@inproceedings{LAPR-2017-027464,

title = {Employing Color Theory to Visualize Volume-rendered Multivariate Ensembles of Asteroid Impact Simulations},

author = {Francesca Samsel and John Patchett and David Rogers and Karen Tsai},

url = {http://doi.acm.org/10.1145/3027063.3053337},

doi = {10.1145/3027063.3053337},

isbn = {978-1-4503-4656-6},

year  = {2017},

date = {2017-05-06},

booktitle = {Proceedings of the 2017 CHI Conference Extended Abstracts on Human Factors in Computing Systems},

pages = {1126-1134},

publisher = {ACM},

series = {CHI EA '17},

abstract = {We describe explorations and innovations developed to help scientists understand an ensemble of large scale simulations of asteroid impacts in the ocean. The simulations were run to help scientists determine the characteristics of asteroids that NASA should track, so that communities at risk from impact can be given advanced notice. Of relevance to the CHI community are 1) hands-on workflow issues specific to exploring ensembles of large scientific data, 2) innovations in exploring such data ensembles with color, and 3) examples of multidisciplinary collaboration.},

note = {LA-UR-17-20419},

keywords = {colormaps, ensemble visualization, scientific visualization, visualization design, volume rendering},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{LAPR-2017-027464,

title = {Employing Color Theory to Visualize Volume-rendered Multivariate Ensembles of Asteroid Impact Simulations},

author = {Francesca Samsel and John Patchett and David Rogers and Karen Tsai},

url = {http://doi.acm.org/10.1145/3027063.3053337},

doi = {10.1145/3027063.3053337},

isbn = {978-1-4503-4656-6},

year  = {2017},

date = {2017-05-06},

booktitle = {Proceedings of the 2017 CHI Conference Extended Abstracts on Human Factors in Computing Systems},

pages = {1126-1134},

publisher = {ACM},

series = {CHI EA '17},

abstract = {We describe explorations and innovations developed to help scientists understand an ensemble of large scale simulations of asteroid impacts in the ocean. The simulations were run to help scientists determine the characteristics of asteroids that NASA should track, so that communities at risk from impact can be given advanced notice. Of relevance to the CHI community are 1) hands-on workflow issues specific to exploring ensembles of large scientific data, 2) innovations in exploring such data ensembles with color, and 3) examples of multidisciplinary collaboration.},

note = {LA-UR-17-20419},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}