Comparing methods of predicting Jack pine slash moisture

1982 ◽  
Vol 12 (4) ◽  
pp. 793-802 ◽  
Author(s):  
A. J. Simard ◽  
W. A. Main
Keyword(s):  
The United States ◽  
Jack Pine ◽  
Rating System ◽  
Fire Weather ◽  
Weather Index ◽  
Fire Weather Index ◽  
Moisture Contents ◽  
Dry Conditions ◽  
Fine Fuels ◽  
Meteorological Elements

Moisture contents of fine fuels, litter, and duff from jack pine slash were recorded for three summers and compared with meteorological elements, the United States National Fire-Danger Rating System (NFDRS) roundwood moisture models, and the Canadian Forest Fire Weather Index (FWI) litter and duff moisture models. Predictions from the FWI models and some meteorological elements were superior to the NFDRS models for every fuel tested. It appears that the FWI models are well suited to moist climates, whereas the NFDRS models work better under dry conditions.

Predicting fuel moisture in jack pine slash: a test of two systems

1984 ◽  
Vol 14 (1) ◽  
pp. 68-76 ◽  
Author(s):  
Albert J. Simard ◽  
James E. Eenigenburg ◽  
Richard W. Blank
Keyword(s):  
Predictive Accuracy ◽  
Jack Pine ◽  
Rating System ◽  
Fire Weather ◽  
Regression Equations ◽  
Fuel Moisture ◽  
Wood Moisture ◽  
Weather Index ◽  
Fire Weather Index ◽  
Moisture Profiles

Observed jack pine (Pinusbanksiana Lamb.) slash moisture was compared with U.S. National Fire-Danger Rating System (NFDRS) and Canadian Fire Weather Index (FWI) predictions. The NFDRS models underestimated wood and foliage moisture; the FWI models overestimated wood moisture but were accurate for foliage moisture. Differences in predictive accuracy between the two sets of regression equations were not significant. The NFDRS equations were somewhat more data dependent, however, and their residuals tended to be biased. Significant differences in moisture profiles were noted among three fuel size classes, between fuels with and without bark, and between litter and needles. Differences between fuels on the ground and above the ground were not significant. The results should be applicable to most fuels influenced by moist climates.

Prediction of forest-floor moisture content under diverse jack pine canopy conditions

1989 ◽  
Vol 19 (11) ◽  
pp. 1483-1487 ◽  
Author(s):  
Z. Chrosciewicz
Keyword(s):  
Forest Floor ◽  
Mineral Soil ◽  
Jack Pine ◽  
Fuel Moisture ◽  
Weather Index ◽  
Fire Weather Index ◽  
Moisture Contents ◽  
Straight Line ◽  
Best Fitting ◽  
Pure Surface

Moisture contents of organic forest-floor materials were studied by strata in a semimature jack pine (Pinusbanksiana Lamb.) stand in relation to their within-stand locations and changes in both duff moisture code and fine fuel moisture code, the two weather-based components of the Canadian Forest Fire Weather Index System. The resulting best-fitting curvilinear regressions (Y = aebX) of the duff moisture code showed distinctive patterns of variation so that both the surface and subsurface forest-floor strata were consistently more moist in stand openings than under stand canopy. An initial moisture inversion between the surface and subsurface forest-floor materials manifested itself near the start of the regressions wherever live Schreber's moss (Pleuroziumschreberi (Brit.) Mitt.) and litter were the combined surface materials; otherwise, pure surface litter was consistently drier than the subsurface materials. Combinations of all these materials down to mineral soil showed intermediate moisture contents both in stand openings and under stand canopy. In contrast, the best-fitting regressions of the fine fuel moisture code just for surface forest-floor strata were of the straight line (Y = a + bX) category and had generally lower r2 values than those for the corresponding curvilinear regressions (Y = aebX) of the duff moisture code.

An index for tracking sheltered forest floor moisture within the Canadian Forest Fire Weather Index System

2005 ◽  
Vol 14 (2) ◽  
pp. 169 ◽  
Author(s):  
B. M. Wotton ◽  
B. J. Stocks ◽  
D. L. Martell
Keyword(s):  
Moisture Content ◽  
Forest Fire ◽  
Forest Floor ◽  
Jack Pine ◽  
Fire Weather ◽  
Moisture Index ◽  
Northern Ontario ◽  
Weather Index ◽  
Fire Weather Index ◽  
Overstory Trees

The Duff Moisture Code (DMC) component of the Canadian Forest Fire Weather Index (FWI) System is used by fire management agencies across Canada as an indicator of the susceptibility of the forest floor to lightning fire ignition. However, this model was developed for the moisture content of the forest floor away from the sheltering influences of overstory trees, an area where lightning strikes usually ignite the forest floor. Through destructive sampling of the forest floor in a mature jack pine stand in northern Ontario over several summers, the moisture content of the forest floor in sheltered areas close to the boles of dominant overstory trees was found to be significantly lower than in other less heavily sheltered areas of the stand. Observations from a network of in-stand rain gauges revealed that rainfall penetration through the canopy (throughfall) was correlated with both open rainfall amount and the duration of a storm. Observed throughfall amounts were used to develop a throughfall relationship for extremely sheltered locations (within ~0.5 m of the boles) in a mature jack pine stand. This throughfall model was used, along with differences in forest floor drying rate, to develop a new duff moisture index for strongly sheltered areas of the forest floor. Calculated values of this new moisture model, which has the same daily weather observation requirements as the FWI System’s DMC model, were found to match observed moisture contents quite well.

Reanalysis of ECMWF data for updating the Fire Weather Index for the Indonesia Fire Danger Rating System (InaFDRS)

2021 ◽  
Author(s):  
Andri Purwandani ◽  
Marina C. G. Frederik ◽  
Reni Sulistyowati ◽  
Lena Sumargana ◽  
Fanny Meliani ◽  
...  
Keyword(s):  
Fire Danger ◽  
Rating System ◽  
Fire Weather ◽  
Weather Index ◽  
Fire Weather Index ◽  
Fire Danger Rating System

Relationships between the moisture content of fine woody fuels in lodgepole pine slash and the Fine Fuel Moisture Code of the Canadian Forest Fire Weather Index System

1988 ◽  
Vol 18 (1) ◽  
pp. 128-131 ◽  
Author(s):  
R. Trowbridge ◽  
M. C. Feller
Keyword(s):  
Moisture Content ◽  
Forest Fire ◽  
Index System ◽  
Lodgepole Pine ◽  
Fire Season ◽  
Fire Weather ◽  
Fuel Moisture ◽  
Weather Index ◽  
Fire Weather Index ◽  
Moisture Contents

Unsuccessful attempts to ignite slash resulting from the mechanical knocking down of lodgepole pine in west central British Columbia led to a short-term investigation of the relationship between the Fine Fuel Moisture Code of the Canadian Forest Fire Weather Index System and the moisture content of various fine fuel components <1 cm in diameter. Of the types of fuel sampled, the moisture contents of B.C. Forest Service fuel moisture sticks and aged slash were similar to, and well correlated (r = 0.79 and 0.81, respectively) with, the equivalent moisture content calculated from the Fine Fuel Moisture Code. The Fine Fuel Moisture Code was not designed to relate to the moisture content of uncured fuels. Thus, the moisture contents of fresh living slash (material from knocked down trees still attached to living roots) and of fresh dead slash (material unattached to living trees that had not yet experienced a complete fire season in which to fully cure) were poorly correlated with moisture content (r = 0.16 and 0.42, respectively). The moisture content of the progressively curing, needle-bearing fresh dead slash was relatively high at the beginning of the fire season, but became similar to the moisture content during the first half of July. This suggests that the Fine Fuel Moisture Code can also be used to predict the moisture content of such fine slash after these fuels have cured for approximately 3 months during the snow-free period.

scholarly journals APLICACIÓN DEL ÍNDICE METEOROLÓGICO DE INCENDIOS CANADIENSE EN UN PARQUE NACIONAL DEL CENTRO DE MÉXICO

2019 ◽  
Vol 3 (11) ◽  
pp. 25-40 ◽  
Author(s):  
Lourdes Villers-Ruiz ◽  
Emilio Chuvieco ◽  
Inmaculada Aguado
Keyword(s):  
Forest Fire ◽  
Fire Danger ◽  
Rating System ◽  
Fire Weather ◽  
Weather Index ◽  
Fire Weather Index ◽  
Fire Danger Rating System ◽  
Para Determinar ◽  
Forest Fire Danger

Entre los sistemas de alerta temprana de incendios forestales destaca el desarrollado por el Servicio Forestal de Canadá, denominado Fire Weather Index (FWI). Con el fin de contribuir a la creación de un sistema de alerta temprana, se utilizó este índice para determinar las condiciones de peligro a incendios en el Parque Nacional Malinche a partir de una serie de datos diarios de enero 2004 a octubre 2009 de cinco estaciones meteorológicas automáticas instaladas en el parque a una altitud de 3,000 m, se hicieron los cálculos de los elementos que contiene el índice; para ello, se empleó la versión automatizada del Canadian Forest Fire Danger Rating System. Se realizaron correlaciones y se crearon cuatro categorías con los valores de los componentes, según la frecuencia de incendios y el área siniestrada. También, se señalaron, los valores de temperatura máxima y mínima, humedad relativa y lluvia por categoría. Se constituyeron los umbrales mínimos de gran peligrosidad a incendios para cada uno de los elementos. En el caso del código de humedad de los combustibles finos, el umbral se estableció en 80 puntos; de superarse este valor, el número de incendios por día se incrementa sustancialmente. El código de sequía, el Índice de dispersión inicial del fuego; así como, el Índice acumulado fueron los más significativos en relación a la frecuencia de incendios, por lo que se calculó la probabilidad de estos eventos, para ciertos intervalos de los elementos considerados.

scholarly journals Development of Google Earth Engine Fire Weather Index Calculator for Indonesian Fire Danger Rating System

2021 ◽  
Vol 936 (1) ◽  
pp. 012040
Author(s):  
J S Matondang ◽  
H Sanjaya ◽  
R Arifandri
Keyword(s):  
Google Earth ◽  
Fire Danger ◽  
Rating System ◽  
Weather Data ◽  
Fire Weather ◽  
Weather Index ◽  
Fire Weather Index ◽  
Weather Stations ◽  
Google Earth Engine ◽  
Fire Danger Rating System

Abstract Tropical peatlands make up almost ten percent of the land surface in Indonesia, making peat fires detrimental not only for global atmospheric carbon levels, but also to public health and socioeconomic activities in the region. Indonesian Fire Danger Rating System (FDRS) was developed based on the Canadian Forest Fire Weather Index System (CFFWIS), using three different fuel codes and three indices representing fire behaviour. Daily Fire Weather Index (FWI) calculation is done by the Meteorological Climatological and Geophysical Agency (BMKG) with data from its synoptic weather stations network. Distribution of such weather stations are sparse, therefore this paper reports on the development of Fire Weather Index calculator on Google Earth Engine, using high resolution weather data, provided by weather model and remote-sensing open datasets. The resulting application is capable of generating daily maps of FWI components to be used by the Indonesian Fire Danger Rating System.

scholarly journals Combining fire radiative power observations with the fire weather index improves the estimation of fire emissions

2017 ◽  
Author(s):  
Francesca Di Giuseppe ◽  
Samuel Rémy ◽  
Florian Pappenberger ◽  
Fredrik Wetterhall
Keyword(s):  
Biomass Burning ◽  
Atmospheric Composition ◽  
Composition Analysis ◽  
Fire Weather ◽  
Atmospheric Conditions ◽  
Weather Index ◽  
Fire Weather Index ◽  
Fire Emissions ◽  
Radiative Power ◽  
Fire Radiative Power

Abstract. The atmospheric composition analysis and forecast for the European Copernicus Atmosphere Monitoring Services (CAMS) relies on biomass burning fire emission estimates from the Global Fire Assimilation System (GFAS). GFAS converts fire radiative power (FRP) observations from MODIS satellites into smoke constituents. Missing observations are filled in using persistence where observed FRP from the previous day are progressed in time until a new observation is recorded. One of the consequences of this assumption is an overestimation of fire duration, which in turn translates into an overestimation of emissions from fires. In this study persistence is replaced by modelled predictions using the Canadian Fire Weather Index (FWI), which describes how atmospheric conditions affect the vegetation moisture content and ultimately fire duration. The skill in predicting emissions from biomass burning is improved with the new technique, which indicates that using an FWI-based model to infer emissions from FRP is better than persistence when observations are not available.

Fire-Weather Index and Climate Change

2020 ◽  
pp. 45-63 ◽  
Author(s):  
Zuzana Hubnerova ◽  
Sylvia Esterby ◽  
Steve Taylor
Keyword(s):  
Climate Change ◽  
Fire Weather ◽  
Weather Index ◽  
Fire Weather Index
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