Help us collect good practices for using global fire model outputs
We all know that fire modelling is hard! And that fire models are not perfect. But they are still useful, when used in the right way. Can you help us with some examples of where this is the case?
Extreme fire events in recent years have led to an increasing demand for information about drivers of fire and how this might look in the future. But as we know, multiple climate, vegetation, people, and land use factors make modelling fires extremely challenging.
We are collecting good practices for using global fire model* output, to highlight some of the fantastic work by many in the community at designing and implementing robust scientific fire analysis. We will use this to provide a guide to using fire models for science and policy, and a roadmap for development pathways to move the community forwards and help answer some of the urgent fire-related questions in our changing world.
(*In this context, when we say fire models we mean any way of representing fire with statistics, empirical models, process models and everything in between)
Your expertise and knowledge are needed! Could you provide answers to the following questions?
- Do you know of any studies where you / someone else has evaluated a fire model, which has helped inform or back-up a research question? Or have you designed a model to answer a specific research question?
- How did you /they account for model uncertainties?
- What would you do differently in hindsight?
- We especially want to hear from you if you’re unsure or don’t think your research is entirely relevant. Maybe we’ve missed that vital aspect of fire science!?
This will also help highlight and get your favourite research cited.
You can contribute in a variety of ways, pick one or two, or do all three of the following. It’s totally up to you:
- Fill in this questionnaire at https://forms.gle/ct5EV5MtdWQp9iXUA
- Request a remote chat – send us an email, and we will arrange a time, Doug Kelley, Chantelle Burton, Stacey New
- Fill in our anonymous jam boards to capture some information about the policy relevance of our models: https://jamboard.google.com/d/1airwbvhyAzmlGsSKNEPBFUKUQ-mZwQsllnztfDlkiIw/edit?usp=sharing
Substantial contributors may be invited as co-authors on any resultant paper!
Thank you so much for your input!