2017
DOI: 10.1785/0220160190
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Data Products at the IRIS‐DMC: Growth and Usage

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Cited by 47 publications
(30 citation statements)
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“…Vote maps are generated as in Figure 6, except that areas of less than six votes are shaded uniformly grey. SubMachine and other tomography portals (e.g., Becker & Boschi, 2002;Hutko et al, 2017;Kim et al, 2016) render 2-D slices extracted from volumetric data sets. As an extension to 3-D rendering, isosurface (2-D hyperplanes) or true volume rendering are highly desirable visualization options but are computationally and technically challenging.…”
Section: Normal Mode Observationsmentioning
confidence: 99%
“…Vote maps are generated as in Figure 6, except that areas of less than six votes are shaded uniformly grey. SubMachine and other tomography portals (e.g., Becker & Boschi, 2002;Hutko et al, 2017;Kim et al, 2016) render 2-D slices extracted from volumetric data sets. As an extension to 3-D rendering, isosurface (2-D hyperplanes) or true volume rendering are highly desirable visualization options but are computationally and technically challenging.…”
Section: Normal Mode Observationsmentioning
confidence: 99%
“…As data assimilation and working with numerical modeling output from large‐scale parallel simulations become an integral part of modern scientific research, new tools are required to analyze and conceptualize the information (Anderson et al, ; Billen et al, ; Damon et al, ; Erlebacher et al, ; Jadamec et al, ; Kellogg et al, ; Kreylos et al, ; Suarez et al, ; Wessel et al, ; Zhou & Liu, ). With the new digital framework for research, scientific contributions are taking the form of multiple formats from contributed software (Hwang et al, ; Zhong et al, ) and workflows (Jadamec, ), to large‐scale data sets and integrated parsers (Anderson et al, ; Haxby et al, ; Hutko et al, ; Trabant et al, ), to fully visual formats to communicate the digital and 3‐D information, as in this paper.…”
Section: Discussionmentioning
confidence: 99%
“…As data assimilation and working with numerical modeling output from large-scale parallel simulations become an integral part of modern scientific research, new tools are required to analyze and conceptualize the information (Anderson et al, 2009;Billen et al, 2008;Damon et al, 2008;Erlebacher et al, 2001;Kellogg et al, 2008;Kreylos et al, 2006;Suarez et al, 2008;Wessel et al, 2013;Zhou & Liu, 2017). With the new digital framework for research, scientific contributions are taking the form of multiple formats from contributed software (Hwang et al, 2017;Zhong et al, 2015) and workflows (Jadamec, 2016a), to large-scale data sets and integrated parsers (Anderson et al, 2009;Haxby et al, 2010;Hutko et al, 2017;Trabant et al, 2012), to fully visual formats to communicate the digital and 3-D information, as in this paper. This need has also trickled down into the undergraduate and graduate curriculum, as students are now faced with manipulating large geologic and geophysical data sets, such as LIDAR and 3-D seismic, as well as output from parallel numerical simulations (Jadamec, 2016a;Kellogg et al, 2008).…”
Section: -D Data Visualization Facilitating New Paradigms In Earth Smentioning
confidence: 99%
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“…The large coseismic slip, captured in the seismic moment M 0 , does not necessarily induce large shaking; slow and very long duration earthquakes of moment magnitude 6 or 7 only radiate weak ground motions (Beroza & Ide, ; Wallace & Beavan, ), while fast, short duration earthquakes of the same size, such as those in the Hindu Kush ranges, Afghanistan (Poli et al, ; Zhan & Kanamori, ), may generate country‐wide damage. The total amount of energy radiated in seismic waves E R may be inferred in the aftermath of the earthquake and is routinely calculated using regional and teleseismic waves (Convers & Newman, ; Hutko et al, ). To quantify the amount of radiation given the size of an earthquake, seismologists measure the scaled energy E S = E R / M 0 .…”
Section: Introductionmentioning
confidence: 99%