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Asamgpu V1.0 – a Moist Fully Compressible Atmospheric Model Using Graphics Processing Units (Gpus) : Volume 4, Issue 4 (07/10/2011)

By Horn, S.

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Book Id: WPLBN0003992882
Format Type: PDF Article :
File Size: Pages 26
Reproduction Date: 2015

Title: Asamgpu V1.0 – a Moist Fully Compressible Atmospheric Model Using Graphics Processing Units (Gpus) : Volume 4, Issue 4 (07/10/2011)  
Author: Horn, S.
Volume: Vol. 4, Issue 4
Language: English
Subject: Science, Geoscientific, Model
Collections: Periodicals: Journal and Magazine Collection, Copernicus GmbH
Historic
Publication Date:
2011
Publisher: Copernicus Gmbh, Göttingen, Germany
Member Page: Copernicus Publications

Citation

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Horn, S. (2011). Asamgpu V1.0 – a Moist Fully Compressible Atmospheric Model Using Graphics Processing Units (Gpus) : Volume 4, Issue 4 (07/10/2011). Retrieved from http://www.ebooklibrary.org/


Description
Description: Leibniz Institute for Tropospheric Research, Permoserstraße 15, 04318 Leipzig, Germany. In this work the three dimensional compressible moist atmospheric model ASAMgpu is presented. The calculations are done using graphics processing units (GPUs). To ensure platform independence OpenGL and GLSL is used, with that the model runs on any hardware supporting fragment shaders. The MPICH2 library enables interprocess communication allowing the usage of more than one GPU through domain decomposition. Time integration is done with an explicit three step Runge-Kutta scheme with a timesplitting algorithm for the acoustic waves. The results for four test cases are shown in this paper. A rising dry heat bubble, a cold bubble induced density flow, a rising moist heat bubble in a saturated environment and a DYCOMS-II case.

Summary
ASAMgpu V1.0 – a moist fully compressible atmospheric model using graphics processing units (GPUs)

Excerpt
Bryan, G. H. and Fritsch, J. M.: A Benchmark Simulation for Moist Nonhydrostatic Numerical Models, Mon. Weather Rev., 130, 2917–2928, 2002.; Engelmann, R., Ansmann, A., Horn, S., Seifert, P., Althausen, D., Tesche, M., Esselborn, M., Fruntke, J., Lieke, K., Freudenthaler, V., and Gross, S.: Doppler lidar studies of heat island effects on vertical mixing of aerosols during SAMUM�2, Tellus B, 63, 448�-458, 2011.; Gropp, W., Lusk, E., and Skjellum, A.: Using MPI: Portable Parallel Programming with the Message-Passing Interface, MIT Press, Book, 1999.; Jebens, S., Knoth, O., and Weiner, R.: Explicit Two-Step Peer Methods for the Compressible Euler Equations, Mon. Weather Rev., 137, 2380–2392, 2009.; Seifert, A. and Beheng, K. D.: A two-moment cloud microphysics parameterization for mixed-phase clouds, Part 1: Model description, Meteorol. Atmos. Phys., 92, 45–66, 2005.; Skamarock, W. C., Dudhia, J., Gill, D., Barker, D., Wei, W., and Powers, J.: A description of the advanced research WRF version 2, NCAR Tech. Note NCAR/TN-468+STR, National Center for Atmospheric Research, Boulder, CO, 88 pp., 2005.; Wang, H. and Feingold, G.: Modeling Mesoscale Cellular Structures and Drizzle in Marine Stratocumulus, Part I: Impact of Drizzle on the Formation and Evolution of Open Cells, J. Atmos. Sci., 66, 3237–3256, 2009.; Wicker, L. J. and Skamarock, W. C.: A Time-Splitting Scheme for the Elastic Equations Incorporating Second-Order Runge-Kutta Time Differencing, Mon. Weather Rev., 126, 1992–1999, 1998.; Wicker, L. J. and Skamarock, W. C.: Time-Splitting Methods for Elastic Models Using Forward Time Schemes, Mon. Weather Rev., 130, 2088–2097, 2002.; vanZanten, M. C., Stevens, B., Vali, G., and Lenschow, D. H.: Observations of Drizzle in Nocturnal Marine Stratocumulus, J. Atmos. Sci., 62, 88–106, 2005.

 

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