2016
O'Leary, Patrick; Ahrens, James; Jourdain, Sebastien; Wittenburg, Scott; Rogers, David H; Petersen, Mark
Cinema image-based in situ analysis and visualization of MPAS-ocean simulations Journal Article
In: PARALLEL COMPUTING, vol. 55, no. SI, pp. 43-48, 2016, ISSN: 0167-8191.
Abstract | Links | BibTeX | Tags: in situ, oceanography simulation and modeling
@article{LAPR-2016-025180,
title = {Cinema image-based in situ analysis and visualization of MPAS-ocean simulations},
author = {Patrick O'Leary and James Ahrens and Sebastien Jourdain and Scott Wittenburg and David H Rogers and Mark Petersen},
url = {http://datascience.dsscale.org/wp-content/uploads/2017/09/Insitumpas-oceanimage-basedvisualization.pdf},
doi = {10.1016/j.parco.2015.10.005},
issn = {0167-8191},
year = {2016},
date = {2016-01-01},
journal = {PARALLEL COMPUTING},
volume = {55},
number = {SI},
pages = {43-48},
abstract = {Due to power and I/O constraints associated with extreme scale scientific simulations, in situ analysis and visualization will become a critical component to scientific exploration and discovery. Current analysis and visualization options at extreme scale are presented in opposition: write files to disk for interactive, exploratory analysis, or perform in situ analysis to save data products about phenomena that a scientists knows about in advance. In this paper, we, demonstrate extreme scale visualization of MPAS-Ocean simulations leveraging a third option based on Cinema, which is a novel framework for highly interactive, image-based in situ analysis and visualization that promotes exploration.},
keywords = {in situ, oceanography simulation and modeling},
pubstate = {published},
tppubtype = {article}
}
Due to power and I/O constraints associated with extreme scale scientific simulations, in situ analysis and visualization will become a critical component to scientific exploration and discovery. Current analysis and visualization options at extreme scale are presented in opposition: write files to disk for interactive, exploratory analysis, or perform in situ analysis to save data products about phenomena that a scientists knows about in advance. In this paper, we, demonstrate extreme scale visualization of MPAS-Ocean simulations leveraging a third option based on Cinema, which is a novel framework for highly interactive, image-based in situ analysis and visualization that promotes exploration.
2015
Eatmon, Arnold
Generating Cinema Databases for In Situ Visualization of Ocean Modeling Simulations Presentation
05.10.2015, (LA-UR-15-27748).
Abstract | Links | BibTeX | Tags: cinema, oceanography simulation and modeling
@misc{Eatmon2015,
title = {Generating Cinema Databases for In Situ Visualization of Ocean Modeling Simulations},
author = {Arnold Eatmon},
url = {http://datascience.dsscale.org/wp-content/uploads/2016/12/Eatmon2015.pdf},
year = {2015},
date = {2015-10-05},
abstract = {Science is changing. In the last few years science has seen a dramatic shift towards data intensive discovery, a combination of past paradigms of discovery integrated with computational power and an ample supply of data from which we can derive information.
One notable problem with this is that while data and computational power are increasing, storage is decreasing. Storage in this day and age is a resource, and resources are inherently limited. Due to being a resource decisions must be made on how to wisely utilize storage to tackle scientific challenges.
Cinema databases allow for in situ processing and visualization, eliminating the need to write large amounts of data to disk. Cinema databases allow for scientists to not only view the data but also to interact with the data in meaningful ways. Simultaneously, cinema databases drastically reduce the amount of storage utilized in simulation.
In this project, I applied cinema database technology to a climate simulation model, MPAS-Ocean.},
note = {LA-UR-15-27748},
keywords = {cinema, oceanography simulation and modeling},
pubstate = {published},
tppubtype = {presentation}
}
Science is changing. In the last few years science has seen a dramatic shift towards data intensive discovery, a combination of past paradigms of discovery integrated with computational power and an ample supply of data from which we can derive information.
One notable problem with this is that while data and computational power are increasing, storage is decreasing. Storage in this day and age is a resource, and resources are inherently limited. Due to being a resource decisions must be made on how to wisely utilize storage to tackle scientific challenges.
Cinema databases allow for in situ processing and visualization, eliminating the need to write large amounts of data to disk. Cinema databases allow for scientists to not only view the data but also to interact with the data in meaningful ways. Simultaneously, cinema databases drastically reduce the amount of storage utilized in simulation.
In this project, I applied cinema database technology to a climate simulation model, MPAS-Ocean.
One notable problem with this is that while data and computational power are increasing, storage is decreasing. Storage in this day and age is a resource, and resources are inherently limited. Due to being a resource decisions must be made on how to wisely utilize storage to tackle scientific challenges.
Cinema databases allow for in situ processing and visualization, eliminating the need to write large amounts of data to disk. Cinema databases allow for scientists to not only view the data but also to interact with the data in meaningful ways. Simultaneously, cinema databases drastically reduce the amount of storage utilized in simulation.
In this project, I applied cinema database technology to a climate simulation model, MPAS-Ocean.
Samsel, Francesca; Petersen, Mark; Abram, Greg; Turton, Terece; Rogers, David; Ahrens, James
Visualization of ocean currents and eddies in a high-resolution global ocean-climate model Proceedings Article
In: Proceedings of the International Conference on High Performance Computing, Networking, Storage and Analysis 2015, 2015, (LA-UR-15-20105).
Abstract | Links | BibTeX | Tags: oceanography simulation and modeling, visualization
@inproceedings{samsel2015visualization,
title = {Visualization of ocean currents and eddies in a high-resolution global ocean-climate model},
author = {Francesca Samsel and Mark Petersen and Greg Abram and Terece Turton and David Rogers and James Ahrens},
url = {http://datascience.dsscale.org/wp-content/uploads/2017/08/VisualizationofOceanCurrentsandEddiesinaHigh-resoutionOceanModel.pdf},
year = {2015},
date = {2015-01-01},
booktitle = {Proceedings of the International Conference on High Performance Computing, Networking, Storage and Analysis 2015},
abstract = {Climate change research relies on models to better understand and predict the complex, interdependent processes that affect the atmosphere, ocean, and land. These models are computationally intensive and produce terabytes to petabytes of data. Visualization and analysis is increasingly difficult, yet is critical to gain scientific insights from large simulations. The recently-developed Model for Prediction Across Scales-Ocean (MPAS-Ocean) is designed to investigate climate change at global high-resolution (5 to 10 km grid cells) on high performance computing platforms. In the accompanying video, we use state-of-the-art visualization techniques to explore the physical processes in the ocean relevant to climate change. These include heat transport, turbulence and eddies, weakening of the meridional overturning circulation, and interaction between a warming ocean and Antarctic ice shelves. The project exemplifies the benefits of tight collaboration among scientists, artists, computer scientists, and visualization specialists.},
note = {LA-UR-15-20105},
keywords = {oceanography simulation and modeling, visualization},
pubstate = {published},
tppubtype = {inproceedings}
}
Climate change research relies on models to better understand and predict the complex, interdependent processes that affect the atmosphere, ocean, and land. These models are computationally intensive and produce terabytes to petabytes of data. Visualization and analysis is increasingly difficult, yet is critical to gain scientific insights from large simulations. The recently-developed Model for Prediction Across Scales-Ocean (MPAS-Ocean) is designed to investigate climate change at global high-resolution (5 to 10 km grid cells) on high performance computing platforms. In the accompanying video, we use state-of-the-art visualization techniques to explore the physical processes in the ocean relevant to climate change. These include heat transport, turbulence and eddies, weakening of the meridional overturning circulation, and interaction between a warming ocean and Antarctic ice shelves. The project exemplifies the benefits of tight collaboration among scientists, artists, computer scientists, and visualization specialists.
2013
Patchett, John
Applications of In Situ Visualization for Ocean, Cosmology, and Plasma Presentation
20.02.2013, (LA-UR-13-21112).
Abstract | Links | BibTeX | Tags: cosmology, in situ, oceanography simulation and modeling, plasma
@misc{Patchett2013b,
title = {Applications of In Situ Visualization for Ocean, Cosmology, and Plasma},
author = {John Patchett},
url = {http://datascience.dsscale.org/wp-content/uploads/2016/08/Applications_of_In_Situ_Visualization_for_Ocean_Cosmology_and_Plasma.pdf},
year = {2013},
date = {2013-02-20},
abstract = {This is a five minute or less talk for the Office of Science SDAV All Hands Meeting on 2/20/2013. It describes our work with three domains of science: ocean modeling (POP), cosmology(HACC), and plasma(VPIC). In particular it presents work that was directly related to in situ analysis and our future work with these models under SDAV.},
note = {LA-UR-13-21112},
keywords = {cosmology, in situ, oceanography simulation and modeling, plasma},
pubstate = {published},
tppubtype = {presentation}
}
This is a five minute or less talk for the Office of Science SDAV All Hands Meeting on 2/20/2013. It describes our work with three domains of science: ocean modeling (POP), cosmology(HACC), and plasma(VPIC). In particular it presents work that was directly related to in situ analysis and our future work with these models under SDAV.
2012
Williams, Sean; Petersen, Mark; Hecht, Matthew; Maltrud, Mathew; Hamann, Bernd; Patchett, John; Ahrens, James; Hamann, Bernd
Interface Exchange as an Indicator for Eddy Heat Transport Proceedings Article
In: Computer Graphics Forum, pp. 1125-1134, Wiley Online Library 2012, (LA-UR-12-21038).
Abstract | Links | BibTeX | Tags: applications, eddies, interface exchange, Ocean General Circulation Models, oceanography simulation and modeling, simulation output analysis
@inproceedings{williams2012interface,
title = {Interface Exchange as an Indicator for Eddy Heat Transport},
author = {Sean Williams and Mark Petersen and Matthew Hecht and Mathew Maltrud and Bernd Hamann and John Patchett and James Ahrens and Bernd Hamann },
url = {http://datascience.dsscale.org/wp-content/uploads/2016/06/InterfaceExchangeAsAnIndicatorForEddyHeatTransport.pdf},
year = {2012},
date = {2012-01-01},
booktitle = {Computer Graphics Forum},
volume = {31},
number = {3pt3},
pages = {1125-1134},
organization = {Wiley Online Library},
abstract = {The ocean contains many large-scale, long-lived vortices, called mesoscale eddies, that are believed to have a role in the transport and redistribution of salt, heat, and nutrients throughout the ocean. Determining this role, however, has proven to be a challenge, since the mechanics of eddies are only partly understood; a standard definition for these ocean eddies does not exist and, therefore, scientifically meaningful, robust methods for eddy extraction, characterization, tracking and visualization remain a challenge. To shed light on the nature and potential roles of eddies, we extend our previous work on eddy identification and tracking to construct a new metric to characterize the transfer of water into and out of eddies across their boundary, and produce several visualizations of this new metric to provide clues about the role eddies play in the global ocean.},
note = {LA-UR-12-21038},
keywords = {applications, eddies, interface exchange, Ocean General Circulation Models, oceanography simulation and modeling, simulation output analysis},
pubstate = {published},
tppubtype = {inproceedings}
}
The ocean contains many large-scale, long-lived vortices, called mesoscale eddies, that are believed to have a role in the transport and redistribution of salt, heat, and nutrients throughout the ocean. Determining this role, however, has proven to be a challenge, since the mechanics of eddies are only partly understood; a standard definition for these ocean eddies does not exist and, therefore, scientifically meaningful, robust methods for eddy extraction, characterization, tracking and visualization remain a challenge. To shed light on the nature and potential roles of eddies, we extend our previous work on eddy identification and tracking to construct a new metric to characterize the transfer of water into and out of eddies across their boundary, and produce several visualizations of this new metric to provide clues about the role eddies play in the global ocean.
2011
Williams, Sean; Hecht, Matthew; Petersen, Mark; Strelitz, Richard; Maltrud, Mathew; Ahrens, James; Hlawitschka, Mario; Hamann, Bernd
Visualization and analysis of eddies in a global ocean simulation Proceedings Article
In: Computer Graphics Forum, pp. 991–1000, Wiley Online Library 2011, (LA-UR-11-02104).
Abstract | Links | BibTeX | Tags: Ocean General Circulation Models, oceanography simulation and modeling, simulation output analysis
@inproceedings{williams2011visualization,
title = {Visualization and analysis of eddies in a global ocean simulation},
author = {Sean Williams and Matthew Hecht and Mark Petersen and Richard Strelitz and Mathew Maltrud and James Ahrens and Mario Hlawitschka and Bernd Hamann},
url = {http://datascience.dsscale.org/wp-content/uploads/2016/06/VisualizationAndAnalysisOfEddiesInAGlobalOceanSimulation.pdf},
year = {2011},
date = {2011-01-01},
booktitle = {Computer Graphics Forum},
volume = {30},
number = {3},
pages = {991--1000},
organization = {Wiley Online Library},
abstract = {We present analysis and visualization of flow data from a high-resolution sim ulation of the dynamical behavior of the global ocean. Of particular scientific interest are coherent vortical features called mesoscale eddies. We first extract high-vorticity features using a metric from the oceanography comm unity called the Okubo-Weiss parameter. We then use a new circularity criterion to differentiate eddies from other no n-eddy features like meanders in strong background currents. From these data, we generate visualizatio ns showing the three-dimensional structure and distribution of ocean eddies. Additionally, the characteristics of each e ddy are recorded to form an eddy census that can be used to investigate correlations among variables such as e ddy thickness, depth, and location. From these analyses, we gain insight into the role eddies play in large-scale ocea n circulation.},
note = {LA-UR-11-02104},
keywords = {Ocean General Circulation Models, oceanography simulation and modeling, simulation output analysis},
pubstate = {published},
tppubtype = {inproceedings}
}
We present analysis and visualization of flow data from a high-resolution sim ulation of the dynamical behavior of the global ocean. Of particular scientific interest are coherent vortical features called mesoscale eddies. We first extract high-vorticity features using a metric from the oceanography comm unity called the Okubo-Weiss parameter. We then use a new circularity criterion to differentiate eddies from other no n-eddy features like meanders in strong background currents. From these data, we generate visualizatio ns showing the three-dimensional structure and distribution of ocean eddies. Additionally, the characteristics of each e ddy are recorded to form an eddy census that can be used to investigate correlations among variables such as e ddy thickness, depth, and location. From these analyses, we gain insight into the role eddies play in large-scale ocea n circulation.
: . .
1.
O'Leary, Patrick; Ahrens, James; Jourdain, Sebastien; Wittenburg, Scott; Rogers, David H; Petersen, Mark
Cinema image-based in situ analysis and visualization of MPAS-ocean simulations Journal Article
In: PARALLEL COMPUTING, vol. 55, no. SI, pp. 43-48, 2016, ISSN: 0167-8191.
@article{LAPR-2016-025180,
title = {Cinema image-based in situ analysis and visualization of MPAS-ocean simulations},
author = {Patrick O'Leary and James Ahrens and Sebastien Jourdain and Scott Wittenburg and David H Rogers and Mark Petersen},
url = {http://datascience.dsscale.org/wp-content/uploads/2017/09/Insitumpas-oceanimage-basedvisualization.pdf},
doi = {10.1016/j.parco.2015.10.005},
issn = {0167-8191},
year = {2016},
date = {2016-01-01},
journal = {PARALLEL COMPUTING},
volume = {55},
number = {SI},
pages = {43-48},
abstract = {Due to power and I/O constraints associated with extreme scale scientific simulations, in situ analysis and visualization will become a critical component to scientific exploration and discovery. Current analysis and visualization options at extreme scale are presented in opposition: write files to disk for interactive, exploratory analysis, or perform in situ analysis to save data products about phenomena that a scientists knows about in advance. In this paper, we, demonstrate extreme scale visualization of MPAS-Ocean simulations leveraging a third option based on Cinema, which is a novel framework for highly interactive, image-based in situ analysis and visualization that promotes exploration.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Due to power and I/O constraints associated with extreme scale scientific simulations, in situ analysis and visualization will become a critical component to scientific exploration and discovery. Current analysis and visualization options at extreme scale are presented in opposition: write files to disk for interactive, exploratory analysis, or perform in situ analysis to save data products about phenomena that a scientists knows about in advance. In this paper, we, demonstrate extreme scale visualization of MPAS-Ocean simulations leveraging a third option based on Cinema, which is a novel framework for highly interactive, image-based in situ analysis and visualization that promotes exploration.
2.
Eatmon, Arnold
Generating Cinema Databases for In Situ Visualization of Ocean Modeling Simulations Presentation
05.10.2015, (LA-UR-15-27748).
@misc{Eatmon2015,
title = {Generating Cinema Databases for In Situ Visualization of Ocean Modeling Simulations},
author = {Arnold Eatmon},
url = {http://datascience.dsscale.org/wp-content/uploads/2016/12/Eatmon2015.pdf},
year = {2015},
date = {2015-10-05},
abstract = {Science is changing. In the last few years science has seen a dramatic shift towards data intensive discovery, a combination of past paradigms of discovery integrated with computational power and an ample supply of data from which we can derive information.
One notable problem with this is that while data and computational power are increasing, storage is decreasing. Storage in this day and age is a resource, and resources are inherently limited. Due to being a resource decisions must be made on how to wisely utilize storage to tackle scientific challenges.
Cinema databases allow for in situ processing and visualization, eliminating the need to write large amounts of data to disk. Cinema databases allow for scientists to not only view the data but also to interact with the data in meaningful ways. Simultaneously, cinema databases drastically reduce the amount of storage utilized in simulation.
In this project, I applied cinema database technology to a climate simulation model, MPAS-Ocean.},
note = {LA-UR-15-27748},
keywords = {},
pubstate = {published},
tppubtype = {presentation}
}
Science is changing. In the last few years science has seen a dramatic shift towards data intensive discovery, a combination of past paradigms of discovery integrated with computational power and an ample supply of data from which we can derive information.
One notable problem with this is that while data and computational power are increasing, storage is decreasing. Storage in this day and age is a resource, and resources are inherently limited. Due to being a resource decisions must be made on how to wisely utilize storage to tackle scientific challenges.
Cinema databases allow for in situ processing and visualization, eliminating the need to write large amounts of data to disk. Cinema databases allow for scientists to not only view the data but also to interact with the data in meaningful ways. Simultaneously, cinema databases drastically reduce the amount of storage utilized in simulation.
In this project, I applied cinema database technology to a climate simulation model, MPAS-Ocean.
One notable problem with this is that while data and computational power are increasing, storage is decreasing. Storage in this day and age is a resource, and resources are inherently limited. Due to being a resource decisions must be made on how to wisely utilize storage to tackle scientific challenges.
Cinema databases allow for in situ processing and visualization, eliminating the need to write large amounts of data to disk. Cinema databases allow for scientists to not only view the data but also to interact with the data in meaningful ways. Simultaneously, cinema databases drastically reduce the amount of storage utilized in simulation.
In this project, I applied cinema database technology to a climate simulation model, MPAS-Ocean.
3.
Samsel, Francesca; Petersen, Mark; Abram, Greg; Turton, Terece; Rogers, David; Ahrens, James
Visualization of ocean currents and eddies in a high-resolution global ocean-climate model Proceedings Article
In: Proceedings of the International Conference on High Performance Computing, Networking, Storage and Analysis 2015, 2015, (LA-UR-15-20105).
@inproceedings{samsel2015visualization,
title = {Visualization of ocean currents and eddies in a high-resolution global ocean-climate model},
author = {Francesca Samsel and Mark Petersen and Greg Abram and Terece Turton and David Rogers and James Ahrens},
url = {http://datascience.dsscale.org/wp-content/uploads/2017/08/VisualizationofOceanCurrentsandEddiesinaHigh-resoutionOceanModel.pdf},
year = {2015},
date = {2015-01-01},
booktitle = {Proceedings of the International Conference on High Performance Computing, Networking, Storage and Analysis 2015},
abstract = {Climate change research relies on models to better understand and predict the complex, interdependent processes that affect the atmosphere, ocean, and land. These models are computationally intensive and produce terabytes to petabytes of data. Visualization and analysis is increasingly difficult, yet is critical to gain scientific insights from large simulations. The recently-developed Model for Prediction Across Scales-Ocean (MPAS-Ocean) is designed to investigate climate change at global high-resolution (5 to 10 km grid cells) on high performance computing platforms. In the accompanying video, we use state-of-the-art visualization techniques to explore the physical processes in the ocean relevant to climate change. These include heat transport, turbulence and eddies, weakening of the meridional overturning circulation, and interaction between a warming ocean and Antarctic ice shelves. The project exemplifies the benefits of tight collaboration among scientists, artists, computer scientists, and visualization specialists.},
note = {LA-UR-15-20105},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Climate change research relies on models to better understand and predict the complex, interdependent processes that affect the atmosphere, ocean, and land. These models are computationally intensive and produce terabytes to petabytes of data. Visualization and analysis is increasingly difficult, yet is critical to gain scientific insights from large simulations. The recently-developed Model for Prediction Across Scales-Ocean (MPAS-Ocean) is designed to investigate climate change at global high-resolution (5 to 10 km grid cells) on high performance computing platforms. In the accompanying video, we use state-of-the-art visualization techniques to explore the physical processes in the ocean relevant to climate change. These include heat transport, turbulence and eddies, weakening of the meridional overturning circulation, and interaction between a warming ocean and Antarctic ice shelves. The project exemplifies the benefits of tight collaboration among scientists, artists, computer scientists, and visualization specialists.
4.
Patchett, John
Applications of In Situ Visualization for Ocean, Cosmology, and Plasma Presentation
20.02.2013, (LA-UR-13-21112).
@misc{Patchett2013b,
title = {Applications of In Situ Visualization for Ocean, Cosmology, and Plasma},
author = {John Patchett},
url = {http://datascience.dsscale.org/wp-content/uploads/2016/08/Applications_of_In_Situ_Visualization_for_Ocean_Cosmology_and_Plasma.pdf},
year = {2013},
date = {2013-02-20},
abstract = {This is a five minute or less talk for the Office of Science SDAV All Hands Meeting on 2/20/2013. It describes our work with three domains of science: ocean modeling (POP), cosmology(HACC), and plasma(VPIC). In particular it presents work that was directly related to in situ analysis and our future work with these models under SDAV.},
note = {LA-UR-13-21112},
keywords = {},
pubstate = {published},
tppubtype = {presentation}
}
This is a five minute or less talk for the Office of Science SDAV All Hands Meeting on 2/20/2013. It describes our work with three domains of science: ocean modeling (POP), cosmology(HACC), and plasma(VPIC). In particular it presents work that was directly related to in situ analysis and our future work with these models under SDAV.
5.
Williams, Sean; Petersen, Mark; Hecht, Matthew; Maltrud, Mathew; Hamann, Bernd; Patchett, John; Ahrens, James; Hamann, Bernd
Interface Exchange as an Indicator for Eddy Heat Transport Proceedings Article
In: Computer Graphics Forum, pp. 1125-1134, Wiley Online Library 2012, (LA-UR-12-21038).
@inproceedings{williams2012interface,
title = {Interface Exchange as an Indicator for Eddy Heat Transport},
author = {Sean Williams and Mark Petersen and Matthew Hecht and Mathew Maltrud and Bernd Hamann and John Patchett and James Ahrens and Bernd Hamann },
url = {http://datascience.dsscale.org/wp-content/uploads/2016/06/InterfaceExchangeAsAnIndicatorForEddyHeatTransport.pdf},
year = {2012},
date = {2012-01-01},
booktitle = {Computer Graphics Forum},
volume = {31},
number = {3pt3},
pages = {1125-1134},
organization = {Wiley Online Library},
abstract = {The ocean contains many large-scale, long-lived vortices, called mesoscale eddies, that are believed to have a role in the transport and redistribution of salt, heat, and nutrients throughout the ocean. Determining this role, however, has proven to be a challenge, since the mechanics of eddies are only partly understood; a standard definition for these ocean eddies does not exist and, therefore, scientifically meaningful, robust methods for eddy extraction, characterization, tracking and visualization remain a challenge. To shed light on the nature and potential roles of eddies, we extend our previous work on eddy identification and tracking to construct a new metric to characterize the transfer of water into and out of eddies across their boundary, and produce several visualizations of this new metric to provide clues about the role eddies play in the global ocean.},
note = {LA-UR-12-21038},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
The ocean contains many large-scale, long-lived vortices, called mesoscale eddies, that are believed to have a role in the transport and redistribution of salt, heat, and nutrients throughout the ocean. Determining this role, however, has proven to be a challenge, since the mechanics of eddies are only partly understood; a standard definition for these ocean eddies does not exist and, therefore, scientifically meaningful, robust methods for eddy extraction, characterization, tracking and visualization remain a challenge. To shed light on the nature and potential roles of eddies, we extend our previous work on eddy identification and tracking to construct a new metric to characterize the transfer of water into and out of eddies across their boundary, and produce several visualizations of this new metric to provide clues about the role eddies play in the global ocean.
6.
Williams, Sean; Hecht, Matthew; Petersen, Mark; Strelitz, Richard; Maltrud, Mathew; Ahrens, James; Hlawitschka, Mario; Hamann, Bernd
Visualization and analysis of eddies in a global ocean simulation Proceedings Article
In: Computer Graphics Forum, pp. 991–1000, Wiley Online Library 2011, (LA-UR-11-02104).
@inproceedings{williams2011visualization,
title = {Visualization and analysis of eddies in a global ocean simulation},
author = {Sean Williams and Matthew Hecht and Mark Petersen and Richard Strelitz and Mathew Maltrud and James Ahrens and Mario Hlawitschka and Bernd Hamann},
url = {http://datascience.dsscale.org/wp-content/uploads/2016/06/VisualizationAndAnalysisOfEddiesInAGlobalOceanSimulation.pdf},
year = {2011},
date = {2011-01-01},
booktitle = {Computer Graphics Forum},
volume = {30},
number = {3},
pages = {991--1000},
organization = {Wiley Online Library},
abstract = {We present analysis and visualization of flow data from a high-resolution sim ulation of the dynamical behavior of the global ocean. Of particular scientific interest are coherent vortical features called mesoscale eddies. We first extract high-vorticity features using a metric from the oceanography comm unity called the Okubo-Weiss parameter. We then use a new circularity criterion to differentiate eddies from other no n-eddy features like meanders in strong background currents. From these data, we generate visualizatio ns showing the three-dimensional structure and distribution of ocean eddies. Additionally, the characteristics of each e ddy are recorded to form an eddy census that can be used to investigate correlations among variables such as e ddy thickness, depth, and location. From these analyses, we gain insight into the role eddies play in large-scale ocea n circulation.},
note = {LA-UR-11-02104},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
We present analysis and visualization of flow data from a high-resolution sim ulation of the dynamical behavior of the global ocean. Of particular scientific interest are coherent vortical features called mesoscale eddies. We first extract high-vorticity features using a metric from the oceanography comm unity called the Okubo-Weiss parameter. We then use a new circularity criterion to differentiate eddies from other no n-eddy features like meanders in strong background currents. From these data, we generate visualizatio ns showing the three-dimensional structure and distribution of ocean eddies. Additionally, the characteristics of each e ddy are recorded to form an eddy census that can be used to investigate correlations among variables such as e ddy thickness, depth, and location. From these analyses, we gain insight into the role eddies play in large-scale ocea n circulation.