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    <completedDate>--</completedDate>
    <publishedDate>2017-09-01</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">An Application-Oriented Framework for Feature Tracking in Atmospheric Sciences</title>
    <abstract language="eng">In atmospheric sciences, sizes of data sets grow continuously due to increasing resolutions. A central task is the comparison of spatiotemporal fields, to assess different simulations and to compare simulations with observations. A significant information reduction is possible by focusing on geometric-topological features of the fields or on derived meteorological objects. Due to the huge size of the data sets, spatial features have to be extracted in time slices and traced over time. Fields with chaotic component, i.e. without 1:1 spatiotemporal correspondences, can be compared by looking upon statistics of feature properties. Feature extraction, however, requires a clear mathematical definition of the features – which many meteorological objects still lack. Traditionally, object extractions are often heuristic, defined only by implemented algorithms, and thus are not comparable. This work surveys our framework designed for efficient development of feature tracking methods and for testing new feature definitions. The framework supports well-established visualization practices and is being used by atmospheric researchers to diagnose and compare data.</abstract>
    <identifier type="issn">1438-0064</identifier>
    <identifier type="urn">urn:nbn:de:0297-zib-72617</identifier>
    <enrichment key="SourceTitle">2017 IEEE 7th Symposium on Large Data Analysis and Visualization (LDAV) (2017), pp. 96-97</enrichment>
    <author>Daisuke Sakurai</author>
    <submitter>Daisuke Sakurai</submitter>
    <author>Hans-Christian Hege</author>
    <author>Alexander Kuhn</author>
    <author>Henning Rust</author>
    <author>Bastian Kern</author>
    <author>Tom-Lukas Breitkopf</author>
    <series>
      <title>ZIB-Report</title>
      <number>17-50</number>
    </series>
    <collection role="institutes" number="vis">Visual Data Analysis</collection>
    <collection role="persons" number="hege">Hege, Hans-Christian</collection>
    <collection role="projects" number="HD(CP)2">HD(CP)2</collection>
    <collection role="institutes" number="VDcC">Visual and Data-centric Computing</collection>
    <file>https://opus4.kobv.de/opus4-zib/files/7261/poster-vis2017.pdf</file>
  </doc>
  <doc>
    <id>6179</id>
    <completedYear>2017</completedYear>
    <publishedYear>2017</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst>171</pageFirst>
    <pageLast/>
    <pageNumber/>
    <edition/>
    <issue>3</issue>
    <volume>123</volume>
    <type>article</type>
    <publisherName/>
    <publisherPlace/>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>0</belongsToBibliography>
    <completedDate>2017-02-17</completedDate>
    <publishedDate>2017-02-17</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">Revealing hidden text in rolled and folded papyri</title>
    <abstract language="eng">Ancient Egyptian papyri are often folded, rolled up or kept as small packages, sometimes even sealed. Physically unrolling or unfolding these packages might severely damage them. We demonstrate a way to get access to the hidden script without physical unfolding by employing computed tomography and mathematical algorithms for virtual unrolling and unfolding. Our algorithmic approaches are combined with manual interaction. This provides the necessary flexibility to enable the unfolding of even complicated and partly damaged papyrus packages. In addition, it allows us to cope with challenges posed by the structure of ancient papyrus, which is rather irregular, compared to other writing substrates like metallic foils or parchment. Unfolding of packages is done in two stages. In the first stage, we virtually invert the physical folding process step by step until the partially unfolded package is topologically equivalent to a scroll or a papyrus sheet folded only along one fold line. To minimize distortions at this stage, we apply the method of moving least squares. In the second stage, the papyrus is simply flattened, which requires the definition of a medial surface. We have applied our software framework to several papyri. In this work, we present the results of applying our approaches to mockup papyri that were either rolled or folded along perpendicular fold lines. In the case of the folded papyrus, our approach represents the first attempt to address the unfolding of such complicated folds.</abstract>
    <parentTitle language="eng">Applied Physics A</parentTitle>
    <identifier type="doi">10.1007/s00339-017-0808-6</identifier>
    <enrichment key="PeerReviewed">yes</enrichment>
    <enrichment key="PreprintUrn">urn:nbn:de:0297-zib-61826</enrichment>
    <author>Daniel Baum</author>
    <submitter>Daniel Baum</submitter>
    <author>Norbert Lindow</author>
    <author>Hans-Christian Hege</author>
    <author>Verena Lepper</author>
    <author>Tzulia Siopi</author>
    <author>Frank Kutz</author>
    <author>Kristin Mahlow</author>
    <author>Heinz-Eberhard Mahnke</author>
    <collection role="institutes" number="vis">Visual Data Analysis</collection>
    <collection role="institutes" number="visalgo">Visual Data Analysis in Science and Engineering</collection>
    <collection role="institutes" number="vissys">Image Analysis in Biology and Materials Science</collection>
    <collection role="persons" number="baum">Baum, Daniel</collection>
    <collection role="persons" number="hege">Hege, Hans-Christian</collection>
    <collection role="persons" number="norbert.lindow">Lindow, Norbert</collection>
    <collection role="projects" number="PAPYRUS">PAPYRUS</collection>
    <collection role="institutes" number="VDcC">Visual and Data-centric Computing</collection>
    <thesisPublisher>Zuse Institute Berlin (ZIB)</thesisPublisher>
  </doc>
  <doc>
    <id>6182</id>
    <completedYear/>
    <publishedYear/>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst/>
    <pageLast/>
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    <issue/>
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    <type>reportzib</type>
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    <completedDate>--</completedDate>
    <publishedDate>2017-01-25</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">Revealing hidden text in rolled and folded papyri</title>
    <abstract language="eng">Ancient Egyptian papyri are often folded, rolled up or kept as small packages, sometimes even sealed. Physically unrolling or unfolding these packages might severely damage them. We demonstrate a way to get access to the hidden script without physical unfolding by employing computed tomography and mathematical algorithms for virtual unrolling and unfolding. Our algorithmic approaches are combined with manual interaction. This provides the necessary flexibility to enable the unfolding of even complicated and partly damaged papyrus packages. In addition, it allows us to cope with challenges posed by the structure of ancient papyrus, which is rather irregular, compared to other writing substrates like metallic foils or parchment. Unfolding of packages is done in two stages. In the first stage, we virtually invert the physical folding process step by step until the partially unfolded package is topologically equivalent to a scroll or a papyrus sheet folded only along one fold line. To minimize distortions at this stage, we apply the method of moving least squares. In the second stage, the papyrus is simply flattened, which requires the definition of a medial surface. We have applied our software framework to several papyri. In this work, we present the results of applying our approaches to mockup papyri that were either rolled or folded along perpendicular fold lines. In the case of the folded papyrus, our approach represents the first attempt to address the unfolding of such complicated folds.</abstract>
    <identifier type="issn">1438-0064</identifier>
    <identifier type="urn">urn:nbn:de:0297-zib-61826</identifier>
    <identifier type="doi">10.1007/s00339-017-0808-6</identifier>
    <enrichment key="SourceTitle">Appeared in: Applied Physics A 123 (2017) pp. 171</enrichment>
    <author>Daniel Baum</author>
    <submitter>Daniel Baum</submitter>
    <author>Norbert Lindow</author>
    <author>Hans-Christian Hege</author>
    <author>Verena Lepper</author>
    <author>Tzulia Siopi</author>
    <author>Frank Kutz</author>
    <author>Kristin Mahlow</author>
    <author>Heinz-Eberhard Mahnke</author>
    <series>
      <title>ZIB-Report</title>
      <number>17-02</number>
    </series>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>unfolding, papyri, computed tomography</value>
    </subject>
    <collection role="ccs" number="J.">Computer Applications</collection>
    <collection role="pacs" number="80.00.00">INTERDISCIPLINARY PHYSICS AND RELATED AREAS OF SCIENCE AND TECHNOLOGY</collection>
    <collection role="msc" number="68-XX">COMPUTER SCIENCE (For papers involving machine computations and programs in a specific mathematical area, see Section -04 in that area)</collection>
    <collection role="institutes" number="vis">Visual Data Analysis</collection>
    <collection role="persons" number="baum">Baum, Daniel</collection>
    <collection role="persons" number="hege">Hege, Hans-Christian</collection>
    <collection role="persons" number="norbert.lindow">Lindow, Norbert</collection>
    <collection role="projects" number="no-project">no-project</collection>
    <collection role="institutes" number="VDcC">Visual and Data-centric Computing</collection>
    <file>https://opus4.kobv.de/opus4-zib/files/6182/ZR-17-02.pdf</file>
  </doc>
  <doc>
    <id>6535</id>
    <completedYear/>
    <publishedYear/>
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    <language>eng</language>
    <pageFirst/>
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    <edition/>
    <issue/>
    <volume/>
    <type>reportzib</type>
    <publisherName/>
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    <contributingCorporation/>
    <belongsToBibliography>0</belongsToBibliography>
    <completedDate>--</completedDate>
    <publishedDate>2017-10-17</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">Blue-noise Optimized Point Sets Based on Procrustes Analysis</title>
    <abstract language="eng">In this paper, we propose a new method for optimizing the blue noise characteristics of point sets. It is based on Procrustes analysis, a technique for adjusting shapes to each other by applying optimal elements of an appropriate transformation group. We adapt this technique to the problem at hand and introduce a very simple, efficient and provably convergent point set optimizer.</abstract>
    <identifier type="issn">1438-0064</identifier>
    <identifier type="urn">urn:nbn:de:0297-zib-65356</identifier>
    <enrichment key="PeerReviewed">yes</enrichment>
    <enrichment key="SourceTitle">SA ’17 – Siggraph Asia 2017, Technical Briefs, Article No 20, 27-30 November 2017, Bangkok, Thailand</enrichment>
    <enrichment key="FulltextUrl">http://dx.doi.org/10.1145/3145749.3149442</enrichment>
    <author>Chavdar Papazov</author>
    <submitter>Hans-Christian Hege</submitter>
    <author>Hans-Christian Hege</author>
    <series>
      <title>ZIB-Report</title>
      <number>17-55</number>
    </series>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>blue-noise</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>point set optimization</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>triangulation</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Procrustes analysis</value>
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    <collection role="ccs" number="I.3.m">Miscellaneous</collection>
    <collection role="institutes" number="vis">Visual Data Analysis</collection>
    <collection role="institutes" number="visalgo">Visual Data Analysis in Science and Engineering</collection>
    <collection role="persons" number="hege">Hege, Hans-Christian</collection>
    <collection role="projects" number="MultiscaleVirtualFish">MultiscaleVirtualFish</collection>
    <collection role="institutes" number="VDcC">Visual and Data-centric Computing</collection>
    <file>https://opus4.kobv.de/opus4-zib/files/6535/ZIB_Report_17_55-1.pdf</file>
  </doc>
  <doc>
    <id>6767</id>
    <completedYear/>
    <publishedYear>2017</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst>20:1</pageFirst>
    <pageLast>20:4</pageLast>
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    <title language="eng">Blue-noise Optimized Point Sets Based on Procrustes Analysis</title>
    <parentTitle language="eng">SIGGRAPH Asia 2017 Technical Briefs</parentTitle>
    <identifier type="doi">10.1145/3145749.3149442</identifier>
    <enrichment key="PeerReviewed">yes</enrichment>
    <enrichment key="PreprintUrn">urn:nbn:de:0297-zib-65356</enrichment>
    <author>Chavdar Papazov</author>
    <submitter>Steffen Prohaska</submitter>
    <author>Hans-Christian Hege</author>
    <collection role="institutes" number="vis">Visual Data Analysis</collection>
    <collection role="institutes" number="visalgo">Visual Data Analysis in Science and Engineering</collection>
    <collection role="persons" number="hege">Hege, Hans-Christian</collection>
    <collection role="projects" number="MultiscaleVirtualFish">MultiscaleVirtualFish</collection>
    <collection role="institutes" number="VDcC">Visual and Data-centric Computing</collection>
  </doc>
  <doc>
    <id>6668</id>
    <completedYear/>
    <publishedYear>2017</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst>96</pageFirst>
    <pageLast>97</pageLast>
    <pageNumber/>
    <edition/>
    <issue/>
    <volume/>
    <type>conferenceobject</type>
    <publisherName/>
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    <completedDate>--</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">An Application-Oriented Framework for Feature Tracking in Atmospheric Sciences</title>
    <abstract language="eng">In atmospheric sciences, sizes of data sets grow continuously due to increasing resolutions. A central task is the comparison of spatiotemporal fields, to assess different simulations and to compare simulations with observations. A significant information reduction is possible by focusing on geometric-topological features of the fields or on derived meteorological objects. Due to the huge size of the data sets, spatial features have to be extracted in time slices and traced over time. Fields with chaotic component, i.e. without 1:1 spatiotemporal correspondences, can be compared by looking upon statistics of feature properties. Feature extraction, however, requires a clear mathematical definition of the features - which many meteorological objects still lack. Traditionally, object extractions are often heuristic, defined only by implemented algorithms, and thus are not comparable. This work surveys our framework designed for efficient development of feature tracking methods and for testing new feature definitions. The framework supports well-established visualization practices and is being used by atmospheric researchers to diagnose and compare data.</abstract>
    <parentTitle language="eng">Proceedings of 2017 IEEE 7th Symposium on Large Data Analysis and Visualization (LDAV)</parentTitle>
    <identifier type="doi">10.1109/LDAV.2017.8231857</identifier>
    <identifier type="urn">urn:nbn:de:0297-zib-66685</identifier>
    <enrichment key="PeerReviewed">no</enrichment>
    <enrichment key="PreprintUrn">urn:nbn:de:0297-zib-72617</enrichment>
    <author>Daisuke Sakurai</author>
    <submitter>Daisuke Sakurai</submitter>
    <author>Hans-Christian Hege</author>
    <author>Alexander Kuhn</author>
    <author>Henning Rust</author>
    <author>Bastian Kern</author>
    <author>Tom-Lukas Breitkopf</author>
    <collection role="institutes" number="vis">Visual Data Analysis</collection>
    <collection role="institutes" number="visalgo">Visual Data Analysis in Science and Engineering</collection>
    <collection role="persons" number="hege">Hege, Hans-Christian</collection>
    <collection role="projects" number="HD(CP)2">HD(CP)2</collection>
    <collection role="institutes" number="VDcC">Visual and Data-centric Computing</collection>
  </doc>
  <doc>
    <id>6677</id>
    <completedYear/>
    <publishedYear>2017</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst>09050-1</pageFirst>
    <pageLast>09050-3</pageLast>
    <pageNumber/>
    <edition/>
    <issue/>
    <volume>2</volume>
    <type>article</type>
    <publisherName/>
    <publisherPlace/>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>0</belongsToBibliography>
    <completedDate>--</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">Progressive Monte Carlo rendering of atmospheric flow features across scales</title>
    <abstract language="eng">To improve existing weather prediction and reanalysis capabilities, high-resolution and multi-modal climate data becomes an increasingly important topic. The advent of increasingly dense numerical simulation of atmospheric phenomena, provides new means to better understand dynamic processes and to visualize structural flow patterns that remain hidden otherwise. In the presented illustrations we demonstrate an advanced technique to visualize multiple scales of dense flow fields and Lagrangian patterns therein, simulated by state-of-the-art simulation models for each scale. They provide a deeper insight into the structural differences and patterns that occur on each scale and highlight the complexity of flow phenomena in our atmosphere.&#13;
&#13;
This paper is associated with a poster winner of a 2016 APS/DFD Milton van Dyke Award for work presented at the DFD Gallery of Fluid Motion. The original poster is available from the Gallery of Fluid Motion, https://doi.org/10.1103/APS.DFD.2016.GFM.P0030</abstract>
    <parentTitle language="eng">Physical Review Fluids</parentTitle>
    <identifier type="doi">10.1103/PhysRevFluids.2.090502</identifier>
    <enrichment key="PeerReviewed">yes</enrichment>
    <author>Tobias Günther</author>
    <submitter>Hans-Christian Hege</submitter>
    <author>Alexander Kuhn</author>
    <author>Hans-Christian Hege</author>
    <author>Markus Gross</author>
    <author>Holger Theisel</author>
    <collection role="institutes" number="vis">Visual Data Analysis</collection>
    <collection role="institutes" number="visalgo">Visual Data Analysis in Science and Engineering</collection>
    <collection role="persons" number="hege">Hege, Hans-Christian</collection>
    <collection role="projects" number="HD(CP)2">HD(CP)2</collection>
    <collection role="institutes" number="VDcC">Visual and Data-centric Computing</collection>
  </doc>
  <doc>
    <id>6269</id>
    <completedYear/>
    <publishedYear>2017</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst>409</pageFirst>
    <pageLast>411</pageLast>
    <pageNumber/>
    <edition/>
    <issue/>
    <volume/>
    <type>conferenceobject</type>
    <publisherName/>
    <publisherPlace/>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>0</belongsToBibliography>
    <completedDate>--</completedDate>
    <publishedDate>2017-03-20</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">devEyes: Tangible Devices on Augmented Passive Surfaces</title>
    <abstract language="eng">We present a novel approach to turn smartphones/ tablets into tangible near-surface devices with augmented reality (AR) capability on virtually any passive surface, like desks, tables and wallboards. A low-cost optoelectronic add-on for the device back camera enables position tracking on an almost invisible printable fiducial marker grid. This approach is promising in terms of adoption potential because it can be used anywhere with existing devices, requires no dedicated hardware installations and is applicable to a broad range of real-world applications.</abstract>
    <parentTitle language="eng">TEI '17 Proceedings of the Eleventh International Conference on Tangible, Embedded, and Embodied Interaction, Yokohama, Japan, March 20 - 23, 2017</parentTitle>
    <identifier type="doi">10.1145/3024969.3025065</identifier>
    <enrichment key="PeerReviewed">yes</enrichment>
    <author>Liviu Coconu</author>
    <submitter>Hans-Christian Hege</submitter>
    <author>Hans-Christian Hege</author>
    <collection role="institutes" number="vis">Visual Data Analysis</collection>
    <collection role="persons" number="hege">Hege, Hans-Christian</collection>
    <collection role="projects" number="no-project">no-project</collection>
    <collection role="institutes" number="VDcC">Visual and Data-centric Computing</collection>
  </doc>
  <doc>
    <id>6270</id>
    <completedYear/>
    <publishedYear>2017</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst>69</pageFirst>
    <pageLast>100</pageLast>
    <pageNumber/>
    <edition/>
    <issue>702</issue>
    <volume>143</volume>
    <type>article</type>
    <publisherName/>
    <publisherPlace/>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>0</belongsToBibliography>
    <completedDate>--</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">Large-eddy simulations over Germany using ICON: a comprehensive evaluation</title>
    <abstract language="eng">Large-eddy simulations (LES) with the new ICOsahedral Non-hydrostatic atmosphere model (ICON) covering Germany are evaluated for four days in spring 2013 using observational data from various sources. Reference simulations with the established Consortium for Small-scale Modelling (COSMO) numerical weather prediction model and further standard LES codes are performed and used as a reference. This comprehensive evaluation approach covers multiple parameters and scales, focusing on boundary-layer variables, clouds and precipitation. The evaluation points to the need to work on parametrizations influencing the surface energy balance, and possibly on ice cloud microphysics. The central purpose for the development and application of ICON in the LES configuration is the use of simulation results to improve the understanding of moist processes, as well as their parametrization in climate models. The evaluation thus aims at building confidence in the model's ability to simulate small- to mesoscale variability in turbulence, clouds and precipitation. The results are encouraging: the high-resolution model matches the observed variability much better at small- to mesoscales than the coarser resolved reference model. In its highest grid resolution, the simulated turbulence profiles are realistic and column water vapour matches the observed temporal variability at short time-scales. Despite being somewhat too large and too frequent, small cumulus clouds are well represented in comparison with satellite data, as is the shape of the cloud size spectrum. Variability of cloud water matches the satellite observations much better in ICON than in the reference model. In this sense, it is concluded that the model is fit for the purpose of using its output for parametrization development, despite the potential to improve further some important aspects of processes that are also parametrized in the high-resolution model.</abstract>
    <parentTitle language="eng">Quarterly Journal of the Royal Meteorological Society</parentTitle>
    <identifier type="doi">10.1002/qj.2947</identifier>
    <enrichment key="PeerReviewed">yes</enrichment>
    <author>Rieke Heinze</author>
    <submitter>Hans-Christian Hege</submitter>
    <author>Anurag Dipankar</author>
    <author>Cintia Carbajal Henken</author>
    <author>Christopher Moseley</author>
    <author>Odran Sourdeval</author>
    <author>Silke Trömel</author>
    <author>Xinxin Xie</author>
    <author>Panos Adamidis</author>
    <author>Felix Ament</author>
    <author>Holger Baars</author>
    <author>Christian Barthlott</author>
    <author>Andreas Behrendt</author>
    <author>Ulrich Blahak</author>
    <author>Sebastian Bley</author>
    <author>Slavko Brdar</author>
    <author>Matthias Brueck</author>
    <author>Susanne Crewell</author>
    <author>Hartwig Deneke</author>
    <author>Paolo Di Girolamo</author>
    <author>Raquel Evaristo</author>
    <author>Jürgen Fischer</author>
    <author>Christopher Frank</author>
    <author>Petra Friederichs</author>
    <author>Tobias Göcke</author>
    <author>Ksenia Gorges</author>
    <author>Luke Hande</author>
    <author>Moritz Hanke</author>
    <author>Akio Hansen</author>
    <author>Hans-Christian Hege</author>
    <author>Corinna Hose</author>
    <author>Thomas Jahns</author>
    <author>Norbert Kalthoff</author>
    <author>Daniel Klocke</author>
    <author>Stefan Kneifel</author>
    <author>Peter Knippertz</author>
    <author>Alexander Kuhn</author>
    <author>Thriza van Laar</author>
    <author>Andreas Macke</author>
    <author>Vera Maurer</author>
    <author>Bernhard Mayer</author>
    <author>Catrin I. Meyer</author>
    <author>Shravan K. Muppa</author>
    <author>Roeland A. J. Neggers</author>
    <author>Emiliano Orlandi</author>
    <author>Florian Pantillon</author>
    <author>Bernhard Pospichal</author>
    <author>Niklas Röber</author>
    <author>Leonhard Scheck</author>
    <author>Axel Seifert</author>
    <author>Patric Seifert</author>
    <author>Fabian Senf</author>
    <author>Pavan Siligam</author>
    <author>Clemens Simmer</author>
    <author>Sandra Steinke</author>
    <author>Bjorn Stevens</author>
    <author>Kathrin Wapler</author>
    <author>Michael Weniger</author>
    <author>Volker Wulfmeyer</author>
    <author>Günther Zängl</author>
    <author>Dan Zhang</author>
    <author>Johannes Quaas</author>
    <collection role="institutes" number="vis">Visual Data Analysis</collection>
    <collection role="institutes" number="visalgo">Visual Data Analysis in Science and Engineering</collection>
    <collection role="persons" number="hege">Hege, Hans-Christian</collection>
    <collection role="projects" number="HD(CP)2">HD(CP)2</collection>
    <collection role="institutes" number="VDcC">Visual and Data-centric Computing</collection>
  </doc>
  <doc>
    <id>6302</id>
    <completedYear/>
    <publishedYear>2017</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst/>
    <pageLast/>
    <pageNumber/>
    <edition/>
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    <type>conferenceobject</type>
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    <belongsToBibliography>0</belongsToBibliography>
    <completedDate>--</completedDate>
    <publishedDate>2017-03-27</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">Object-based visualization and evaluation of cloud-resolving simulations</title>
    <abstract language="eng">Recent advances in high-resolution, cloud resolving simulation models pose several challenges towards respective analysis methodologies. To enable efficient comparison and validation of such models efficient, scalable, and informative diagnostic procedures are mandatory. In this talk, an object-based evaluation scheme based on the notion of scalar field topology will be presented. The presentation will cover the application of topological clustering procedures for object identification, tracking, and the retrieval of object-based statistics. The pro-posed methodology is shown to enable an advanced in-depth evaluation and visualization of high cloud-resolving models. Using a newly developed large-scale high-resolution model (i.e., HD(CP)2 ICON), it will be demonstrated that the presented procedures are applicable to assess the model performance compared to measurements (e.g., radar, satellite) and standard operational models (COSMO) at different domains and spatial scales.</abstract>
    <parentTitle language="eng">Book of Abstracts, SCCS 2017 – Scaling Cascades in Complex Systems, Mar 27-29, 2017, Berlin, Germany</parentTitle>
    <enrichment key="PeerReviewed">no</enrichment>
    <author>Alexander Kuhn</author>
    <submitter>Hans-Christian Hege</submitter>
    <author>Hans-Christian Hege</author>
    <collection role="institutes" number="vis">Visual Data Analysis</collection>
    <collection role="persons" number="hege">Hege, Hans-Christian</collection>
    <collection role="projects" number="HD(CP)2">HD(CP)2</collection>
    <collection role="institutes" number="VDcC">Visual and Data-centric Computing</collection>
  </doc>
  <doc>
    <id>6427</id>
    <completedYear/>
    <publishedYear>2017</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst>35</pageFirst>
    <pageLast>50</pageLast>
    <pageNumber/>
    <edition/>
    <issue/>
    <volume/>
    <type>conferenceobject</type>
    <publisherName>Springer</publisherName>
    <publisherPlace>Cham, Schweiz</publisherPlace>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>0</belongsToBibliography>
    <completedDate>2017-06-03</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">Topology-based Analysis for Multimodal Atmospheric Data of Volcano Eruptions</title>
    <parentTitle language="eng">Topological Methods in Data Analysis and Visualization IV</parentTitle>
    <identifier type="doi">10.1007/978-3-319-44684-4_2</identifier>
    <enrichment key="PeerReviewed">yes</enrichment>
    <enrichment key="PreprintUrn">urn:nbn:de:0297-zib-57043</enrichment>
    <author>Alexander Kuhn</author>
    <submitter>Regine Kossick</submitter>
    <author>Wito Engelke</author>
    <author>Markus Flatken</author>
    <author>Hans-Christian Hege</author>
    <author>Ingrid Hotz</author>
    <collection role="institutes" number="vis">Visual Data Analysis</collection>
    <collection role="institutes" number="visalgo">Visual Data Analysis in Science and Engineering</collection>
    <collection role="persons" number="hege">Hege, Hans-Christian</collection>
    <collection role="projects" number="HD(CP)2">HD(CP)2</collection>
    <collection role="institutes" number="VDcC">Visual and Data-centric Computing</collection>
  </doc>
  <doc>
    <id>6633</id>
    <completedYear>2017</completedYear>
    <publishedYear>2017</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst/>
    <pageLast/>
    <pageNumber/>
    <edition/>
    <issue/>
    <volume/>
    <type>reportzib</type>
    <publisherName/>
    <publisherPlace/>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>0</belongsToBibliography>
    <completedDate>--</completedDate>
    <publishedDate>2017-12-23</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">Dust and gas emission from cometary nuclei: the case of comet 67P/Churyumov-Gerasimenko</title>
    <abstract language="eng">Comets display with decreasing solar distance an increased emission of gas and dust particles, leading to the formation of the coma and tail. Spacecraft missions provide insight in the temporal and spatial variations of the dust and gas sources located on the cometary nucleus. For the case of comet 67P/Churyumov-Gerasimenko (67P/C-G), the long-term obser- vations from the Rosetta mission point to a homogeneous dust emission across the entire illuminated surface. Despite the homogeneous initial dis- tribution, a collimation in jet-like structures becomes visible. We propose that this observation is linked directly to the complex shape of the nucleus and projects concave topographical features into the dust coma. To test this hypothesis, we put forward a gas-dust description of 67P/C-G, where gravitational and gas forces are accurately determined from the surface mesh and the rotation of the nucleus is fully incorporated. The emerging jet-like structures persist for a wide range of gas-dust interactions and show a dust velocity dependent bending.</abstract>
    <identifier type="urn">urn:nbn:de:0297-zib-66338</identifier>
    <identifier type="issn">1438-0064</identifier>
    <enrichment key="SourceTitle">Appeared in: Advances in Physics: X, 3(1), p. 1404436, 2018</enrichment>
    <author>Tobias Kramer</author>
    <submitter>Daniel Baum</submitter>
    <author>Matthias Noack</author>
    <author>Daniel Baum</author>
    <author>Hans-Christian Hege</author>
    <author>Eric J. Heller</author>
    <series>
      <title>ZIB-Report</title>
      <number>17-78</number>
    </series>
    <collection role="institutes" number="vis">Visual Data Analysis</collection>
    <collection role="institutes" number="vas">Distributed Algorithms and Supercomputing</collection>
    <collection role="persons" number="baum">Baum, Daniel</collection>
    <collection role="persons" number="hege">Hege, Hans-Christian</collection>
    <collection role="persons" number="kramer">Kramer, Tobias</collection>
    <collection role="projects" number="2015-Comet">2015-Comet</collection>
    <collection role="institutes" number="VDcC">Visual and Data-centric Computing</collection>
    <file>https://opus4.kobv.de/opus4-zib/files/6633/ZR-17-78.pdf</file>
  </doc>
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