2015
Woodring, Jonathan; Petersen, Mark; Schmeiber, Andre; Patchett, John; Ahrens, James; Hagen, Hans
In Situ Eddy Analysis in a High-Resolution Ocean Climate Model Proceedings Article
In: IEEE, 2015, (LA-UR-pending).
Abstract | Links | BibTeX | Tags: climate modeling, collaborative development, feature analysis, feature extraction, high performance computing, In situ analysis, mesoscale eddies, ocean modeling, online analysis, revision control, simulation, software engineering, supercomputing
@inproceedings{Woodring2015,
title = {In Situ Eddy Analysis in a High-Resolution Ocean Climate Model},
author = {Jonathan Woodring and Mark Petersen and Andre Schmeiber and John Patchett and James Ahrens and Hans Hagen},
url = {http://ieeexplore.ieee.org/document/7192723/},
year = {2015},
date = {2015-01-01},
publisher = {IEEE},
abstract = {An eddy is a feature associated with a rotating body of fluid, surrounded by a ring of shearing fluid. In the ocean, eddies are 10 to 150 km in diameter, are spawned by boundary currents and baroclinic instabilities, may live for hundreds of days, and travel for hundreds of kilometers. Eddies are important in climate studies because they transport heat, salt, and nutrients through the world’s oceans and are vessels of biological productivity. The study of eddies in global ocean-climate models requires large-scale, high-resolution simulations. This poses a problem for feasible (timely) eddy analysis, as ocean simulations generate massive amounts of data, causing a bottleneck for traditional analysis workflows. To enable eddy studies, we have developed an in situ workflow for the quantitative and qualitative analysis of MPAS-Ocean, a high-resolution ocean climate model, in collaboration with the ocean model research and development process. Planned eddy analysis at high spatial and temporal resolutions will not be possible with a post- processing workflow due to various constraints, such as storage size and I/O time, but the in situ workflow enables it and scales well to ten-thousand processing elements.},
note = {LA-UR-pending},
keywords = {climate modeling, collaborative development, feature analysis, feature extraction, high performance computing, In situ analysis, mesoscale eddies, ocean modeling, online analysis, revision control, simulation, software engineering, supercomputing},
pubstate = {published},
tppubtype = {inproceedings}
}
An eddy is a feature associated with a rotating body of fluid, surrounded by a ring of shearing fluid. In the ocean, eddies are 10 to 150 km in diameter, are spawned by boundary currents and baroclinic instabilities, may live for hundreds of days, and travel for hundreds of kilometers. Eddies are important in climate studies because they transport heat, salt, and nutrients through the world’s oceans and are vessels of biological productivity. The study of eddies in global ocean-climate models requires large-scale, high-resolution simulations. This poses a problem for feasible (timely) eddy analysis, as ocean simulations generate massive amounts of data, causing a bottleneck for traditional analysis workflows. To enable eddy studies, we have developed an in situ workflow for the quantitative and qualitative analysis of MPAS-Ocean, a high-resolution ocean climate model, in collaboration with the ocean model research and development process. Planned eddy analysis at high spatial and temporal resolutions will not be possible with a post- processing workflow due to various constraints, such as storage size and I/O time, but the in situ workflow enables it and scales well to ten-thousand processing elements.
: . .
1.
Woodring, Jonathan; Petersen, Mark; Schmeiber, Andre; Patchett, John; Ahrens, James; Hagen, Hans
In Situ Eddy Analysis in a High-Resolution Ocean Climate Model Proceedings Article
In: IEEE, 2015, (LA-UR-pending).
@inproceedings{Woodring2015,
title = {In Situ Eddy Analysis in a High-Resolution Ocean Climate Model},
author = {Jonathan Woodring and Mark Petersen and Andre Schmeiber and John Patchett and James Ahrens and Hans Hagen},
url = {http://ieeexplore.ieee.org/document/7192723/},
year = {2015},
date = {2015-01-01},
publisher = {IEEE},
abstract = {An eddy is a feature associated with a rotating body of fluid, surrounded by a ring of shearing fluid. In the ocean, eddies are 10 to 150 km in diameter, are spawned by boundary currents and baroclinic instabilities, may live for hundreds of days, and travel for hundreds of kilometers. Eddies are important in climate studies because they transport heat, salt, and nutrients through the world’s oceans and are vessels of biological productivity. The study of eddies in global ocean-climate models requires large-scale, high-resolution simulations. This poses a problem for feasible (timely) eddy analysis, as ocean simulations generate massive amounts of data, causing a bottleneck for traditional analysis workflows. To enable eddy studies, we have developed an in situ workflow for the quantitative and qualitative analysis of MPAS-Ocean, a high-resolution ocean climate model, in collaboration with the ocean model research and development process. Planned eddy analysis at high spatial and temporal resolutions will not be possible with a post- processing workflow due to various constraints, such as storage size and I/O time, but the in situ workflow enables it and scales well to ten-thousand processing elements.},
note = {LA-UR-pending},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
An eddy is a feature associated with a rotating body of fluid, surrounded by a ring of shearing fluid. In the ocean, eddies are 10 to 150 km in diameter, are spawned by boundary currents and baroclinic instabilities, may live for hundreds of days, and travel for hundreds of kilometers. Eddies are important in climate studies because they transport heat, salt, and nutrients through the world’s oceans and are vessels of biological productivity. The study of eddies in global ocean-climate models requires large-scale, high-resolution simulations. This poses a problem for feasible (timely) eddy analysis, as ocean simulations generate massive amounts of data, causing a bottleneck for traditional analysis workflows. To enable eddy studies, we have developed an in situ workflow for the quantitative and qualitative analysis of MPAS-Ocean, a high-resolution ocean climate model, in collaboration with the ocean model research and development process. Planned eddy analysis at high spatial and temporal resolutions will not be possible with a post- processing workflow due to various constraints, such as storage size and I/O time, but the in situ workflow enables it and scales well to ten-thousand processing elements.