Add meteovis entries

data/papers.json

@@ -1,5 +1,131 @@
 [
   {
+    "bibname": "Meyers2020Exploring",
+    "url": "https://ams.confex.com/ams/2020Annual/meetingapp.cgi/Paper/365033",
+    "title": "Exploring Satellite Observations in Virtual Reality",
+    "bib": "",
+    "author": "Patrick C. Meyers and Mason Quick and David Li and Eric Lee and S. D. Rudlosky and Barbara Brawn-Cinani and Amitabh Varshney",
+    "type": "inproceedings",
+    "booktitle": "100th American Meteorological Society Annual Meeting",
+    "attr": "",
+    "pages": "1",
+    "year": "2020",
+    "month": "January",
+    "day": "11",
+    "series": "",
+    "book_title_short": "",
+    "editor": "",
+    "isbn": "",
+    "numpages": 1,
+    "doi": "",
+    "publisher": "AMS",
+    "address": "",
+    "location": "Boston, MA",
+    "keywords": "scientific visualization, virtual reality, meteorological data, immersion, interactive visualization, vector field",
+    "note": "",
+    "citations": "",
+    "published": true,
+    "visible": true,
+    "poster": "",
+    "video": "https://ams.confex.com/ams/2020Annual/videogateway.cgi/id/518109?recordingid=518109",
+    "youtube": "",
+    "vimeo": "",
+    "web": "",
+    "low": "",
+    "code": "",
+    "slides": "",
+    "slides2": "",
+    "talk": "",
+    "award": "",
+    "abstract": "To produce skillful and timely forecasts, weather forecasters must have the proper tools to display and interpret an ever increasing variety and quantity of data. Data products range from point location measurements at surface stations, to vertically resolved profiles of the atmospheric state derived from satellite observations and numerical weather prediction models. Current methods to interrogate datasets require forecasters to efficiently switch between multi-monitor displays, often with multiple panes on each monitor. Virtual reality offers an alternative approach so that users can visualize data while maintaining the full 3-dimensional context of the observations. To demonstrate the utility of VR as a forecasting tool, we have developed the capability to display and analyze a variety of weather datasets in an immersive VR demonstration. Our selection of datasets includes satellite observations of radiance, cloud height, and wind speed from the NOAA Geostationary Operational Environmental Satellite (GOES), and experimental atmospheric profile products from JPSS and other low-earth orbit satellites. This presentation will give an overview of the capability of the demonstration by focusing on an Atmospheric River event that caused intense flooding and snow storms along the western coast of North America during February 2019.",
+    "image": "Meyers2020Exploring.png",
+    "supple": "",
+    "categories": ""
+  }, {
+    "bibname": "Meyers2020Examining",
+    "url": "https://ams.confex.com/ams/2020Annual/meetingapp.cgi/Paper/365076",
+    "title": "Examining an Atmospheric River in Virtual Reality",
+    "bib": "",
+    "author": "Patrick C. Meyers and Mason Quick and Eric Lee and David Li and Katherine E. Lukens and S. Kusselson and S. D. Rudlosky and Barbara Brawn-Cinani and Amitabh Varshney",
+    "type": "inproceedings",
+    "booktitle": "100th American Meteorological Society Annual Meeting",
+    "attr": "",
+    "pages": "1",
+    "year": "2020",
+    "month": "January",
+    "day": "11",
+    "series": "",
+    "book_title_short": "",
+    "editor": "",
+    "isbn": "",
+    "numpages": 1,
+    "doi": "",
+    "publisher": "AMS",
+    "address": "",
+    "location": "Boston, MA",
+    "keywords": "scientific visualization, virtual reality, meteorological data, immersion, interactive visualization, vector field",
+    "note": "",
+    "citations": "",
+    "published": true,
+    "visible": true,
+    "poster": "",
+    "video": "https://ams.confex.com/ams/2020Annual/videogateway.cgi/id/517489?recordingid=517489",
+    "youtube": "",
+    "vimeo": "",
+    "web": "",
+    "low": "",
+    "code": "",
+    "slides": "",
+    "slides2": "",
+    "talk": "",
+    "award": "",
+    "abstract": "Virtual and augmented reality tools are becoming more prevalent as the technology continues to mature. A three-dimensional immersive view of atmospheric phenomena facilitates the investigation of spatial relationships of the atmospheric state. Satellite observations from GOES-R and JPSS were ingested into an interactive demonstration that explores an atmospheric river event from February 2019. Record-breaking rains soaked southern California, spawning mudslides near San Francisco. Our selection of datasets includes satellite observations of radiance, cloud height, and wind speed from GOES-17, and atmospheric profile products (i.e. Advected Layered Precipitable Water and NUCAPS) from JPSS and other low-earth orbit satellites. Handheld controls allow users to interrogate the data with many functionalities that are similar to the traditional AWIPS forecasting software. Forecasters can view model guidance and satellite products, loop products over time, query data values at a point, and open skew-T plots from NUCAPS. Visualizing the moisture plume in three-dimensions enables forecasters to see environmental conditions surrounding the atmospheric river, potentially improving their forecasting capabilities.",
+    "image": "Meyers2020Examining.png",
+    "supple": "",
+    "categories": ""
+  }, {
+    "bibname": "Li2020Meteovis",
+    "url": "Du_Geollery_AMixedRealitySocialMediaPlatform_CHI_2019.pdf",
+    "title": "MeteoVis: Visualizing Meteorological Events in Virtual Reality",
+    "bib": "",
+    "author": "David Li and Eric Lee and Elijah Schwelling and Mason G. Quick and Patrick Meyers and Ruofei Du and Amitabh Varshney",
+    "type": "inproceedings",
+    "booktitle": "Extended Abstracts of the 2020 CHI Conference on Human Factors in Computing Systems",
+    "attr": "",
+    "pages": "1--9",
+    "year": "2020",
+    "month": "April",
+    "day": "25",
+    "series": "CHI",
+    "book_title_short": "CHI EA 2020",
+    "editor": "",
+    "isbn": "",
+    "numpages": 9,
+    "doi": "10.1145/3334480.3382921",
+    "publisher": "ACM",
+    "address": "",
+    "location": "Honolulu, HI",
+    "keywords": "scientific visualization, virtual reality, meteorological data, immersion, interactive visualization, vector field",
+    "note": "",
+    "citations": "",
+    "published": true,
+    "visible": true,
+    "poster": "https://davidl.me/resources/posters/MeteoVis_Poster.pdf",
+    "video": "https://youtu.be/pdkXhkTtimY",
+    "youtube": "https://youtu.be/pdkXhkTtimY",
+    "vimeo": "",
+    "web": "",
+    "low": "",
+    "code": "",
+    "slides": "",
+    "slides2": "",
+    "talk": "",
+    "award": "",
+    "abstract": "Modern meteorologists in the National Oceanic and Atmospheric Administration (NOAA) use the Advanced Weather Interactive Processing System (AWIPS) to visualize weather data. However, AWIPS presents critical challenges when comparing data from multiple satellites for weather analysis. To address its limitations, we iteratively design with Earth Science experts and developed MeteoVis, an interactive system to visualize spatio-temporal atmospheric weather data from multiple sources simultaneously in an immersive 3D environment. In a preliminary case study, MeteoVis enables forecasters to easily identify the Atmospheric River event that caused intense flooding and snow storms along the western coast of North America during February 2019. We envision that MeteoVis will inspire future development of atmospheric visualization and analysis of the causative factors behind atmospheric processes improving weather forecast accuracy. A demo video of MeteoVis is available at https://youtu.be/pdkXhkTtimY",
+    "image": "Li2020MeteoVis.jpg",
+    "supple": "",
+    "categories": ""
+  },{
     "bibname": "Du2019Geollery",
     "url": "Du_Geollery_AMixedRealitySocialMediaPlatform_CHI_2019.pdf",
     "title": "Geollery: A Mixed Reality Social Media Platform",

data/papers.txt

@@ -1,5 +1,11 @@
 [comment]: <> (This markdown file is generated from papers.json by build.py)
 <div class="row pub">
+<div class="3u 12u$(medium)"><span class="image fit"><a href="https://ams.confex.com/ams/2020Annual/meetingapp.cgi/Paper/365033" target="_blank"><img src="teaser/Meyers2020Exploring.png" class="pub-pic" alt="Exploring Satellite Observations in Virtual Reality" /></a></span></div><div class="9u 12u$(medium) pub-info"><h4><a href="https://ams.confex.com/ams/2020Annual/meetingapp.cgi/Paper/365033" target="_blank">Exploring Satellite Observations in Virtual Reality</a></h4><p class="authors">Patrick C. Meyers, Mason Quick, <a href="https://www.linkedin.com/in/david-li-23b812149">David Li</a>, <a href="https://www.linkedin.com/in/eric-lee-6a598156/">Eric Lee</a>, S. D. Rudlosky, <a href="http://mbrc.umd.edu/people/bbcinani">Barbara Brawn-Cinani</a>, and <a href="http://www.cs.umd.edu/~varshney">Amitabh Varshney</a></p><p class="booktitle">100th American Meteorological Society Annual Meeting, 2020.</p><p class="keywords">keywords: scientific visualization, virtual reality, meteorological data, immersion, interactive visualization, vector field<br/><br/></p><br/><br/><div class="downloads">Paper: <a href="https://ams.confex.com/ams/2020Annual/meetingapp.cgi/Paper/365033" target="_blank">[pdf]</a> |  <a href="https://ams.confex.com/ams/2020Annual/videogateway.cgi/id/518109?recordingid=518109" target="_blank">[video]</a> <a href="bib/Meyers2020Exploring.abstract" class="bibtex">[abstract]</a>  | Cite: <a href="bib/Meyers2020Exploring.bib" class="bibtex">[BibTeX]</a> <a href="bib/Meyers2020Exploring.apa" class="bibtex">[APA]</a></div></p></div></div>
+<div class="row pub">
+<div class="3u 12u$(medium)"><span class="image fit"><a href="https://ams.confex.com/ams/2020Annual/meetingapp.cgi/Paper/365076" target="_blank"><img src="teaser/Meyers2020Examining.png" class="pub-pic" alt="Examining an Atmospheric River in Virtual Reality" /></a></span></div><div class="9u 12u$(medium) pub-info"><h4><a href="https://ams.confex.com/ams/2020Annual/meetingapp.cgi/Paper/365076" target="_blank">Examining an Atmospheric River in Virtual Reality</a></h4><p class="authors">Patrick C. Meyers, Mason Quick, <a href="https://www.linkedin.com/in/eric-lee-6a598156/">Eric Lee</a>, <a href="https://www.linkedin.com/in/david-li-23b812149">David Li</a>, Katherine E. Lukens, S. Kusselson, S. D. Rudlosky, <a href="http://mbrc.umd.edu/people/bbcinani">Barbara Brawn-Cinani</a>, and <a href="http://www.cs.umd.edu/~varshney">Amitabh Varshney</a></p><p class="booktitle">100th American Meteorological Society Annual Meeting, 2020.</p><p class="keywords">keywords: scientific visualization, virtual reality, meteorological data, immersion, interactive visualization, vector field<br/><br/></p><br/><br/><div class="downloads">Paper: <a href="https://ams.confex.com/ams/2020Annual/meetingapp.cgi/Paper/365076" target="_blank">[pdf]</a> |  <a href="https://ams.confex.com/ams/2020Annual/videogateway.cgi/id/517489?recordingid=517489" target="_blank">[video]</a> <a href="bib/Meyers2020Examining.abstract" class="bibtex">[abstract]</a>  | Cite: <a href="bib/Meyers2020Examining.bib" class="bibtex">[BibTeX]</a> <a href="bib/Meyers2020Examining.apa" class="bibtex">[APA]</a></div></p></div></div>
+<div class="row pub">
+<div class="3u 12u$(medium)"><span class="image fit"><a href="papers/Du_Geollery_AMixedRealitySocialMediaPlatform_CHI_2019.pdf" target="_blank"><img src="teaser/Li2020MeteoVis.jpg" class="pub-pic" alt="MeteoVis: Visualizing Meteorological Events in Virtual Reality" /></a></span></div><div class="9u 12u$(medium) pub-info"><h4><a href="papers/Du_Geollery_AMixedRealitySocialMediaPlatform_CHI_2019.pdf" target="_blank">MeteoVis: Visualizing Meteorological Events in Virtual Reality</a></h4><p class="authors"><a href="https://www.linkedin.com/in/david-li-23b812149">David Li</a>, <a href="https://www.linkedin.com/in/eric-lee-6a598156/">Eric Lee</a>, Elijah Schwelling, Mason G. Quick, Patrick Meyers, <a href="http://www.duruofei.com">Ruofei Du</a>, and <a href="http://www.cs.umd.edu/~varshney">Amitabh Varshney</a></p><p class="booktitle">Extended Abstracts of the 2020 CHI Conference on Human Factors in Computing Systems. pp. 1-9, 2020.</p><p class="keywords">keywords: scientific visualization, virtual reality, meteorological data, immersion, interactive visualization, vector field<br/><br/></p><br/><br/><div class="downloads">Paper: <a href="papers/Du_Geollery_AMixedRealitySocialMediaPlatform_CHI_2019.pdf" target="_blank">[pdf]</a> <a href="https://doi.org/10.1145/3334480.3382921" target="_blank">[doi]</a> |  <a href="https://youtu.be/pdkXhkTtimY" target="_blank">[video]</a> <a href="https://youtu.be/pdkXhkTtimY" target="_blank">[youtube]</a> <a href="bib/Li2020Meteovis.abstract" class="bibtex">[abstract]</a>  <a href="https://davidl.me/resources/posters/MeteoVis_Poster.pdf" target="_blank">[poster]</a> | Cite: <a href="bib/Li2020Meteovis.bib" class="bibtex">[BibTeX]</a> <a href="bib/Li2020Meteovis.apa" class="bibtex">[APA]</a></div></p></div></div>
+<div class="row pub">
 <div class="3u 12u$(medium)"><span class="image fit"><a href="papers/Du_Geollery_AMixedRealitySocialMediaPlatform_CHI_2019.pdf" target="_blank"><img src="teaser/Du2019Geollery.jpg" class="pub-pic" alt="Geollery: A Mixed Reality Social Media Platform" /></a></span></div><div class="9u 12u$(medium) pub-info"><h4><a href="papers/Du_Geollery_AMixedRealitySocialMediaPlatform_CHI_2019.pdf" target="_blank">Geollery: A Mixed Reality Social Media Platform</a></h4><p class="authors"><a href="http://www.duruofei.com">Ruofei Du</a>, <a href="https://www.linkedin.com/in/david-li-23b812149">David Li</a>, and <a href="http://www.cs.umd.edu/~varshney">Amitabh Varshney</a></p><p class="booktitle">Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems (CHI). pp. 1-13, 2019.</p><p class="keywords">keywords: virtual reality, augmented reality, social media, GIS, street view, visualization, 3D user interface, 3D reconstruction<br/><br/></p><br/><br/><div class="downloads">Paper: <a href="papers/Du_Geollery_AMixedRealitySocialMediaPlatform_CHI_2019.pdf" target="_blank">[pdf]</a> <a href="https://doi.org/10.1145/3290605.3300915" target="_blank">[doi]</a> |  <a href="http://geollery.com" target="_blank">[website]</a> <a href="https://youtu.be/VKRAv3vDjv4" target="_blank">[video]</a> <a href="https://youtu.be/VKRAv3vDjv4" target="_blank">[youtube]</a> <a href="bib/Du2019Geollery.abstract" class="bibtex">[abstract]</a>  <a href="https://docs.google.com/presentation/d/16GncC_0TwstSyuVu4bKdYavYdEcfbveST94KylIV-DU/edit?usp=sharing" target="_blank">[slides]</a> <a href="http://duruofei.com/posters/Du2019Geollery.pdf" target="_blank">[poster]</a> | Cite: <a href="bib/Du2019Geollery.bib" class="bibtex">[BibTeX]</a> <a href="bib/Du2019Geollery.apa" class="bibtex">[APA]</a></div></p></div></div>
 <div class="row pub">
 <div class="3u 12u$(medium)"><span class="image fit"><a href="http://duruofei.com/papers/Du_ProjectGeollerycom-ReconstructingALiveMirroredWorldWithGeotaggedSocialMedia_Web3D2019.pdf" target="_blank"><img src="teaser/Du2019Project.jpg" class="pub-pic" alt="Project Geollery.com: Reconstructing a Live Mirrored World With Geotagged Social Media" /></a></span></div><div class="9u 12u$(medium) pub-info"><h4><a href="http://duruofei.com/papers/Du_ProjectGeollerycom-ReconstructingALiveMirroredWorldWithGeotaggedSocialMedia_Web3D2019.pdf" target="_blank">Project Geollery.com: Reconstructing a Live Mirrored World With Geotagged Social Media</a></h4><p class="authors"><a href="http://www.duruofei.com">Ruofei Du</a>, <a href="https://www.linkedin.com/in/david-li-23b812149">David Li</a>, and <a href="http://www.cs.umd.edu/~varshney">Amitabh Varshney</a></p><p class="booktitle">Proceedings of the 24th International Conference on Web3D Technology. pp. 1-9, 2019.</p><p class="keywords">keywords: virtual reality, augmented reality, social media, GIS, street view, visualization, 3D user interface, 3D reconstruction<br/><br/></p><br/><br/><div class="downloads">Paper: <a href="http://duruofei.com/papers/Du_ProjectGeollerycom-ReconstructingALiveMirroredWorldWithGeotaggedSocialMedia_Web3D2019.pdf" target="_blank">[pdf]</a> <a href="https://doi.org/10.1145/3329714.3338126" target="_blank">[doi]</a> <a href="papers/http://duruofei.com/papers/Du_ProjectGeollerycom-ReconstructingALiveMirroredWorldWithGeotaggedSocialMedia_Web3D2019_lowres.pdf" target="_blank">[lores]</a> |  <a href="http://geollery.com" target="_blank">[website]</a> <a href="bib/Du2019Project.abstract" class="bibtex">[abstract]</a>  | Cite: <a href="bib/Du2019Project.bib" class="bibtex">[BibTeX]</a> <a href="bib/Du2019Project.apa" class="bibtex">[APA]</a></div></p></div></div>