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Daily climate data is required to calculate fire index values and also act as drivers for the BIOME-BGC model.
We chose here the Angström, Nesterov and KBDI indices to represent a continuum of fire index types from a simple instantaneous index, to one that includes consideration of precipitation, to a more complex accumulative index with a physical interpretation.
A hypothetically 'perfect' fire index would have its highest values only on days when a fire truly occurs, and thus would plot as a line with an intercept of 100 and a slope of 0, whereas an index of random numbers would approach an intercept of zero and a slope of 100 divided by the total number of fires.
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The flame retardant properties are indicated by significant improvements of limiting oxygen index (LOI) to a value of 27.6% and achievement of UL-94 V-0 rating and remarkable decrease of the fire indexes in cone calorimetry (CC) test.
Fire indices should be expected to reflect the increase in fire ignition risk as climatic (or other) conditions worsen.
For visualization purposes, this plot employs a normalized firing index called the auROC; see 'Materials and methods'.
Different indices, like the Forest fire weather index and the Haines Index, have been developed to predict the areas more at risk to experience fire from natural or human causes.
The development of global versions of existing fire-weather/climate metrics such as the Canadian Fire Weather Index [65], Nesterov Index, or novel metrics such as fire-driven deforestation potential [8], would also inform syntheses of fire patterns at broad scales.
In this paper we consider whether the skill in dynamical seasonal predictions of one of the most widely applied of such indices (the Canadian Fire Weather Index, FWI) is sufficient to inform management decisions, and we examine various methodological aspects regarding the calibration of model outputs prior to its verification and operational applicability.
The model used the indexes and relationships summarized in the Canadian Forest Fire Weather Index System and the Canadian Forest Fire Behavior Prediction System to simulate the interactions among fire events, landscape structures, topography, and weather conditions.
The final output of the FWI system, also called the fire weather index, is used as the main public indicator of overall fire danger in an area and is used to set roadside fire danger or fire risk signs throughout Canada.
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