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  • Bretherton, C.S. and Park, S., 2009: A new moist turbulence parameterization in the Community Atmosphere Model. Journal of Climate, 22, 3422–3448

  • Chou, M.D. and Suarez, M.J., 1999: A solar radiation parameterization (CLIRAD-SW) for atmospheric studies. Suarez, M.J. (Ed.). Series on Global Modeling and Data Assimilation. Report number: NASA/TM-1999-104606/VOL15, pp 40.

  • Chou, M.-D., Suarez, M.J., Liang, X.-Z., Yan, M.M.-H. and Cote, C., 2001: A thermal infrared radiation parameterization for atmospheric studies. Report number: NASA/TM-2001-104606/VOL19

  • Coelho, C. A. S., de Souza, D. C., Kubota, P. Y., Costa, S. M. S., Menezes, L., Guimarães, B. S., Figueroa, S. N., Bonatti, J. P., Cavalcanti, I. F. A., Sampaio, G, Klingaman, N. P., Baker, J. C. A., 2021: Evaluation of climate simulations produced with the Brazilian global atmospheric model version 1.2. Climate Dynamics. 56, 873- 898. https://doi.org/10.1007/s00382-020-05508-8

  • Coelho, C. A. S., Baker, J. C. A., Spracklen, D. V., Kubota, P. Y. Souza, D. C., Guimarães, B. S., Figueroa, S. N., Bonatti, J. P., Sampaio, G., Klingaman, N. P., Chevuturi, A., Woolnough, S. J., Hart, N., Zilli, M., Jones, C. D., 2022: A perspective for advancing climate prediction services in Brazil. Climate Resilience and Sustainability. https://doi.org/10.1002/cli2.29

  • Dee, D.P., Uppala, S.M., Simmons, A.J., Berrisford, P., Poli, P., Kobayashi, S., Andrae, U., Balmaseda, M.A., Balsamo, G., Bauer, D.P., Bechtold, P., ACM, B., van de Berg, L., Bidlot, J., Bormann, N., Delsol, C., Dragani, R., Fuentes, M., Geer, A.J., Haimberger, L., Healy, S.B., Hersbach, H., Hólm, E.V., Isaksen, L., Kållberg, P., Köhler, M., Matricardi, M., AP, M.N., Monge-Sanz, B.M., Morcrette, J.-J., Park, B.-K., Peubey, C., de Rosnay, P., Tavolato, C., Thépaut, J.-N. and Vitart, F., 2011: The ERA-Interim reanalysis: configuration and performance of the data assimilation system. Quarterly Journal of the Royal Meteorological Society, 137, 553–597

  • Guimaraes, B.S., Coelho, C.A.S., Woolnough, S.J., Kubota, P.Y., Bastarz, C.F., Figueroa, S.N., Bonatti, J.P., Souza, D.C., 2019: Configuration and hindcast quality assessment of a Brazilian global sub-seasonal prediction system. Quarterly Journal of the Royal Meteorological Society. Vol 146 (728). Pages 1067-1084. https://doi.org/10.1002/qj.3725

  • Guimarães, B. S., Coelho, C. A. S., Woolnough, S. J., Kubota, P. Y., Bastarz, C. F., Figueroa, S. N., Bonatti, J. P., de Souza, D. C., 2021: An inter-comparison performance assessment of a Brazilian global sub-seasonal prediction model against four sub-seasonal to seasonal (S2S) prediction project models. Climate Dynamics. 56. Pages 2359-2375. https://doi.org/10.1007/s00382-020-05589-5

  • Han, J. and Pan, H.L., 2011: Revision of convection and vertical diffusion schemes in the NCEP global forecast system. Weather and Forecasting, 26, 520–533.

  • Kubota, P.Y., 2012: Variability of storage energy in the soil-canopy system and its impact on the definition of precipitation standard in South America (in Portuguese with abstract in English). PhD thesis, São José dos Campos, Brazil, Instituto Nacional de Pesquisas Espaciais (INPE).

  • Mendonça AM, Bonatti J (2009) Experiments with EOF-based perturbation methods and their impact on the CPTEC/INPE ensemble prediction system. Mon Weather Rev 137:1438–1459

  • Morrison, H., Thompson, G. and Tatarskii, V., 2009: Impact of cloud microphysics on the development of trailing stratiform precipitation in a simulated squall line: comparison of one-and two-moment schemes. Monthly Weather Review, 137, 991–1007.

  • Slingo A., 1989: A GCM Parameterization for the Shortwave Radiative Properties of Water Clouds. Journal of the Atmospheric Sciences. 46 (10), 1419-1427. DOI: https://doi.org/10.1175/1520-0469(1989)046<1419:AGPFTS>2.0.CO;2
  • Tarasova, T.A. and Fomin, B.A., 2000: Solar radiation absorption due to water vapor: advanced broadband parameterizations. Journal of Applied Meteorology, 39, 1947–1951.

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