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Selection: with tag fire-behavior-prediction [4 articles] 

 

Review of formal methodologies for wind-slope correction of wildfire rate of spread

  
International Journal of Wildland Fire, Vol. 17, No. 2. (2008), 179, doi:10.1071/wf06156

Abstract

The effects of wind and topographic slope are important considerations when determining the rate and direction of spread of wildfires. Accordingly, most models used to predict the direction and rate of spread contain components designed to account for these effects. Over the years, a variety of different approaches have been developed. In the present manuscript, we examine the various mathematical models employed to account for the effects of wind and slope at a formal level, making comparisons where appropriate. The methods ...

 

Enormous wildfires spark scramble to improve fire models

  
Nature, Vol. 561, No. 7721. (31 August 2018), pp. 16-17, doi:10.1038/d41586-018-06090-0

Abstract

Blazes in North America are becoming larger and more powerful. [Excerpt] [...] “Something is definitely different, and it raises questions about how much we really know,” says Max Moritz, a fire scientist at the University of California, Santa Barbara. [...] Researchers have been at a loss to explain a flurry of unusual fire behaviour in California in recent years: wildfires that burn hot throughout the night instead of settling down, as many used to; blazes that race down hillsides faster than before; ...

 

cffdrs: an R package for the Canadian Forest Fire Danger Rating System

  
Ecological Processes, Vol. 6, No. 1. (31 January 2017), 5, doi:10.1186/s13717-017-0070-z

Abstract

[Introduction] The Canadian Forest Fire Danger Rating System (CFFDRS) is a globally known wildland fire risk assessment system, and two major components, the fire weather index system and the fire behavior prediction system, have been extensively used both nationally and internationally to aid operational wildland fire decision making. [Methods] In this paper, we present an overview of an R package cffdrs, which is developed to calculate components of the CFFDRS, and highlight some of its functionality. In particular, we demonstrate how these functions could ...

 

(INRMM-MiD internal record) List of keywords of the INRMM meta-information database - part 15

  
(February 2014)
Keywords: fao-ecozones   faostat   fapar   fear-vs-disgust   feather-moss   featured-publication   feedback   feedforward-networks   felis-silvestris   fennoscandia   fertile-islands   fertility   fertilization   ficus-altissima   ficus-aurea   ficus-benghalensis   ficus-carica   ficus-citrifolia   ficus-elastica   ficus-macrophylla   ficus-religiosa   field-measurements   filbert   financial-modelling   fine-fuel-moisture-content   fine-roots   finland   fir-decline   fire   fire-behavior-prediction   fire-causes   fire-damage   fire-danger   fire-danger-rating   fire-ecology   fire-emissions   fire-exposure   fire-frequency   fire-fuel   fire-hazard   fire-management   fire-occurrence   fire-regimes   fire-season   fire-severity   fire-weather-index   fise   fish-resources   fishes   fitness   fitzroya-cupressoides   flagship-species   flammability   flash-flood   flavescence-doree-phytoplasma   fleshy-fruit   flood-control   flood-frequency   flood-tolerance   flooding-tolerance   floodplain   floodplain-forest   floods   flora   floss   flow-accumulation   flowering-period   flowering-phenology   fluvial   fluxnet   fodder-tree   foliage   food-plant   food-security   food-web   forecast   forest-bioeconomy   forest-biomass   forest-breeze   forest-classification   forest-communities   forest-conservation   forest-conversion   forest-cover   forest-damage   forest-degradation   forest-disturbance   forest-dynamics   forest-ecology   forest-ecosystem   forest-ecosystems   forest-edges   forest-fires   forest-floor-low-light-availability   forest-focus   forest-focus-monitoring   forest-inventories   forest-land-reclamation   forest-loss   inrmm-list-of-tags  

Abstract

List of indexed keywords within the transdisciplinary set of domains which relate to the Integrated Natural Resources Modelling and Management (INRMM). In particular, the list of keywords maps the semantic tags in the INRMM Meta-information Database (INRMM-MiD). [\n] The INRMM-MiD records providing this list are accessible by the special tag: inrmm-list-of-tags ( http://mfkp.org/INRMM/tag/inrmm-list-of-tags ). ...

This page of the database may be cited as:
Integrated Natural Resources Modelling and Management - Meta-information Database. http://mfkp.org/INRMM/tag/fire-behavior-prediction

Publication metadata

Bibtex, RIS, RSS/XML feed, Json, Dublin Core

Meta-information Database (INRMM-MiD).
This database integrates a dedicated meta-information database in CiteULike (the CiteULike INRMM Group) with the meta-information available in Google Scholar, CrossRef and DataCite. The Altmetric database with Article-Level Metrics is also harvested. Part of the provided semantic content (machine-readable) is made even human-readable thanks to the DCMI Dublin Core viewer. Digital preservation of the meta-information indexed within the INRMM-MiD publication records is implemented thanks to the Internet Archive.
The library of INRMM related pubblications may be quickly accessed with the following links.
Search within the whole INRMM meta-information database:
Search only within the INRMM-MiD publication records:
Full-text and abstracts of the publications indexed by the INRMM meta-information database are copyrighted by the respective publishers/authors. They are subject to all applicable copyright protection. The conditions of use of each indexed publication is defined by its copyright owner. Please, be aware that the indexed meta-information entirely relies on voluntary work and constitutes a quite incomplete and not homogeneous work-in-progress.
INRMM-MiD was experimentally established by the Maieutike Research Initiative in 2008 and then improved with the help of several volunteers (with a major technical upgrade in 2011). This new integrated interface is operational since 2014.