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  • 1
    In: PLoS ONE, 2015, Vol.10(4)
    Description: Background To achieve more realistic simulations, meteorologists develop and use models with increasing spatial and temporal resolution. The analyzing, comparing, and visualizing of resulting simulations becomes more and more challenging due to the growing amounts and multifaceted character of the data. Various data sources, numerous variables and multiple simulations lead to a complex database. Although a variety of software exists suited for the visualization of meteorological data, none of them fulfills all of the typical domain-specific requirements: support for quasi-standard data formats and different grid types, standard visualization techniques for scalar and vector data, visualization of the context (e.g., topography) and other static data, support for multiple presentation devices used in modern sciences (e.g., virtual reality), a user-friendly interface, and suitability for cooperative work. Methods and Results Instead of attempting to develop yet another new visualization system to fulfill all possible needs in this application domain, our approach is to provide a flexible workflow that combines different existing state-of-the-art visualization software components in order to hide the complexity of 3D data visualization tools from the end user. To complete the workflow and to enable the domain scientists to interactively visualize their data without advanced skills in 3D visualization systems, we developed a lightweight custom visualization application (MEVA - multifaceted environmental data visualization application) that supports the most relevant visualization and interaction techniques and can be easily deployed. Specifically, our workflow combines a variety of different data abstraction methods provided by a state-of-the-art 3D visualization application with the interaction and presentation features of a computer-games engine. Our customized application includes solutions for the analysis of multirun data, specifically with respect to data uncertainty and differences between simulation runs. In an iterative development process, our easy-to-use application was developed in close cooperation with meteorologists and visualization experts. The usability of the application has been validated with user tests. We report on how this application supports the users to prove and disprove existing hypotheses and discover new insights. In addition, the application has been used at public events to communicate research results.
    Keywords: Research Article
    E-ISSN: 1932-6203
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  • 2
    Language: English
    In: Environmental Earth Sciences, 2014, Vol.72(10), pp.3767-3780
    Description: In the future, climate change will strongly influence our environment and living conditions. Weather and Climate simulations that predict possible changes produce big data sets. The combination of various variables of climate models with spatial data from different sources helps to identify correlations and to study key processes. In this paper, the results of the Weather Research and Forecasting model are visualized for two regions. For this purpose, a continuous workflow that leads from the integration of heterogeneous raw data to 3D visualizations that can be displayed on a desktop computer or in an interactive virtual reality environment is developed. These easy-to-understand visualizations of complex data are the basis for scientific communication and for the evaluation and verification of models as well as for interdisciplinary discussions of the research results.
    Keywords: Visualization ; Climate modeling ; WRF ; Virtual reality ; Visualization concept ; Visualization workflow ; OpenGeoSys Data Explorer
    ISSN: 1866-6280
    E-ISSN: 1866-6299
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  • 3
    Language: English
    In: Sustainable Cities and Society, April 2018, Vol.38, pp.31-41
    Description: While research has demonstrated that brownfield sites and vacant lots in inner-city areas have a cooling effect on the micro climate, less is known about how this effect changes during the redevelopment of a brownfield. It is often argued that redevelopment will lead to a loss of cooling effects. The connection between cool and compact cities is especially of interest as brownfield redevelopment is an important element of sustainable urban development strategies such as the dense city. We evaluate potential tensions between the Ecosystem Service of regulating the micro climate and urban densification processes using an empirical example, the case of the brownfield redevelopment of Bayerischer Bahnhof in Leipzig, Germany. We apply ENVI-met modeling and a virtual reality display system visualization to assess the complex connections between cool and compact cities. Our findings demonstrate that a co-existence between regulating the urban micro-climate and dense urban structures is possible. Smart urban planning approaches can, if properly implemented, reduce the so called “paradox of the compact city” and lead to cool compact urban areas. Through ENVI-met modeling and virtual reality display system visualization, the complex connections between cool and compact could be assessed.
    Keywords: Brownfields ; Revitalization ; Micro Climate ; Ecosystem Services ; Planning Strategies ; Trade-Offs ; Engineering
    ISSN: 2210-6707
    E-ISSN: 2210-6715
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  • 4
    Language: English
    In: Environmental Earth Sciences, Nov, 2014, Vol.72(10), p.3881(19)
    Description: Byline: Lars Bilke (1), Thomas Fischer (1), Carolin Helbig (1), Charlotte Krawczyk (9), Thomas Nagel (1), Dmitri Naumov (7), Sebastian Paulick (4), Karsten Rink (1), Agnes Sachse (2), Sophie Schelenz (3), Marc Walther (6), Norihiro Watanabe (1), Bjorn Zehner (8), Jennifer Ziesch (9), Olaf Kolditz (1,5) Keywords: Virtual reality; Visualization; Computer graphics; Data exploration; Hydrological processes; Geotechnics; Seismic data; OpenGeoSys; VISLAB Abstract: Scientific visualization is an integral part of the modeling workflow, enabling researchers to understand complex or large data sets and simulation results. A high-resolution stereoscopic virtual reality (VR) environment further enhances the possibilities of visualization. Such an environment also allows collaboration in work groups including people of different backgrounds and to present results of research projects to stakeholders or the public. The requirements for the computing equipment driving the VR environment demand specialized software applications which can be run in a parallel fashion on a set of interconnected machines. Another challenge is to devise a useful data workflow from source data sets onto the display system. Therefore, we develop software applications like the OpenGeoSys Data Explorer, custom data conversion tools for established visualization packages such as ParaView and Visualization Toolkit as well as presentation and interaction techniques for 3D applications like Unity. We demonstrate our workflow by presenting visualization results for case studies from a broad range of applications. An outlook on how visualization techniques can be deeply integrated into the simulation process is given and future technical improvements such as a simplified hardware setup are outlined. Author Affiliation: (1) Department of Environmental Informatics, Helmholtz Centre for Environmental Research, Leipzig, Germany (2) Department of Catchment Hydrology, Helmholtz Centre for Environmental Research, Leipzig, Germany (3) Department of Monitoring and Exploration Technologies, Helmholtz Centre for Environmental Research, Leipzig, Germany (4) Department of Ecologial Modelling, Helmholtz Centre for Environmental Research, Leipzig, Germany (5) Chair of Applied Environmental System Analysis, Technische University at Dresden, Dresden, Germany (6) Institute for Groundwater Management, Technische University at Dresden, Dresden, Germany (7) Faculty of Mechanical and Energy Engineering, Leipzig University of Applied Sciences, Leipzig, Germany (8) Federal Institute for Geosciences and Natural Resources, Berlin, Germany (9) Leibniz Institute for Applied Geophysics, Hannover, Germany Article History: Registration Date: 07/10/2014 Received Date: 25/08/2014 Accepted Date: 06/10/2014 Online Date: 19/10/2014
    Keywords: Visualization (Computer) -- Case Studies ; Engineering Geology -- Case Studies ; Hydrology -- Case Studies ; Workflow Software -- Case Studies ; Graphics Software -- Case Studies
    ISSN: 1866-6280
    Source: Cengage Learning, Inc.
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  • 5
    Language: English
    In: Environmental Earth Sciences, 2014, Vol.72(10), pp.3881-3899
    Description: Scientific visualization is an integral part of the modeling workflow, enabling researchers to understand complex or large data sets and simulation results. A high-resolution stereoscopic virtual reality (VR) environment further enhances the possibilities of visualization. Such an environment also allows collaboration in work groups including people of different backgrounds and to present results of research projects to stakeholders or the public. The requirements for the computing equipment driving the VR environment demand specialized software applications which can be run in a parallel fashion on a set of interconnected machines. Another challenge is to devise a useful data workflow from source data sets onto the display system. Therefore, we develop software applications like the OpenGeoSys Data Explorer, custom data conversion tools for established visualization packages such as ParaView and Visualization Toolkit as well as presentation and interaction techniques for 3D applications like Unity. We demonstrate our workflow by presenting visualization results for case studies from a broad range of applications. An outlook on how visualization techniques can be deeply integrated into the simulation process is given and future technical improvements such as a simplified hardware setup are outlined.
    Keywords: Virtual reality ; Visualization ; Computer graphics ; Data exploration ; Hydrological processes ; Geotechnics ; Seismic data ; OpenGeoSys ; VISLAB
    ISSN: 1866-6280
    E-ISSN: 1866-6299
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  • 6
    Language: English
    In: International Journal of Digital Earth, 03 October 2017, Vol.10(10), pp.1070-1076
    Description: In this opinion paper, we, a group of scientists from environmental-, geo-, ocean- and information science, argue visual data exploration should become a common analytics approach in Earth system science due to its potential for analysis and interpretation of large and complex spatio-temporal...
    Keywords: Digital Earth ; Geoinformatics ; Geospatial Data Integration ; Visualization ; Environmental Sciences
    ISSN: 1753-8947
    E-ISSN: 1753-8955
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  • 7
    Language: English
    Description: The analysis of heterogeneous, complex data sets has become important in many scientific domains. With the help of scientific visualization, researchers can be supported in exploring their research results. One domain, where researchers have to deal with spatio-temporal data from different sources including simulation, observation and time-independent data, is meteorology. In this thesis, a concept and workflow for the 3D visualization of meteorological data was developed in cooperation with domain experts. Three case studies have been conducted based on the developed concept. In addition, the concept has been enhanced based on the experiences gained from the case studies. In contrast to existing all-in-one software applications, the proposed workflow employs a combination of existing software applications and their extensions to make a variety of already implemented visualization algorithms available. The workflow provides methods for data integration and for abstraction of the data as well as for generating representations of the variables of interest. Solutions for visualizing sets of variables, comparing results of multiple simulation runs and results of simulations based on different models are presented. The concept includes the presentation of the visualization scenes in virtual reality environments for a more comprehensible display of multifaceted data. To enable the user to navigate within the scenes, some interaction functionality was provided to control time, camera, and display of objects. The proposed methods have been selected with respect to the requirements defined in cooperation with the domain experts and have been verified with user tests. The developed visualization methods are used to analyze and present recent research results as well as for educational purposes. As the proposed approach uses generally applicable concepts, it can also be applied for the analysis of scientific data from other disciplines. In nahezu allen Wissenschaftsdisziplinen steigt der Umfang erhobener Daten. Diese sind oftmals heterogen und besitzen eine komplexe Struktur, was ihre Analyse zu einer Herausforderung macht. Die wissenschaftliche Visualisierung bietet hier Möglichkeiten, Wissenschaftler bei der Untersuchung ihrer Forschungsergebnisse zu unterstützen. Eine der Disziplinen, in denen räumlich-zeitliche Daten aus verschiedenen Quellen inklusive Simulations- und Observationsdaten eine Rolle spielen, ist die Meteorologie. In dieser Arbeit wurde in Zusammenarbeit mit Experten der Meteorologie ein Konzept und ein Workflow für die 3D-Visualisierung meteorologischer Daten entwickelt. Dabei wurden drei Fallstudien erarbeitet, die zum einen auf dem erstellten Konzept beruhen und zum anderen durch die während der Fallstudie gesammelten Erfahrungen das Konzept erweiterten. Der Workflow besteht aus einer Kombination existierender Software sowie Erweiterungen dieser. Damit wurden Funktionen zur Verfügung gestellt, die bei anderen Lösungsansätzen in diesem Bereich, die oft nur eine geringere Anzahl an Funktionalität bieten, nicht zur Verfügung stehen. Der Workflow beinhaltet Methoden zur Datenintegration sowie für die Abstraktion und Darstellung der Daten. Es wurden Lösungen für die Visualisierung einer Vielzahl an Variablen sowie zur vergleichenden Darstellung verschiedener Simulationsläufe und Simulationen verschiedener Modelle präsentiert. Die generierten Visualisierungsszenen wurden mit Hilfe von 3D-Geräten, beispielsweise eine Virtual-Reality-Umgebung, dargestellt. Die stereoskopische Projektion bietet dabei die Möglichkeit, diese komplexen Daten mit verbessertem räumlichem Eindruck darzustellen. Um dem Nutzer eine umfassende Analyse der Daten zu ermöglichen, wurden eine Reihe von Funktionen zur Interaktion zur Verfügung gestellt, um beispielsweise Zeit, Kamera und die Anzeige von 3D-Objekten zu steuern. Das Konzept und der Workflow wurden entsprechend der Anforderungen entwickelt, die zusammen mit Fachexperten definiert wurden. Des Weiteren wurden die Anwendungen in verschiedenen Entwicklungsstadien durch Nutzer getestet und deren Feedback in die Entwicklung einbezogen. Die Ergebnisse der Fallstudien wurden von den Wissenschaftlern benutzt, um ihre Daten zu analysieren, sowie diese zu präsentieren und in der Lehre einzusetzen. Da der vorgeschlagene Workflow allgemein anwendbare Konzepte beinhaltet, kann dieser auch für die Analyse wissenschaftlicher Daten anderer Disziplinen verwendet werden.
    Keywords: Info:Eu-Repo/Classification/Ddc/520 ; Ddc:520 ; Visualization ; Scientific Visualization ; 3d ; Virtual Reality ; Meteorological Data ; Visualisierung ; Wissenschaftliche Visualisierung ; 3d ; Virtuelle Realität ; Meteorologische Data
    Source: Networked Digital Library of Theses and Dissertations
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  • 8
    Dissertation
    Dissertation
    Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden
    Language: English
    Description: The analysis of heterogeneous, complex data sets has become important in many scientific domains. With the help of scientific visualization, researchers can be supported in exploring their research results. One domain, where researchers have to deal with spatio-temporal data from different sources including simulation, observation and time-independent data, is meteorology. In this thesis, a concept and workflow for the 3D visualization of meteorological data was developed in cooperation with domain experts. Three case studies have been conducted based on the developed concept. In addition, the concept has been enhanced based on the experiences gained from the case studies. In contrast to existing all-in-one software applications, the proposed workflow employs a combination of existing software applications and their extensions to make a variety of already implemented visualization algorithms available. The workflow provides methods for data integration and for abstraction of the data as well as for generating representations of the variables of interest. Solutions for visualizing sets of variables, comparing results of multiple simulation runs and results of simulations based on different models are presented. The concept includes the presentation of the visualization scenes in virtual reality environments for a more comprehensible display of multifaceted data. To enable the user to navigate within the scenes, some interaction functionality was provided to control time, camera, and display of objects. The proposed methods have been selected with respect to the requirements defined in cooperation with the domain experts and have been verified with user tests. The developed visualization methods are used to analyze and present recent research results as well as for educational purposes. As the proposed approach uses generally applicable concepts, it can also be applied for the analysis of scientific data from other disciplines. In nahezu allen Wissenschaftsdisziplinen steigt der Umfang erhobener Daten. Diese sind oftmals heterogen und besitzen eine komplexe Struktur, was ihre Analyse zu einer Herausforderung macht. Die wissenschaftliche Visualisierung bietet hier Möglichkeiten, Wissenschaftler bei der Untersuchung ihrer Forschungsergebnisse zu unterstützen. Eine der Disziplinen, in denen räumlich-zeitliche Daten aus verschiedenen Quellen inklusive Simulations- und Observationsdaten eine Rolle spielen, ist die Meteorologie. In dieser Arbeit wurde in Zusammenarbeit mit Experten der Meteorologie ein Konzept und ein Workflow für die 3D-Visualisierung meteorologischer Daten entwickelt. Dabei wurden drei Fallstudien erarbeitet, die zum einen auf dem erstellten Konzept beruhen und zum anderen durch die während der Fallstudie gesammelten Erfahrungen das Konzept erweiterten. Der Workflow besteht aus einer Kombination existierender Software sowie Erweiterungen dieser. Damit wurden Funktionen zur Verfügung gestellt, die bei anderen Lösungsansätzen in diesem Bereich, die oft nur eine geringere Anzahl an Funktionalität bieten, nicht zur Verfügung stehen. Der Workflow beinhaltet Methoden zur Datenintegration sowie für die Abstraktion und Darstellung der Daten. Es wurden Lösungen für die Visualisierung einer Vielzahl an Variablen sowie zur vergleichenden Darstellung verschiedener Simulationsläufe und Simulationen verschiedener Modelle präsentiert. Die generierten Visualisierungsszenen wurden mit Hilfe von 3D-Geräten, beispielsweise eine Virtual-Reality-Umgebung, dargestellt. Die stereoskopische Projektion bietet dabei die Möglichkeit, diese komplexen Daten mit verbessertem räumlichem Eindruck darzustellen. Um dem Nutzer eine umfassende Analyse der Daten zu ermöglichen, wurden eine Reihe von Funktionen zur Interaktion zur Verfügung gestellt, um beispielsweise Zeit, Kamera und die Anzeige von 3D-Objekten zu steuern. Das Konzept und der Workflow wurden entsprechend der Anforderungen entwickelt, die zusammen mit Fachexperten definiert wurden. Des Weiteren wurden die Anwendungen in verschiedenen Entwicklungsstadien durch Nutzer getestet und deren Feedback in die Entwicklung einbezogen. Die Ergebnisse der Fallstudien wurden von den Wissenschaftlern benutzt, um ihre Daten zu analysieren, sowie diese zu präsentieren und in der Lehre einzusetzen. Da der vorgeschlagene Workflow allgemein anwendbare Konzepte beinhaltet, kann dieser auch für die Analyse wissenschaftlicher Daten anderer Disziplinen verwendet werden.
    Keywords: Visualization ; Scientific Visualization ; 3d ; Virtual Reality ; Meteorological Data ; Visualisierung ; Wissenschaftliche Visualisierung ; 3d ; Virtuelle Realität ; Meteorologische Data ; Ddc:520 ; Rvk:Ut 8000
    Source: Networked Digital Library of Theses and Dissertations
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  • 9
    Video
    Video
    Humboldt-Universität zu Berlin, Medien-Repositorium
    Language: German
    Description: German online tutorial about research data management in biology....
    Keywords: Reading And Use Of Other Information Media
    Source: DataCite
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  • 10
    Video
    Video
    Humboldt-Universität zu Berlin, Medien-Repositorium
    Language: German
    Description: German online tutorial about data management plans....
    Keywords: Reading And Use Of Other Information Media
    Source: DataCite
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