Alaska Fire Modeling Webinars & Workshops

Presenter: Jennifer L. Jenkins
Publisher: Alaska Fire Science Consortium
Year: 2019

April 24, 2019 webinar presented by Jennifer Jenkins, Bureau of Land Management. Organized by the AWFCG Fire Modeling and Analysis Committee. The webinar focused on locations and processes for acquiring data used in WFDSS for fire behavior modeling...

Presenter: Robert Ziel , Eric Miller , Chris Moore
Publisher: Alaska Fire Science Consortium
Year: 2019

Organized by the Alaska Fire Modeling and Analysis Committee. Presented by Eric Miller, Chris Moore, and Robert (Zeke) Ziel.

Presenter: Chris Moore , Robert Ziel , Lisa B. Saperstein
Publisher: Alaska Fire Science Consortium
Year: 2018

Organized by the AWFCG Fire Modeling & Analysis Committee (FMAC), this webinar is meant to help listeners get ready for the upcoming fire season in Alaska. Speakers and topics included: Chris Moore on 2017 Fire Modeling Case Studies (AKA "Have you...

Presenter: Jennifer L. Jenkins , Dan LaBarre
Publisher: Alaska Fire Science Consortium
Year: 2017

Alaska Fire Modeling and Analysis Committee Webinar: DOF and AFS GIS servers

Webinar by Dan LaBarre and Jennifer Jenkins

Presenter: Robert Ziel , Jennifer L. Barnes , Richard D. Stratton
Publisher: Alaska Fire Science Consortium
Year: 2017

"WFDSS Analyses: Getting Ready for the 2017 Season" webinar on May 17, 2017, organized by the Fire Modeling and Analysis Committee and presented by Rick Stratton, Jennifer Barnes, and Robert Ziel.

Presenter: Eric A. Miller
Publisher: Alaska Fire Science Consortium
Year: 2016

Summary: Why does the feathermoss fuel bed fit so poorly into fire behavior and fire danger rating systems? What do we know or think we know? This presentation will explore the feathermoss fuel bed in the context of poikilohydry in bryophytes, hydro-/...

Presenter: Robert Ziel
Publisher: Alaska Fire Science Consortium
Year: 2016

With updates to the National Fire Danger Rating System (NFDRS) to be implemented over the next two years, fire managers in Alaska and the Lake States need to learn about the most important revisions. Changes to fine fuel moistures estimates in the US...

Presenter: Robert Ziel , Laurie L. Kurth , Lisa B. Saperstein
Publisher: Alaska Fire Science Consortium
Year: 2016

Webinar with Robert (Zeke) Ziel, Laurie Kurth, and Lisa Saperstein. Organized by the Fire Modeling and Analysis Committee. Recorded on May 24, 2016.

  • Robert (Zeke) Ziel: Using FFMC and DMC to assess fuel moisture and use of BUI to help...

Presenter: Tom St. Clair
Publisher: Alaska Fire Science Consortium
Year: 2016

At what thresholds do old burn scars become available to burn again? Exploring the idea that satellite heat detects can be correlated to the Fire Weather Indices and large fire perimeters. Of 54,673 VIIRS heat detects in 2015, 11% were in areas burned...

Presenter: Peter Butteri , K. T. Pyne
Publisher: Alaska Fire Science Consortium
Year: 2015

This training webinar was presented by Peter Butteri (US Fish and Wildlife Service/Bureau of Land Management-Alaska Fire Service) and KT Pyne (Alaska Division of Forestry, Strategic Planner), and Co-organized by the Fire Modeling and Analysis...

Presenter: Lisa B. Saperstein
Publisher: Alaska Fire Science Consortium
Year: 2014

This webinar explores a current effort to use the Interagency Fuel Treatment Decision Support System (IFTDSS) in Alaska for fuel treatment planning on or adjacent to the Kenai National Wildlife Refuge. In addition, IFTDSS was also used to assess the...

Presenter: Lisa B. Saperstein , Brian Sorbel , Robert Ziel
Publisher: Alaska Fire Science Consortium
Year: 2014

The Webinar on March 5, 2014 was organized by the Alaska Fire Modeling Applications Committee and hosted by Alaska Fire Science Consortium. Three fire analysts discuss the good, the bad and the ugly from their experiences modeling several Alaska fires...

Publisher: AWFCG Fire Research Development and Application Committee and Alaska Fire Science Consortium
Year: 2014

The following process can be used for drying duff, foliar, woody, and herbaceous fuel moisture samples along with entering data and calculating moisture content and the CFFDRS Indices.

Presenter: Mitch Burgard , Jennifer L. Barnes , Tom St. Clair
Publisher: Alaska Fire Science Consortium
Year: 2013

This webinar is targeted towards those doing fire analyses in WFDSS (Wildland Fire Decision Support System--http://wfdss.usgs.gov/) or those with an interest in doing them in the future. Mitch Burgard, Wildland...

Publisher: AWFCG Fire Research Development and Application Committee and Alaska Fire Science Consortium
Year: 2013

Data sheet for field fuel moisture sampling in Alaska.

Publisher: AWFCG Fire Research Development and Application Committee and Alaska Fire Science Consortium
Year: 2013

This method has been modified from the Fuel Moisture Sampling in Boreal Forest Duff manual (by Brenda Wilmore) for field use. For more information on volumetric or TDR (time domain reflectometry) probe sampling procedures, please refer to the full...

Publisher: AWFCG Fire Research Development and Application Committee and Alaska Fire Science Consortium
Year: 2013

The methods below are generally based on R.A. Norum and M. Miller, 1984. Measuring Fuel Moisture Content in Alaska: Standard Methods and Procedures. USFS General Technical Report PNW-171. See also Fuel Moisture Collection Methods 2011,...

Publisher: AWFCG Fire Research Development and Application Committee and Alaska Fire Science Consortium
Year: 2013

Fuel moisture data entry spreadsheet for use in Alaska.

Publisher: Alaska Fire Science Consortium
Year: 2013

In 2012 the AWFCG Fire Modeling and Analysis Committee (FMAC) identified the need to determine live fuel moisture contents as these are direct inputs into fire behavior modeling software currently being used in Alaska (e.g. WFDSS FSPro, Short-Term-...

Publisher: AWFCG Fire Research Development and Application Committee and Alaska Fire Science Consortium
Year: 2013

Grass is a prominent fuel type with fire behavior distinct from other carrier fuels, burning quickly and with sometimes surprising intensity. At its most specific level grass-like fuels include not just grass but also sedges and, more uncommonly,...

Presenter: Jan Passek , Marsha Henderson
Publisher: Alaska Fire Science Consortium
Year: 2013

Presented at the 2013 Spring Fire Management Officer/Agency Administrator Meeting, Alaska Fire Service Training Rooms, Fairbanks

Presenter: Jan Passek
Publisher: Alaska Fire Science Consortium
Year: 2013

Presented at the 2013 Spring Fire Management Officer/Agency Administrator Meeting, Alaska Fire Service Training Rooms, Fairbanks

Publisher: Alaska Fire Science Consortium
Year: 2013

In 2012 the AWFCG Fire Modeling and Analysis Committee (FMAC) identified the need to determine live fuel moisture contents as these are direct inputs into fire behavior modeling software currently being used in Alaska (e.g. WFDSS FSPro, Short-Term-...

Presenter: Ben Pratt
Publisher: Alaska Fire Science Consortium
Year: 2012

A discussion about the calibration of fire models is presented by Ben Pratt.

Presenter: Marsha Henderson
Publisher: Alaska Fire Science Consortium
Year: 2011

A discussion of landscape edits specific to Alaska using the fire models.

Year: 2011

Summary of Fire Modeling Meeting held in Alaska on July 18, 2011.

Presenter: Frank Fay , Henry V. Bastian , Kurtis J. Nelson , Jeff Natharius , Birgit Peterson , Brenda Lundberg , Gregory K. Dillon , Donald G. Long , Matthew G. Rollins , Matt C. Reeves , Tobin Smail , Laurie L. Kurth , Donald Ohlen , Charley Martin , Jim Smith , Jim Napoli , Brian Sorbel , Marsha Henderson
Publisher: Alaska Fire Science Consortium
Year: 2011

This two part webinar series focused on LANDFIRE National products that are currently available to Alaska. The scope and schedule of the LANDFIRE Refresh project will also be briefly discussed along with many other interesting topics. Part 1 of the...

Presenter: Tom St. Clair
Publisher: Alaska Fire Science Consortium
Year: 2011

This webinar was facilitated by Tom St. Clair, Fairbanks, Alaska, and focused on WFDSS modeling and weather. The agenda items covered included: how to pick RAWS to get the best data for wind and fuels, using predicted weather, ERC classes tab in WFDSS...