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

Despite California being a major fire hotspot in the Americas,…
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Measuring Wildfire Exposure to Communities is Possible in Real Time

Wildfires are a major threat to communities and their impacts…
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Technosylva Takes the Science to the Hands of the Firefighters in the Field

Accurately predicting fire spread and behavior on the fire line,…

Additional Peer Reviewed Publications

Fire Research by Adrian Cardil, Joaquin Ramirez and Santiago Monedero

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

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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

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Characterizing the Rate of Spread of Wildfires in Emerging Fire Environments of Northwestern Europe

March 2022 • Victor Mario Tapia, Santiago Monedero, Kerryn Little, Sergio de-Miguel, Cathelijne Stoo5, and Adrián Cardíl

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Treetop: A Shiny-based application and R package for extracting forest information from LiDAR data for ecologists and conservationists

February 2022 • Carlos Alberto Silva, Andrew T. Hudak, Lee A. Vierling,Ruben Valbuena, Adrian Cardil, Midhun Mohan, Danilo Roberti Alves de Almeida, Eben N. Broadbent, Angelica M. Almeyda Zambrano, Ben Wilkinson, Ajay Sharma, Jason B. Drake, Paul B. Medley, Jason G. Vogel, Gabriel Atticciati Prata, Jeff W. Atkins, Caio Hamamura, Daniel J. Johnson, Carine Klauberg

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Remotely Sensed Tree Characterization in Urban Areas: A Review

December 2021 • Luisa Velasquez-Camacho, Adrián Cardil, Midhun Mohan, Maddi Etxegarai, Gabriel Anzaldi and Sergio de-Miguel

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Estimating total fuel load in tropical savanna using NASA’s GEDI spaceborne lidar and machine learning

December 2021 • Leite, Rodrigo Silva, Carlos Alberto Broadbent, Eben Amaral, Cibele Liesenberg, Verado Almeida, Danilo Mohan, Midhun Godinho, Sergio Cardil, Adrian Hamamura, Caio Faria, Bruno Brancalion, Pedro Hirsch, André Marcatti, Gustavo Dalla-Corte, Ana Paula Zambrano, Angelica Costa, Máira Matricardi, Eraldo Silva, Anne Goya, Lucas Ré Y Valbuena, Rubén Mendonça, Bruno Silva-Júnior, Celso Aragão, Luiz García, Mariano Liang, Jinjing Merrick, Trina Hudak, Andrew Xiao, Jingfeng Hancock, Steven Saatchi, Sassan Klauberg, Carine

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Fire behavior modeling for operational decision-making

October 2021 • Adrián Cardil, Santiago Monedero, Gavin Schag, Sergio de-Miguel, Mario Tapia, Cathelijine R. Stoof, Carlos A. Silva, Midhun Mohan, Alba Cardil, Joaquin Ramirez

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Individual tree detection using UAV-lidar and UAV-SfM data: A tutorial for beginners

September 2021 • Midhun Mohan, et al. 

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UAV-Supported Forest Regeneration: Current Trends, Challenges and Implications

July 2021 • Midhun Mohan, Gabriella Richardson, Gopika Gopan, Matthew Mehdi Aghai, Shaurya Bajaj, G. A. Pabodha Galgamuwa, Mikko Vastaranta, Pavithra S. Pitumpe Arachchige, Lot Amorós, Ana Paula Dalla Corte, Sergio de-Miguel, Rodrigo Vieira Leite, Mahlatse Kganyago, Eben North Broadbent, Willie Doaemo. Mohammed Abdullah Bin Shorab and Adrian Cardil

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Do climate teleconnections modulate wildfire-prone conditions over the Iberian Peninsula?

April 2021 • Marcos Rodrigues, Dhais Peña-Angulo, Ana Russo, María Zúñiga-Antón and Adrián Cardil

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CALIFORNIA 2020: Worst Fire Season Ever, Again. Now What? An effort to dissect the California Fire Quilt

January 2021 • Joaquin Ramirez IAWF Wildfire Magazine

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Regional Level Data Server for Fire Hazard Evaluation and Fuel Treatments Planning

December 2020 • Goran Krsnik, Eduard Busquets Olivé, Míriam Piqué Nicolau, Asier Larrañaga, Adrián Cardil, Jordi García-Gonzalo and José Ramón González Olabarría

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Establishing Propagation Nodes as a Basis for Preventing Large Wildfires: The Proposed Methodology

December 2020 • Raúl Quílez1, Luz Valbuena, Jordi Vendre, Kathleen Uytewa, and Joaquín Ramirez

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Coupled effects of climate teleconnections on drought, Santa Ana winds and wildfires in southern California

October 2020 • Adrián Cardil, Marcos Rodrigues, Joaquin Ramirez, Sergio de-Miguel, Carlos A. Silva, Michela Mariani, Davide Ascoli

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A Bespoke Workflow Management System for Data-Driven Urgent HPC

October 2020 • Gordon P. S. Gibb, Nick Brown, Rupert W, Nash, Miguel Mendes, Santiago Monedero, Humberto Díaz Fidalgo, Joaquín Ramírez Cisneros, Adrián Cardil, Max Kontak

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Assessing wildland–urban interface fire risk

August 2020 • Hussam Mahmoud, Akshat Chulahwat

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A Live Fuel Moisture Content Product from Landsat TM Satellite Time Series for Implementation in Fire Behavior Models

May 2020 • Mariano García, David Riaño, Marta Yebra, Javier Salas, Adrián Cardil, Santiago Monedero, Joaquín Ramirez, Pilar Martín, Lara Vilar, John Gajardo, Susan Ustin

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How does drought impact burned area in Mediterranean vegetation communities?

July 2019 • A. Cardil, C. Vega-García, D. Ascoli, D.M. Molina-Terrén, C.A. Silva, M. Rodrigues

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Assessing and reinitializing wildland fire simulations through satellite active fire data

October 2018 • Adrián Cardila, Santiago Monedero, Joaquin Ramírez, Carlos Alberto Silva

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Unraveling the Complexity of Wildland Urban Interface Fires

June 2018 • Hussam Mahmoud, Akshat Chulahwat

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Assessing Pine Processionary Moth Defoliation Using Unmanned Aerial Systems

October 2017 • Adrián Cardil, Udayalakshmi Vepakomma, Lluis Brotons

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Simulating wildfires backwards in time from the final fire perimeter in point-functional fire models

February 2017 • S. Monedero, J. Ramirez, D. Molina-Terren, A. Cardil

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New Approaches in Fire Simulations Analysis with Wildfire Analyst

May 2011 • Joaquin Ramírez, David Buckley

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Weather Research led by Scott Capps

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

2025. Robert G. Fovell, Scott B. Capps Read more

Modelling chamise fuel moisture content across California: a machine learning approach

2022. Scott B. Capps, Wei Zhuang, Rui Liu, Tom Rolinski, Xin Qu  Read more

The Santa Ana wildfire threat index: methodology and operational implementation

2016. Tom Rolinski, Scott B. Capps, Robert G. Fovell, Yang Cao, Brian J. D’Agostino, Steve Vanderburg Read more

Santa Ana winds: a descriptive climatology

2019. Tom Rolinski, Scott B. Capps, Wei Zhuang  Read more

Observed and CAM3 GCM Sea Surface Wind Speed Distributions: Characterization, Comparison, and Bias Reduction

2008. Scott B. Capps, Charles S. Zender Read more

Sensitivity of Southern California Wind Energy to Turbine Characteristics

2010. Scott B. Capps, Alex Hall, Mimi Hughes Read more

Global ocean wind power sensitivity to surface layer stability

2009. Scott B. Capps, Charles S. Zender Read more

Weather Research by Matt Brewer

Hybrid numerical weather prediction: Downscaling GraphCast AI forecasts for downslope windstorms

2024.  Matthew Brewer, Robert G. Fovell, Scott B. Capps. Read more

Sundowner Winds at Montecito during the Sundowner Winds Experiment

Year: 2024
Authors: Robert G. Fovell, Matthew Brewer
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The Sundowner Winds Experiment (SWEX) in Santa Barbara, CA: Advancing Understanding and Predictability of Downslope Windstorms in Coastal Environments

2024.  Leila M. V. Carvalho, Gert-Jan Duine, Craig B. Clements, et al. Read more

The December 2021 Marshall Fire: Predictability and Gust Forecasts from Operational Models

2022. Robert G. Fovell, Matthew Brewer, Richard J. Garmong  Read more

Overview of the CPOC Pilot Study at Whiteface Mountain, NY: Cloud Processing of Organics within Clouds (CPOC)

2020. Sara Lance, Jie Zhang, James J. Schwab, et al. Read more

Meteorological Profiling in the Fire Environment Using UAS

2020. Matthew Brewer, Craig B. Clements  Read more

Weather Research by Chris Rodell

A Predictive Model for Estimating Hourly Fire Radiative Power Using Machine Learning. (In prep)

2025Rodell, C., Jain, P., & Stull, R. B. . Weather and Forecasting.

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

2024 Chris Rodell. University of British Columbia.  https://open.library.ubc.ca/collections/ubctheses/24/items/1.0447431

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.  https://doi.org/10.1175/WAF-D-23-0226.1

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

2024 Chris Rodell. University of British Columbia. https://open.library.ubc.ca/collections/ubctheses/24/items/1.0447431

An hourly and daily fire weather index dataset (2021–2023).

Rodell, C., Howard, R., Jain, P., Moisseeva, N., Chui, T., & Stull, R. B. (2024).  https://doi.org/10.20383/102.0314

The unprecedented Pacific Northwest heatwave of June 2021.

Fei, C., White, R., & Rodell, C. (2023). Bulletin of the Canadian Meteorological and Oceanographic Society. https://bulletin.cmos.ca/the-unprecedented-pacific-northwest-heatwave-of-june-2021/

The unprecedented Pacific Northwest heatwave of June 2021.

White, R., & 15 coauthors, including Rodell, C. (2023). Nature Communications, 14(727). https://doi.org/10.1038/s41467-023-36289-3

Rapid attribution analysis of the extraordinary heat wave on the Pacific coast of the US and Canada in June 2021.

Philip, S. Y., & 26 coauthors, including Rodell, C. (2022). Earth Systems Dynamics, 13, 1689–1713. https://doi.org/10.5194/esd-13-1689-2022

Recent crown thinning in a boreal black spruce forest does not reduce spread rate nor total fuel consumption: Results from an experimental crown fire in Alberta, Canada.

Thompson, D., & 12 coauthors, including Rodell, C. (2020).  Fire, 3(28). https://doi.org/10.3390/fire3030028

Evaluating thunderstorm gust fronts in New Mexico and Arizona.

Luchetti, N. T., Friedrich, K., & Rodell, C. (2020).  Monthly Weather Review, 148, 4943–4956. https://doi.org/10.1175/MWR-D-20-0204.1

Characterizing thunderstorm gust fronts near complex terrain.

Luchetti, N. T., Friedrich, K., Rodell, C., & Lundquist, J. K. (2020). Monthly Weather Review, 148, 3267–3286. https://doi.org/10.1175/MWR-D-19-0316.1