The Experts below are selected from a list of 285 Experts worldwide ranked by ideXlab platform
Sara Reardon - One of the best experts on this subject based on the ideXlab platform.
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Trump science adviser calls for more collaboration between industry and government
Nature, 2019Co-Authors: Sara ReardonAbstract:Meteorologist Kelvin Droegemeier emphasized the importance of private science funding in his first public speech since taking office. Meteorologist Kelvin Droegemeier emphasized the importance of private science funding in his first public speech since taking office.
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Trump science-adviser pick breezes through Senate committee vote
Nature, 2018Co-Authors: Sara ReardonAbstract:Meteorologist Kelvin Droegemeier awaits final vote on his nomination to lead White House science office. Meteorologist Kelvin Droegemeier awaits final vote on his nomination to lead White House science office.
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Trump’s science-adviser pick hedges on climate change
Nature, 2018Co-Authors: Sara ReardonAbstract:But during his nomination hearing, extreme-weather scientist Kelvin Droegemeier waffled on his views about climate change. Meteorologist Kelvin Droegemeier offered few clues to his views on the topic when grilled at a US Senate hearing.
Yuyan Song - One of the best experts on this subject based on the ideXlab platform.
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An atmospheric visual analysis and exploration system
IEEE Transactions on Visualization and Computer Graphics, 2006Co-Authors: Yuyan Song, Nikolai Svakhine, Sonia Lasher-trapp, Mike Baldwin, Jing Ye, David S. EbertAbstract:Meteorological research involves the analysis of multi-field, multi-scale, and multi-source data sets. In order to better understand these data sets, models and measurements at different resolutions must be analyzed. Unfortunately, traditional atmospheric visualization systems only provide tools to view a limited number of variables and small segments of the data. These tools are often restricted to two-dimensional contour or vector plots or three-dimensional isosurfaces. The Meteorologist must mentally synthesize the data from multiple plots to glean the information needed to produce a coherent picture of the weather phenomenon of interest. In order to provide better tools to Meteorologists and reduce system limitations, we have designed an integrated atmospheric visual analysis and exploration system for interactive analysis of weather data sets. Our system allows for the integrated visualization of 1D, 2D, and 3D atmospheric data sets in common meteorological grid structures and utilizes a variety of rendering techniques. These tools provide Meteorologists with new abilities to analyze their data and answer questions on regions of interest, ranging from physics-based atmospheric rendering to illustrative rendering containing particles and glyphs. In this paper, we will discuss the use and performance of our visual analysis for two important meteorological applications. The first application is warm rain formation in small cumulus clouds. Here, our three-dimensional, interactive visualization of modeled drop trajectories within spatially correlated fields from a cloud simulation has provided researchers with new insight. Our second application is improving and validating severe storm models, specifically the Weather Research and Forecasting (WRF) model. This is done through correlative visualization of WRF model and experimental Doppler storm data.
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An Atmospheric Visual Analysis and Exploration System
IEEE Transactions on Visualization and Computer Graphics, 2006Co-Authors: Yuyan Song, Nikolai Svakhine, Sonia Lasher-trapp, Mike Baldwin, Jing Ye, David EbertAbstract:Meteorological research involves the analysis of multi-field, multi-scale, and multi-source data sets. Unfortunately, traditional atmospheric visualization systems only provide tools to view a limited number of variables and small segments of the data. These tools are often restricted to 2D contour or vector plots or 3D isosurfaces. The Meteorologist must mentally synthesize the data from multiple plots to glean the information needed to produce a coherent picture of the weather phenomenon of interest. In order to provide better tools to Meteorologists and reduce system limitations, we have designed an integrated atmospheric visual analysis and exploration system for interactive analysis of weather data sets. Our system allows for the integrated visualization of 1D, 2D, and 3D atmospheric data sets in common meteorological grid structures and utilizes a variety of rendering techniques. These tools provide Meteorologists with new abilities to analyze their data and answer questions on regions of interest, ranging from physics-based atmospheric rendering to illustrative rendering containing particles and glyphs. In this paper, we discuss the use and performance of our visual analysis for two important meteorological applications. The first application is warm rain formation in small cumulus clouds. In this, our three-dimensional, interactive visualization of modeled drop trajectories within spatially correlated fields from a cloud simulation has provided researchers with new insight. Our second application is improving and validating severe storm models, specifically the weather research and forecasting (WRF) model. This is done through correlative visualization of WRF model and experimental Doppler storm data
Cbm Brad Sowder - One of the best experts on this subject based on the ideXlab platform.
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social media ethics for the Meteorologist
Bulletin of the American Meteorological Society, 2020Co-Authors: Ccm Gerald J Mulvey, K Deleon, Cbm Brad SowderAbstract:CapsuleThis is the seventh in a series of articles encouraged by the BCCM, exploring ethical issues associated with planning for, identification, and response to social media comments.
David Ebert - One of the best experts on this subject based on the ideXlab platform.
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An Atmospheric Visual Analysis and Exploration System
IEEE Transactions on Visualization and Computer Graphics, 2006Co-Authors: Yuyan Song, Nikolai Svakhine, Sonia Lasher-trapp, Mike Baldwin, Jing Ye, David EbertAbstract:Meteorological research involves the analysis of multi-field, multi-scale, and multi-source data sets. Unfortunately, traditional atmospheric visualization systems only provide tools to view a limited number of variables and small segments of the data. These tools are often restricted to 2D contour or vector plots or 3D isosurfaces. The Meteorologist must mentally synthesize the data from multiple plots to glean the information needed to produce a coherent picture of the weather phenomenon of interest. In order to provide better tools to Meteorologists and reduce system limitations, we have designed an integrated atmospheric visual analysis and exploration system for interactive analysis of weather data sets. Our system allows for the integrated visualization of 1D, 2D, and 3D atmospheric data sets in common meteorological grid structures and utilizes a variety of rendering techniques. These tools provide Meteorologists with new abilities to analyze their data and answer questions on regions of interest, ranging from physics-based atmospheric rendering to illustrative rendering containing particles and glyphs. In this paper, we discuss the use and performance of our visual analysis for two important meteorological applications. The first application is warm rain formation in small cumulus clouds. In this, our three-dimensional, interactive visualization of modeled drop trajectories within spatially correlated fields from a cloud simulation has provided researchers with new insight. Our second application is improving and validating severe storm models, specifically the weather research and forecasting (WRF) model. This is done through correlative visualization of WRF model and experimental Doppler storm data
David S. Ebert - One of the best experts on this subject based on the ideXlab platform.
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An atmospheric visual analysis and exploration system
IEEE Transactions on Visualization and Computer Graphics, 2006Co-Authors: Yuyan Song, Nikolai Svakhine, Sonia Lasher-trapp, Mike Baldwin, Jing Ye, David S. EbertAbstract:Meteorological research involves the analysis of multi-field, multi-scale, and multi-source data sets. In order to better understand these data sets, models and measurements at different resolutions must be analyzed. Unfortunately, traditional atmospheric visualization systems only provide tools to view a limited number of variables and small segments of the data. These tools are often restricted to two-dimensional contour or vector plots or three-dimensional isosurfaces. The Meteorologist must mentally synthesize the data from multiple plots to glean the information needed to produce a coherent picture of the weather phenomenon of interest. In order to provide better tools to Meteorologists and reduce system limitations, we have designed an integrated atmospheric visual analysis and exploration system for interactive analysis of weather data sets. Our system allows for the integrated visualization of 1D, 2D, and 3D atmospheric data sets in common meteorological grid structures and utilizes a variety of rendering techniques. These tools provide Meteorologists with new abilities to analyze their data and answer questions on regions of interest, ranging from physics-based atmospheric rendering to illustrative rendering containing particles and glyphs. In this paper, we will discuss the use and performance of our visual analysis for two important meteorological applications. The first application is warm rain formation in small cumulus clouds. Here, our three-dimensional, interactive visualization of modeled drop trajectories within spatially correlated fields from a cloud simulation has provided researchers with new insight. Our second application is improving and validating severe storm models, specifically the Weather Research and Forecasting (WRF) model. This is done through correlative visualization of WRF model and experimental Doppler storm data.