OMIP-BGC initial conditions

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OMIP-BGC modelers will need initial conditions for tracer fields that will be simulated in OMIP's  forced model runs.  All 13 of these three-dimensional fields may be downloaded all at once by using the shell script wget_omip_initconds.sh. Download that script to a new directory, then execute it with the following command:

bash wget_omip_initconds.sh

Alternatively,  download these files individually by clicking on the links below.  Some information on the initial fields are given below; more details are provided by Orr et al. (2017).

 

Initialization fields:

1. Abiotic fields needed only for spinup of ocmip1-spunup simulation: computed from temperature and salinity from the 2013 World Ocean Atlas (see below), preindustrial xCO2atm (284.325 ppm) from Meinshausen et al. (2017), and oceanic natural Δ14C from Key et al. (2004).

2. Fields for CO2 system (from GLODAPv2): gridded data from version 2 of the Global Ocean Data Analysis Project (GLODAPv2) from Lauvset et al. (2016), based on discrete measurements during WOCE and CLIVAR (Olsen et al., 2016). To initialize the CT field, OMIP-BGC modelers will use the preindustrial CT field already computed by Lauvset et al. (2016). The latter differs slightly from what is stated in Orr et al. (2017).

3. Nutrient fields from the 2013 World Ocean Atlas (Garcia et al., 2014b): Average of monthly means for December and January (available down to 500 m) combined with annual mean below 500 m

4. Other fields from 2013 World Ocean Atlas: Average of monthly means for December and January (available down to 1500 m) combined with annual mean below 1500 m. Oxygen is from Garcia et al. (2014a), temperature is from Locarni et al. (2013), and salinity is from Zweng et al. (2013).  The latter 2 fields are used to compute abiotic ATabio and CTabio as detailed in Orr et al. (2017).

5. Other fields:  DOC is from the adjoint model of R. Schlitzer  (Hansell et al., 2009), while dissolved iron is the median of models participating in the Iron Model Intercomparison Project (FeMIP, Tagliabue et al., 2016).

 

References:

Garcia, H. E., Locarnini, R. A., Boyer, T. P., Antonov, J. I., Baranova, O., Zweng, M., Reagan, J., and Johnson, D.: World Ocean Atlas 2013, Volume 3: Dissolved Oxygen, Apparent Oxygen Utilization, and Oxygen Saturation, Vol. 3, edited by: Levitus, S. and Mishonov, A., Atlas NESDIS 75, NOAA, US Government Printing Office, Washington, DC, 27 pp., 2014a.

Garcia, H. E., Locarnini, R. A., Boyer, T. P., Antonov, J. I., Baranova, O., Zweng, M., Reagan, J., and Johnson, D.: World Ocean Atlas 2013, Volume 4: Dissolved Inorganic Nutrients (phosphate, nitrate, silicate), Vol. 4, edited by: Levitus, S. and Mishonov, A., Atlas NESDIS 76, NOAA, US Government Printing Office, Washington, DC, 25 pp., 2014b.

Key, R. M., Sabine, C. L., Lee, K., Wanninkhof, R., Bullister, J., Feely, R. A., Millero, F. J., Mordy, C., and Peng, T.-H.: A Global ocean carbon climatology: Results from Global Data Analysis Project (GLODAP), Global Biogeochem. Cy., 18, GB4031, https://doi.org/10.1029/2004GB002247, 2004.

Hansell, D. A., Carlson, C. A., Repeta, D. J., and Schlitzer, R.: Dissolved organic matter in the ocean: A controversy stimulates new insights, Oceanography, 22, 202–211, 2009.

Lauvset, S. K., Key, R. M., Olsen, A., van Heuven, S., Velo, A., Lin, X., Schirnick, C., Kozyr, A., Tanhua, T., Hoppema, M., Jutterström, S., Steinfeldt, R., Jeansson, E., Ishii, M., Perez, F. F., Suzuki, T., and Watelet, S.: A new global interior ocean mapped climatology: the 11 GLODAP version 2, Earth Syst. Sci. Data, 8, 325–340, https://doi.org/10.5194/essd-8-325-2016, 2016.

Locarnini, R. A., A. V. Mishonov, J. I. Antonov, T. P. Boyer, H. E. Garcia, O. K. Baranova, M. M. Zweng, C. R. Paver, J. R. Reagan, D. R. Johnson, M. Hamilton, and D. Seidov, 2013. World Ocean Atlas 2013, Volume 1: Temperature. S. Levitus, Ed., A. Mishonov Technical Ed.; NOAA Atlas NESDIS 73, 40 pp.

Meinshausen, M., Vogel, E., Nauels, A., Lorbacher, K., Meinshausen, N., Etheridge, D. M., Fraser, P. J., Montzka, S. A., Rayner, P. J., Trudinger, C. M., Krummel, P. B., Beyerle, U., Canadell, J. G., Daniel, J. S., Enting, I. G., Law, R. M., Lunder, C. R., O'Doherty, S., Prinn, R. G., Reimann, S., Rubino, M., Velders, G. J. M., Vollmer, M. K., Wang, R. H. J., and Weiss, R.: Historical greenhouse gas concentrations for climate modelling (CMIP6), Geosci. Model Dev., 10, 2057-2116, doi:10.5194/gmd-10-2057-2017, 2017.

Olsen, A., Key, R. M., van Heuven, S., Lauvset, S. K., Velo, A., Lin, X., Schirnick, C., Kozyr, A., Tanhua, T., Hoppema, M., Jutterström, S., Steinfeldt, R., Jeansson, E., Ishii, M., Pérez, F. F., and Suzuki, T.: The Global Ocean Data Analysis Project version 2 (GLODAPv2) – an internally consistent data product for the world ocean, Earth Syst. Sci. Data, 8, 297–323, https://doi.org/10.5194/essd-8-297-2016, 2016.

 Orr, J. C., Najjar, R. G., Aumont, O., Bopp, L., Bullister, J. L., Danabasoglu, G., Doney, S. C., Dunne, J. P., Dutay, J.-C., Graven, H., Griffies, S. M., John, J. G., Joos, F., Levin, I., Lindsay, K., Matear, R. J., McKinley, G. A., Mouchet, A., Oschlies, A., Romanou, A., Schlitzer, R., Tagliabue, A., Tanhua, T., and Yool, A.: Biogeochemical protocols and diagnostics for the CMIP6 Ocean Model Intercomparison Project (OMIP), Geosci. Model Dev., 10, 2169-2199, https://doi.org/10.5194/gmd-10-2169-2017, 2017.

Tagliabue, A., Aumont, O., DeAth, R., Dunne, J. P., Dutkiewicz, S., Galbraith, E., Misumi, K., Moore, J. K., Ridgwell, A., Sherman, E., Stock, C., Vichi, M., Völker, C., and Yool, A.: How well do global ocean biogeochemistry models simulate dissolved iron distributions?, Global Biogeochem. Cy., 30, 149–174, https://doi.org/10.1002/2015GB005289, 2016.

Zweng, M.M, J.R. Reagan, J.I. Antonov, R.A. Locarnini, A.V. Mishonov, T.P. Boyer, H.E. Garcia, O.K. Baranova, D.R. Johnson, D.Seidov, M.M. Biddle, 2013. World Ocean Atlas 2013, Volume 2: Salinity. S. Levitus, Ed., A. Mishonov Technical Ed.; NOAA Atlas NESDIS 74, 39 pp.