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    The dependence of the predictability of mesoscale convective systems on the horizontal scale and amplitude of initial errors in idealized simulations 

    Source: Journal of the Atmospheric Sciences:;2017:;Volume( 074 ):;issue: 007:;page 2191
    Author(s): Weyn, Jonathan A.; Durran, Dale R.
    Publisher: American Meteorological Society
    Abstract: ecent work has suggested that modest initial relative errors on scales of O(100) km in a numerical weather forecast may exert more control on the predictability of mesoscale convective systems at lead times beyond about 5 ...
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    Thunderstorms Do Not Get Butterflies 

    Source: Bulletin of the American Meteorological Society:;2015:;volume( 097 ):;issue: 002:;page 237
    Author(s): Durran, Dale R.; Weyn, Jonathan A.
    Publisher: American Meteorological Society
    Abstract: ne important limitation on the accuracy of weather forecasts is imposed by unavoidable errors in the specification of the atmosphere?s initial state. Much theoretical concern has been focused on the limits to predictability ...
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    Ensemble Spread Grows More Rapidly in Higher-Resolution Simulations of Deep Convection 

    Source: Journal of the Atmospheric Sciences:;2018:;volume 075:;issue 010:;page 3331
    Author(s): Weyn, Jonathan A.; Durran, Dale R.
    Publisher: American Meteorological Society
    Abstract: AbstractIdealized ensemble simulations of mesoscale convective systems (MCSs) with horizontal grid spacings of 1, 1.4, and 2 km are used to analyze the influence of numerical resolution on the rate of growth of ensemble ...
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    Practical Considerations for Computing Dimensional Spectra from Gridded Data 

    Source: Monthly Weather Review:;2017:;volume( 145 ):;issue: 009:;page 3901
    Author(s): Durran, Dale;Weyn, Jonathan A.;Menchaca, Maximo Q.
    Publisher: American Meteorological Society
    Abstract: AbstractSpectra are often computed from gridded data to determine the horizontal-scale dependence of quantities such as kinetic energy, vertical velocity, or perturbation potential temperature. This paper discusses several ...
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    Improving Medium-Range Ensemble Weather Forecasts with Hierarchical Ensemble Transformers 

    Source: Artificial Intelligence for the Earth Systems:;2024:;volume( 003 ):;issue: 001
    Author(s): Bouallègue, Zied Ben; Weyn, Jonathan A.; Clare, Mariana C. A.; Dramsch, Jesper; Dueben, Peter; Chantry, Matthew
    Publisher: American Meteorological Society
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