Large Outdoor Fire Modeling (LOFM) Workshop Summary Report
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California Fire Siege 2007 an Overview Cover Photos from Top Clockwise: the Santiago Fire Threatens a Development on October 23, 2007
CALIFORNIA FIRE SIEGE 2007 AN OVERVIEW Cover photos from top clockwise: The Santiago Fire threatens a development on October 23, 2007. (Photo credit: Scott Vickers, istockphoto) Image of Harris Fire taken from Ikhana unmanned aircraft on October 24, 2007. (Photo credit: NASA/U.S. Forest Service) A firefighter tries in vain to cool the flames of a wind-whipped blaze. (Photo credit: Dan Elliot) The American Red Cross acted quickly to establish evacuation centers during the siege. (Photo credit: American Red Cross) Opposite Page: Painting of Harris Fire by Kate Dore, based on photo by Wes Schultz. 2 Introductory Statement In October of 2007, a series of large wildfires ignited and burned hundreds of thousands of acres in Southern California. The fires displaced nearly one million residents, destroyed thousands of homes, and sadly took the lives of 10 people. Shortly after the fire siege began, a team was commissioned by CAL FIRE, the U.S. Forest Service and OES to gather data and measure the response from the numerous fire agencies involved. This report is the result of the team’s efforts and is based upon the best available information and all known facts that have been accumulated. In addition to outlining the fire conditions leading up to the 2007 siege, this report presents statistics —including availability of firefighting resources, acreage engaged, and weather conditions—alongside the strategies that were employed by fire commanders to create a complete day-by-day account of the firefighting effort. The ability to protect the lives, property, and natural resources of the residents of California is contingent upon the strength of cooperation and coordination among federal, state and local firefighting agencies. -
Wildfires from Space
Wildfires from Space More Lessons from the Sky Satellite Educators Association http://SatEd.org This is an adaptation of an original lesson plan developed and published on-line by Natasha Stavros at NASA’s Jet Propulsion Laboratory. The original problem set and all of its related links is available from this address: https://www.jpl.nasa.gov/edu/teach/activity/fired-up-over-math-studying-wildfires-from-space/ Please see the Acknowledgements section for historical contributions to the development of this lesson plan. This spotlight on the “Wildfires from Space” lesson plan was published in November 2016 in More Lessons from the Sky, a regular feature of the SEA Newsletter, and archived in the SEA Lesson Plan Library. Both the Newsletter and the Library are freely available on-line from the Satellite Educators Association (SEA) at this address: http://SatEd.org. Content, Internet links, and materials on the lesson plan's online Resources page revised and updated in October 2019. SEA Lesson Plan Library Improvement Program Did you use this lesson plan with students? If so, please share your experience to help us improve the lesson plan for future use. Just click the Feedback link at http://SatEd.org/library/about.htm and complete the short form on-line. Thank you. Teaching Notes Wildfires from Space Invitation Wildfire is a global reality, and with the onset of climate change, the number of yearly wildfires is increasing. The impacts range from the immediate and tangible to the delayed and less obvious. In this activity, students assess wildfires using remote sensing imagery. -
Fire and Water
Fire and Water: An Emerging Nexus in California << THIS PAGE IS INTENTIONALLY LEFT BLANK >> A Report by the 2019 Water Education Foundation Water Leaders Water Education Foundation 2019 Water Leaders: Jonathan Abelson Erica Bishop Dominic Bruno Greg Bundesen Daniel Constable DeDe Cordell Andrew Garcia Jenifer Gee Cheyanne Harris Julia Hart Levi Johnson Kevin Kasberg Megan Maurino Danielle McPherson Maya Mouawad Tara Paul Geeta Persad Adriana Renteria Ivy Ridderbusch Gokce Sencan Melissa Sparks-Kranz Sarah Sugar Andrea Zimmer Acknowledgements and Thanks: The 2019 Water Leaders Class would like to thank the Water Education Foundation for providing us with this unique opportunity. We would also like to express our gratitude to each of the mentors that shared their invaluable time and insights. Finally, we would like to thank the supporters of the Water Education Foundation and the William R. Gianelli Water Leaders program. Without your generosity, this program would not be possible. Disclaimer: This report, and the opinions expressed herein do not necessarily represent the views of the Water Education Foundation (WEF) or its Board of Directors, the Water Leaders, or their employers. Cover photo credit: Ken James/California Department of Water Resources 1 Table of Contents List of Tables ................................................................................................................................. iii List of Figures .............................................................................................................................. -
Introduction to Fire Behavior Modeling (2012)
Introduction to Fire Behavior Modeling Introduction to Wildfire Behavior Modeling Introduction Table of Contents Introduction ........................................................................................................ 5 Chapter 1: Background........................................................................................ 7 What is wildfire? ..................................................................................................................... 7 Wildfire morphology ............................................................................................................. 10 By shape........................................................................................................ 10 By relative spread direction ........................................................................... 12 Wildfire behavior characteristics ........................................................................................... 14 Flame front rate of spread (ROS) ................................................................... 15 Heat per unit area (HPA) ................................................................................ 17 Fireline intensity (FLI) .................................................................................... 19 Flame size ..................................................................................................... 23 Major influences on fire behavior simulations ....................................................................... 24 Fuelbed structure ......................................................................................... -
Geologic Hazards
Burned Area Emergency Response (BAER) Assessment FINAL Specialist Report – GEOLOGIC HAZARDS Thomas Fire –Los Padres N.F. December, 2017 Jonathan Yonni Schwartz – Geomorphologist/geologist, Los Padres NF Introduction The Thomas Fire started on December 4, 2017, near the Thomas Aquinas College (east end of Sulphur Mountain), Ventura County, California. The fire is still burning and as of December 13, 2017, is estimated to have burned 237,500 acres and is 25% contained. Since the fire is still active, the BAER Team analysis is separated into two phases. This report/analysis covers a very small area of the fire above the community of Ojai, California and is considered phase 1 (of 2). Under phase 1 of this BAER assessment, 40,271 acres are being analyzed (within the fire parameter) out of which 22,971 acres are on National Forest Service Lands. The remaining 17,300 acres are divided between County, City and private lands. Out of a total of 40,271 acres that were analyzed, 99 acres were determined to have burned at a high soil burn severity, 19,243 acres at moderate soil burn severity, 12,044 acres at low soil burn severity and 8,885 acres were unburned. All of the above acres including the unburned acres are within the fire parameter. This report describes and assesses the increase in risk from geologic hazards within the Thomas Fire burned area. When evaluating Geologic Hazards, the focus of the “Geology” function on a BAER Team is on identifying the geologic conditions and geomorphic processes that have helped shape and alter the watersheds and landscapes, and assessing the impacts from the fire on those conditions and processes which will affect downstream values at risk. -
5A.4 Forest Fire Impact on Air Quality: the Lancon-De-Provence 2005 Case
5A.4 FOREST FIRE IMPACT ON AIR QUALITY: THE LANCON-DE-PROVENCE 2005 CASE S. Strada∗ and C. Mari - CNRS - University of Toulouse, Toulouse, France J. B. Filippi and F. Bosseur - CNRS, Corte, France 1. INTRODUCTION et al., 1998). The model was developped jointly between Meteo-France and Laboratoire d’Aerologie In Mediterranean region climate change is mak- (CNRS). In the present study, Meso-NH is run with ing weather conditions more extremes, allowing huge four interactively nested domains whose horizontal forested areas to become ignited. Forest fires are a mesh sizes are, respectively, 25, 5, 1 km and 200 m risk to the environment and to communities, more- (Figure 1). The simulation starts on June 29, over wildfire represent a significant source of gas and 2005, 00:00 UTC, and is integrated for 72 h, with aerosols. Depending on the meteorological condi- different time steps for each domain. The initial and tions, these emissions can efficiently perturb air qual- boundary conditions for the dynamical variables are ity and visibility far away from the sources. taken from ECMWF operational reanalyses. The aim of this work is to simulate the interactions The vertical grid had 72 levels up to 23 km with of a mediterranean fire with its environment both in a level spacing of 40 m near the ground and 600 m terms of dynamics and air quality. at high altitude. The microphysical scheme included the three water phases with five species of precipitat- 2. FIRE-ATMOSPHERE COUPLING ing and nonprecipitating liquid and solid water (Pinty and Jabouille, 1999). The turbulence parametriza- The fire spread model ForeFire has been coupled tion was based on a 1.5-order closure (Cuxart et al., with the French mesoscale atmospheric model Meso- 2000). -
Wildfire Resilience Insurance
WILDFIRE RESILIENCE INSURANCE: Quantifying the Risk Reduction of Ecological Forestry with Insurance WILDFIRE RESILIENCE INSURANCE: Quantifying the Risk Reduction of Ecological Forestry with Insurance Authors Willis Towers Watson The Nature Conservancy Nidia Martínez Dave Jones Simon Young Sarah Heard Desmond Carroll Bradley Franklin David Williams Ed Smith Jamie Pollard Dan Porter Martin Christopher Felicity Carus This project and paper were funded in part through an Innovative Finance in National Forests Grant (IFNF) from the United States Endowment for Forestry and Communities, with funding from the United States Forest Service (USFS). The United States Endowment for Forestry and Communities, Inc. (the “Endowment”) is a not-for-profit corporation that works collaboratively with partners in the public and private sectors to advance systemic, transformative and sustainable change for the health and vitality of the nation’s working forests and forest-reliant communities. We want to thank and acknowledge Placer County and the Placer County Water Agency (PCWA) for their leadership and partnership with The Nature Conservancy and the US Forest Service on the French Meadows ecological forest project and their assistance with the Wildfire Resilience Insurance Project and this paper. We would like in particular to acknowledge the assistance of Peter Cheney, Risk and Safety Manager, PCWA and Marie L.E. Davis, PG, Consultant to PCWA. Cover photo: Increasing severity of wildfires in California results in more deaths, injuries, and destruction of -
The PSW Firemapper: a Resource for Forest and Fire Imaging
Airborne Fire Mapping Dr. Philip J. Riggan: 951 203 7519 USDA Forest Service Pacific Southwest Research Station www.fireimaging.com The PSW FireMapper: A resource for forest and fire imaging •Fire spread and intensity •Aerial retardant application and effectiveness •Postfire resource assessment •Mapping forest mortality and fuels www.fireimaging.com Cedar Fire, San Diego County, California, midday, 26 October 2003 As viewed by the PSW FireMapper thermal-imaging radiometer 500 C 300 C 200 C 60 C 40 C Cedar Fire, San Diego County, California, 26 October 2003 As viewed by the PSW FireMapper thermal-imaging radiometer 500 C 300 C 200 C 60 C 40 C Cedar Fire, San Diego County, California, 26 October 2003 As viewed by the PSW FireMapper thermal-imaging radiometer 500 C 300 C 200 C 60 C 40 C Ground-surface temperatures at 11:34 am (pass 2). Esperanza Fire, Riverside County, California, 26 October 2006 As viewed by the PSW FireMapper thermal-imaging radiometer >600 400 200 75 74 0 Color-coded ground-surface temperatures as viewed from the northwest along four flight lines between 11:17 and 11:43 PST. Fire was actively spreading to the southwest under Santa Ana winds. Note the broken appearance of the head of the fire at lower right where it encountered young vegetation. FireMapper is now deployed for active-fire mapping aboard Forest Service aircraft N127Z and may be ordered through the Southern Operations Coordination Center. Esperanza Fire, Riverside County, California, 26 October 2006 As viewed by the PSW FireMapper thermal-imaging radiometer with winds simulated by the NCAR Coupled Atmosphere Wildland Fire Environment model Color-coded ground-surface temperatures as viewed from the south along four flight lines between 11:17 and 11:43 PST. -
Wildfire Smoke Effects on Health: Implementing an Air Quality Alert System for UCSD
Wildfire Smoke Effects on Health: Implementing an Air Quality Alert System for UCSD Melina Cunha June 2019 Acknowledgements This capstone project would not have been possible without the help of my Committee. I would like to thank Tarik Benmarhnia, my Committee Chair and faculty professor at Scripps Institution of Oceanography, for being an amazing mentor and guiding me through this entire process. His guidance in both the scientific basis of climate change and health as well as implementation of the alert system at UCSD has been instrumental to my success. I also want to thank Corey Gabriel for encouraging me to choose wildfires as my direction of study and helping me to brainstorm all of the different directions I could have gone with this project. I want to thank everyone in the Environment, Health, and Safety Emergency Management & Business Continuity Division at UCSD who were involved in the development and implementation of the alert system, including Dismas Abelman, Eric Delucien, and Matt Hussmann. Dismas was enthusiastic from the beginning and eager to do everything he could to help me complete this project. Eric developed the website that I created as a resource for students to get more information about wildfire smoke, air quality, and health. Matt was my initial contact with EH&S who helped me understand the function of Triton Alerts and the Emergency Division and connected me with Dismas. I also want to thank everyone else who discussed my capstone with me throughout the year and in the early days when I was considering other projects. Thank you also to my friends, family, and CSP cohort for supporting and inspiring me this past year. -
A Carbon-Cycle Based Stochastic Cellular Automata Climate Model
A CARBON-CYCLE BASED STOCHASTIC CELLULAR AUTOMATA CLIMATE MODEL KLAUS LICHTENEGGER, Institut f¨urPhysik, Karl-Franzens-Universit¨atGraz, Institut f¨urAnalysis und Computational Number Theory, Technische Universit¨atGraz; A-8010 Graz, Austria, [email protected] WILHELM SCHAPPACHER, Institute of Mathematics and Scientific Computing, Heinrichstraße 36 Graz University, 8010 Graz, Austria [email protected] March 23rd, 2011 Abstract In this article a stochastic cellular automata model is examined, which has been developed to study a \small" world, where local changes may noticeably alter global characteristics. This is applied to a climate model, where global temperature is determined by an interplay between atmo- spheric carbon dioxide and carbon stored by plant life. The latter can be relased by forest fires, giving rise to significant changes of global conditions within short time. Keywords: Cellular Automata; Forest Fire; Climate Dynamics; Carbon Cycle PACS Nos.: 64.60.ah, 89.75.-k, 89.75.Fb, 89.75.kd 1 Introduction arXiv:1103.4532v1 [nlin.CG] 23 Mar 2011 1.1 A Brief Note on Cellular Automata Cellular Automata (CA), as studied first by von Neumann and Ulam [1], provide systems both interesting from a fundamental point of view and for practical purposes of model builders. Among the systems most frequently studied are CA versions of daisyworld [2, 3, 4] and forest fire models [5, 6, 7, 8, 9]. The main idea is to study a grid or network of identical units (cells), which each can take discrete states, and where the time evolution of each cell is gov- erned by simple local rules: The state si(t) of a cell labelled by i at timestep t 1 is only determined by its previous state si(t − 1) and the states sjk (t − 1) of a small number k of neighbours, labelled by jk. -
Evaluating the Ability of FARSITE to Simulate Wildfires Influenced by Extreme, Downslope Winds in Santa Barbara, California
fire Article Evaluating the Ability of FARSITE to Simulate Wildfires Influenced by Extreme, Downslope Winds in Santa Barbara, California Katelyn Zigner 1,* , Leila M. V. Carvalho 1,2 , Seth Peterson 1, Francis Fujioka 3, Gert-Jan Duine 2 , Charles Jones 1,2, Dar Roberts 1,2 and Max Moritz 1,2,4 1 Department of Geography, University of California, Santa Barbara, Santa Barbara, CA 93106, USA; [email protected] (L.M.V.C.); [email protected] (S.P.); [email protected] (C.J.); [email protected] (D.R.); [email protected] (M.M.) 2 Earth Research Institute, University of California, Santa Barbara, CA 93106, USA; [email protected] 3 CEESMO, Chapman University, Orange, CA 92866, USA; [email protected] 4 University of California Cooperative Extension, Agriculture and Natural Resources Division, Oakland, CA 94607, USA * Correspondence: [email protected] Received: 12 June 2020; Accepted: 7 July 2020; Published: 10 July 2020 Abstract: Extreme, downslope mountain winds often generate dangerous wildfire conditions. We used the wildfire spread model Fire Area Simulator (FARSITE) to simulate two wildfires influenced by strong wind events in Santa Barbara, CA. High spatial-resolution imagery for fuel maps and hourly wind downscaled to 100 m were used as model inputs, and sensitivity tests were performed to evaluate the effects of ignition timing and location on fire spread. Additionally, burn area rasters from FARSITE simulations were compared to minimum travel time rasters from FlamMap simulations, a wildfire model similar to FARSITE that holds environmental variables constant. Utilization of two case studies during strong winds revealed that FARSITE was able to successfully reconstruct the spread rate and size of wildfires when spotting was minimal. -
Wildland Firefighter Burnover Fatalities on Prescribed Fires and Wildfires in the United States, 1990 to 2017
Wildland Firefighter Burnover Fatalities on Prescribed Fires and Wildfires in the United States, 1990 to 2017 Richard C. McCrea, Wildland Fire Associates, Boise, Idaho Abstract—In the 28-year period from 1990 to 2017, there were 41 incidents in the United States where firefighter burnover fatalities occurred on wildland fires. Ninety-six fatalities and 78 injuries were reported, with an average of 1.5 incidents and 3.4 fatalities per year. The great majority (76 percent) of fatalities occurred in mountainous terrain, where the most common situation was that fire personnel became trapped while working upslope or upcanyon from the fire when the fire made a sudden upslope run.The information for my report came primarily from serious accident investigations of individual incidents. The information presented in this paper will help managers and fire personnel better understand the environmental conditions and some of the human and organizational factors that are present during fatal burnovers. Keywords: accident, burnover, fatalities, incident INTRODUCTION Burnover fatalities are a rare occurrence when we consider the large number of fires that are suppressed This report is a review and analysis of wildland each year in the United States, but the results are firefighter burnover fatalities on prescribed fires and catastrophic. Five incidents between 1990 and 2017 wildfires in the United States from 1990 through 2017. resulted in 44 fatalities: 6 in the Dude Fire (Arizona), The National Wildfire Coordinating Group (NWCG) 5 in the Esperanza Fire (California); 14 in the South Glossary of Wildland Fire Terminology (2018) defines Canyon Fire (Colorado), and 19 in the Yarnell Hill Fire a burnover as “an event in which a fire moves through (Arizona).