Brazilian Earth System Model: CMIP5 Sea ice concentration and Air Temperature data

• Main Authors: Casagrande, Fernanda, Souza, Ronald Buss, Nobre, Paulo, Lanfer, Andre Marquez
• Format: Dataset
• Language: English
• Published: Zenodo 2020
• Subjects: Air Temperature; Sea ice; Morrison; Fernandez; Barros; Ramirez; Figueroa
• Online Access: https://dx.doi.org/10.5281/zenodo.4072352; https://zenodo.org/record/4072352

The Brazilian Earth System Model, Version 2.5 (BESM-OAV2.5) used here is a global climate coupled ocean-atmosphere-sea ice model, and is part of CMIP5 project. The atmospheric component of BESM-OAV2.5 is BAM (Brazilian Atmospheric Model) and was described in detail by Figueroa et al., (2016). BAM, developed at Center for Weather Forecasting and Climate Studies of the National Institute for Space Research CPTEC-INPE has been constantly reformulated over the last years (Figueroa et al., 2016; Nobre et al., 2013). The lastest version, used here and described by Veiga et al., (2019), has spectral horizontal representation truncated at triangular wave number 62, grid resolution of approximately 1.875∘×1.875∘, and 28 sigma levels in the vertical, with unequal increments between the vertical levels (i.e., a T62L28). The oceanic component of BESM-OAV2.5 is the Modular Ocean Model, Version 4p1, from National Oceanic and Atmospheric Administration-Geophysical Fluid Dynamics Laboratory (MOM4p1/NOAA-GFDL), described in detail by Griffies, (2009). The MOM4p1 includes a Sea Ice Simulator (SIS) built-in ice model (Winton 2000). The SIS has five ice thickness categories and three vertical layers (one snow and two ice). To calculate ice internal stresses are used the elastic-viscous-plastic technique described by Hunke and Dukowicz, (1997). The thermodynamics is given by a modified Semtner’s three-layer scheme (Semtner, 1976). SIS is able to calculate sea ice concentration, snow cover, thickness, brine content and temperature. Furthermore, SIS calculates ice-ocean fluxes and transmits fluxes between atmosphere and ocean. The horizontal grid resolution of MOM4p1 in the longitudinal direction is a set to 1˚. The latitudinal direction varies uniformly, in both hemispheres, from 1∕4 o between 10 o S and 10 o N to 1 o of resolution at 45 o and to 2 o of resolution at 90 o . The vertical axis has 50 levels (upper 220m, has 10 m resolution, increasing to about 360 at deeper levels. The MOM4p1 and BAM models were coupled using FMS coupler. FMS coupled was developed by NOAA-GFDL. The BAM model receives SST and ocean albedo from MOM4p1 and SIS (hour by hour). The MOM4p1 receives momentum fluxes, specific humidity, pressure, heat fluxes, vertical diffusion of velocity components and freshwater. This study used two numerical experiments from CMIP5: (i) piControl: it runs for 700 years, forced by invariant pre-industrial atmospheric CO 2 concentration level (280ppmv) and (ii) Abrupt 4xCO 2 : it runs for 460 years, comprising an abrupt instantaneous quadrupling of atmospheric CO 2 level concentration from the piControl simulation. The design of both experiments follows the CMIP5 protocol (Taylor et al., 2012). : {"references": ["Figueroa, S. N., Bonatti, J. P., Kubota, P. Y., Grell, G. A., Morrison, 5 H., Barros, S. R. M., Fernandez, J. P. R., Ramirez, E., Siqueira, L., Luzia, G., Silva, J., Silva, J. R., Pendharkar, J., Capistrano, V. B., Alvim, D. S., Enor\u00e9, D. P., Diniz, F. L. R., Satyamurti, P., Cavalcanti, I. F. A., Nobre, P., Barbosa, H. M. J., Mendes, C. L., and Panetta, J.: The Brazilian Global Atmospheric Model (BAM): 10 Performance for Tropical Rainfall Forecasting and Sensitivity to Convective Scheme and Horizontal Resolution, Weather Forecast., 31, 1547\u20131572, https://doi.org/10.1175/WAF-D-16- 0062.1, 2016.", "Griffies, S. M.: Elements of MOM4p1, NOAA/Geophysical Fluid Dynamics Laboratory Ocean Group Tech. Rep. 6, 444 pp., 2009.", "Hunke, E. C. and Dukowicz, J. K.: An Elastic\u2013Viscous\u2013Plastic Model for Sea Ice Dynamics, J. Phys. Oceanogr., 27, 19, 1997.", "Nobre, P., Siqueira, L. S. P., de Almeida, R. A. F., Malagutti, M., Giarolla, E., Castel\u00e3o, G. P., Bottino, M. J., Kubota, P., Figueroa,S. N., Costa, M. C., Baptista, M., Irber, L., and Marcondes, G. G.: Climate Simulation and Change in the Brazilian Climate Model, J. Climate, 26,6716\u20136732, https://doi.org/10.1175/JCLI-D-12- 10500580.1, 2013.", "Winton, M.: A reformulated three-layer sea ice model, J. Atmos. Ocean. Tech., 17, 525\u2013531, 2000", "Taylor, K. E., Stouffer, R. J. and Meehl, G. A.: An Overview of CMIP5 and the Experiment Design, Bull. Amer. Meteor. Soc., 93(4), 485\u2013498, doi:10.1175/BAMS-D-11-00094.1, 2012."]}