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First 797 results for ” J Tinker”

  1. Stochastic Convection Parameterization with Markov Chains in an Intermediate-Complexity GCM

    Conditional Markov chain (CMC) models have proven to be promising building blocks for stochastic ...

    J Dorrestijn, DT Crommelin, AP Siebesma, HJJ Jonker, F Selten | Status: published | Journal: J. Atmos. Sci. | Volume: 73 | Year: 2016 | First page: 1367 | Last page: 1382 | doi: 10.1175/JAS-D-15-0244.1

    Publication

  2. A Year-Long Large-Eddy Simulation of the Weather over Cabauw: An Overview

    Results are presented of two large-eddy simulation (LES) runs of the entire year 2012 centered at...

    J Schalkwijk, HJJ Jonker, AP Siebesma, FC Bosveld | Status: published | Journal: Mon. Wea. Rev. | Volume: 143 | Year: 2015 | First page: 828 | Last page: 844 | doi: http://dx.doi.org/10.1175/MWR-D-14-00293.1

    Publication

  3. Weather Forecasting Using GPU-Based Large-Eddy Simulations

    J Schalkwijk, HJJ Jonker, AP Siebesma, E van Meijgaard | Status: published | Journal: BAMS | Volume: 96 | Year: 2015 | First page: 715 | Last page: 723 | doi: http://dx.doi.org/10.1175/BAMS-D-14-00114.1

    Publication

  4. Stochastic Parameterization of Convective Area Fractions with a Multicloud Model Inferred from Observational Data

    Observational data of rainfall from a rain radar in Darwin, Australia, are combined with data def...

    J Dorrestijn, DT Crommelin, AP Siebesma, HJJ Jonker, C Jakob | Status: published | Journal: J. Atmos. Sci. | Year: 2015 | First page: 854 | Last page: 869 | doi: http://dx.doi.org/10.1175/JAS-D-14-0110.1

    Publication

  5. On the deceiving aspects of mixing diagrams of deep cumulus convection

    Mixing processes in deep precipitating cumulus clouds are investigated by tracking Lagrangian par...

    SJ Böing, HJJ Jonker, AP Siebesma | Status: published | Journal: J. Atmos. Sci. | Volume: 71 | Year: 2014 | First page: 56 | Last page: 68 | doi: 10.1175/JAS-D-13-0127.1

    Publication