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    Indian Ocean Variability and Its Association with ENSO in a Global Coupled Model 

    Source: Journal of Climate:;2005:;volume( 018 ):;issue: 017:;page 3634
    Author(s): Zhong, Aihong; Hendon, Harry H.; Alves, Oscar
    Publisher: American Meteorological Society
    Abstract: The evolution of the Indian Ocean during El Niño?Southern Oscillation is investigated in a 100-yr integration of an Australian Bureau of Meteorology coupled seasonal forecast model. During El Niño, easterly anomalies are ...
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    An Ensemble Ocean Data Assimilation System for Seasonal Prediction 

    Source: Monthly Weather Review:;2010:;volume( 139 ):;issue: 003:;page 786
    Author(s): Yin, Yonghong; Alves, Oscar; Oke, Peter R.
    Publisher: American Meteorological Society
    Abstract: A new ensemble ocean data assimilation system, developed for the Predictive Ocean Atmosphere Model for Australia (POAMA), is described. The new system is called PEODAS, the POAMA Ensemble Ocean Data Assimilation System. ...
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    An Enhanced Moisture Convergence–Evaporation Feedback Mechanism for MJO Air–Sea Interaction 

    Source: Journal of the Atmospheric Sciences:;2008:;Volume( 065 ):;issue: 003:;page 970
    Author(s): Marshall, Andrew G.; Alves, Oscar; Hendon, Harry H.
    Publisher: American Meteorological Society
    Abstract: Simulations using an atmospheric model forced with observed SST climatology and the same atmospheric model coupled to a slab-ocean model are used to investigate the role of air?sea interaction on the dynamics of the MJO. ...
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    Variations of Upper-Ocean Salinity Associated with ENSO from PEODAS Reanalyses 

    Source: Journal of Climate:;2016:;volume( 029 ):;issue: 006:;page 2077
    Author(s): Zhao, Mei; Hendon, Harry H.; Yin, Yonghong; Alves, Oscar
    Publisher: American Meteorological Society
    Abstract: nterannual variations of upper-ocean salinity in the tropical Pacific and relationships with ENSO are investigated using the Bureau of Meteorology (Australia) POAMA Ensemble Ocean Data Assimilation System (PEODAS) reanalyses. ...
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    The Role of Stochastic Forcing in Ensemble Forecasts of the 1997/98 El Niño 

    Source: Journal of Climate:;2009:;volume( 022 ):;issue: 010:;page 2526
    Author(s): Shi, Li; Alves, Oscar; Hendon, Harry H.; Wang, Guomin; Anderson, David
    Publisher: American Meteorological Society
    Abstract: The impact of stochastic intraseasonal variability on the onset of the 1997/98 El Niño was examined using a large ensemble of forecasts starting on 1 December 1996, produced using the Australian Bureau of Meteorology ...
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    Dynamical Forecast of Inter–El Niño Variations of Tropical SST and Australian Spring Rainfall 

    Source: Monthly Weather Review:;2009:;volume( 137 ):;issue: 011:;page 3796
    Author(s): Lim, Eun-Pa; Hendon, Harry H.; Hudson, Debra; Wang, Guomin; Alves, Oscar
    Publisher: American Meteorological Society
    Abstract: The relationship between variations of Indo-Pacific sea surface temperatures (SSTs) and Australian springtime rainfall over the last 30 years is investigated with a focus on predictability of inter?El Niño variations of ...
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    Dynamical, Statistical–Dynamical, and Multimodel Ensemble Forecasts of Australian Spring Season Rainfall 

    Source: Monthly Weather Review:;2010:;volume( 139 ):;issue: 003:;page 958
    Author(s): Lim, Eun-Pa; Hendon, Harry H.; Anderson, David L. T.; Charles, Andrew; Alves, Oscar
    Publisher: American Meteorological Society
    Abstract: The prediction skill of the Australian Bureau of Meteorology dynamical seasonal forecast model Predictive Ocean Atmosphere Model for Australia (POAMA) is assessed for probabilistic forecasts of spring season rainfall in ...
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    Improving Intraseasonal Prediction with a New Ensemble Generation Strategy 

    Source: Monthly Weather Review:;2013:;volume( 141 ):;issue: 012:;page 4429
    Author(s): Hudson, Debra; Marshall, Andrew G.; Yin, Yonghong; Alves, Oscar; Hendon, Harry H.
    Publisher: American Meteorological Society
    Abstract: he Australian Bureau of Meteorology has recently enhanced its capability to make coupled model forecasts of intraseasonal climate variations. The Predictive Ocean Atmosphere Model for Australia (POAMA, version 2) seasonal ...
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    How Predictable is the Indian Ocean Dipole? 

    Source: Monthly Weather Review:;2012:;volume( 140 ):;issue: 012:;page 3867
    Author(s): Shi, Li; Hendon, Harry H.; Alves, Oscar; Luo, Jing-Jia; Balmaseda, Magdalena; Anderson, David
    Publisher: American Meteorological Society
    Abstract: n light of the growing recognition of the role of surface temperature variations in the Indian Ocean for driving global climate variability, the predictive skill of the sea surface temperature (SST) anomalies associated ...
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    Impact of Salinity Constraints on the Simulated Mean State and Variability in a Coupled Seasonal Forecast Model 

    Source: Monthly Weather Review:;2012:;volume( 141 ):;issue: 001:;page 388
    Author(s): Zhao, Mei; Hendon, Harry H.; Alves, Oscar; Yin, Yonghong; Anderson, David
    Publisher: American Meteorological Society
    Abstract: he authors assess the sensitivity of the simulated mean state and coupled variability to systematic initial state salinity errors in seasonal forecasts using the Australian Bureau of Meteorology Predictive Ocean Atmosphere ...
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