Labor Day fires of 2020 burned more of the Oregon Cascades than had burned in the previous 36 years combined

An analysis of the Labor Day 2020 wildfires in Oregon determined that the combination of high temperatures, unusually dry fuels, and strong winds occurring at the same time was unprecedented in the area.

2020 Labor Day fires in Oregon
2020 Labor Day fires in Oregon, research published in March 2021 by John T. AbatzoglouDavid E. RuppLarry W. O’NeillMojtaba Sadegh.

That flammable combination led to an unprecedented number of acres burned in the Oregon Cascades, about 11 percent of the mountain range, and more than the previous 36 years combined.

Below is a summary of research published last month titled, “Compound Extremes Drive the Western Oregon Wildfires of September 2020,” by John T. Abatzoglou, David E. Rupp, Larry W. O’Neill, and Mojtaba Sadegh.

“Several very large fires in western Oregon spread rapidly during an unusually strong offshore wind event that commenced on Labor Day in 2020. The Labor Day fires burned more area of the Oregon Cascades than had burned in the previous 36 years combined and very likely exceeded the area burned in any single year for at least the past 120 years. The fires damaged over 4,000 structures, led to several fatalities, placed over 10% of the state’s residents under some level of evacuation advisory, and contributed to the hazardous air quality across the Northwestern United States.

“A compound set of weather-related factors leading up to and during the fires facilitated these extreme fires. Unusually warm conditions with limited precipitation in the 60-days leading up to the fires allowed for fuels to become particularly dry and combustible by early September. Downslope offshore winds materialized during September 7–9, 2020 across the Oregon Cascades bringing exceptionally strong winds and dry air that drove rapid rates of fire spread. While neither of these individual factors was unprecedented, the concurrence of these drivers created conditions unmatched in the observational record.”

The authors called that the “Plain Language Summary.” To drill down even more into Plain Language, the conditions in Oregon were hot, dry, and windy.

The Hot-Dry-Windy Index (HDWI) is a new tool for firefighters to predict weather conditions which can affect the spread of wildfires.

It is described as being very simple and only considers the atmospheric factors of heat, moisture, and wind. To be more precise, it is a multiplication of the maximum wind speed and maximum vapor pressure deficit (VPD) in the lowest 50 or so millibars in the atmosphere. It does not consider fuel moisture.

In preliminary data that had not been peer reviewed when we wrote about it February 20, 2019, the HDWI was far more useful than the Haines Index in predicting the growth of the Chetco Bar Fire which  burned over 191,000 acres in Southwest Oregon in July, 2017.

The HDWI for Oregon’s Willamette Valley was far above the 95th percentile September 6-9, 2020. During the 10 days prior to September 9 it was above the 90th percentile on nine days. The strong winds occurred September 7-9, and most of the growth of the Labor Day fires was during that period.

Hot-Dry-Windy Index
Hot-Dry-Windy Index for Oregon’s Willamette Valley for the 10 days prior to September 9, 2020, and projected for September 9-15.
satellite photo fires smoke Washington, Oregon, and California
GOES-17 photo of smoke from wildfires in Washington, Oregon, and California at 5:56 p.m. PDT Sept. 8, 2020. The photo was taken during a very strong wind event.

Thanks and a tip of the hat go out to Bob.

Red Flag Warnings in seven Great Plains states, April 2, 2021

Red Flag Warnings April 2, 2021
Red Flag Warnings April 2, 2021. NOAA/Google.

Red Flag Warnings have been issued for areas of the Great Plains on April 2, including sections of North Dakota, South Dakota, Nebraska, Minnesota, Iowa, Kansas, and Oklahoma.

Very low relative humidity and strong winds are predicted. Most of the warnings expire Friday evening.

The Hot, Dry, Windy Index for April 2 shows elevated wildfire danger for many areas in the western U.S. This is a fairly new tool for fire managers, described as being very simple and only considers the atmospheric factors of heat, moisture, and wind. To be more precise, it is a multiplication of the maximum wind speed and maximum vapor pressure deficit (VPD) in the lowest 50 or so millibars in the atmosphere. It does not consider fuel moisture.

Hot, Dry, Windy Index for April 2, 2021
Hot, Dry, Windy Index for April 2, 2021

(Red Flag Warnings can be modified throughout the day as NWS offices around the country update and revise their weather forecasts.)

Analysis of wildfire danger during the California wind event using Hot-Dry-Windy Index

Hot-Dry-Windy Index
The Hot-Dry-Windy Index for an area 15 miles northwest of Santa Rosa, California.

Weather forecasters expect the wildland fire danger in some areas of  California to be extreme Tuesday night and into Thursday.  Strong north to northeast winds accompanied by low humidity has triggered Red Flag Warnings putting land managers on edge. PG&E is so worried it is proactively turning off the electrical power to 600,000 addresses in nearly 30 northern, central, coastal, and Bay Area counties.

We consulted a fairly new fire danger forecasting tool to see how it analyzed what firefighters will be faced with for  the next few days. The Hot-Dry-Windy Index (HDW) is described as being very simple and only considers the atmospheric factors of heat, moisture, and wind. To be more precise, it is a multiplication of the maximum wind speed and maximum vapor pressure deficit (VPD) in the lowest 50 or so millibars in the atmosphere.

The products, displayed as charts, show the index for the preceding 10 days and the forecast for the next 7 days. For the current and following days you will see results of the Global Ensemble Forecast System (GEFS), which is a weather forecast model made up of 21 separate forecasts, one control (in red) and twenty perturbations. The reasoning for showing 21 different forecasts is to quantify the amount of uncertainty in a forecast by generating an ensemble of multiple forecasts, each minutely different, or perturbed, from the original observations.The HDW only only uses weather information – fuels and topography are not considered by HDW at all. If the fuels are wet or have a high live or dead moisture content it will not be reflected in the data.

At the top of the page is the HDW forecast for an area about 15 miles northwest of Santa Rosa in the Bay Area of California. It predicts the Index will be above the 95th percentile on October 8, above the 90th percentile on October  9, and back up to the 95th percentile on October 10.

Below are HDW predictions for other areas in California.

Hot-Dry-Windy Index Susanville
Hot-Dry-Windy Index, Susanville

Hot-Dry-Windy Index Lake Tahoe
Hot-Dry-Windy Index for the area 30 miles south of Lake Tahoe near the Caples prescribed fire.

Hot-Dry-Windy Index Bakersfield
Hot-Dry-Windy Index for the Bakersfield and Lancaster area.

Hot-Dry-Windy Index San Diego County
Hot-Dry-Windy Index for eastern San Diego County

Firefighters get new tool for predicting wildfire danger

Hot-Dry-Windy Index

HDW index CF34 Fire wildfire weather Colorado
Hot-Dry-Windy Index for the area of the CR34 Fire in southeast Colorado February 13, 2019.

The Hot-Dry-Windy Index (HDW) is a new tool for firefighters to predict weather conditions which can affect the spread of wildfires.

It is described as being very simple and only considers the atmospheric factors of heat, moisture, and wind. To be more precise, it is a multiplication of the maximum wind speed and maximum vapor pressure deficit (VPD) in the lowest 50 or so millibars in the atmosphere.

On a website bearing the logos of the U.S. Forest Service, Michigan State University, and St. Cloud State University, you can click on the map to display the HDW for any area in the contiguous United States. Then the displayed chart shows the index for the preceding 10 days and the forecast for the next 7 days. For the current and following days you will see results of the Global Ensemble Forecast System (GEFS), which is a weather forecast model made up of 21 separate forecasts, one control (in red) and twenty perturbations. The reasoning for showing 21 different forecasts is to quantify the amount of uncertainty in a forecast by generating an ensemble of multiple forecasts, each minutely different, or perturbed, from the original observations.

The HDW only only uses weather information – fuels and topography are not considered by HDW at all. If the fuels are wet or have a high live or dead moisture content it will not be reflected in the data.

Another thing to keep in mind is that the rating which is shown on the percentile gradient compares the HDW to the average for that date, from 1979 to 2012, at that location on a 0.5-degree long/lat grid spacing, rather than to a year-long average.

Yesterday, February 13, the CR34 fire in southeast Colorado burned 3,800 acres. Judging from the way the smoke column was laying over it was pretty windy.

CR34 Fire in southeast Colorado
The CR34 Fire in southeast Colorado 10 miles south of Springfield, Wednesday afternoon February 13, 2019. Baca County Sheriff’s Office photo.

At the top of this page is the HDW prediction for yesterday at the location of the CR34 Fire, showing the predicted index for February 13 above the 95th percentile for that date.

The actual HDW below is centered on the most active day on the Pagami Creek Fire which was managed, rather than suppressed, for 25 days, until it ran 16 miles on September 12, 2011 eventually consuming over 92,000 acres of the Boundary Waters Canoe Area Wilderness in Minnesota. Eight USFS employees were caught out in front of the fire in canoes, with some of them having to deploy fire shelters. Like for the CR34 Fire, the HDW was well above the 95th percentile for the date.

HDW index for Pagami Creek Fire Sept. 12, 2011

Pagami Creek fire 9-11-2011
Pagami Creek fire September 11, 2011. Photo: Superior National Forest
Pagami fire, Lake Polly 9-12-11 Hans Martin USGS
Pagami fire, Lake Polly, 9-12-2011. Photo: Hans Martin, USGS.

Last year a paper was published about the Hot-Dry-Index, written by Jessica M. McDonald, Alan F. Srock, and Joseph J. Charney.

UPDATE: February 20, 2019: Brian Potter, a research meteorologist with the U.S. Forest Service, provided some preliminary results looking at how HDW performed during the 2017 Chetco Bar Fire in Oregon, as well as how the Haines index performed during that fire.