Giter Site home page Giter Site logo

zmlabe / datavizstudies Goto Github PK

View Code? Open in Web Editor NEW
14.0 3.0 3.0 1.27 MB

Repository for studies on data visualization in weather/climate science

Home Page: https://zacklabe.com/

License: MIT License

Jupyter Notebook 73.09% Python 25.91% R 1.00%
ensemble-model ensemble-learning data-visualization data-science climate-models climate-change hurricanes meteorology tropical-cyclone uncertainty-estimation

datavizstudies's Introduction

DataVizStudies

Repository for studies on data visualization in weather/climate science

Under construction... [Python 3.7]

Contact

Zachary Labe - Research Website - @ZLabe

Description

  • Scripts/: Main Python scripts/functions used in data analysis and plotting
  • requirements.txt: List of environments and modules associated with the most recent version of this project. A Python Anaconda3 Distribution was used for our analysis. Tools including NCL, CDO, and NCO were also used for initial data manipulation.

Data

  • Berkeley Earth Surface Temperature project (BEST) : [DATA]
    • Rohde, R. and Coauthors (2013) Berkeley earth temperature averaging process. Geoinform Geostat Overv. doi:10.4172/2327-4581.1000103 [PUBLICATION]
  • CESM Large Ensemble Project (LENS) : [DATA]
    • Kay, J. E and Coauthors, 2015: The Community Earth System Model (CESM) large ensemble project: A community resource for studying climate change in the presence of internal climate variability. Bull. Amer. Meteor. Soc., 96, 1333–1349, doi:10.1175/BAMS-D-13-00255.1, [Publication]

Publications

[2] Witt, J.K., Z.M. Labe, A.C. Warden, and B.A. Clegg (2023). Visualizing Uncertainty in Hurricane Forecasts with Animated Risk Trajectories. Weather, Climate, and Society, DOI:10.1177/1071181322661308 [HTML][SUMMARY][BibTeX]

[1] Witt, J.K., Z.M. Labe, and B.A. Clegg (2022). Comparisons of perceptions of risk for visualizations using animated risk trajectories versus cones of uncertainty. Proceedings of the Human Factors and Ergonomics Society Annual Meeting, DOI:10.1177/1071181322661308 [HTML][SUMMARY][BibTeX]

Conferences

[2] Witt, J.K., Z.M. Labe, and B. Clegg. Comparisons of Perceptions of Risk for Visualizations Using Animated Risk Trajectories Versus Cones of Uncertainty, Human Factors and Ergonomics Society (HFES) 66th International Annual Meeting, Atlanta, GA (Oct 2022). [ABSTRACT]

[1] Witt, J.K., Z.M. Labe, B. Clegg, and A. Warden. An alternative to the “Cone of Uncertainty” that is flexible, intuitive, and desirable for communicating hurricane forecasts, 17th Symposium on Societal Applications: Policy, Research and Practice, Virtual Attendance (Jan 2022). [ABSTRACT]

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. 📊📈🎉

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google ❤️ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.