RESOURCES

Insights on Wildfire & Extreme Weather

Scientific Research

FIRE-RES Geo-Catch: a mobile application to support reliable fuel mapping at a pan-European scale

2023 • Erico Kutchartt, José R. González-Olabarria, Antoni Trasobares, Sergio de-Miguel, Adrián Cardil, Brigite Botequim, Vassil Vassilev, Palaiologos Palaiologou, Martino Rogai, Francesco Pirotti

Scientific Research

In temperate Europe, fire is already here: The case of The Netherlands

2023 • Cathelijne R. Stoof, Edwin Kok, Adrián Cardil Forradellas, Margreet J. E. van Marle

Scientific Research

Satellite-based mapping of canopy fuels at the pan-European scale

2024 • Erico Kutchartt, José Ramón González-Olabarria, Antoni Trasobares, Núria Aquilué, Juan Guerra-Hernández, Leónia Nunes, Ana Catarina Sequeira, Brigite Botequim, Marius Hauglin, Palaiologos Palaiologou, Adrián Cardil, Martino Rogai, Vassil Vassilev, Francois Pimont, Olivier Martin-Ducup, Francesco Pirotti

Scientific Research

Pan-European fuel map server: An open-geodata portal for supporting fire risk assessment

2024 • Erico Kutchartt, José Ramón González-Olabarria, Núria Aquilué, Jordi Garcia-Gonzalo, Antoni Trasobares, Brigite Botequim, Marius Hauglin, Palaiologos Palaiologou, Vassil Vassilev, Adrián Cardil, Miguel Ángel Navarrete, Christophe Orazio, Francesco Pirotti

Scientific Research

Improving fire danger forecasting with numerical weather prediction and machine learning (T).

2024 • Chris Rodell. University of British Columbia.

Scientific Research

Sustained Wind Forecasts from the High-Resolution Rapid Refresh Model: Skill Assessment and Bias Mitigation

2025. Robert G. Fovell, Scott B. Capps

Scientific Research

Predicting wildfire risk: Enhancing fire danger assessment with high-resolution numerical weather modeling.

2024 • Rodell, C., Howard, R., Jain, P., Moisseeva, N., Chui, T., & Stull, R. B.

Scientific Research

Technosylva Develops the Methods to Make Fire Simulations Explain Observed and Predicted Events in Real-Time

Fire simulations have greatly improved the way fire agencies and others approach wildland fire management.

Scientific Research

Technosylva and CSU Researchers Investigate How to Measure the Survival-Likelihood of Individual Buildings Effected by Wildfire

Wildfire events in California and around the world have resulted in significant social and economic losses.

Scientific Research

Technosylva Takes the Science to the Hands of the Firefighters in the Field

Accurately predicting fire spread and behavior on the fire line, where reception for data connectivity is difficult, is highly important.

Scientific Research

Measuring Wildfire Exposure to Communities is Possible in Real Time

Wildfires are a major threat to communities and their impacts can be devastating. That’s why it’s so important to have accurate information about the time and likelihood of a wildfire reaching a particular area.

Scientific Research

A First Time Validation of Fire Spread Modeling on the Fire Line

Despite California being a major fire hotspot in the Americas, there is no extensive scientific analysis of operational fire spread models allowing analysis of their performance and drivers leading to model inaccuracies.

Scientific Research

The unprecedented Pacific Northwest heatwave of June 2021.

White, R., & 15 coauthors, including Rodell, C. (2023). Nature Communications, 14(727).

Scientific Research

Climate teleconnections modulate global burned area

January 2023 • Adrián Cardil, Marcos Rodrigues, Mario Tapia, Renaud Barbero, Joaquin Ramírez, Cathelijne R. Stoof, Carlos Alberto Silva, Midhun Mohan & Sergio de-Miguel

Scientific Research

Characterizing the rate of spread of large wildfires in emerging fire environments of northwestern Europe using Visible Infrared Imaging Radiometer Suite active fire data

January 2023 • Adrián Cardíl, Victor M. Tapia, Santiago Monedero, Tomás Quiñones, Kerryn Little, Cathelijne R. Stoof, Joaquín Ramirez, and Sergio de-Miguel