Posters

ESSI4.1
Data science, Analytics and Visualization: The challenges and opportunities for Earth and Space Science 

Data science, analytics and visualization technologies and methods emerge as significant capabilities that address a number of challenges and present new opportunities in improving Earth and Space science data usability. This session will highlight and discuss the novelty and strength of these emerging fields and technologies of these components, and their trends. We invite papers and presentations to examine and share the experience of:
- What benefits they offer to Earth and Space Science
- What science research challenges they address
- How they help transform science data into information and knowledge
- In what ways they can advance scientific research
- What lessons did we learn in the development and infusion of these methods and technologies

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Convener: Emily Law | Co-conveners: Simon Baillarin, Thomas Huang, Jens Klump
Posters
| Attendance Wed, 10 Apr, 08:30–10:15
 
Hall X1

Attendance time: Wednesday, 10 April 2019, 08:30–10:15 | Hall X1

Chairperson: Emily Law
X1.76 |
EGU2019-3119
Digital Heihe River System
Adan Wu
X1.77 |
EGU2019-6441
| Highlight
In-situ Visual Analysis of Geochemistry through Augmented Reality
Ulrich Engelke, Casey Rogers, and Jens Klump
X1.78 |
EGU2019-8204
BasinVis 2.0, estimation and application of the compaction trend for basin modelling
Johannes Novotny, Eun Young Lee, and Michael Wagreich
X1.79 |
EGU2019-8343
webODV - a tool for the online analysis of environmental data
Sebastian Mieruch and Reiner Schlitzer
X1.80 |
EGU2019-8942
Comparison of imaging capability of quasi-null and traditional arrays
Mohammad Zubair, Mohammad Israil, Ernő Prácser, and Szalai Sándor
X1.81 |
EGU2019-12075
The development of an Earth science cloud analytics reference architecture – lessons learned from Giovanni.
David Meyer, Chris Lynnes, Mahabaleshwa Hegde, Kwo-sen Kuo, Christine Smit, Angela Li, and Hailiang Zhang
X1.82 |
EGU2019-12455
Serpentinization and hydrocarbon formation from experiments: a machine learning approach
Fang Huang, Samuel Barbier, Muriel Andreani, Renbiao Tao, Jihua Hao, Osama Minhas, Kathleen Fontaine, Peter Fox, and Isabelle Daniel
X1.83 |
EGU2019-14065
| Highlight
Data visualization dashboards to facilitate data set exploration and produce information from data for the Irish Wave and Weather Buoy Network time-series.
Rob Thomas, Donnchadh Ó Foghlú, Kieran Lyons, and Will Meaney
X1.84 |
EGU2019-14917
Italian NODC, from the ingestion to the publication of the European marine environmental data
Matteo Vinci, Alessandra Giorgetti, Alberto Brosich, Maria Eugenia Molina Jack, Maria del Mar Chaves Montero, Elena Partescano, and Alessandro Altenburger
X1.85 |
EGU2019-15196
Investigating the relationship between earthquakes and online news
Stephen Camilleri, Joel Azzopardi, and Matthew Agius
X1.86 |
EGU2019-17286
| presentation
Visualization of global Argo metadata - A comprehensive view of contributions by Data Assembly Centers
Pavan Kumar Jonnakuti and Udaya Bhaskar Tata V S