@Article{MolodHVZBVBKMSLLACKACCFLNP:2020:GMHiCo,
               author = "Molod, Andrea and Hackert, Eric and Vikhliaev, Yury and Zhao, Bin 
                         and Barahona, Donifan and Vernieres, Guillaume and Borovikov, Anna 
                         and Kovach, Robin M. and Marshak, Jelena and Schubert, Siegfried 
                         and Li, Zhao and Lim, Young-Kwon and Andrews, Lauren C. and 
                         Cullather, Richard and Koster, Randal and Achuthavarier, Deepthi 
                         and Carton, James and Coy, Lawrence and Freire, Julliana Larise 
                         Mendon{\c{c}}a and Longo, Karla Maria and Nakada, Kazumi and 
                         Pawson, Steven",
          affiliation = "Goddard Space Flight Center, NASA and Goddard Space Flight Center, 
                         NASA and Goddard Space Flight Center, NASA and Goddard Space 
                         Flight Center, NASA and Goddard Space Flight Center, NASA and UCAR 
                         and Goddard Space Flight Center, NASA and Goddard Space Flight 
                         Center, NASA and Goddard Space Flight Center, NASA and Goddard 
                         Space Flight Center, NASA and Goddard Space Flight Center, NASA 
                         and Goddard Space Flight Center, NASA and Goddard Space Flight 
                         Center, NASA and Goddard Space Flight Center, NASA and Goddard 
                         Space Flight Center, NASA and Goddard Space Flight Center, NASA 
                         and Goddard Space Flight Center, NASA and Goddard Space Flight 
                         Center, NASA and {Instituto Nacional de Pesquisas Espaciais 
                         (INPE)} and {Instituto Nacional de Pesquisas Espaciais (INPE)} and 
                         Goddard Space Flight Center, NASA and Goddard Space Flight Center, 
                         NASA",
                title = "GEOS-S2S version 2: the GMAO high-resolution coupled model and 
                         assimilation system for seasonal prediction",
              journal = "Journal of Geophysical Research: Atmospheres",
                 year = "2020",
               volume = "125",
               number = "5",
                pages = "e0131767",
                month = "Mar.",
             abstract = "The Global Modeling and Assimilation Office (GMAO) has recently 
                         released a new version of the Goddard Earth Observing System 
                         (GEOS) Subseasonal to Seasonal prediction (S2S) system, 
                         GEOS-S2S-2, that represents a substantial improvement in 
                         performance and infrastructure over the previous system. The 
                         system is described here in detail, and results are presented from 
                         forecasts, climate equillibrium simulations, and data assimilation 
                         experiments. The climate or equillibrium state of the atmosphere 
                         and ocean showed a substantial reduction in bias relative to 
                         GEOS-S2S-1. The GEOS-S2S-2 coupled reanalysis also showed 
                         substantial improvements, attributed to the assimilation of 
                         along-track absolute dynamic topography. The forecast skill on 
                         subseasonal scales showed a much improved prediction of the 
                         Madden-Julian Oscillation in GEOS-S2S-2, and on a seasonal scale 
                         the tropical Pacific forecasts show substantial improvement in the 
                         east and comparable skill to GEOS-S2S-1 in the central Pacific. 
                         GEOS-S2S-2 anomaly correlations of both land surface temperature 
                         and precipitation were comparable to GEOS-S2S-1 and showed 
                         substantially reduced root-mean-square error of surface 
                         temperature. The remaining issues described here are being 
                         addressed in the development of GEOS-S2S Version 3, and with that 
                         system GMAO will continue its tradition of maintaining a 
                         state-of-the-art seasonal prediction system for use in evaluating 
                         the impact on seasonal and decadal forecasts of assimilating newly 
                         available satellite observations, as well as evaluating additional 
                         sources of predictability in the Earth system through the expanded 
                         coupling of the Earth system model and assimilation components.",
                  doi = "10.1029/2019JD031767",
                  url = "http://dx.doi.org/10.1029/2019JD031767",
                 issn = "2169-897X",
             language = "en",
           targetfile = "moled goes-compactado.pdf",
        urlaccessdate = "27 abr. 2024"
}