Interdisciplinary Approaches to Modeling Extreme Wildfire Events
Welcome to the Interdisciplinary Approaches to Modeling Extreme Wildfire Events repository, part of the Environmental Data Science Innovation and Inclusion Lab (ESIIL). This repository serves as the central hub for our working group, hosting our project description, proposals, member bios, codebase, and more.
Our Project
Extreme wildfire events are increasing, driven by the expansion of urban communities closer to forests, land management practices which suppressed wildfire, and climate change. These events have a low probability of occurring, but they exhibit exceptional fire behavior characteristics and produce severe consequences for forests and humans. While the media and field studies focus on extreme wildfire events like the Lahaina wildfire in Hawaii and the Paradise fire in California, most estimates of wildfire risk report averages, but not extreme events, and they often underestimate the effects of climate change. Our workshops will form a cohesive, interdisciplinary research team to: 1) synthesize our current understanding of extreme fire behavior, 2) isolate the current gaps in our understanding of the social and biophysical drivers that cause extreme wildfire events and risk to communities, 3) develop a roadmap for improving the representation of extreme events into models that represent social and biophysical processes, and 4) integrate a widely-used model of forest change into High Performance Computers to generate improved predictions of wildfire risk and the probability of extreme wildfire events. We will initially investigate extreme fires in the Sierra Nevada Mountains of California, interior Alaska, and the Southern Appalachians.
Project Proposal
Here, you will find the accepted project proposal, including project goals, timeline and more.
Group Members
- Member 1: Melissa Lucash, PI.
- Member 2: James Lamping, Co-PI and tech lead.
- Member 3: Rob Scheller, Co-PI.
- Member 4: Branda Nowell, Co-PI.
- Member 5: Sam Flake, Co-PI.
Code Repository
This section of the repository will include all the code developed for the project. You can structure it as follows:
- Analysis Code: Scripts for data analysis, statistical modeling, etc.
- Data Processing: Scripts for cleaning, merging, and managing datasets.
- Visualization: Code for creating figures, charts, and interactive visualizations.
Meeting Notes and Agendas
Meeting notes and agendas will be regularly updated here to keep all group members informed and engaged with the progress and direction of the project.
Contributing to This Repository
We welcome contributions from all group members. To maintain the quality and integrity of the repository, please adhere to the following guidelines:
- Make sure all commits have a clear and concise message.
- Document any major changes or decisions in the meeting notes.
- Review and merge changes through pull requests to ensure oversight.
Getting Help
If you encounter any issues or have questions about how to contribute, please refer to the ESIIL Support Page or contact the repository maintainers directly.
Customize Your Repository
As a new working group, you'll want to make this repository your own. Here's how to get started:
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Edit This Readme: Replace the placeholder content with information about your specific project. Ensure that the introduction, project overview, and objectives clearly reflect your group's research focus.
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Update Group Member Bios: Add details about each group member's expertise, role in the project, and professional background. Include links to personal or professional web pages to foster community engagement and collaboration.
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Organize Your Code: Structure your codebase in a way that is logical and accessible. Use directories and clear naming conventions to make it easy for all members to find and contribute to different parts of the project.
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Document Your Data: Include a data directory with README files explaining the datasets, sources, and any preprocessing steps. This will help new members understand and work with the project's data effectively.
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Outline Your Methods: Create a detailed METHODS.md file where you describe the methodologies, software, and tools you will be using in your research. This transparency will support reproducibility and collaborative development.
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Set Up Project Management: Utilize the 'Issues' and 'Projects' features on GitHub to track tasks, discuss ideas, and manage your workflow. This can help in maintaining a clear view of progress and priorities.
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Add a License: Choose and include an appropriate open-source license for your project, ensuring that the broader community understands how they can use and contribute to your work.
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Create Contribution Guidelines: Establish a CONTRIBUTING.md file with instructions for members on how to propose changes, submit issues, and contribute code.
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Review and Merge Workflow: Decide on a workflow for reviewing and merging changes. Will you use branch protection? Who will have merge privileges? Document this process to avoid confusion.
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Establish Communication Channels: Beyond GitHub, set up additional communication channels like Slack, Discord, or email lists for quick and informal discussions.
Remember, the goal is to make your repository clear, accessible, and useful for all current and future members of your working group. Happy researching!
-
Outline Your Methods: Create a detailed METHODS.md file where you describe the methodologies, software, and tools you will be using in your research. This transparency will support reproducibility and collaborative development.
-
Set Up Project Management: Utilize the 'Issues' and 'Projects' features on GitHub to track tasks, discuss ideas, and manage your workflow. This can help in maintaining a clear view of progress and priorities.
-
Add a License: Choose and include an appropriate open-source license for your project, ensuring that the broader community understands how they can use and contribute to your work.
-
Create Contribution Guidelines: Establish a CONTRIBUTING.md file with instructions for members on how to propose changes, submit issues, and contribute code.
-
Review and Merge Workflow: Decide on a workflow for reviewing and merging changes. Will you use branch protection? Who will have merge privileges? Document this process to avoid confusion.
-
Establish Communication Channels: Beyond GitHub, set up additional communication channels like Slack, Discord, or email lists for quick and informal discussions.
Remember, the goal is to make your repository clear, accessible, and useful for all current and future members of your working group. Happy researching!