Articles | Volume 21, issue 7
https://doi.org/10.5194/nhess-21-2169-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/nhess-21-2169-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
19 Jul 2021
Research article |
| 19 Jul 2021
| 19 Jul 2021
Attribution of the role of climate change in the forest fires in Sweden 2018
Folmer Krikken
Royal Netherlands Meteorological Institute (KNMI), Research and Development of Weather and Climate models, De Bilt, Utrecht, The Netherlands
Flavio Lehner
National Centre for Atmospheric Research, Boulder, USA
Karsten Haustein
Environmental Change Institute, University of Oxford, Oxford, United
Kingdom
Igor Drobyshev
Centre for Forest Research, Montreal, Canada
NSERC-UQAT-UQAM, Industrial Chair in Sustainable Forest Management,
Université du Québec, Quebec, Canada
Southern Swedish Forest
Research Centre, Swedish University of Agricultural Sciences, Alnarp, Sweden
Geert Jan van Oldenborgh
CORRESPONDING AUTHOR
Royal Netherlands Meteorological Institute (KNMI), Research and Development of Weather and Climate models, De Bilt, Utrecht, The Netherlands
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Nicola Maher, Adam S. Phillips, Clara Deser, Robert C. Jnglin Wills, Flavio Lehner, John Fasullo, Julie M. Caron, Lukas Brunner, Urs Beyerle, and Jemma Jeffree
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Daniel Gliksman, Paul Averbeck, Nico Becker, Barry Gardiner, Valeri Goldberg, Jens Grieger, Dörthe Handorf, Karsten Haustein, Alexia Karwat, Florian Knutzen, Hilke S. Lentink, Rike Lorenz, Deborah Niermann, Joaquim G. Pinto, Ronald Queck, Astrid Ziemann, and Christian L. E. Franzke
Nat. Hazards Earth Syst. Sci., 23, 2171–2201, https://doi.org/10.5194/nhess-23-2171-2023, https://doi.org/10.5194/nhess-23-2171-2023, 2023
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Carolina Gallo, Jonathan M. Eden, Bastien Dieppois, Igor Drobyshev, Peter Z. Fulé, Jesús San-Miguel-Ayanz, and Matthew Blackett
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Cited articles
Abatzoglou, J. T. and Williams, A. P.: Impact of anthropogenic climate
change on wildfire across western US forests, P. Natl. Acad. Sci. USA, 113,
11770–11775, https://doi.org/10.1073/pnas.1607171113, 2016.
Abatzoglou, J. T., Williams, A. P., and Barbero, R.: Global Emergence of Anthropogenic Climate Change in Fire Weather Indices, Geophys. Res. Lett., 46, 326–336, https://doi.org/10.1029/2018GL080959, 2019.
Balch, J. K., Nepstad, D. C., Brando, P. M., Curran, L. M., Portela, O.,
Carvalho, O. D., and Lefebvre, P.: Negative fire feedback in a transitional
forest of southeastern Amazonia, Glob. Change Biol., 14, 2276–2287,
https://doi.org/10.1111/j.1365-2486.2008.01655.x, 2008.
Balch, J. K., Bradley, B. A., Abatzoglou, J. T., Nagy, R. C., Fusco, E. J.,
and Mahood, A. L.: Human-started wildfires expand the fire niche across the
United States, P. Natl. Acad. Sci. USA, 114, 2946–2951,
https://doi.org/10.1073/pnas.1617394114, 2017.
Copernicus Climate Change Service (C3S): ERA5: Fifth generation of
ECMWF atmospheric reanalyses of the global climate, Copernicus Climate
Change Service Climate Data Store (CDS), available at: https://cds.climate.copernicus.eu/cdsapp#!/home (last access: 15 March 2019), 2017.
Dee, D. P., Uppala, S. M., Simmons, A. J., Berrisford, P., Poli, P.,
Kobayashi, S., Andrae, U., Balmaseda, M. A., Balsamo, G., Bauer, P.,
Bechtold, P., Beljaars, A. C. M., van de Berg, L., Bidlot, J., Bormann, N.,
Delsol, C., Dragani, R., Fuentes, M., Geer, A. J., Haimberger, L., Healy, S.
B., Hersbach, H., Hólm, E. V., Isaksen, L., Kållberg, P.,
Köhler, M., Matricardi, M., McNally, A. P., Monge-Sanz, B. M.,
Morcrette, J.-J., Park, B.-K., Peubey, C., de Rosnay, P., Tavolato, C.,
Thépaut, J.-N., and Vitart, F.: The ERA-Interim reanalysis:
configuration and performance of the data assimilation system, Q. J. Roy.
Meteor. Soc., 137, 553–597, https://doi.org/10.1002/qj.828, 2011.
Drobyshev, I., Niklasson, M., and Linderholm, H. W.: Forest fire activity in
Sweden: Climatic controls and geographical patterns in 20th century, Agric.
For. Meteorol., 154–155, 174–186,
https://doi.org/10.1016/j.agrformet.2011.11.002, 2012.
Drobyshev, I., Granström, A., Linderholm, H. W., Hellberg, E., Bergeron,
Y., and Niklasson, M.: Multi-century reconstruction of fire activity in
Northern European boreal forest suggests differences in regional fire
regimes and their sensitivity to climate, J. Ecol., 102, 738–748,
https://doi.org/10.1111/1365-2745.12235, 2014.
Ehret, U., Zehe, E., Wulfmeyer, V., Warrach-Sagi, K., and Liebert, J.: HESS Opinions ”Should we apply bias correction to global and regional climate model data?”, Hydrol. Earth Syst. Sci., 16, 3391–3404, https://doi.org/10.5194/hess-16-3391-2012, 2012.
Flannigan, M., Cantin, A. S., de Groot, W. J., Wotton, M., Newbery, A., and Gowman, L. M.: Global wildland fire season severity in the 21st century, Forest Ecol. Manag., 294, 54–61, https://doi.org/10.1016/j.foreco.2012.10.022, 2013.
Gardelin, M.: Brandriskprognoser med hjälp av en kanadensisk
skogsbrandsmodell, Räddningsverket Report, Myndigheten för
samhällsskydd och Beredskap (MSB), Sweden, 1997.
Gelaro, R., McCarty, W., Suárez, M. J., Todling, R., Molod, A., Takacs,
L., Randles, C. A., Darmenov, A., Bosilovich, M. G., Reichle, R., Wargan,
K., Coy, L., Cullather, R., Draper, C., Akella, S., Buchard, V., Conaty, A.,
Silva, A. M. da, Gu, W., Kim, G.-K., Koster, R., Lucchesi, R., Merkova, D.,
Nielsen, J. E., Partyka, G., Pawson, S., Putman, W., Rienecker, M.,
Schubert, S. D., Sienkiewicz, M., and Zhao, B.: The Modern-Era Retrospective
Analysis for Research and Applications, Version 2 (MERRA-2), J. Climate, 30,
5419–5454, https://doi.org/10.1175/JCLI-D-16-0758.1, 2017.
Gillett, N. P., Weaver, A. J., Zwiers, F. W., and Flannigan, M. D.:
Detecting the effect of climate change on Canadian forest fires, Geophys.
Res. Lett., 31, L18211, https://doi.org/10.1029/2004GL020876, 2004.
Guillod, B. P., Jones, R. G., Bowery, A., Haustein, K., Massey, N. R., Mitchell, D. M., Otto, F. E. L., Sparrow, S. N., Uhe, P., Wallom, D. C. H., Wilson, S., and Allen, M. R.: weather@home 2: validation of an improved global–regional climate modelling system, Geosci. Model Dev., 10, 1849–1872, https://doi.org/10.5194/gmd-10-1849-2017, 2017.
Haarsma, R. J., Selten, F., Hurk, B. vd, Hazeleger, W., and Wang, X.: Drier
Mediterranean soils due to greenhouse warming bring easterly winds over
summertime central Europe, Geophys. Res. Lett., 36, L04705, https://doi.org/10.1029/2008GL036617, 2009.
Hansen, J., Ruedy, R., Sato, M., and Lo, K.: Global Surface Temperature
Change, Rev. Geophys., 48, RG4004, https://doi.org/10.1029/2010RG000345, 2010.
Hauser, M., Gudmundsson, L., Orth, R., Jézéquel, A., Haustein, K.,
Vautard, R., Oldenborgh, G. J. van, Wilcox, L., and Seneviratne, S. I.:
Methods and Model Dependency of Extreme Event Attribution: The 2015 European
Drought, Earths Future, 5, 1034–1043, https://doi.org/10.1002/2017EF000612,
2017.
Hazeleger, W., Severijns, C., Semmler, T., Ştefănescu, S., Yang, S.,
Wang, X., Wyser, K., Dutra, E., Baldasano, J. M., Bintanja, R., Bougeault,
P., Caballero, R., Ekman, A. M. L., Christensen, J. H., van den Hurk, B.,
Jimenez, P., Jones, C., Kållberg, P., Koenigk, T., McGrath, R., Miranda,
P., Van Noije, T., Palmer, T., Parodi, J. A., Schmith, T., Selten, F.,
Storelvmo, T., Sterl, A., Tapamo, H., Vancoppenolle, M., Viterbo, P., and
Willén, U.: EC-Earth: A Seamless Earth-System Prediction Approach in
Action, B. Am. Meteorol. Soc., 91, 1357–1363,
https://doi.org/10.1175/2010BAMS2877.1, 2010.
Hazeleger, W., Wang, X., Severijns, C., Ştefănescu, S., Bintanja,
R., Sterl, A., Wyser, K., Semmler, T., Yang, S., Hurk, B. van den, Noije, T.
van, Linden, E. van der, and Wiel, K. van der: EC-Earth V2.2: description
and validation of a new seamless earth system prediction model, Clim. Dynam.,
39, 2611–2629, https://doi.org/10.1007/s00382-011-1228-5, 2011.
Herrera, S., Bedia, J., Gutiérrez, J. M., Fernández, J., and Moreno,
J. M.: On the projection of future fire danger conditions with various
instantaneous/mean-daily data sources, Clim. Change, 118, 827–840,
https://doi.org/10.1007/s10584-012-0667-2, 2013.
Ho, C. K., Stephenson, D. B., Collins, M., Ferro, C. A. T., and Brown, S.
J.: Calibration Strategies: A Source of Additional Uncertainty in Climate
Change Projections, B. Am. Meteorol. Soc., 93, 21–26,
https://doi.org/10.1175/2011BAMS3110.1, 2011.
Hudson, B.: Fighting Fire with Fire? Adjusting Regulatory Regimes and Forest
Product Markets to Mitigate Southern United States Wildfire Risk, Social
Science Research Network, Rochester, NY, 2018.
Kay, J. E., Deser, C., Phillips, A., Mai, A., Hannay, C., Strand, G.,
Arblaster, J. M., Bates, S. C., Danabasoglu, G., Edwards, J., Holland, M.,
Kushner, P., Lamarque, J.-F., Lawrence, D., Lindsay, K., Middleton, A.,
Munoz, E., Neale, R., Oleson, K., Polvani, L., and Vertenstein, M.: The
Community Earth System Model (CESM) Large Ensemble Project: A Community
Resource for Studying Climate Change in the Presence of Internal Climate
Variability, B. Am. Meteorol. Soc., 96, 1333–1349,
https://doi.org/10.1175/BAMS-D-13-00255.1, 2014.
Kirchmeier-Young, M. C., Gillett, N. P., Zwiers, F. W., Cannon, A. J., and
Anslow, F. S.: Attribution of the Influence of Human-Induced Climate Change
on an Extreme Fire Season, Earths Future, 7, 2–10, https://doi.org/10.1029/2018EF001050, 2018.
Kobayashi, S., Ota, Y., Harada, Y., Ebita, A., Moriya, M., Onoda, H., Onogi,
K., Kamahori, H., Kobayashi, C., Endo, H., Miyaoka, K., and Takahashi, K.:
The JRA-55 Reanalysis: General Specifications and Basic Characteristics, J.
Meteorol. Soc. Jpn. Ser II, 93, 5–48,
https://doi.org/10.2151/jmsj.2015-001, 2015.
Lehtonen, I., Venäläinen, A., Kämäräinen, M., Peltola, H., and Gregow, H.: Risk of large-scale fires in boreal forests of Finland under changing climate, Nat. Hazards Earth Syst. Sci., 16, 239–253, https://doi.org/10.5194/nhess-16-239-2016, 2016.
Lewis, S. C., Blake, S. A. P., Trewin, B., Black, M. T., Dowdy, A. J.,
Perkins-Kirkpatrick, S. E., King, A. D., and Sharples, J. J.: Deconstructing
Factors Contributing to the 2018 Fire Weather in Queensland, Australia,
B. Am. Meteorol. Soc., 101, S115–S122,
https://doi.org/10.1175/BAMS-D-19-0144.1, 2020.
Massey, N., Jones, R., Otto, F. E. L., Aina, T., Wilson, S., Murphy, J. M.,
Hassell, D., Yamazaki, Y. H., and Allen, M. R.: weather@home – development
and validation of a very large ensemble modelling system for probabilistic
event attribution, Q. J. Roy. Meteorol. Soc., 141, 1528–1545,
https://doi.org/10.1002/qj.2455, 2015.
Moreira, F. and Pe'er, G.: Agricultural policy can reduce wildfires,
Science, 359, 1001–1001, https://doi.org/10.1126/science.aat1359, 2018.
MSB: Incident reports from municipal fire brigades, Swedish Civ. Conting. Agency (Myndigheten för samhällsskydd och Beredsk in Swedish), available at: https://www.msb.se/ (last access: 3 February 2019), 2017.
Oldenborgh, G. J. van, Wiel, K. van der, Sebastian, A., Singh, R., Arrighi,
J., Otto, F., Haustein, K., Li, S., Vecchi, G., and Cullen, H.: Attribution
of extreme rainfall from Hurricane Harvey, August 2017, Environ. Res. Lett.,
12, 124009, https://doi.org/10.1088/1748-9326/aa9ef2, 2017.
Pendergrass, A. G., Knutti, R., Lehner, F., Deser, C., and Sanderson, B. M.:
Precipitation variability increases in a warmer climate, Sci. Rep., 7,
17966, https://doi.org/10.1038/s41598-017-17966-y, 2017.
Pfleiderer, P. and Coumou, D.: Quantification of temperature persistence over the Northern Hemisphere land-area, Clim. Dyn., 51, 627–637, https://doi.org/10.1007/s00382-017-3945-x, 2018.
Riahi, K., Rao, S., Krey, V., Cho, C., Chirkov, V., Fischer, G., Kindermann,
G., Nakicenovic, N., and Rafaj, P.: RCP 8.5 – A scenario of comparatively
high greenhouse gas emissions, Clim. Change, 109, 33,
https://doi.org/10.1007/s10584-011-0149-y, 2011.
Schiermeier, Q.: Droughts, heatwaves and floods: How to tell when climate
change is to blame, Nature, 560, 20–22,
https://doi.org/10.1038/d41586-018-05849-9, 2018.
Sippel, S., Otto, F. E. L., Flach, M., and van Oldenborgh, G. J.: The Role
of Anthropogenic Warming in 2015 Central European Heat Waves, B. Am.
Meteorol. Soc., 97, S51–S56, https://doi.org/10.1175/BAMS-D-16-0150.1,
2016.
Taufik, M., Torfs, P. J. J. F., Uijlenhoet, R., Jones, P. D., Murdiyarso,
D., and Van Lanen, H. A. J.: Amplification of wildfire area burnt by
hydrological drought in the humid tropics, Nat. Clim. Change, 7, 428–431,
https://doi.org/10.1038/nclimate3280, 2017.
Turco, M., Bedia, J., Liberto, F. D., Fiorucci, P., Hardenberg, J. von,
Koutsias, N., Llasat, M.-C., Xystrakis, F., and Provenzale, A.: Decreasing
Fires in Mediterranean Europe, PLOS ONE, 11, e0150663,
https://doi.org/10.1371/journal.pone.0150663, 2016.
Van Wagner, C. E.: Development and structure of the Canadian forest fire index system, Forestry Technical Report, Canadian Forestry Service Headquarters, Ottawa, 1987.
Vautard, R., van Oldenborgh, G. J., Otto, F. E. L., Yiou, P., de Vries, H., van Meijgaard, E., Stepek, A., Soubeyroux, J.-M., Philip, S., Kew, S. F., Costella, C., Singh, R., and Tebaldi, C.: Human influence on European winter wind storms such as those of January 2018, Earth Syst. Dynam., 10, 271–286, https://doi.org/10.5194/esd-10-271-2019, 2019.
van der Wiel, K., Kapnick, S. B., van Oldenborgh, G. J., Whan, K., Philip, S., Vecchi, G. A., Singh, R. K., Arrighi, J., and Cullen, H.: Rapid attribution of the August 2016 flood-inducing extreme precipitation in south Louisiana to climate change, Hydrol. Earth Syst. Sci., 21, 897–921, https://doi.org/10.5194/hess-21-897-2017, 2017.
Williams, A. P., Abatzoglou, J. T., Gershunov, A., Guzman-Morales, J.,
Bishop, D. A., Balch, J. K., and Lettenmaier, D. P.: Observed Impacts of
Anthropogenic Climate Change on Wildfire in California, Earths Future, 7,
892–910, https://doi.org/10.1029/2019EF001210, 2019.
Wotton, B. M.: Interpreting and using outputs from the Canadian Forest Fire
Danger Rating System in research applications, Environ. Ecol. Stat., 16,
107–131, https://doi.org/10.1007/s10651-007-0084-2, 2009.
Yang, W., Gardelin, M., Olsson, J., and Bosshard, T.: Multi-variable bias correction: application of forest fire risk in present and future climate in Sweden, Nat. Hazards Earth Syst. Sci., 15, 2037–2057, https://doi.org/10.5194/nhess-15-2037-2015, 2015.
Short summary
In this study, we analyse the role of climate change in the forest fires that raged through large parts of Sweden in the summer of 2018 from a meteorological perspective. This is done by studying observationally constrained data and multiple climate models. We find a small reduced probability of such events, based on reanalyses, but a small increased probability due to global warming up to now and a more robust increase in the risk for such events in the future, based on climate models.
In this study, we analyse the role of climate change in the forest fires that raged through...
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