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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
    In: PLoS ONE, 2019, Vol.14(1)
    Description: In the Benguela upwelling system, the environmental conditions are determined to a large extent by central water masses advected from remote areas onto the shelf. The origin, spreading pathways and fate of those water masses are investigated with a regional ocean model that is analysed using Eulerian passive tracers and on the basis of Lagrangian trajectories. Two major water masses influencing the Benguela upwelling system are identified: tropical South Atlantic Central Water (SACW) and subtropical Eastern South Atlantic Central Water (ESACW). The spreading of tropical waters into the subtropical Benguela upwelling system is mediated by equatorial currents and their continuation in the Southeast Atlantic. This tropical-subtropical connection has been attributed to signal propagation in the equatorial and coastal waveguides. However, there exists an additional spreading path for tropical central water in the open ocean. This mass transport fluctuates on a seasonal scale around an averaged meridional transport in Sverdrup balance. The inter-annual variability of the advection of tropical waters is related to Benguela Niños, as evidenced by the 2010/2011 event. The northern Benguela upwelling system is a transition zone between SACW and ESACW since they encounter each other at about 20°S. Both water masses have seasonal variable shares in the upwelled water there. To summarise the main pathways of central water mass transport, an enhanced scheme for the subsurface circulation in the Southeast Atlantic is presented.
    Keywords: Research Article ; Earth Sciences ; Earth Sciences ; Physical Sciences ; Physical Sciences ; Earth Sciences ; Earth Sciences ; Physical Sciences ; Ecology And Environmental Sciences ; Earth Sciences ; Physical Sciences
    E-ISSN: 1932-6203
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  • 3
    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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  • 4
    Language: English
    In: IEEE transactions on visualization and computer graphics, 2008, Vol.14(6), pp.1459-66
    Description: The visualization and exploration of multivariate data is still a challenging task. Methods either try to visualize all variables simultaneously at each position using glyph-based approaches or use linked views for the interaction between attribute space and physical domain such as brushing of scatterplots. Most visualizations of the attribute space are either difficult to understand or suffer from visual clutter. We propose a transformation of the high-dimensional data in attribute space to 2D that results in a point cloud, called attribute cloud, such that points with similar multivariate attributes are located close to each other. The transformation is based on ideas from multivariate density estimation and manifold learning. The resulting attribute cloud is an easy to understand visualization of multivariate data in two dimensions. We explain several techniques to incorporate additional information into the attribute cloud, that help the user get a better understanding of multivariate data. Using different examples from fluid dynamics and climate simulation, we show how brushing can be used to explore the attribute cloud and find interesting structures in physical space.
    Keywords: Computing and Processing ; Bioengineering;
    ISSN: 1077-2626
    E-ISSN: 19410506
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  • 5
    Language: English
    Description: Climate simulations range from projections with global coupled models of the earth system down to simulations of small scale phenomena, and can cover time scales between seconds up to thousands of years. This work focusses on urban climate simulations and discusses best practices for the visualization and analysis of such data sets. For this task, only state-of-the-art visualization techniques are used, which are available in most visualization packages. The goals for these visualizations are investigative, as well as for communication and presentation purposes....
    Keywords: J.2 [Computer Applications] ; Earth And Atmospheric Sciences
    ISBN: 978-3-905674-54-5
    Source: DataCite
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  • 6
    Language: English
    In: ACM SIGGRAPH Computer Graphics, 01 November 2002, Vol.36(4), pp.5-9
    Keywords: Engineering
    ISSN: 0097-8930
    E-ISSN: 1558-4569
    Source: BIBSAM:2015-2018 (ACM Digital Library)
    Source: Jisc Collections:Digital Library:2017-2019 (ACM Digital Library)
    Source: ACM Digital Library (Association for Computing Machinery)
    Source: KESLI (ACM Digital Library)
    Source: SHEDL- 2014 (ACM Digital Library)
    Source: Indest-AICTE (ACM Digital Library)
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  • 7
    Language: English
    In: IEEE transactions on visualization and computer graphics, 2009, Vol.15(6), pp.1375-82
    Description: Due to its nonlinear nature, the climate system shows quite high natural variability on different time scales, including multiyear oscillations such as the El Niño Southern Oscillation phenomenon. Beside a shift of the mean states and of extreme values of climate variables, climate change may also change the frequency or the spatial patterns of these natural climate variations. Wavelet analysis is a well established tool to investigate variability in the frequency domain. However, due to the size and complexity of the analysis results, only few time series are commonly analyzed concurrently. In this paper we will explore different techniques to visually assist the user in the analysis of variability and variability changes to allow for a holistic analysis of a global climate model data set consisting of several variables and extending over 250 years. Our new framework and data from the IPCC AR4 simulations with the coupled climate model ECHAM5/MPI-OM are used to explore the temporal evolution of El Niño due to climate change.
    Keywords: Wavelet Analysis ; Data Visualization ; Ocean Temperature ; Frequency ; Sea Surface ; Time Series Analysis ; Data Analysis ; Fluctuations ; Environmental Factors ; Sea Level ; Wavelet Analysis ; Multivariate Data ; Time-Dependent Data ; Climate Variability Change Visualization ; El Nino ; Engineering;
    ISSN: 1077-2626
    E-ISSN: 19410506
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  • 8
    Language: English
    Description: Northern Hemisphere sea ice from a Finite-Element Sea-Ice Ocean Model (FESOM) 4.5 km resolution simulation carried out by researchers from Alfred Wegener Institute (AWI), Germany. Concentration is shown with color; thickness is shown with shading. A global 1 degree mesh is used, with the "Arctic Ocean" locally refined to 4.5 km. South of CAA and Fram Strait the resolution is not refined in this simulation. The animation indicates that the 4.5 km model resolution helps to represent the small scale sea ice features, although much higher resolution is required to fully resolve the ice leads.The animation is created by Michael Böttinger from DKRZ (https://www.dkrz.de)....
    Keywords: Date/Time ; File Content ; File Format ; File Size ; Uniform Resource Locator/Link To File
    Source: DataCite
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  • 9
    In: Journal of Advances in Modeling Earth Systems, July 2013, Vol.5(3), pp.572-597
    Description: The new Max‐Planck‐Institute Earth System Model (MPI‐ESM) is used in the Coupled Model Intercomparison Project phase 5 (CMIP5) in a series of climate change experiments for either idealized CO‐only forcing or forcings based on observations and the Representative Concentration Pathway (RCP) scenarios. The paper gives an overview of the model configurations, experiments related forcings, and initialization procedures and presents results for the simulated changes in climate and carbon cycle. It is found that the climate feedback depends on the global warming and possibly the forcing history. The global warming from climatological 1850 conditions to 2080–2100 ranges from 1.5°C under the RCP2.6 scenario to 4.4°C under the RCP8.5 scenario. Over this range, the patterns of temperature and precipitation change are nearly independent of the global warming. The model shows a tendency to reduce the ocean heat uptake efficiency toward a warmer climate, and hence acceleration in warming in the later years. The precipitation sensitivity can be as high as 2.5% K if the CO concentration is constant, or as small as 1.6% K, if the CO concentration is increasing. The oceanic uptake of anthropogenic carbon increases over time in all scenarios, being smallest in the experiment forced by RCP2.6 and largest in that for RCP8.5. The land also serves as a net carbon sink in all scenarios, predominantly in boreal regions. The strong tropical carbon sources found in the RCP2.6 and RCP8.5 experiments are almost absent in the RCP4.5 experiment, which can be explained by reforestation in the RCP4.5 scenario. The climate feedback in MPI‐ESM is non‐linear and depends on the forcing history Ocean heat uptake is reduced in a warmer climate. Patterns of temperature and precipitation changes are robust for RCP26/45/85.
    Keywords: Climate ; Climate Change ; Carbon Cycle ; Cmip5 ; Mpi‐Esm
    ISSN: 1942-2466
    E-ISSN: 1942-2466
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  • 10
    Book
    Book
    Bonn: Bundesministerium für Bildung und Forschung, Referat Öffentlichkeitsarbeit
    Language: German
    Keywords: Klimaänderung ; Klimawandel ; Klimaschutz ; Welt ; Deutschland
    Source: Deutsche Zentralbibliothek für Wirtschaftswissenschaften
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