diff --git a/index.xml b/index.xml index c83c171..2b352e3 100644 --- a/index.xml +++ b/index.xml @@ -1,4 +1,4 @@ -VAST | Visualization and Analysis Software and Technologyhttps://vast.ucar.edu/Recent content on VAST | Visualization and Analysis Software and TechnologyHugo -- gohugo.ioen-usFri, 28 Jul 2023 10:44:38 -0600VAPOR takes home Best Visualization award at PEARC23https://vast.ucar.edu/news/20230728-pearc23_best_overall_visualization_award/Fri, 28 Jul 2023 10:44:38 -0600https://vast.ucar.edu/news/20230728-pearc23_best_overall_visualization_award/Watch the visualization here +VAST | Visualization and Analysis Software and Technologyhttps://vast.ucar.edu/Recent content on VAST | Visualization and Analysis Software and TechnologyHugo -- gohugo.ioen-usFri, 11 Aug 2023 11:57:59 -0600Wildfire Visualizationhttps://vast.ucar.edu/projects/wildfire-visualization/Fri, 11 Aug 2023 11:57:59 -0600https://vast.ucar.edu/projects/wildfire-visualization/Term: 2021 - 2023 Funding source: NSF Partners: NCAR, Northern Arizona University Website: VAPOR VAPOR has been used for years to help communicate new findings in wildfire simulations from codes like WRF-Fire and CAWFE, through 3D visualization.VAPOR takes home Best Visualization award at PEARC23https://vast.ucar.edu/news/20230728-pearc23_best_overall_visualization_award/Fri, 28 Jul 2023 10:44:38 -0600https://vast.ucar.edu/news/20230728-pearc23_best_overall_visualization_award/Watch the visualization here Recent visualization work at NCAR’s Research Applications Laboratory (RAL) and Computational & Information Systems Laboratory (CISL) has been awarded the Best Overall Visualization award at this year’s PEARC23.Project Pythia Cookbook Cook-Offhttps://vast.ucar.edu/news/20230628-projectpythia-cookoff/Wed, 28 Jun 2023 10:51:44 -0600https://vast.ucar.edu/news/20230628-projectpythia-cookoff/One year from when Project Pythia first introduced Cookbooks, NCAR hosted Project Pythia’s first “Cookbook Cook-Off” hackathon. Pythia Cookbooks provide example end-to-end geoscientific workflows and are an important tool towards reproducible science efforts.GeoCAT and Project Raijin at the ESDS Unstructured Grids Collaborative Workhttps://vast.ucar.edu/news/20230525-esds_unstructured_collab/Thu, 25 May 2023 09:03:23 -0600https://vast.ucar.edu/news/20230525-esds_unstructured_collab/“Working With Unstructured Grids” was the topic of the first Collaborative Work Time event of NCAR’s Earth Systems Data Science Initiative (ESDS) on April 17, 2023.VAST staff presents the latest research in lossy data compression at IPDPShttps://vast.ucar.edu/news/20230518-sperr-presentation/Thu, 18 May 2023 00:00:00 +0000https://vast.ucar.edu/news/20230518-sperr-presentation/VAST project scientist Samuel Li presented his latest research on lossy data compression at the 37th IEEE International Parallel & Distributed Processing Symposium, or IPDPS, in St.High resolution ocean eddies in MOM6https://vast.ucar.edu/news/20230105-neverworld/Thu, 05 Jan 2023 09:03:23 -0600https://vast.ucar.edu/news/20230105-neverworld/NEVERWORLD2 is a set of four idealized ocean simulations designed to study mesoscale eddies. These simulations were performed with horizontal grid spacings of 1/4°, 1/8°, 1/16°, and 1/32°.Hosted A (Re)Introduction to Earth System Data Science (ESDS) Across NCAR/UCAR/UCPhttps://vast.ucar.edu/news/20221130-esds_event/Wed, 30 Nov 2022 09:03:23 -0600https://vast.ucar.edu/news/20221130-esds_event/NCAR’s Earth System Data Science (ESDS) hosted A (Re)Introduction to Earth System Data Science (ESDS) Across NCAR/UCAR/UCP on November 10th and 11th. This event has been a great implementation of hybrid tutorials, discussion forums, and hackathons in NCAR’s Mesa Lab Main Seminar Room and over Google Meet.GeoCAT tutorialshttps://vast.ucar.edu/news/20221129-geocat_tutorials/Tue, 29 Nov 2022 09:03:23 -0600https://vast.ucar.edu/news/20221129-geocat_tutorials/The GeoCAT team has launched “GeoCAT Tutorials” to provide its community with guided teaching as well as self-taught content. The tutorial materials can be accessed via GitHub repository; by cloning and setting up a local configuration as described in the repository home, or through Binder environment right away online!Visualizing wildfire data using VAPORhttps://vast.ucar.edu/news/20221030-wildfire_vapor_visualization/Fri, 30 Sep 2022 10:58:23 -0600https://vast.ucar.edu/news/20221030-wildfire_vapor_visualization/On October 14, 2020, the East Troublesome Wildfire ignited. It burnt 193,812 acres over the course of 48 days. Between October 20-23 the wildfire rapidly intensified, exploding from 18,550 acres to 187,964 acres in size.Earth System Data Sciencehttps://vast.ucar.edu/projects/esds/Thu, 25 Aug 2022 11:44:13 -0600https://vast.ucar.edu/projects/esds/Term: 2020 - 2023 Website: https://ncar.github.io/esds/ NCAR’s Earth System Data Science (ESDS) initiative aims to build a community of technical support for geoscientists by addressing common big data challenges.Project Pythia Hackathon Introduces Cookbookshttps://vast.ucar.edu/news/20220801-projectpythia-hackathon/Mon, 01 Aug 2022 10:51:44 -0600https://vast.ucar.edu/news/20220801-projectpythia-hackathon/Project Pythia expanded its Scientific Python Ecosystem educational content during a successful hackathon with the introduction of Cookbooks. diff --git a/projects/esds/index.html b/projects/esds/index.html index 184ae45..0a009d1 100644 --- a/projects/esds/index.html +++ b/projects/esds/index.html @@ -86,6 +86,14 @@
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 diff --git a/projects/index.xml b/projects/index.xml index 89d72b4..eac36e6 100644 --- a/projects/index.xml +++ b/projects/index.xml @@ -1 +1 @@ -VAST Research & Development on VAST | Visualization and Analysis Software and Technologyhttps://vast.ucar.edu/projects/Recent content in VAST Research & Development on VAST | Visualization and Analysis Software and TechnologyHugo -- gohugo.ioen-usMon, 23 Dec 2019 16:48:28 +0600Earth System Data Sciencehttps://vast.ucar.edu/projects/esds/Thu, 25 Aug 2022 11:44:13 -0600https://vast.ucar.edu/projects/esds/Term: 2020 - 2023 Website: https://ncar.github.io/esds/ NCAR’s Earth System Data Science (ESDS) initiative aims to build a community of technical support for geoscientists by addressing common big data challenges.Project Raijinhttps://vast.ucar.edu/projects/raijin/Fri, 24 Jun 2022 11:57:54 -0600https://vast.ucar.edu/projects/raijin/Term: 2021 - 2024 Funding source: NSF Partners: NCAR/CGD, Penn State University, Colorado State University, Max-Planck-Institut für Meteorologie Website: https://raijin.ucar.edu/ The goal of this three-year NSF Earth Cube funded effort is to develop open source, Python based tools for the analysis of simulation data sampled on unstructured grids.NCAR-SIA11Yhttps://vast.ucar.edu/projects/ncar-sia11y/Fri, 24 Jun 2022 11:44:13 -0600https://vast.ucar.edu/projects/ncar-sia11y/Term: 2019 - 2022 Funding source: UCAR, Smithsonian Institution Partners: NCAR, Smithsonian National Museum of African American History and Culture Website: coming soon Augmented Reality (AR) technology has been predominantly used to develop applications that visually augment physical spaces.Project Pythiahttps://vast.ucar.edu/projects/pythia/Fri, 24 Jun 2022 11:44:13 -0600https://vast.ucar.edu/projects/pythia/Term: 2020 - 2023 Funding source: NSF Partners: NCAR, Unidata, and University at Albany Website: https://projectpythia.org/ With the support of a three-year NSF Earth Cube award, Project Pythia is a community-driven effort to develop the world’s goto resource for helping geoscientists at any stage of their career learn how to use the Scientific Python Ecosystem to support their data analysis needs.SPERR Compressionhttps://vast.ucar.edu/projects/sperr/Fri, 24 Jun 2022 11:44:13 -0600https://vast.ucar.edu/projects/sperr/Term: 2020 - 2023 Funding source: NSF Website: https://github.com/NCAR/SPERR SPERR is a lossy compressor for scientific data (2D or 3D floating-point data, mostly produced by numerical simulations).VizAccesshttps://vast.ucar.edu/projects/vizaccess/Fri, 24 Jun 2022 11:44:13 -0600https://vast.ucar.edu/projects/vizaccess/Term: 2020 - 2021 Funding source: UCAR Presidents Strategic Innovation Fund 2020 Partners: NCAR Website: [coming soon] Accessibility of scientific visualizations for people who are blind/vision impaired (PBVI) is a critically underexplored area in visualization research. \ No newline at end of file +VAST Research & Development on VAST | Visualization and Analysis Software and Technologyhttps://vast.ucar.edu/projects/Recent content in VAST Research & Development on VAST | Visualization and Analysis Software and TechnologyHugo -- gohugo.ioen-usMon, 23 Dec 2019 16:48:28 +0600Wildfire Visualizationhttps://vast.ucar.edu/projects/wildfire-visualization/Fri, 11 Aug 2023 11:57:59 -0600https://vast.ucar.edu/projects/wildfire-visualization/Term: 2021 - 2023 Funding source: NSF Partners: NCAR, Northern Arizona University Website: VAPOR VAPOR has been used for years to help communicate new findings in wildfire simulations from codes like WRF-Fire and CAWFE, through 3D visualization.Earth System Data Sciencehttps://vast.ucar.edu/projects/esds/Thu, 25 Aug 2022 11:44:13 -0600https://vast.ucar.edu/projects/esds/Term: 2020 - 2023 Website: https://ncar.github.io/esds/ NCAR’s Earth System Data Science (ESDS) initiative aims to build a community of technical support for geoscientists by addressing common big data challenges.Project Raijinhttps://vast.ucar.edu/projects/raijin/Fri, 24 Jun 2022 11:57:54 -0600https://vast.ucar.edu/projects/raijin/Term: 2021 - 2024 Funding source: NSF Partners: NCAR/CGD, Penn State University, Colorado State University, Max-Planck-Institut für Meteorologie Website: https://raijin.ucar.edu/ The goal of this three-year NSF Earth Cube funded effort is to develop open source, Python based tools for the analysis of simulation data sampled on unstructured grids.NCAR-SIA11Yhttps://vast.ucar.edu/projects/ncar-sia11y/Fri, 24 Jun 2022 11:44:13 -0600https://vast.ucar.edu/projects/ncar-sia11y/Term: 2019 - 2022 Funding source: UCAR, Smithsonian Institution Partners: NCAR, Smithsonian National Museum of African American History and Culture Website: coming soon Augmented Reality (AR) technology has been predominantly used to develop applications that visually augment physical spaces.Project Pythiahttps://vast.ucar.edu/projects/pythia/Fri, 24 Jun 2022 11:44:13 -0600https://vast.ucar.edu/projects/pythia/Term: 2020 - 2023 Funding source: NSF Partners: NCAR, Unidata, and University at Albany Website: https://projectpythia.org/ With the support of a three-year NSF Earth Cube award, Project Pythia is a community-driven effort to develop the world’s goto resource for helping geoscientists at any stage of their career learn how to use the Scientific Python Ecosystem to support their data analysis needs.SPERR Compressionhttps://vast.ucar.edu/projects/sperr/Fri, 24 Jun 2022 11:44:13 -0600https://vast.ucar.edu/projects/sperr/Term: 2020 - 2023 Funding source: NSF Website: https://github.com/NCAR/SPERR SPERR is a lossy compressor for scientific data (2D or 3D floating-point data, mostly produced by numerical simulations).VizAccesshttps://vast.ucar.edu/projects/vizaccess/Fri, 24 Jun 2022 11:44:13 -0600https://vast.ucar.edu/projects/vizaccess/Term: 2020 - 2021 Funding source: UCAR Presidents Strategic Innovation Fund 2020 Partners: NCAR Website: [coming soon] Accessibility of scientific visualizations for people who are blind/vision impaired (PBVI) is a critically underexplored area in visualization research. \ No newline at end of file diff --git a/projects/page/2/index.html b/projects/page/2/index.html index 6414278..561cb45 100644 --- a/projects/page/2/index.html +++ b/projects/page/2/index.html @@ -75,6 +75,19 @@

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diff --git a/projects/wildfire-visualization/index.html b/projects/wildfire-visualization/index.html new file mode 100644 index 0000000..c58759d --- /dev/null +++ b/projects/wildfire-visualization/index.html @@ -0,0 +1,189 @@ + + +Wildfire Visualization + + + + + + + + + + + +
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Term: 2021 - 2023
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Funding source: NSF
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Partners: NCAR, Northern Arizona University
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Website: VAPOR
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VAPOR has been used for years to help communicate new findings in wildfire simulations from codes like WRF-Fire and CAWFE, through 3D visualization. Recently, visualizations of Colorado’s East Troublesome Wildfire and Marshall Wildfire have been used to assess the responses to simulation data from people affected by these disasters through NCAR’s Innovators Program. These visualizations have also been used in explainer videos for research in artificial intelligence at NCAR’s Research Applications Laboratory, and have taken home a Best Overall Visualization award at the PEARC23 conference in Portland, Oregon.

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Collaborators: Scott Pearse (NCAR/CISL), Catrin Edgeley (NAU), William Cannon (NAU), Timothy Juliano (NCAR/RAL), Branko Kosovic (NCAR/RAL), Amy DeCastro (NCAR/RAL), Gabriele Pfister (NCAR/ACOM), Rajesh Kumar (NCAR/RAL)

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