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First 886 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

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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

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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

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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

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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

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