Journal metrics

Journal metrics

  • IF value: 4.252 IF 4.252
  • IF 5-year value: 4.890 IF 5-year 4.890
  • CiteScore value: 4.49 CiteScore 4.49
  • SNIP value: 1.539 SNIP 1.539
  • SJR value: 2.404 SJR 2.404
  • IPP value: 4.28 IPP 4.28
  • h5-index value: 40 h5-index 40
  • Scimago H index value: 51 Scimago H index 51
Discussion papers | Copyright
https://doi.org/10.5194/gmd-2018-179
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

Model description paper 27 Jul 2018

Model description paper | 27 Jul 2018

Review status
This discussion paper is a preprint. It is a manuscript under review for the journal Geoscientific Model Development (GMD).

Towards in-situ visualization integrated earth system models: RegESM 1.1 regional modelling system

Ufuk Utku Turuncoglu Ufuk Utku Turuncoglu
  • Informatics Institute, Istanbul Technical University, 34469, Istanbul, Turkey

Abstract. The data volume being produced by regional and global multi-component earth system models are rapidly increasing due to the improved spatial and temporal resolution of the model components, sophistication of the used numerical models in terms of represented physical processes and their non-linear complex interactions. In particular, very short time steps have to be defined in multi-component and multi-scale non-hydrostatic modelling systems to represent the evolution of the fast-moving processes such as turbulence, extra-tropical cyclones, convective lines, jet streams, internal waves, vertical turbulent mixing and surface gravity waves. Consequently, the used small time steps cause extra computation and disk I/O overhead in the used modelling system even if today's most powerful high-performance computing and data storage systems are being considered. Analysis of the high volume of data from multiple earth system model components at different temporal and spatial resolution also poses a challenging problem to efficiently perform integrated data analysis of the massive amounts of data by relying on the conventional post-processing methods available today. This study basically aims to explore the feasibility and added value of integrating existing in-situ visualization and data analysis methods with the model coupling framework (ESMF) to increase interoperability between multi-component simulation code and data processing pipelines by providing easy to use, efficient, generic and standardized modeling environment for earth system science applications. The new data analysis approach enables simultaneous analysis of the vast amount of data produced by multi-component regional earth system models (atmosphere, ocean etc.) during the run process. The methodology aims to create an integrated modeling environment for analyzing fast-moving processes and their evolution in both time and space to support better understanding of the underplaying physical mechanisms. The state-of-art approach can also be used to solve common problems in earth system model development workflow such as designing new sub-grid scale parametrizations (convection, air–sea interaction etc.) that requires inspecting the integrated model behavior in a higher temporal and spatial scale during the run or supporting visual debugging of the multi-component modeling systems, which usually are not facilitated by existing model coupling libraries and modeling systems.

Download & links
Ufuk Utku Turuncoglu
Interactive discussion
Status: open (until 21 Sep 2018)
Status: open (until 21 Sep 2018)
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
[Subscribe to comment alert] Printer-friendly Version - Printer-friendly version Supplement - Supplement
Ufuk Utku Turuncoglu
Model code and software

RegESM 1.1 model code U. U. Turuncoglu https://doi.org/10.5281/zenodo.1307212

Video supplement

Hurricane Katrina: Comparison of vorticity streamline of low and high resolution simulations U. U. Turuncoglu https://doi.org/10.5446/37219

Simulation of Hurricane Katrina using in situ visualization integrated regional earth system model (RegESM) U. U. Turuncoglu https://doi.org/10.5446/37227

Ufuk Utku Turuncoglu
Viewed
Total article views: 267 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
215 48 4 267 3 5
  • HTML: 215
  • PDF: 48
  • XML: 4
  • Total: 267
  • BibTeX: 3
  • EndNote: 5
Views and downloads (calculated since 27 Jul 2018)
Cumulative views and downloads (calculated since 27 Jul 2018)
Viewed (geographical distribution)
Total article views: 268 (including HTML, PDF, and XML) Thereof 267 with geography defined and 1 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Cited
Saved
No saved metrics found.
Discussed
No discussed metrics found.
Latest update: 18 Aug 2018
Publications Copernicus
Special issue
Download
Short summary
This study aims to present a novel application of the recently developed state-of-art modeling framework to integrate in-situ visualization and data analysis approach with a model coupling framework. The modelling framework utilizes ParaView Catalyst to get more insight about the vast amount of data through pin-situ visualizations. Enabling analysis of fast-moving processes and their evolution in both time and space to support better understanding of underplaying physical mechanisms.
This study aims to present a novel application of the recently developed state-of-art modeling...
Citation
Share