As in recent years, the contest offers the opportunity to transfer cutting-edge visualization research to a specific, real-world application scenario. Beyond the mere achievement of having solved an inherently tricky problem, we put out a number of other incentives to join the contest.
First of all, we are delighted to announce that we are directly collaborating with the editorial staff of IEEE Computer Graphics and Applications (CG&A) in order to get the winning entry published as a peer-reviewed, full paper. The submission of the winning entry will be treated as an extended abstract for a CG&A submission. With winning the contest, it will successfully have completed the first of two review cycles. After the contest results have been announced, the winners will be asked to submit a revised and extended version of their submission. This paper will then undergo another formal review by CG&A.
Furthermore, if our climate scientists are really intrigued by your results and contributions, we might invite you (two team members) to Hamburg for a visit of DKRZ and MPI-M. Here you will be able to present your work and your visualizations to the climate scientists who provided the data and who work with the model and the data on a daily basis.
Finally, the contest will be a visible activity at IEEE VIS 2017. Dependent on available disk space, we hope to publish all positively reviewed entries via the electronic conference proceedings. Additionally, contest winners will be recognized with a certificate and provided the opportunity to present their work during the IEEE VIS 2017 Contest Session. The winning entry will also have the opportunity to present a poster during the IEEE VIS 2017 regular poster session. To support these onsite activities, one complementary registration for IEEE VIS 2017 will be provided to the contest winner. (Depending on circumstances, other submissions may also be granted some of these opportunities.)
A jury of climate scientists and visualization experts will carefully judge each submission. Since the main goal of the visualization contest is to promote the transfer of cutting-edge visualization research to concrete application domains, the rating will be in favor of the domain experts' assessments with a weighting of 2:1. Therefore, successful entries will first and foremost provide an insightful visualization that actually helps atmospheric researchers gain insight from the data provided.
A jury consisting of climate scientists working with ICON and running HD(CP)² simulations, as well as visualization experts judges each submission carefully. The jury consists of:
is a postdoctoral scientist and model expert user of the HD(CP)² ICON-LEM physics and the model setup. He received his Master’s degree from the University Hamburg and his Ph.D. at the University Leipzig in the framework of the first phase of HD(CP)². His research interests are clouds. In particular their high-resolution simulation and statistical properties.
is a scientific programmer at German Climate Computing Center. She has an experience working with different type of models, ranging from regional scale to global climate models. She received a Ph.D. in natural sciences in 2008. Her research focuses on climate variability and cloud processes.
joined MPI-M in 2015 as a postdoctoral scientist. She received her Master's degree and a Ph.D. in meteorology from Leibniz University Hannover, Germany. She is interested in the high resolution simulation of turbulent flows and the development of weather- and climate models.
received his M.S. in Computer Science from the University of Colorado, Boulder in 1991. He has been a visualization practitioner at the National Center for Atmospheric Research since 1988. He is both a software developer, currently managing the open source, earth sciences focused VAPOR and NCL projects, and a researcher. His current research interests focus on lossy compression of scientific data.
is a Postdoctoral Research Fellow at the Department of Visual Data Analysis at the Zuse Insitute Berlin (ZIB), Germany. In 2009, he received the M.Sc. in Computational Visualistics and in 2013, a Ph.D. in Computer Science from the University of Magdeburg. His research interests include the visualization and analysis of flow fields, time-dependent data, and topological methods.
received a BS degree, two MS degrees, and the Degree of Engineer in Civil Engineering from Stanford University. She is the editor of the Visualization Viewpoints Department for IEEE Computer Graphics & Applications Magazine and serves as Associate Editor of IEEE Computing Now. Theresa-Marie is also the founding director of the Association for Computing Machinery Special Interest Group on Graphics Cartographic Visualization Project (ACM SIGGRAPH Carto Project) that began in 1996.
joined DKRZ in 2009 as a member of the scientific staff. He received a Master’s degree and a Ph.D. in computer science from the University of Magdeburg, and an MBA from the University of Wales. His research interests are centred around the visualization and analysis of climate model data, especially the visualization of extremely large, unstructured climate simulations.