Articles | Volume 14, issue 11
https://doi.org/10.5194/gmd-14-7175-2021
https://doi.org/10.5194/gmd-14-7175-2021
Model description paper
 | 
25 Nov 2021
Model description paper |  | 25 Nov 2021

Globally consistent assessment of economic impacts of wildfires in CLIMADA v2.2

Samuel Lüthi, Gabriela Aznar-Siguan, Christopher Fairless, and David N. Bresch

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Cited articles

Abatzoglou, J. T. and Williams, A. P.: Impact of anthropogenic climate change on wildfire across western US forests, Proceedings of the National Academy of Sciences, National Acad. Sciencesm., 113, 11770–11775, ISBN 0027-8424, 2016. a
Abram, N. J., Henley, B. J., Sen Gupta, A., Lippmann, T. J. R., Clarke, H., Dowdy, A. J., Sharples, J. J., Nolan, R. H., Zhang, T., Wooster, M. J., Wurtzel, J. B., Meissner, K. J., Pitman, A. J., Ukkola, A. M., Murphy, B. P., Tapper, N. J., and Boer, M. M.: Connections of climate change and variability to large and extreme forest fires in southeast Australia, Communications Earth & Environment, 2, 8, https://doi.org/10.1038/s43247-020-00065-8, 2021. a
Aznar-Siguan, G. and Bresch, D. N.: CLIMADA v1: a global weather and climate risk assessment platform, CLIMADA v1, Geosci. Model Dev., 12, 3085–3097, https://doi.org/10.5194/gmd-12-3085-2019, 2019. a, b, c, d
Aznar, G., Eberenz, S., Steinmann, C. B., Vogt, T., Roosli, T. ingajsa, Lüthi, S., Evelyn-M, Hartman, J., emanuel-schmid, Guillod, B. P., Stalhandske, Z., Ciullo, A., Kropf, C., Bresch, D. N., Pui Man (Mannie) Kam, wjan262, Fairless, C., Meiler, S., and DarioStocker: CLIMADA-project/climada_python: v2.2.0 (v2.2.0), Zenodo [code], https://doi.org/10.5281/zenodo.5084352, 2021. a
Bakkensen, L. A., Shi, X., and Zurita, B. D.: The Impact of Disaster Data on Estimating Damage Determinants and Climate Costs, Econ. Dis. Cli. Cha., 2, 49–71, https://doi.org/10.1007/s41885-017-0018-x, 2018. a
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In light of the dramatic increase in economic impacts due to wildfires, the need for modelling impacts of wildfire damage is ever increasing. Insurance companies, households, humanitarian organisations and governmental authorities are worried by climate risks. In this study we present an approach to modelling wildfire impacts using the open-source modelling platform CLIMADA. All input data are free, public and globally available, ensuring applicability in data-scarce regions of the Global South.
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