scholarly journals Climatological evaluation of Haines forest fire weather index over the Mediterranean Basin

2013 ◽  
Vol 21 (3) ◽  
pp. 545-552 ◽  
Author(s):  
Hasan Tatli ◽  
Murat Türkeş
Keyword(s):  
Forest Fire ◽  
Mediterranean Basin ◽  
Fire Weather ◽  
Weather Index ◽  
Fire Weather Index ◽  
The Mediterranean ◽  
The Mediterranean Basin

Estimation of Forest Fire Risk by Using Fire Weather Index in the MENA Region

2020 ◽  
Author(s):  
Burcu Calda ◽  
Kamil Collu ◽  
Aytac Pacal ◽  
Mehmet Levent Kurnaz
Keyword(s):  
Observational Data ◽  
Forest Fire ◽  
Forest Fires ◽  
Control Period ◽  
Fire Risk ◽  
Fire Weather ◽  
Weather Index ◽  
Fire Weather Index ◽  
The Mediterranean ◽  
Forest Fire Risk

<p>Forest fires are naturals in the Mediterranean ecosystems. However, in the last decade, the number of wildfires has significantly increased in the Mediterranean basin along with climate change. Therefore, forecasts of this region by using fire indices are crucial to take necessary precautions. In the present study, the projected changes for the period 2070 - 2099 concerning the control period 1971 - 2000 were used to estimate forest fire risk by the Canadian Fire Weather Index (FWI). RCP4.5 and RCP8.5 emission scenarios (IPCC) outputs of MPI-ESM-MR and HadGEM2-ES dynamically downscaled to 50 km for the CORDEX-MENA domain with the use of the RegCM4 were utilized. ERA-Interim observational data from ECMWF covering the period 1980-2012 were also used to test the performances of models. The output of MPI-ESM-MR gave more similar fire risk prediction with the reforecast of observational data (ERA-Interim). Thus, the MPI-ESM-MR model could be more suitable to estimate fire risk by FWI. According to future projection, forest fire risk will significantly increase throughout the region for the last 30 years of this century.</p>

Projections of the Fire Weather Index (FWI) using CORDEX-CORE simulations

2021 ◽  
Author(s):  
Francesca Raffaele ◽  
Rita Nogherotto
Keyword(s):  
Mediterranean Basin ◽  
Climate Models ◽  
Regional Climate ◽  
Time Slice ◽  
Fire Weather ◽  
Climate Scenarios ◽  
Future Time ◽  
Weather Index ◽  
Fire Weather Index ◽  
The Mediterranean Basin

<p>Changes in global fire activity are influenced by a multitude of factors including land-cover change, policies, and climatic conditions. In this study we focus our attention on climate, investigating how relative humidity, wind, temperature and precipitation changes can act together in fire danger. Within the CORDEX-CORE initiative, two regional climate models (RCM) have been used at  0.22° resolution and to downscale 3 global climate models (GCMs) from the CMIP5 project. The analysis is carried out over 9 CORDEX domains for two climate scenarios namely the RCP2.6 and the RCP8.5. The high resolution regional climate simulations have been used to evaluate changes in the fire danger by means of the Fire Weather Index (FWI).  The attention is focused on the Mediterranean Basin and in South America, as well as in Australia and in the North America domains. Both climate scenarios show similar projections for the near future time slice (2031-2050) with an increase of the index in those areas that are already affected by seasonal fires such as Spain and Southern Italy for the Mediterranean Basin and the central band of Brazil. For the future time slice (2081-2100) the signal increases, and it is stronger for the RCP8.5 scenario in all regions as expected.</p><p> </p>

The Canadian Forest Fire Weather Index System as a predictor of total soil moisture content as estimated by the Thornthwaite water balance

1985 ◽  
Vol 15 (6) ◽  
pp. 1194-1195
Author(s):  
Robert S. McAlpine ◽  
Thomas G. Eiber
Keyword(s):  
Soil Moisture ◽  
Moisture Content ◽  
Water Balance ◽  
Forest Fire ◽  
Index System ◽  
Soil Moisture Content ◽  
Fire Weather ◽  
Weather Index ◽  
Fire Weather Index ◽  
Total Soil

Weather data from Upsala and Atikokan, Ontario, were used to determine the Canadian Forest Fire Weather Index System values and to calculate the soil moisture for two soil types using the Thornthwaite water balance. The Duff Moisture Code and the Drought Code were found to give excellent correlations with the total soil moisture content under most weather patterns.

scholarly journals Fire Weather Index Implementation in the Alpine Area

2012 ◽  
Vol 2012 ◽  
pp. 1-5 ◽  
Author(s):  
Daniele Cane ◽  
Nadia Ciccarelli ◽  
Renata Pelosini
Keyword(s):  
Forest Fire ◽  
Fire Weather ◽  
Mountain Areas ◽  
Weather Index ◽  
Local Conditions ◽  
Fire Weather Index ◽  
Fire Propagation ◽  
A New Technique ◽  
Definition Of ◽  
Piedmont Region

Piedmont region is located in North-Western Italy and is surrounded by the alpine chain and by the Apennines. The region is covered by a wide extension of forests, mainly in its mountain areas (the forests cover 36% of the regional territory). In the period 1997–2007, Piedmont gained interest by an average of 378 wildfire events per year, covering an average of 1767 ha of forest per year. Meteorological conditions like long periods without precipitation contribute to create favourable conditions to forest fire development, while the fire propagation is made easier by the foehn winds, frequently interesting the region in winter and spring particularly. We applied the Fire Weather Index FWI (Van Wagner, 1987) to the Piedmont region on warning areas previously defined for fire management purposes (Cane et al., 2008). Here we present a new technique for the definition of thresholds in order to obtain alert levels more suited with the local conditions of the forest fire warning areas. We describe also the implementation of the prognostic FWI prediction system, involving the use of good forecasts of weather parameters at the station locations obtained by the Multimodel SuperEnsemble postprocessing technique.

Relating changes in duff moisture to the Canadian Forest Fire Weather Index System in Populus tremuloides stands in Elk Island National Park

2007 ◽  
Vol 37 (10) ◽  
pp. 1987-1998 ◽  
Author(s):  
S. G. Otway ◽  
E. W. Bork ◽  
K. R. Anderson ◽  
M. E. Alexander
Keyword(s):  
Forest Fire ◽  
Populus Tremuloides ◽  
Index System ◽  
National Park ◽  
National Standard ◽  
Fire Weather ◽  
Weather Index ◽  
Fire Weather Index ◽  
Elk Island National Park ◽  
Topographic Positions

The manner in which trembling aspen ( Populus tremuloides Michx.) forest duff moisture changes during the growing season was investigated in Elk Island National Park, Alberta, Canada. A calibration–validation procedure incorporating one calibration site with moisture sampling across three topographic positions was used to develop predictive models, which were subsequently compared with 12 validation sites across three vegetation types throughout the Park. Duff moisture was modelled against the Duff Moisture Code and Drought Code components of the Canadian Forest Fire Weather Index System. Spring, summer, and fall rates of duff moisture change differed (P < 0.050) during calibration, with moisture loss greatest in spring. Additionally, while moisture changes on the south-facing and crest topographic positions were similar during spring, moisture losses were greater (P < 0.050) at these locations compared with the north-facing landscape position. Correlation analysis indicated that duff inorganic content and bulk density were both related to duff moisture but were limited in importance compared with weather-based influences. When compared with predicted values obtained from calibrated models, moderate predictability of duff moisture was found (mean absolute error = 20.7%–54.2%). Relative to the national standard equations, unique but very different empirical relationships were developed between the Duff Moisture Code and Drought Code and the moisture content of the duff layer in aspen forest stands found in Elk Island National Park.

Wildfires and the Canadian Forest Fire Weather Index system for the Daxing'anling region of China

2011 ◽  
Vol 20 (8) ◽  
pp. 963 ◽  
Author(s):  
Xiaorui Tian ◽  
Douglas J. McRae ◽  
Jizhong Jin ◽  
Lifu Shu ◽  
Fengjun Zhao ◽  
...  
Keyword(s):  
Forest Fire ◽  
Forest Fires ◽  
Coniferous Forest ◽  
Northern China ◽  
Fire Danger ◽  
Fire Season ◽  
Fire Weather ◽  
Burnt Area ◽  
Weather Index ◽  
Fire Weather Index

The Canadian Forest Fire Weather Index (FWI) system was evaluated for the Daxing'anling region of northern China for the 1987–2006 fire seasons. The FWI system reflected the regional fire danger and could be effectively used there in wildfire management. The various FWI system components were classified into classes (i.e. low to extreme) for fire conditions found in the region. A total of 81.1% of the fires occurred in the high, very high and extreme fire danger classes, in which 73.9% of the fires occurred in the spring (0.1, 9.5, 33.3 and 33.1% in March, April, May and June). Large wildfires greater than 200 ha in area (16.7% of the total) burnt 99.2% of the total burnt area. Lightning was the main ignition source for 57.1% of the total fires. Result show that forest fires mainly occurred in deciduous coniferous forest (61.3%), grass (23.9%) and deciduous broad leaved forest (8.0%). A bimodal fire season was detected, with peaks in May and October. The components of FWI system were good indicators of fire danger in the Daxing'anling region of China and could be used to build a working fire danger rating system for the region.

scholarly journals Updated Operational Implementation of the Canadian Forest Fire Weather Index System in Ireland

2021 ◽  
Author(s):  
Padraig Flattery ◽  
Klara Finkele ◽  
Paul Downes ◽  
Ferdia O'Leary ◽  
Ciaran Nugent
Keyword(s):  
Forest Fire ◽  
Index System ◽  
Weather Prediction ◽  
Fire Danger ◽  
Energy Output ◽  
Fire Intensity ◽  
Fire Weather ◽  
Reference Period ◽  
Weather Index ◽  
Fire Weather Index

&lt;p&gt;Since 2006 the Canadian Forest Fire Weather Index System (FWI) has been used operationally at Met &amp;#201;ireann to predict the risk of forest fires in Ireland (Walsh, S, 2006). Although only around 11% or ca 770,000 ha of the total land area of Ireland is afforested, there are also large areas of open mountain and peatlands that are covered in grasses, dwarfshrub and larger woody shrub type vegetation which can provide ready fuel for spring wildfires, when suitable conditions arise. Following winter, much of this vegetation is either dead or has a very low live moisture content, and the flammability of this vegetation can be readily influenced by prevailing weather, most especially following prolonged dry periods. The Department of Agriculture, Food and Marine is the Forest Protection authority in Ireland and issues Fire Danger Notices as part of this work. These notices permit improved preparedness for fire responses and are based on information provided by Met &amp;#201;ireann on the current status of FWI and FWI components using observation data at synoptic stations and the predicted FWI for the next five days ahead based on numerical weather prediction input data.&lt;/p&gt;&lt;p&gt;The FWI is based on&lt;/p&gt;&lt;ul&gt;&lt;li&gt;three different types of forest fuel, ie how quickly these dry out/get rewetted. These are the Fine Fuels Moisture Code (FFMC), the Duff Moisture Code (DMC) and the Drought Code (DC).&lt;/li&gt; &lt;li&gt;components based on fire behaviour: the Initial Spread Index (ISI), the Build-up Index (BUI), and the Fire Weather Index (FWI) which represents fire intensity as energy output rate per unit length of fire front. It is then used to determine the Daily Severity Rating (DSR) of the fire danger.&amp;#160;&lt;/li&gt; &lt;/ul&gt;&lt;p&gt;Of these components, the FFMC and ISI components have been found to provide the most accurate indication of risk under Irish conditions, based on the fuels involved and ignition patterns observed to date.&lt;/p&gt;&lt;p&gt;The DSR was based on a climatology of 1971 to 2005 at the time of operational implantation of the FWI at Met &amp;#201;ireann. An updated climatology based on the new reference period of 1990 to 2020 will be shown as well as the change of the 98 percentiles of extreme rating using this new reference period. &amp;#160;&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Walsh, S.&lt;/strong&gt;&amp;#160;&amp;#8220;Implementation in Ireland of the Canadian Forest Fire Weather Index System.&amp;#8221; In&amp;#160;&lt;em&gt;Making Science Work on the Farm. A Workshop on Decision Support Systems for Irish Agriculture&lt;/em&gt;, 120&amp;#8211;126. Dublin: AGMET, 2007.&amp;#160;&lt;/p&gt;

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