A lightning-caused wildfire ignition forecasting model for operational use-Reference-Cited by-同舟云学术

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A lightning-caused wildfire ignition forecasting model for operational use

Published:2018-05 Issue: Volume:253-254 Page:233-246
ISSN:0168-1923
Container-title:Agricultural and Forest Meteorology
language:en
Short-container-title:Agricultural and Forest Meteorology

Author:

Read Nicholas,Duff Thomas J.,Taylor Peter G.

Funder

Bushfire and Natural Hazards Cooperative Research Centre

Department of Environment, Land, Water and Planning

Australian Research Council

ARC Centre of Excellence for the Mathematical and Statistical Frontiers

Publisher

Elsevier BV

Subject

Atmospheric Science,Agronomy and Crop Science,Global and Planetary Change,Forestry

Reference54 articles.

1. Vapor pressure calculation methods;Abtew,2013

2. Ambler, original by G., Benner, modified by A. 2015. mfp: Multivariable Fractional Polynomials.

3. A model to predict lightning-caused fire occurrences;Anderson;Int. J. Wildland Fire,2002

4. Comparison between splines and fractional polynomials for multivariable model building with continuous covariates: a simulation study with continuous response;Binder;Stat. Med.,2013

5. Prediction of the probability of large fires in the Sydney region of south-eastern Australia using fire weather;Bradstock;Int. J. Wildland Fire,2009

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1. Continuous wildfires threaten public and ecosystem health under climate change across continents;Frontiers of Environmental Science & Engineering;2024-07-19

2. A Forest Fire Prediction Method for Lightning Stroke Based on Remote Sensing Data;Forests;2024-04-02

3. Lightning-Induced Wildfires: An Overview;Fire;2024-03-02

4. Linkage Between the Forest Fires and the Meteorological Parameters During the Current Climatic Regime Using Spatial Clustering, Regression, and Combination Matrix Analysis;Geo-information for Disaster Monitoring and Management;2024

5. Improvement of human-induced wildfire occurrence modeling from a spatial variation of anthropogenic ignition factor in the CLM5;Environmental Research Letters;2023-09-01

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