update README.md

Author: jordan-evens

README.md

@@ -6,14 +6,17 @@ FireSTARR is designed to support wildland fire response decision-making, and is
 
 It focuses on the generation of burn probabilities from replicated simulation of fire growth, smouldering, and natural extinction under the weather and stochastic fire behaviour scenarios.
 
+![FireGUARD component model relationships](fireguard.png)
+
 ## Additional License Condition
 
 All covered works (e.g., copies of this work, derived works) must include a copy of the file (or an updated version of it) that details credits for work up to the time of the original open source release. That file is available [here](./ORIGIN.md).
 
 ## Publications
 
-FireGUARD is published at the following locations:
-
-- [Weather forecast model](https://doi.org/10.3390/fire3020016)
-- Burn probability model (In progress)
-- [Impact and likelihood-weighted impact model](https://doi.org/10.1071/WF18189)
+| Model         | Title                                                                                                                                                                            |
+|---------------|----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
+| FireGUARD     | [History and overview of research and development for Ontario’s FireGUARD decision support system for appropriate response](https://pubs.cif-ifc.org/doi/10.5558/tfc2025-015)    |
+| WeatherSHIELD | [Assembling and Customizing Multiple Fire Weather Forecasts for Burn Probability and Other Fire Management Applications in Ontario, Canada](https://doi.org/10.3390/fire3020016) |
+| RamPART       | [Impacts of wildland fire effects on resources and assets through expert elicitation to support fire response decisions](https://doi.org/10.1071/WF18189)                        |
+| FireSTARR     | FireSTARR: a fast probabilistic forest fire growth model using approximate wavelet geometry (in progress)                                                                        |