline variables. Sorry if I've missed it somewhere.
Citation: https://doi.org/10.5194/egusphere-2024-2363-CC2 -
CC3: 'Comment on egusphere-2024-2363', Alistair Adcroft, 06 Sep 2024
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I'm surprised to see Oday.sos (surface salinity) but not Oday.zos (table A6). I'm unclear what the purpose of sos is at such high frequency? I believe daily zos (and zostoga) would be more widely used (e.g for local sea-level analysis, mesoscale activity, ...) and should be a baseline variable.
Citation: https://doi.org/10.5194/egusphere-2024-2363-CC3 -
CC4: 'Comment on egusphere-2024-2363', Baylor Fox-Kemper, 06 Sep 2024
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This is a critically important topic, and it will inform all of the CMIP7 results. I have two suggestions (at this moment) for alterations.
1) Omon.zos should be converted to Oday.zos. The daily sea level is important for extreme event diagnosis (as tos and sos are). This variable is a critical one for both impacts and input for downscaling, and is particularly revealing in showing the *failures* of coarse resolution models to reproduce SSH variance as high resolution models do (see Fig. 9.12 of AR6 WGI, panels g-i, which had to be created using resources outside of CMIP6 ones because 0day.zos was not included).
2) There is an issue with only collecting bigthetao, in that most ocean models do not use the TEOS-10 equation of state. McDougall et al. made a recommendation to address this point (https://doi.org/10.5194/gmd-14-6445-202), but the data details for thetao and bigthetao presently do not allow this option (use whichever is the model "native" variable to calculate OHCA.). Thus, at a bare minimum *either* bigthetao or thetao, whichever is the model native, should be in Omon here. Furthermore, there is an ongoing assessment within the OMIP team noting that bigthetao cannot be compared to observations easily, which are presently mostly categorized in observational climatologies via thetao. Thus, even if a model is using bigthetao, a comparison to observations (e.g., AR6 many figures comparing temperature and OHCA to observed temperatures and OHCA in Chps 2, 7, 9, 10, 11...).
Citation: https://doi.org/10.5194/egusphere-2024-2363-CC4
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