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    A New Approach to Streaming Data from the Cloud 

    Source: Bulletin of the American Meteorological Society:;2017:;volume( 098 ):;issue: 011:;page 2280
    Author(s): Robinson, Niall H.;Prudden, Rachel;Arribas, Alberto
    Publisher: American Meteorological Society
    Abstract: AbstractEnvironmental datasets are becoming so large that they are increasingly being hosted in the compute cloud, where they can be efficiently analyzed and disseminated. However, this necessitates new ways of efficiently ...
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    Stochastic Downscaling to Chaotic Weather Regimes Using Spatially Conditioned Gaussian Random Fields with Adaptive Covariance 

    Source: Weather and Forecasting:;2021:;volume( 036 ):;issue: 006:;page 2233
    Author(s): Prudden, Rachel;Robinson, Niall;Challenor, Peter;Everson, Richard
    Publisher: American Meteorological Society
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    Quantifying Causal Pathways of Teleconnections 

    Source: Bulletin of the American Meteorological Society:;2021:;volume( 102 ):;issue: 012
    Author(s): Kretschmer, Marlene;Adams, Samantha V.;Arribas, Alberto;Prudden, Rachel;Robinson, Niall;Saggioro, Elena;Shepherd, Theodore G.
    Publisher: American Meteorological Society
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    Comments on “Multiyear Predictions of North Atlantic Hurricane Frequency: Promise and Limitations” 

    Source: Journal of Climate:;2013:;volume( 027 ):;issue: 001:;page 487
    Author(s): Smith, Doug M.; Dunstone, Nick J.; Eade, Rosie; Fereday, David; Hermanson, Leon; Murphy, James M.; Pohlmann, Holger; Robinson, Niall; Scaife, Adam A.
    Publisher: American Meteorological Society
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