Comparisons of fire weather indices using Canadian raw and homogenized weather data

Tsinko, Y.; Bakhshaii, Atoossa; Johnson, Edward A.; Martin, Y. E.

doi:10.1016/j.agrformet.2018.07.005

Cited by 8 publications

(7 citation statements)

References 55 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Although the 90 th percentile is usually defined as an extreme day threshold (Bedia et al, 2012;Tsinko et al, 2018), the 95 th percentile was chosen because it is more suitable to detect extreme values in relatively long period of analysis. It was computed using data of the same month for the same period of NBA data (1980 -2015).…”

Section: Extreme Daysmentioning

confidence: 99%

Recent evolution of spatial and temporal patterns of burnt areas and fire weather risk in the Iberian Peninsula

Calheiros

Nunes

Pereira

2020

Agricultural and Forest Meteorology

View full text Add to dashboard Cite

The weather is an important driver of the wildfire incidence because it strongly influences fuel availability and flammability. In the Mediterranean climate, the spatial and temporal patterns of fire weather present high variability, which help to understand the variable fire regimes. To assess this link in the Iberian Peninsula and the role of fire weather on fire incidence variability, this work identified pyro-regions, characterized the fire regimes in these regions and compared them with the spatial and seasonal distribution of several components of the Canadian Forest Fire Weather Index (FWI) System. A cluster analysis was performed on monthly normalized burnt area (NBA) series for the 1980 -2015 period in each administrative division of the Iberian Peninsula (Portuguese districts and Spanish provinces), which revealed four pyro-regions (Northwest, North, Southwest and East) as well as significant spatial and temporal variability of NBA patterns. A separate analysis for 1980 -1997 and 1998 -2015 revealed noteworthy changes in the border of pyro-regions caused by changes in NBA seasonal patterns in some administrative regions. The analysis of the fire weather risk distribution for 1980 -2017 included the assessment of extreme fire weather days, defined as days with Daily Severity Rating (DSR) above the 95 th percentile, for the summer fire season, and as days with Drought Code above the 95 th percentile, for the winter-spring fire season. The distribution of the monthly extreme fire weather days is highly correlated with the NBA seasonal variability and explains the differences between seasonal wildfire characteristics and the recent changes in the border administrative regions. The analysis of the fire weather patterns for large wildfires disclosed that these events were linked with extreme DSR days, especially in the NW pyro-region. These findings highlight the strong link between climate variability and fire regimes in the Iberian Peninsula, and can therefore help assess the impacts of climate change and to project future burnt area patterns.

show abstract

Section: Extreme Daysmentioning

confidence: 99%

Recent evolution of spatial and temporal patterns of burnt areas and fire weather risk in the Iberian Peninsula

Calheiros

Nunes

Pereira

2020

Agricultural and Forest Meteorology

View full text Add to dashboard Cite

show abstract

“…These codes and indices are respectively the fine fuel moisture code (FFMC), duff moisture code (DMC), drought code (DC), build-up index (BUI), and initial spread index (ISI). The daily severity rating (DSR) is an additional component of the FWI system, planned to be more directly related to the probable effort required for wildfire suppression, and it is a power conversion of FWI that underlines high FWI values (Tsinko et al 2018). We used the qualitative Forest Fire Danger Rating System as established by Van Wagner (1987) to describe the fire danger as very low, low, moderate, high, very high, or extreme (Table 2).…”

Section: Fwi Codes/indices Prediction and Correlationmentioning

confidence: 99%

Forest Fire Risk Estimation in a Typical Temperate Forest in Northeastern China using the Canadian Forest Fire Weather Index, Case of Autumn 2019 and 2020

Masinda

Liu

et al. 2021

Preprint

View full text Add to dashboard Cite

China's forest cover has increased by about 10% as a result of sustainable forest management since the late 1970s. The forest ecosystems area affected by fire is increasing at the alarming rate of roughly 600.000 ha per year. The northeastern part of China, with a forest cover of 41.6%, has the greatest percentage of acres affected by forest fires. This study combines field and satellite weather data to determine factors that influence dead fuel moisture content (FMC). It assesses the use of the Canadian forest fire weather index (FWI) to determine the daily forest fire danger in a typical temperate forest in northeastern China in the fall season. Based on the Wilcoxon test for paired samples, the observed and predicted values of FMC showed similar variation in 63.6% of sampling sites, with p-value > 0.05; and 36.4 % of sampling sites presented lower predicted values of FMC than observed values, with p-value < 0.05. The Canadian Forest Fire Danger Rating System estimated the fire danger level as very low, low, moderate, high, or very high in our Maoer mountain forest ecosystems.

show abstract

“…Además, los resultados de las Tablas 3 y 4 son coincidentes con Arteaga-Ramírez et al (2017) y Tsinko et al (2018), quienes determinaron diferencias de temperatura entre 0 y ± 2°C al comparar valores de temperatura entre estaciones meteorológicas a una distancia de 1,5 km, obteniendo coeficientes de determinación (R 2 ) superior a 0,9.…”

Section: Análisis De Distancias Entre Las Estaciones Meteorológicas Y La Ubicación De Los áRbolesunclassified

“…La información que aporta una red de EMAs es posible que no represente la realidad de los predios agrícolas, debido a que la distancia o la situación topográfica, pueden alterar el comportamiento de una o más variables. Además, los datos climáticos pueden presentar defectos por la modificación del ambiente que las rodea, como la discontinuidad o errores en el registro, pérdida de la información y poca homogeneidad, lo que se soluciona usando datos de estaciones cercanas y técnicas estadísticas (Tsinko et al, 2018). Por lo anterior, se requiere un procedimiento de control de calidad para un número tan grande de observaciones, y de este modo detectar errores relacionados con la ubicación, mantención, calibración, supervisión, frecuencia de las mediciones o caídas del sistema computacional (Estévez et al, 2016;Lagouvardos et al, 2017;Gentilucci et al, 2018) En Chile, la Red Agroclimática Nacional (RAN) articula 254 estaciones meteorológicas automáticas distribuidas en todo el país, destinadas a entregar información meteorológica a grupos de agricultores preocupados por la creciente inestabilidad climática y los efectos sobre sus rubros productivos (ODEPA, 2013).…”

Section: Introductionunclassified

Validacion De Datos De Estaciones Meteorológicas Automáticas Mediante Monitoreo De Temperatura en Huertos De Manzanos

Quezada¹,

Mercado²,

Bastías³

et al. 2021

Chil. j. agric. anim. sci.

View full text Add to dashboard Cite

El monitoreo de datos agrometeorológicos es útil para prevenir daños a los cultivos, predecir rendimientos y tomar decisiones en beneficio de la producción agrícola. El objetivo de esta investigación fue evaluar la calidad de los datos de temperatura en huertos de manzanos Malus x domestica Borkh. generados por estaciones meteorológicas automáticas (EMAs) en la zona central de Chile. Se usó un diseño completamente al azar en tres huertos. La temperatura fue monitoreada con sensores iButton instalados en el medio de la canopia, en posición interna, central y externa del dosel del árbol, y otro cercano a la EMA del huerto. Los resultados indican que no se presentaron diferencias significativas de temperatura entre los sensores ubicados dentro del dosel del árbol (posición interna, central y externa). Así mismo, el árbol de la hilera de la orilla del huerto presentó diferencias significativas (p ≤ 0,05) con respecto al árbol dela hilera central del huerto. La distancia de la EMA con respecto a los árboles evaluados no tuvo incidencia en la representatividad de los datos y su rango de validación alcanza hasta 5,7 km.

show abstract

Comparisons of fire weather indices using Canadian raw and homogenized weather data

Cited by 8 publications

References 55 publications

Recent evolution of spatial and temporal patterns of burnt areas and fire weather risk in the Iberian Peninsula

Recent evolution of spatial and temporal patterns of burnt areas and fire weather risk in the Iberian Peninsula

Forest Fire Risk Estimation in a Typical Temperate Forest in Northeastern China using the Canadian Forest Fire Weather Index, Case of Autumn 2019 and 2020

Validacion De Datos De Estaciones Meteorológicas Automáticas Mediante Monitoreo De Temperatura en Huertos De Manzanos

Contact Info

Product

Resources

About