Articles | Volume 15, issue 9
https://doi.org/10.5194/nhess-15-2037-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/nhess-15-2037-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Multi-variable bias correction: application of forest fire risk in present and future climate in Sweden
Swedish Meteorological and Hydrological Institute, Norrköping, Sweden
M. Gardelin
Swedish Meteorological and Hydrological Institute, Norrköping, Sweden
J. Olsson
Swedish Meteorological and Hydrological Institute, Norrköping, Sweden
T. Bosshard
Swedish Meteorological and Hydrological Institute, Norrköping, Sweden
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37 citations as recorded by crossref.
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36 citations as recorded by crossref.
- Human activity and demographics drive the fire regime in a highly developed European boreal region J. Sjöström & A. Granström 10.1016/j.firesaf.2023.103743
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- “This community will grow” — little concern for future wildfires in a dry and increasingly hotter Swedish rural community K. Eriksson et al. 10.1007/s10113-024-02227-2
- Interaction of elevation and climate change on fire weather risk D. Spittlehouse & C. Dymond 10.1139/cjfr-2021-0137
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- Natural hazards and extreme events in the Baltic Sea region A. Rutgersson et al. 10.5194/esd-13-251-2022
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- Managing the equilibrium state of housing affordability A. Kirillova et al. 10.1051/e3sconf/202016410047
- Opening Pandora's box: reducing global circulation model uncertainty in Australian simulations of the carbon cycle L. Teckentrup et al. 10.5194/esd-14-549-2023
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- Typical and extreme weather datasets for studying the resilience of buildings to climate change and heatwaves A. Machard et al. 10.1038/s41597-024-03319-8
- Projected changes in forest fire season, the number of fires, and burnt area in Fennoscandia by 2100 O. Kinnunen et al. 10.5194/bg-21-4739-2024
- Physical characteristics of the thermal impact of an emergency fire V. Tumanov et al. 10.1088/1742-6596/1614/1/012074
- Climate indices for the tailoring of climate information – A systematic literature review of Swedish forestry and agriculture L. Wiréhn 10.1016/j.crm.2021.100370
- Soil phosphorus forms show only minor changes across a 5000-year-old boreal wildfire chronosequence A. Vincent et al. 10.1007/s10533-022-00910-2
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- Risk of large-scale fires in boreal forests of Finland under changing climate I. Lehtonen et al. 10.5194/nhess-16-239-2016
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- Impact of bias nonstationarity on the performance of uni- and multivariate bias-adjusting methods: a case study on data from Uccle, Belgium J. Van de Velde et al. 10.5194/hess-26-2319-2022
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- An intercomparison of a large ensemble of statistical downscaling methods over Europe: Results from the VALUE perfect predictor cross‐validation experiment J. Gutiérrez et al. 10.1002/joc.5462
- Projections of fire danger under climate change over France: where do the greatest uncertainties lie? H. Fargeon et al. 10.1007/s10584-019-02629-w
- Direct and component-wise bias correction of multi-variate climate indices: the percentile adjustment function diagnostic tool A. Casanueva et al. 10.1007/s10584-018-2167-5
- Appropriateness of Potential Evapotranspiration Models for Climate Change Impact Analysis in Yarlung Zangbo River Basin, China S. Pan et al. 10.3390/atmos10080453
- The VALUE perfect predictor experiment: Evaluation of temporal variability D. Maraun et al. 10.1002/joc.5222
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- Garden structure is critical for building survival in northern forest fires – An analysis using large Swedish wildfires F. Vermina Plathner et al. 10.1016/j.ssci.2022.105928
1 citations as recorded by crossref.
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Short summary
A distribution-based scaling approach was developed and proven useful as a post-process to correct systematic biases in climate modelling outputs (i.e. precipitation, temperature, relative humidity and wind speed) to facilitate the utilisation of climate projections in forest fire risk studies. The result showed reduction of bias in forcing data and an improved description of fire-risk-related indices. Concerning the future climate, southern Sweden is likely to become a more fire-prone region.
A distribution-based scaling approach was developed and proven useful as a post-process to...
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