Articles | Volume 16, issue 1
https://doi.org/10.5194/nhess-16-239-2016
© Author(s) 2016. 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-16-239-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
21 Jan 2016
Research article |
| 21 Jan 2016
Risk of large-scale fires in boreal forests of Finland under changing climate
Finnish Meteorological Institute, Helsinki,
Finland
A. Venäläinen
Finnish Meteorological Institute, Helsinki,
Finland
M. Kämäräinen
Finnish Meteorological Institute, Helsinki,
Finland
H. Peltola
University of Eastern Finland, School of Forest Sciences,
Joensuu, Finland
H. Gregow
Finnish Meteorological Institute, Helsinki,
Finland
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A comparison of forest damage with windstorm intensity in Finland suggests that the volume of forest damage follows approximately a power relation as a function of wind gust speed with a power of ~10. This tentative estimate holds for typical windstorms having mainly westerly winds and affecting large areas in southern and central parts of Finland. The estimate can be utilized when preparing impact-based predictions of windstorms.
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Wintertime bearing capacity on different forest soils with respect to timber harvesting in the projected future climate of Finland was estimated by using a soil temperature model and a wide set of downscaled climate model simulations. The results indicate that, particularly, drained peatlands may virtually lack soil frost over large areas in most of winters during the late 21st century. There is thus a clear need to develop new sustainable and efficient logging practices for peatland forests.
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The rapidly growing forest-based bioeconomy calls for increasing wood harvesting intensity, and an increase in thinning and a final felling area. This may increase wind damage risks at the upwind edges of new cleared felling areas and thinned stands. Efficient wind risk assessment is needed. We demonstrate a pragmatic and computationally feasible method for identifying at a high spatial resolution those locations having the highest forest wind damage risks.
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Nat. Hazards Earth Syst. Sci., 16, 2259–2271, https://doi.org/10.5194/nhess-16-2259-2016, https://doi.org/10.5194/nhess-16-2259-2016, 2016
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Jessica L. McCarty, Juha Aalto, Ville-Veikko Paunu, Steve R. Arnold, Sabine Eckhardt, Zbigniew Klimont, Justin J. Fain, Nikolaos Evangeliou, Ari Venäläinen, Nadezhda M. Tchebakova, Elena I. Parfenova, Kaarle Kupiainen, Amber J. Soja, Lin Huang, and Simon Wilson
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The monthly mean soil moisture forecasts for forestry are been developed in the Finnish Meteorological Institute in cooperation with Finnish end-users. Such forecasts help in timber harvesting planning, and forecasts could large economic value. Therefore the skillfulness of forecasts was measured. Throughout the year the first month was skillful, and after that it can be hard to say if the forecasts are better than the normal conditions. Winter forecasts are a bit better than summer forecasts.
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Adv. Sci. Res., 16, 31–37, https://doi.org/10.5194/asr-16-31-2019, https://doi.org/10.5194/asr-16-31-2019, 2019
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A comparison of forest damage with windstorm intensity in Finland suggests that the volume of forest damage follows approximately a power relation as a function of wind gust speed with a power of ~10. This tentative estimate holds for typical windstorms having mainly westerly winds and affecting large areas in southern and central parts of Finland. The estimate can be utilized when preparing impact-based predictions of windstorms.
Ilari Lehtonen, Ari Venäläinen, Matti Kämäräinen, Antti Asikainen, Juha Laitila, Perttu Anttila, and Heli Peltola
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Wintertime bearing capacity on different forest soils with respect to timber harvesting in the projected future climate of Finland was estimated by using a soil temperature model and a wide set of downscaled climate model simulations. The results indicate that, particularly, drained peatlands may virtually lack soil frost over large areas in most of winters during the late 21st century. There is thus a clear need to develop new sustainable and efficient logging practices for peatland forests.
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Atte Harjanne, Riina Haavisto, Heikki Tuomenvirta, and Hilppa Gregow
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Ari Venäläinen, Mikko Laapas, Pentti Pirinen, Matti Horttanainen, Reijo Hyvönen, Ilari Lehtonen, Päivi Junila, Meiting Hou, and Heli M. Peltola
Earth Syst. Dynam., 8, 529–545, https://doi.org/10.5194/esd-8-529-2017, https://doi.org/10.5194/esd-8-529-2017, 2017
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The rapidly growing forest-based bioeconomy calls for increasing wood harvesting intensity, and an increase in thinning and a final felling area. This may increase wind damage risks at the upwind edges of new cleared felling areas and thinned stands. Efficient wind risk assessment is needed. We demonstrate a pragmatic and computationally feasible method for identifying at a high spatial resolution those locations having the highest forest wind damage risks.
Otto Hyvärinen, Antti Mäkelä, Matti Kämäräinen, and Hilppa Gregow
Adv. Sci. Res., 14, 89–93, https://doi.org/10.5194/asr-14-89-2017, https://doi.org/10.5194/asr-14-89-2017, 2017
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Finnish Meteorological Institute and Helen Ltd examined the feasibility of long-range forecasts (longer than two weeks) of temperature for needs of the energy sector in Helsinki, Finland. In this study, we examined the quality of Heating degree day (HDD) forecasts. As the forecasts we used UK Met Office seasonal forecasts. The long-range forecasts of monthly HDD showed some skill in Helsinki in winter 2015–2016, up to two months, especially if the very cold January is excluded.
Matti Kämäräinen, Otto Hyvärinen, Kirsti Jylhä, Andrea Vajda, Simo Neiglick, Jaakko Nuottokari, and Hilppa Gregow
Nat. Hazards Earth Syst. Sci., 17, 243–259, https://doi.org/10.5194/nhess-17-243-2017, https://doi.org/10.5194/nhess-17-243-2017, 2017
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Freezing rain is a high-impact wintertime weather phenomenon. The direct damage it causes to critical infrastructure (transportation, communication and energy) and forestry can be substantial. In this work a method for estimating the occurrence of freezing rain was evaluated and used to derive the climatology. The method was able to accurately reproduce the observed, spatially aggregated annual variability. The highest frequencies of freezing rain were found in eastern and central Europe.
Ilari Lehtonen, Matti Kämäräinen, Hilppa Gregow, Ari Venäläinen, and Heli Peltola
Nat. Hazards Earth Syst. Sci., 16, 2259–2271, https://doi.org/10.5194/nhess-16-2259-2016, https://doi.org/10.5194/nhess-16-2259-2016, 2016
Short summary
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We studied the impact of projected climate change on the risk of snow-induced forest damage in Finland. Although winters are projected to become milder over the whole of Finland, our results suggest than in eastern and northern Finland the risk may increase while in southern and western parts of the country it is projected to decrease. This indicates that there is increasing need to consider the potential of snow damage in forest management in eastern and northern Finland.
B. Wang, T. S. Zha, X. Jia, J. N. Gong, B. Wu, C. P. A. Bourque, Y. Zhang, S. G. Qin, G. P. Chen, and H. Peltola
Biogeosciences, 12, 5705–5714, https://doi.org/10.5194/bg-12-5705-2015, https://doi.org/10.5194/bg-12-5705-2015, 2015
A. K. Kaiser-Weiss, F. Kaspar, V. Heene, M. Borsche, D. G. H. Tan, P. Poli, A. Obregon, and H. Gregow
Adv. Sci. Res., 12, 187–198, https://doi.org/10.5194/asr-12-187-2015, https://doi.org/10.5194/asr-12-187-2015, 2015
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Wind speed measured at the German stations correlate well with reanalysis fields. Monthly means from two global reanalyses (ERA-20C, ERA-Interim) and one regional reanalysis (COSMO-REA6) were analysed and correlate well for the majority of the German stations. Thus we conclude that the monthly and seasonal anomalies recorded at these stations can be understood as representative for a spatial area comparable to the resolution of the reanalyses, at least for the recent years.
P. Jokinen, A. Vajda, and H. Gregow
Adv. Sci. Res., 12, 97–101, https://doi.org/10.5194/asr-12-97-2015, https://doi.org/10.5194/asr-12-97-2015, 2015
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Emergency rescue data and weather reanalysis data were combined to study the spatial and decadal characteristics of potential forest damage days in Finland due to windstorms. The most prone area for damage days was the south-western part of Finland. Results also indicated a lull period during the 1990s compared to the 1980s and 2000s, albeit no trend was evident. The study highlighted the importance of not only focusing on wind speeds, but also soil conditions.
H. Gregow, P. Poli, H. M. Mäkelä, K. Jylhä, A. K. Kaiser-Weiss, A. Obregon, D. G. H. Tan, S. Kekki, and F. Kaspar
Adv. Sci. Res., 12, 63–67, https://doi.org/10.5194/asr-12-63-2015, https://doi.org/10.5194/asr-12-63-2015, 2015
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Many users of climate information are unaware of the availability of reanalysis feedback data and input observations, and uptake of feedback data is rather low. The most important factors limiting the use of this data is that the users feel that there is no easy interface to get the data or they do not find it at all. The relevant communities should invest resources to develop tools and provide training to bridge the gap between current capabilities and comprehensive exploitation of the data.
O. Hyvärinen, L. Mtilatila, K. Pilli-Sihvola, A. Venäläinen, and H. Gregow
Adv. Sci. Res., 12, 31–36, https://doi.org/10.5194/asr-12-31-2015, https://doi.org/10.5194/asr-12-31-2015, 2015
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We assessed the quality of the seasonal precipitation forecasts issued by Regional Climate Outlook Forum for Malawi and Zambia. The forecasts, issued in August, are of rainy season rainfall accumulations for early and late season. The forecasts are rather well-calibrated, but cannot discriminate between different events. But these results can be too pessimistic, because forecasts have gone through much development lately, and forecasts using current methodology might have performed better.
X. Jia, T. S. Zha, B. Wu, Y. Q. Zhang, J. N. Gong, S. G. Qin, G. P. Chen, D. Qian, S. Kellomäki, and H. Peltola
Biogeosciences, 11, 4679–4693, https://doi.org/10.5194/bg-11-4679-2014, https://doi.org/10.5194/bg-11-4679-2014, 2014
N. Korhonen, A. Venäläinen, H. Seppä, and H. Järvinen
Clim. Past, 10, 1489–1500, https://doi.org/10.5194/cp-10-1489-2014, https://doi.org/10.5194/cp-10-1489-2014, 2014
A. Venäläinen, N. Korhonen, O. Hyvärinen, N. Koutsias, F. Xystrakis, I. R. Urbieta, and J. M. Moreno
Nat. Hazards Earth Syst. Sci., 14, 1477–1490, https://doi.org/10.5194/nhess-14-1477-2014, https://doi.org/10.5194/nhess-14-1477-2014, 2014
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Glide-snow avalanches release at the ground–snow interface, and their release process is poorly understood. To investigate the influence of spatial variability (snowpack and basal friction) on avalanche release, we developed a 3D, mechanical, threshold-based model that reproduces an observed release area distribution. A sensitivity analysis showed that the distribution was mostly influenced by the basal friction uniformity, while the variations in snowpack properties had little influence.
Kang He, Xinyi Shen, Cory Merow, Efthymios Nikolopoulos, Rachael V. Gallagher, Feifei Yang, and Emmanouil N. Anagnostou
Nat. Hazards Earth Syst. Sci., 24, 3337–3355, https://doi.org/10.5194/nhess-24-3337-2024, https://doi.org/10.5194/nhess-24-3337-2024, 2024
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A framework combining a fire severity classification with a regression model to predict an indicator of fire severity derived from Landsat imagery (difference normalized burning ratio, dNBR) is proposed. The results show that the proposed predictive technique is capable of providing robust fire severity prediction information, which can be used for forecasting seasonal fire severity and, subsequently, impacts on biodiversity and ecosystems under projected future climate conditions.
Adam Emmer, Oscar Vilca, Cesar Salazar Checa, Sihan Li, Simon Cook, Elena Pummer, Jan Hrebrina, and Wilfried Haeberli
EGUsphere, https://doi.org/10.5194/egusphere-2024-2316, https://doi.org/10.5194/egusphere-2024-2316, 2024
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We report in detail the most recent large landslide-triggered glacial lake outburst flood (GLOF) in the Peruvian Andes (the 2023 Rasac GLOF), analyze its preconditions, consequences, and the role of changing climate. Our study contibutes to understanding GLOF occurrence patterns in space and time and corroborates increasing frequency of such events in changing mountains.
Audun Hetland, Rebecca Anne Hetland, Tarjei Tveito Skille, and Andrea Mannberg
EGUsphere, https://doi.org/10.5194/egusphere-2024-1628, https://doi.org/10.5194/egusphere-2024-1628, 2024
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Research on human factor in avalanche decision making has become increasingly popular the past two decades. The studies span across a wide range of disciplines and is published in a variety of journals. To provide an overview of the literature this study provide a systematic scooping review of human factor in avalanche decision making. 70 papers fulfilled the search criteria. We extracted data and sorted the papers according to their main theme.
John Sykes, Pascal Haegeli, Roger Atkins, Patrick Mair, and Yves Bühler
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2024-147, https://doi.org/10.5194/nhess-2024-147, 2024
Revised manuscript accepted for NHESS
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We develop decision support tools to assist professional ski guides in determining safe terrain each day based on current conditions. To understand the decision-making process we collaborate with professional guides and build three unique models to predict their decisions. The models accurately capture the real world decision-making outcomes in 85–93 % of cases. Our conclusions focus on strengths and weaknesses of each model and discuss ramifications for practical applications in ski guiding.
Håvard B. Toft, Samuel V. Verplanck, and Markus Landrø
Nat. Hazards Earth Syst. Sci., 24, 2757–2772, https://doi.org/10.5194/nhess-24-2757-2024, https://doi.org/10.5194/nhess-24-2757-2024, 2024
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This study investigates inconsistencies in impact force as part of extended column tests (ECTs). We measured force-time curves from 286 practitioners in Scandinavia, Central Europe, and North America. The results show a large variability in peak forces and loading rates across wrist, elbow, and shoulder taps, challenging the ECT's reliability.
Florian Herla, Pascal Haegeli, Simon Horton, and Patrick Mair
Nat. Hazards Earth Syst. Sci., 24, 2727–2756, https://doi.org/10.5194/nhess-24-2727-2024, https://doi.org/10.5194/nhess-24-2727-2024, 2024
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Snowpack simulations are increasingly employed by avalanche warning services to inform about critical avalanche layers buried in the snowpack. However, validity concerns limit their operational value. We present methods that enable meaningful comparisons between snowpack simulations and regional assessments of avalanche forecasters to quantify the performance of the Canadian weather and snowpack model chain to represent thin critical avalanche layers on a large scale and in real time.
Cristina Pérez-Guillén, Frank Techel, Michele Volpi, and Alec van Herwijnen
EGUsphere, https://doi.org/10.5194/egusphere-2024-2374, https://doi.org/10.5194/egusphere-2024-2374, 2024
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This study assesses the performance and explainability of a random forest classifier for predicting dry-snow avalanche danger levels during initial live-testing. The model achieved ∼70 % agreement with human forecasts, performing equally well in nowcast and forecast modes, while capturing the temporal dynamics of avalanche forecasting. The explainability approach enhances the transparency of the model's decision-making process, providing a valuable tool for operational avalanche forecasting.
Tandin Wangchuk and Ryota Tsubaki
Nat. Hazards Earth Syst. Sci., 24, 2523–2540, https://doi.org/10.5194/nhess-24-2523-2024, https://doi.org/10.5194/nhess-24-2523-2024, 2024
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A glacial lake outburst flood (GLOF) is a natural hazard in which water from a glacier-fed lake is swiftly discharged, causing serious harm to life, infrastructure, and communities. We used numerical models to predict the potential consequences of a GLOF originating from the Thorthomi glacial lake in Bhutan. We found that if a GLOF occurs, the lake could release massive flood water within 4 h, posing a considerable risk. Study findings help to mitigate the impacts of future GLOFs.
Grant Statham and Cam Campbell
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2024-89, https://doi.org/10.5194/nhess-2024-89, 2024
Revised manuscript accepted for NHESS
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The Avalanche Terrain Exposure Scale (ATES) is an avalanche terrain rating system used for terrain assessment and risk communication in public and workplace avalanche safety practices. This paper introduces ATES v.2, an update to the system that expands the original scale from three levels to five by including Class 0 – Non-Avalanche Terrain, and Class 4 – Extreme Terrain. The updated models for assessment and communication are described in detail, along with methods for the application of ATES.
Håvard B. Toft, John Sykes, Andrew Schauer, Jordy Hendrikx, and Audun Hetland
Nat. Hazards Earth Syst. Sci., 24, 1779–1793, https://doi.org/10.5194/nhess-24-1779-2024, https://doi.org/10.5194/nhess-24-1779-2024, 2024
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Manual Avalanche Terrain Exposure Scale (ATES) mapping is time-consuming and inefficient for large-scale applications. The updated algorithm for automated ATES mapping overcomes previous limitations by including forest density data, improving the avalanche runout estimations in low-angle runout zones, accounting for overhead exposure and open-source software. Results show that the latest version has significantly improved its performance.
Paula Aguirre, Jorge León, Constanza González-Mathiesen, Randy Román, Manuela Penas, and Alonso Ogueda
Nat. Hazards Earth Syst. Sci., 24, 1521–1537, https://doi.org/10.5194/nhess-24-1521-2024, https://doi.org/10.5194/nhess-24-1521-2024, 2024
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Wildfires pose a significant risk to property located in the wildland–urban interface (WUI). To assess and mitigate this risk, we need to understand which characteristics of buildings and building arrangements make them more prone to damage. We used a combination of data collection and analysis methods to study the vulnerability of dwellings in the WUI for case studies in Chile and concluded that the spatial arrangement of houses has a substantial impact on their vulnerability to wildfires.
Martín Domínguez Durán, María Angélica Sandoval Garzón, and Carme Huguet
Nat. Hazards Earth Syst. Sci., 24, 1319–1339, https://doi.org/10.5194/nhess-24-1319-2024, https://doi.org/10.5194/nhess-24-1319-2024, 2024
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In this study we created a cost-effective alternative to bridge the baseline information gap on indoor radon (a highly carcinogenic gas) in regions where measurements are scarce. We model indoor radon concentrations to understand its spatial distribution and the potential influential factors. We evaluated the performance of this alternative using a small number of measurements taken in Bogotá, Colombia. Our results show that this alternative could help in the making of future studies and policy.
Monica Sund, Heidi A. Grønsten, and Siv Å. Seljesæter
Nat. Hazards Earth Syst. Sci., 24, 1185–1201, https://doi.org/10.5194/nhess-24-1185-2024, https://doi.org/10.5194/nhess-24-1185-2024, 2024
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Slushflows are rapid mass movements of water-saturated snow released in gently sloping terrain (< 30°), often unexpectedly. Early warning is crucial to prevent casualties and damage to infrastructure. A regional early warning for slushflow hazard was established in Norway in 2013–2014 and has been operational since. We present a methodology using the ratio between water supply and snow depth by snow type to assess slushflow hazard. This approach is useful for other areas with slushflow hazard.
Sophie Barthelemy, Bertrand Bonan, Jean-Christophe Calvet, Gilles Grandjean, David Moncoulon, Dorothée Kapsambelis, and Séverine Bernardie
Nat. Hazards Earth Syst. Sci., 24, 999–1016, https://doi.org/10.5194/nhess-24-999-2024, https://doi.org/10.5194/nhess-24-999-2024, 2024
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This work presents a drought index specifically adapted to subsidence, a seasonal phenomenon of soil shrinkage that occurs frequently in France and damages buildings. The index is computed from land surface model simulations and evaluated by a rank correlation test with insurance data. With its optimal configuration, the index is able to identify years of both zero and significant loss.
John Sykes, Håvard Toft, Pascal Haegeli, and Grant Statham
Nat. Hazards Earth Syst. Sci., 24, 947–971, https://doi.org/10.5194/nhess-24-947-2024, https://doi.org/10.5194/nhess-24-947-2024, 2024
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The research validates and optimizes an automated approach for creating classified snow avalanche terrain maps using open-source geospatial modeling tools. Validation is based on avalanche-expert-based maps for two study areas. Our results show that automated maps have an overall accuracy equivalent to the average accuracy of three human maps. Automated mapping requires a fraction of the time and cost of traditional methods and opens the door for large-scale mapping of mountainous terrain.
Conor Hackett, Rafael de Andrade Moral, Gourav Mishra, Tim McCarthy, and Charles Markham
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2024-27, https://doi.org/10.5194/nhess-2024-27, 2024
Preprint under review for NHESS
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This paper reviews existing wildfire propagation models and a comparison of different grid types including random grids to simulate wildfires. This paper finds that irregular grids simulate wildfires more efficiently than continuous models while still retaining a reasonable level of similarity. It also shows that irregular grids tend to retain greater similarity to continuous models than regular grids at the cost of slightly longer computational times.
Jonas Mortelmans, Anne Felsberg, Gabriëlle J. M. De Lannoy, Sander Veraverbeke, Robert D. Field, Niels Andela, and Michel Bechtold
Nat. Hazards Earth Syst. Sci., 24, 445–464, https://doi.org/10.5194/nhess-24-445-2024, https://doi.org/10.5194/nhess-24-445-2024, 2024
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With global warming increasing the frequency and intensity of wildfires in the boreal region, accurate risk assessments are becoming more crucial than ever before. The Canadian Fire Weather Index (FWI) is a renowned system, yet its effectiveness in peatlands, where hydrology plays a key role, is limited. By incorporating groundwater data from numerical models and satellite observations, our modified FWI improves the accuracy of fire danger predictions, especially over summer.
Timothy W. Juliano, Fernando Szasdi-Bardales, Neil P. Lareau, Kasra Shamsaei, Branko Kosović, Negar Elhami-Khorasani, Eric P. James, and Hamed Ebrahimian
Nat. Hazards Earth Syst. Sci., 24, 47–52, https://doi.org/10.5194/nhess-24-47-2024, https://doi.org/10.5194/nhess-24-47-2024, 2024
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Following the destructive Lahaina Fire in Hawaii, our team has modeled the wind and fire spread processes to understand the drivers of this devastating event. The simulation results show that extreme winds with high variability, a fire ignition close to the community, and construction characteristics led to continued fire spread in multiple directions. Our results suggest that available modeling capabilities can provide vital information to guide decision-making during wildfire events.
Stephanie Mayer, Frank Techel, Jürg Schweizer, and Alec van Herwijnen
Nat. Hazards Earth Syst. Sci., 23, 3445–3465, https://doi.org/10.5194/nhess-23-3445-2023, https://doi.org/10.5194/nhess-23-3445-2023, 2023
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We present statistical models to estimate the probability for natural dry-snow avalanche release and avalanche size based on the simulated layering of the snowpack. The benefit of these models is demonstrated in comparison with benchmark models based on the amount of new snow. From the validation with data sets of quality-controlled avalanche observations and danger levels, we conclude that these models may be valuable tools to support forecasting natural dry-snow avalanche activity.
Wei Yang, Zhongyan Wang, Baosheng An, Yingying Chen, Chuanxi Zhao, Chenhui Li, Yongjie Wang, Weicai Wang, Jiule Li, Guangjian Wu, Lin Bai, Fan Zhang, and Tandong Yao
Nat. Hazards Earth Syst. Sci., 23, 3015–3029, https://doi.org/10.5194/nhess-23-3015-2023, https://doi.org/10.5194/nhess-23-3015-2023, 2023
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We present the structure and performance of the early warning system (EWS) for glacier collapse and river blockages in the southeastern Tibetan Plateau. The EWS warned of three collapse–river blockage chain events and seven small-scale events. The volume and location of the collapses and the percentage of ice content influenced the velocities of debris flows. Such a study is helpful for understanding the mechanism of glacier hazards and for establishing similar EWSs in other high-risk regions.
Alba Marquez Torres, Giovanni Signorello, Sudeshna Kumar, Greta Adamo, Ferdinando Villa, and Stefano Balbi
Nat. Hazards Earth Syst. Sci., 23, 2937–2959, https://doi.org/10.5194/nhess-23-2937-2023, https://doi.org/10.5194/nhess-23-2937-2023, 2023
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Only by mapping fire risks can we manage forest and prevent fires under current and future climate conditions. We present a fire risk map based on k.LAB, artificial-intelligence-powered and open-source software integrating multidisciplinary knowledge in near real time. Through an easy-to-use web application, we model the hazard with 84 % accuracy for Sicily, a representative Mediterranean region. Fire risk analysis reveals 45 % of vulnerable areas face a high probability of danger in 2050.
Elisabeth D. Hafner, Frank Techel, Rodrigo Caye Daudt, Jan Dirk Wegner, Konrad Schindler, and Yves Bühler
Nat. Hazards Earth Syst. Sci., 23, 2895–2914, https://doi.org/10.5194/nhess-23-2895-2023, https://doi.org/10.5194/nhess-23-2895-2023, 2023
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Oftentimes when objective measurements are not possible, human estimates are used instead. In our study, we investigate the reproducibility of human judgement for size estimates, the mappings of avalanches from oblique photographs and remotely sensed imagery. The variability that we found in those estimates is worth considering as it may influence results and should be kept in mind for several applications.
Gerardo Romano, Marco Antonellini, Domenico Patella, Agata Siniscalchi, Andrea Tallarico, Simona Tripaldi, and Antonello Piombo
Nat. Hazards Earth Syst. Sci., 23, 2719–2735, https://doi.org/10.5194/nhess-23-2719-2023, https://doi.org/10.5194/nhess-23-2719-2023, 2023
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The Nirano Salse (northern Apennines, Italy) is characterized by several active mud vents and hosts thousands of visitors every year. New resistivity models describe the area down to 250 m, improving our geostructural knowledge of the area and giving useful indications for a better understanding of mud volcano dynamics and for the better planning of safer tourist access to the area.
Harry Podschwit, William Jolly, Ernesto Alvarado, Andrea Markos, Satyam Verma, Sebastian Barreto-Rivera, Catherine Tobón-Cruz, and Blanca Ponce-Vigo
Nat. Hazards Earth Syst. Sci., 23, 2607–2624, https://doi.org/10.5194/nhess-23-2607-2023, https://doi.org/10.5194/nhess-23-2607-2023, 2023
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We developed a model of fire spread that assumes that fire spreads in all directions at a constant speed and is extinguished at a constant rate. The model was fitted to 1003 fires in Peru between 2001 and 2020 using satellite burned area data from the GlobFire project. We fitted statistical models that predicted the spread and extinguish rates based on weather and land cover variables and found that these variables were good predictors of the spread and extinguish rates.
Anushilan Acharya, Jakob F. Steiner, Khwaja Momin Walizada, Salar Ali, Zakir Hussain Zakir, Arnaud Caiserman, and Teiji Watanabe
Nat. Hazards Earth Syst. Sci., 23, 2569–2592, https://doi.org/10.5194/nhess-23-2569-2023, https://doi.org/10.5194/nhess-23-2569-2023, 2023
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All accessible snow and ice avalanches together with previous scientific research, local knowledge, and existing or previously active adaptation and mitigation solutions were investigated in the high mountain Asia (HMA) region to have a detailed overview of the state of knowledge and identify gaps. A comprehensive avalanche database from 1972–2022 is generated, including 681 individual events. The database provides a basis for the forecasting of avalanche hazards in different parts of HMA.
Caili Zhong, Sibo Cheng, Matthew Kasoar, and Rossella Arcucci
Nat. Hazards Earth Syst. Sci., 23, 1755–1768, https://doi.org/10.5194/nhess-23-1755-2023, https://doi.org/10.5194/nhess-23-1755-2023, 2023
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This paper introduces a digital twin fire model using machine learning techniques to improve the efficiency of global wildfire predictions. The proposed model also manages to efficiently adjust the prediction results thanks to data assimilation techniques. The proposed digital twin runs 500 times faster than the current state-of-the-art physics-based model.
Abby Morgan, Pascal Haegeli, Henry Finn, and Patrick Mair
Nat. Hazards Earth Syst. Sci., 23, 1719–1742, https://doi.org/10.5194/nhess-23-1719-2023, https://doi.org/10.5194/nhess-23-1719-2023, 2023
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The avalanche danger scale is a critical component for communicating the severity of avalanche hazard conditions to the public. We examine how backcountry recreationists in North America understand and use the danger scale for planning trips into the backcountry. Our results provide an important user perspective on the strengths and weaknesses of the existing scale and highlight opportunities for future improvements.
Adrián Cardíl, Victor M. Tapia, Santiago Monedero, Tomás Quiñones, Kerryn Little, Cathelijne R. Stoof, Joaquín Ramirez, and Sergio de-Miguel
Nat. Hazards Earth Syst. Sci., 23, 361–373, https://doi.org/10.5194/nhess-23-361-2023, https://doi.org/10.5194/nhess-23-361-2023, 2023
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This study aims to unravel large-fire behavior in northwest Europe, a temperate region with a projected increase in wildfire risk. We propose a new method to identify wildfire rate of spread from satellites because it is important to know periods of elevated fire risk for suppression methods and land management. Results indicate that there is a peak in the area burned and rate of spread in the months of March and April, and there are significant differences for forest-type land covers.
Liam S. Taylor, Duncan J. Quincey, and Mark W. Smith
Nat. Hazards Earth Syst. Sci., 23, 329–341, https://doi.org/10.5194/nhess-23-329-2023, https://doi.org/10.5194/nhess-23-329-2023, 2023
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Hazards from glaciers are becoming more likely as the climate warms, which poses a threat to communities living beneath them. We have developed a new camera system which can capture regular, high-quality 3D models to monitor small changes in glaciers which could be indicative of a future hazard. This system is far cheaper than more typical camera sensors yet produces very similar quality data. We suggest that deploying these cameras near glaciers could assist in warning communities of hazards.
Bastian Bergfeld, Alec van Herwijnen, Grégoire Bobillier, Philipp L. Rosendahl, Philipp Weißgraeber, Valentin Adam, Jürg Dual, and Jürg Schweizer
Nat. Hazards Earth Syst. Sci., 23, 293–315, https://doi.org/10.5194/nhess-23-293-2023, https://doi.org/10.5194/nhess-23-293-2023, 2023
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For a slab avalanche to release, the snowpack must facilitate crack propagation over large distances. Field measurements on crack propagation at this scale are very scarce. We performed a series of experiments, up to 10 m long, over a period of 10 weeks. Beside the temporal evolution of the mechanical properties of the snowpack, we found that crack speeds were highest for tests resulting in full propagation. Based on these findings, an index for self-sustained crack propagation is proposed.
Sigrid Jørgensen Bakke, Niko Wanders, Karin van der Wiel, and Lena Merete Tallaksen
Nat. Hazards Earth Syst. Sci., 23, 65–89, https://doi.org/10.5194/nhess-23-65-2023, https://doi.org/10.5194/nhess-23-65-2023, 2023
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In this study, we developed a machine learning model to identify dominant controls of wildfire in Fennoscandia and produce monthly fire danger probability maps. The dominant control was shallow-soil water anomaly, followed by air temperature and deep soil water. The model proved skilful with a similar performance as the existing Canadian Forest Fire Weather Index (FWI). We highlight the benefit of using data-driven models jointly with other fire models to improve fire monitoring and prediction.
Yi Victor Wang and Antonia Sebastian
Nat. Hazards Earth Syst. Sci., 22, 4103–4118, https://doi.org/10.5194/nhess-22-4103-2022, https://doi.org/10.5194/nhess-22-4103-2022, 2022
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In this article, we propose an equivalent hazard magnitude scale and a method to evaluate and compare the strengths of natural hazard events across different hazard types, including earthquakes, tsunamis, floods, droughts, forest fires, tornadoes, cold waves, heat waves, and tropical cyclones. With our method, we determine that both the February 2021 North American cold wave event and Hurricane Harvey in 2017 were equivalent to a magnitude 7.5 earthquake in hazard strength.
Michael A. Storey and Owen F. Price
Nat. Hazards Earth Syst. Sci., 22, 4039–4062, https://doi.org/10.5194/nhess-22-4039-2022, https://doi.org/10.5194/nhess-22-4039-2022, 2022
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Models are needed to understand and predict pollutant output from forest fires so fire agencies can reduce smoke-related risks to human health. We modelled air quality (PM2.5) based on fire area and weather variables. We found fire area and boundary layer height were influential on predictions, with distance, temperature, wind speed and relative humidity also important. The models predicted reasonably accurately in comparison to other existing methods but would benefit from further development.
Tomás Calheiros, Akli Benali, Mário Pereira, João Silva, and João Nunes
Nat. Hazards Earth Syst. Sci., 22, 4019–4037, https://doi.org/10.5194/nhess-22-4019-2022, https://doi.org/10.5194/nhess-22-4019-2022, 2022
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Fire weather indices are used to assess the effect of weather on wildfires. Fire weather risk was computed and combined with large wildfires in Portugal. Results revealed the influence of vegetation cover: municipalities with a prevalence of shrublands, located in eastern parts, burnt under less extreme conditions than those with higher forested areas, situated in coastal regions. These findings are a novelty for fire science in Portugal and should be considered for fire management.
Ana C. L. Sá, Bruno Aparicio, Akli Benali, Chiara Bruni, Michele Salis, Fábio Silva, Martinho Marta-Almeida, Susana Pereira, Alfredo Rocha, and José Pereira
Nat. Hazards Earth Syst. Sci., 22, 3917–3938, https://doi.org/10.5194/nhess-22-3917-2022, https://doi.org/10.5194/nhess-22-3917-2022, 2022
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Assessing landscape wildfire connectivity supported by wildfire spread simulations can improve fire hazard assessment and fuel management plans. Weather severity determines the degree of fuel patch connectivity and thus the potential to spread large and intense wildfires. Mapping highly connected patches in the landscape highlights patch candidates for prior fuel treatments, which ultimately will contribute to creating fire-resilient Mediterranean landscapes.
Simon K. Allen, Ashim Sattar, Owen King, Guoqing Zhang, Atanu Bhattacharya, Tandong Yao, and Tobias Bolch
Nat. Hazards Earth Syst. Sci., 22, 3765–3785, https://doi.org/10.5194/nhess-22-3765-2022, https://doi.org/10.5194/nhess-22-3765-2022, 2022
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This study demonstrates how the threat of a very large outburst from a future lake can be feasibly assessed alongside that from current lakes to inform disaster risk management within a transboundary basin between Tibet and Nepal. Results show that engineering measures and early warning systems would need to be coupled with effective land use zoning and programmes to strengthen local response capacities in order to effectively reduce the risk associated with current and future outburst events.
Markéta Součková, Roman Juras, Kryštof Dytrt, Vojtěch Moravec, Johanna Ruth Blöcher, and Martin Hanel
Nat. Hazards Earth Syst. Sci., 22, 3501–3525, https://doi.org/10.5194/nhess-22-3501-2022, https://doi.org/10.5194/nhess-22-3501-2022, 2022
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Avalanches are natural hazards that threaten people and infrastructure. With climate change, avalanche activity is changing. We analysed the change in frequency and size of avalanches in the Krkonoše Mountains, Czechia, and detected important variables with machine learning tools from 1979–2020. Wet avalanches in February and March have increased, and slab avalanches have decreased and become smaller. The identified variables and their threshold levels may help in avalanche decision-making.
Annalie Dorph, Erica Marshall, Kate A. Parkins, and Trent D. Penman
Nat. Hazards Earth Syst. Sci., 22, 3487–3499, https://doi.org/10.5194/nhess-22-3487-2022, https://doi.org/10.5194/nhess-22-3487-2022, 2022
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Wildfire spatial patterns are determined by fire ignition sources and vegetation fuel moisture. Fire ignitions can be mediated by humans (owing to proximity to human infrastructure) or caused by lightning (owing to fuel moisture, average annual rainfall and local weather). When moisture in dead vegetation is below 20 % the probability of a wildfire increases. The results of this research enable accurate spatial mapping of ignition probability to aid fire suppression efforts and future research.
John Sykes, Pascal Haegeli, and Yves Bühler
Nat. Hazards Earth Syst. Sci., 22, 3247–3270, https://doi.org/10.5194/nhess-22-3247-2022, https://doi.org/10.5194/nhess-22-3247-2022, 2022
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Automated snow avalanche terrain mapping provides an efficient method for large-scale assessment of avalanche hazards, which informs risk management decisions for transportation and recreation. This research reduces the cost of developing avalanche terrain maps by using satellite imagery and open-source software as well as improving performance in forested terrain. The research relies on local expertise to evaluate accuracy, so the methods are broadly applicable in mountainous regions worldwide.
Ivana Čavlina Tomašević, Kevin K. W. Cheung, Višnjica Vučetić, Paul Fox-Hughes, Kristian Horvath, Maja Telišman Prtenjak, Paul J. Beggs, Barbara Malečić, and Velimir Milić
Nat. Hazards Earth Syst. Sci., 22, 3143–3165, https://doi.org/10.5194/nhess-22-3143-2022, https://doi.org/10.5194/nhess-22-3143-2022, 2022
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One of the most severe and impactful urban wildfire events in Croatian history has been reconstructed and analyzed. The study identified some important meteorological influences related to the event: the synoptic conditions of the Azores anticyclone, cold front, and upper-level shortwave trough all led to the highest fire weather index in 2017. A low-level jet, locally known as bura wind that can be explained by hydraulic jump theory, was the dynamic trigger of the event.
Adam Emmer, Simon K. Allen, Mark Carey, Holger Frey, Christian Huggel, Oliver Korup, Martin Mergili, Ashim Sattar, Georg Veh, Thomas Y. Chen, Simon J. Cook, Mariana Correas-Gonzalez, Soumik Das, Alejandro Diaz Moreno, Fabian Drenkhan, Melanie Fischer, Walter W. Immerzeel, Eñaut Izagirre, Ramesh Chandra Joshi, Ioannis Kougkoulos, Riamsara Kuyakanon Knapp, Dongfeng Li, Ulfat Majeed, Stephanie Matti, Holly Moulton, Faezeh Nick, Valentine Piroton, Irfan Rashid, Masoom Reza, Anderson Ribeiro de Figueiredo, Christian Riveros, Finu Shrestha, Milan Shrestha, Jakob Steiner, Noah Walker-Crawford, Joanne L. Wood, and Jacob C. Yde
Nat. Hazards Earth Syst. Sci., 22, 3041–3061, https://doi.org/10.5194/nhess-22-3041-2022, https://doi.org/10.5194/nhess-22-3041-2022, 2022
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Glacial lake outburst floods (GLOFs) have attracted increased research attention recently. In this work, we review GLOF research papers published between 2017 and 2021 and complement the analysis with research community insights gained from the 2021 GLOF conference we organized. The transdisciplinary character of the conference together with broad geographical coverage allowed us to identify progress, trends and challenges in GLOF research and outline future research needs and directions.
Fátima Arrogante-Funes, Inmaculada Aguado, and Emilio Chuvieco
Nat. Hazards Earth Syst. Sci., 22, 2981–3003, https://doi.org/10.5194/nhess-22-2981-2022, https://doi.org/10.5194/nhess-22-2981-2022, 2022
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We show that ecological value might be reduced by 50 % due to fire perturbation in ecosystems that have not developed in the presence of fire and/or that present changes in the fire regime. The biomes most affected are tropical and subtropical forests, tundra, and mangroves. Integration of biotic and abiotic fire regime and regeneration factors resulted in a powerful way to map ecological vulnerability to fire and develop assessments to generate adaptation plans of management in forest masses.
Aubrey Miller, Pascal Sirguey, Simon Morris, Perry Bartelt, Nicolas Cullen, Todd Redpath, Kevin Thompson, and Yves Bühler
Nat. Hazards Earth Syst. Sci., 22, 2673–2701, https://doi.org/10.5194/nhess-22-2673-2022, https://doi.org/10.5194/nhess-22-2673-2022, 2022
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Natural hazard modelers simulate mass movements to better anticipate the risk to people and infrastructure. These simulations require accurate digital elevation models. We test the sensitivity of a well-established snow avalanche model (RAMMS) to the source and spatial resolution of the elevation model. We find key differences in the digital representation of terrain greatly affect the simulated avalanche results, with implications for hazard planning.
Kathryn C. Fisher, Pascal Haegeli, and Patrick Mair
Nat. Hazards Earth Syst. Sci., 22, 1973–2000, https://doi.org/10.5194/nhess-22-1973-2022, https://doi.org/10.5194/nhess-22-1973-2022, 2022
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Avalanche bulletins include travel and terrain statements to provide recreationists with tangible guidance about how to apply the hazard information. We examined which bulletin users pay attention to these statements, what determines their usefulness, and how they could be improved. Our study shows that reducing jargon and adding simple explanations can significantly improve the usefulness of the statements for users with lower levels of avalanche awareness education who depend on this advice.
Cristina Pérez-Guillén, Frank Techel, Martin Hendrick, Michele Volpi, Alec van Herwijnen, Tasko Olevski, Guillaume Obozinski, Fernando Pérez-Cruz, and Jürg Schweizer
Nat. Hazards Earth Syst. Sci., 22, 2031–2056, https://doi.org/10.5194/nhess-22-2031-2022, https://doi.org/10.5194/nhess-22-2031-2022, 2022
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A fully data-driven approach to predicting the danger level for dry-snow avalanche conditions in Switzerland was developed. Two classifiers were trained using a large database of meteorological data, snow cover simulations, and danger levels. The models performed well throughout the Swiss Alps, reaching a performance similar to the current experience-based avalanche forecasts. This approach shows the potential to be a valuable supplementary decision support tool for assessing avalanche hazard.
Cited articles
Aalto, J., Pirinen, P., Heikkinen, J., and Venäläinen, A.: Spatial
interpolation of monthly climate data for Finland: comparing the performance
of kriging and generalized additive models, Theor. Appl. Climatol., 112, 99–111, 2013.
Amatulli, G., Camia, A., and San-Miguel-Ayanz, J.: Estimating future burned
areas under changing climate in the EU-Mediterranean countries, Sci. Total
Environ., 450–451, 209–222, 2013.
Balshi, M. S., McGuire, A. D., Duffy, P., Flannigan, M., Walsh, J., and
Melillo, J.: Assessing the response of area burned to changing climate in
western boreal North America using a multivariate adaptive regression splines
(MARS) approach, Global Change Biol., 15, 578–600, 2009.
Cattiaux, J., Douville, H., and Peings, Y.: European temperatures in CMIP5:
origins of present-day biases and future uncertainties, Clim. Dynam., 41, 2889–2907, 2013.
Collins, W. J., Bellouin, N., Doutriaux-Boucher, M., Gedney, N., Halloran, P.,
Hinton, T., Hughes, J., Jones, C. D., Joshi, M., Liddicoat, S., Martin, G.,
O'Connor, F., Rae, J., Senior, C., Sitch, S., Totterdell, I., Wiltshire, A.,
and Woodward, S.: Development and evaluation of an Earth-System model – HadGEM2,
Geosci. Model Dev., 4, 1051–1075, https://doi.org/10.5194/gmd-4-1051-2011, 2011.
Dai, A.: Increasing drought under global warming in observations and models,
Nat. Clim. Change, 3, 52–58, 2013.
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. Meteorol. Soc.,
137, 553–597, 2011.
de Groot, W. J., Goldhammer, J. G., Keenan, T., Brady, M. A., Lynham, T. J.,
Justice, C. O., Csiszar, I. A., and O'Loughlin, K.: Developing a global early
warning system for wildland fire, in: Proceedings of the V International
Conference on Forest Fire Research, 27–30 November 2006, Coimbra, edited by:
Viegas, D. X., Elsevier, Amsterdam, 12 pp., 2006.
Donner, L. J., Wyman, B. L., Hemler, R. S., Horowitz, L. W., Ming, Y.,
Zhao, M., Golaz, J.-C., Ginoux, P., Lin, S.-J., Schwarzkopf, M. D.,
Austin, J., Alaka, G., Cooke, W. F., Delworth, T. L., Freidenreich, S. M.,
Gordon, C. T., Griffies, S. M., Held, I. M., Hurlin, W. J., Klein, S. A.,
Knutson, T. R., Langenhorst, A. R., Lee, H.-C., Lin, Y., Magi, B. I.,
Malyshev, S. L., Milly, P. C. D., Naik, V., Nath, M. J., Pincus, R.,
Ploshay, J. J., Ramaswamy, V., Seman, C. J., Shevliakova, E., Sirutis, J. J.,
Stern, W. F., Stouffer, R. J., Wilson, R. J., Winton, M., Wittenberg, A. T.,
and Zeng, F.: The dynamical core, physical parameterizations, and basic
simulation characteristics of the atmospheric component AM3 of the GFDL
global coupled model CM3, J. Climate, 24, 3484–3519, 2011.
Dowdy, A. J., Mills, G. A., Finkele, K., and de Groot, W.: Index sensitivity
analysis applied to the Canadian forest fire weather index and the McArthur
forest fire danger index, Meteorol. Appl., 17, 298–312, 2010.
Dury, M., Hambuckers, A., Warnant, P., Henrot, A., Favre, E., Ouberdous, M.,
and François, L.: Responses of European forest ecosystems to 21st century
climate: assessing changes in interannual variability and fire intensity,
iForest, 4, 82–99, 2011.
Flannigan, M., Logan, K. A., Amiro, B. D., and Skinner, W. J.: Future
area burned in Canada, Clim. Change, 72, 1–16, 2005.
Flannigan, M., Stocks, B., Turetsky, M., and Wotton, M.: Impacts
of climate change on fire activity and fire management in the circumboreal
forest, Global Change Biol., 15, 549–560, 2009.
Giorgi, F. and Coppola, E.: Projections of twenty-first century climate over
Europe, Eur. Phys. J. Conf., 1, 29–46, 2009.
Granström, A.: Fire management for biodiversity in the European boreal
forest, Scand. J. Forest Res., 16, 62–69, 2001.
Gregow, H., Ruosteenoja, K., Pimenoff, N., and Jylhä, K.: Changes in mean
and extreme geostrophic wind speeds in northern Europe until 2100 based on
nine global climate models, Int. J. Climatol., 32, 1834–1846, 2012.
Hawkins, E. and Sutton, R.: The potential to narrow uncertainty in regional
climate predictions, B. Am. Meteorol. Soc., 90, 1095–1107, 2009.
Kellomäki, S., Peltola, H., Nuutinen, T., Korhonen, K. T., and
Strandman, H.: Sensitivity of managed boreal forests in Finland to climate
change, with implications for adaptive management, Philos. T. Roy. Soc. B, 363, 2341–2351, 2008.
Kilpeläinen, A., Kellomäki, S., Strandman, H., and
Venäläinen, A.: Climate change impacts on forest fire potential in
boreal conditions in Finland, Clim. Change, 103, 383–398, 2010.
Kilpeläinen, A., Torssonen, P., Strandman, H., Kellomäki, S.,
Asikainen, A., and Peltola, H.: Net climate impacts of forest biomass
production and utilization in managed boreal forests, Global Change Biol.
Bioenergy, https://doi.org/10.1111/gcbb.12243, online first, 2015.
Kuuluvainen, T.: Disturbance dynamics in boreal forests: defining the
ecological basis of restoration and management of biodiversity, Silva Fenn.,
36, 5–11, 2002.
Larjavaara, M., Kuuluvainen, T., and Rita, H.: Spatial distribution of
lightning-ignited forest fires in Finland, Forest Ecol. Manage., 208, 177–188, 2005.
Lehtonen, I., Ruosteenoja, K., and Jylhä, K.: Projected changes in
European extreme precipitation indices on the basis of global and regional
climate model ensembles, Int. J. Climatol., 34, 1208–1222, 2014a.
Lehtonen, I., Ruosteenoja, K., Venäläinen, A., and Gregow, H.: The
projected 21st century forest-fire risk in Finland under different greenhouse
gas scenarios, Boreal Environ. Res., 19, 127–139, 2014b.
Mäkelä, A., Enno, S.-V., and Haapalainen, J.: Nordic lightning
information system: thunderstorm climate of Northern Europe for the period
2002–2011, Atmos. Res., 139, 46–61, 2014.
Mäkelä, H. M., Laapas, M., and Venäläinen, A.: Long-term
temporal changes in the occurrence of a high forest fire danger in Finland,
Nat. Hazards Earth Syst. Sci., 12, 2591–2601, https://doi.org/10.5194/nhess-12-2591-2012, 2012.
Mäkelä, H. M., Venäläinen, A., Jylhä, K., Lehtonen, I.,
and Gregow, H.: Probabilistic projections of climatological forest fire
danger in Finland, Clim. Res., 60, 73–85, 2014.
Maraun, D.: Bias correction, quantile mapping, and downscaling: revisiting
the inflation issues, J. Climate, 26, 2137–2143, 2013.
Migliavacca, M., Dosio, A., Camia, A., Hobourg, R., Houston-Durrant, T.,
Kaiser, J. W., Khabarov, N., Krasovskii, A. A., Marcolla, B., San
Miguel-Ayanz, J., Ward, D. S., and Cescatti, A.: Modeling biomass burning and
related carbon emissions during the 21st century in Europe, J. Geophys.
Res.-Biogeo., 118, 1732–1747, 2013.
Nakićenović, N., Joseph, A., Gerald, D., de Vries, B., Fenhann, J.,
Graffin, S., Gregory, K., Grubler, A., Jung, T. J., Kram, T., La
Rovere, E. L., Michaelis, L., Mori, S., Morita, T., Pepper, W.,
Pitcher, H. M., Price, L., Riahi, K., Roehrl, A., Rogner, H.-H.,
Sankovski, A., Schlesinger, M., Shukla, P., Smith, S. J., Swart, R., van
Rooijen, S., Victor, N., and Dadi, Z.: Special Report on Emission Scenarios,
A Special Report of Working Group III of the Intergovernmental Panel on
Climate Change, Cambridge University Press, Cambridge, 2000.
Olsson, F., Gaillard, M.-J., Lemdahl, G., Greisman, A., Lanos, P.,
Marguerie, D., Marcoux, N., Skoglund, P., and Wäglind, J.: A continuous
record of fire covering the last 10,500 calendar years from southern Sweden – The
role of climate and human activities, Palaeogeogr. Palaeocl., 291, 128–141, 2010.
Osara, N. A.: Kulovalkeat, in: Suuri Metsäkirja, 1 osa, edited by:
Kaleva, E. K., Werner Söderström osakeyhtiö, Porvoo, 455–486, 1949.
Pereira, M. G., Calado, T. J., DaCamara, C. C., and Calheiros, T.: Effects of
regional climate change on rural fires in Portugal, Clim. Res., 57,
187–200, 2013.
Power, M. J., Marlon, J., Ortiz, N., Bartlein, P. J., Harrison, S. P.,
Mayle, F. E., Ballouche, A., Bradshaw, R. H. W., Carcaillet, C., Cordova, C.,
Mooney, S., Moreno, P. J., Prentice, I. C., Thonicke, K., Tinner, W.,
Whitlock, C., Zhang, Y., Zhao, Y., Ali, A. A., Anderson, R. S., Beer, R.,
Behling, H., Briles, C., Brown, K. J., Brunelle, A., Bush, M., Camill, P.,
Chu, G. Q., Clark, J., Colombaroli, D., Connor, S., Daniau, A.-L.,
Daniels, M., Dodson, J., Doughty, E., Edwards, M. E., Finsinger, W.,
Foster, D., Frechette, J., Gaillard, M. J., Gavin, D. G., Gobert, E.,
Haberle, S., Hallett, D. J., Higuera, P., Hope, G., Horn, S., Inoue, J.,
Kaltenrieder, P., Kennedy, L., Kong, Z. C., Larsen, C., Long, C. J.,
Lynch, J., Lynch, E. A., McGlone, M., Meeks, S., Mensing, S., Meyer, G.,
Minckley, T., Mohr, J., Nelson, D. M., New, J., Newnham, R., Noti, R.,
Oswald, W., Pierce, J., Richard, P. J. H., Rowe, C., Sanchez Goñi, M. F.,
Shuman, B. N., Takahara, H., Toney, J., Turney, C., Urrego-Sanchez, D. H.,
Umbanhowar, C., Vandergoes, M., Vanniere, B., Vescovi, E., Walsh, M.,
Wang, X., Williams, N., Wilmshurst, J., and Zhang, J. H.: Changes in fire
regimes since the Last Glacial Maximum: an assessment based on a global
synthesis and analysis of charcoal data, Clim. Dynam., 30, 887–907, 2008.
Räisänen, J. and Eklund, J.: 21st century changes in snow climate in
northern Europe: a high-resolution view from ENSEMBLES regional climate
models, Clim. Dynam., 38, 2575–2591, 2012.
Räisänen, J. and Räty, O.: Projections of daily mean temperature
variability in the future: cross-validation tests with ENSEMBLES regional
climate simulations, Clim. Dynam., 41, 1553–1568, 2013.
Räisänen, J. and Ylhäisi, J. S.: CO2-induced climate
change in northern Europe: CMIP2 versus CMIP3 versus CMIP5, Clim. Dynam., 45,
1877–1897, 2015.
Räty, O., Räisänen, J., and Ylhäisi, J. S.: Evaluation of
delta change and bias correction methods for future daily precipitation:
intermodel cross-validation using ENSEMBLES simulations, Clim. Dynam., 42, 2287–2303, 2014.
Reinikainen, A., Mäkipää, R., Vanha-Majamaa, I., and
Hotanen, J.-P. (Eds): Kasvit muuttuvassa metsäluonnossa, Tammi, Helsinki, 2000.
Ruosteenoja, K. and Räisänen, P.: Seasonal changes in solar radiation
and relative humidity in Europe in response to global warming, J. Climate,
26, 2467–2481, 2013.
Ruosteenoja, K., Räisänen, J., and Pirinen, P.: Projected changes in
thermal seasons and the growing season in Finland, Int. J. Climatol., 31, 1473–1487, 2011.
Saari, E.: Kuloista etupäässä Suomen valtionmetsiä
silmällä pitäen, Acta Forestalia Fenn., 26, 1–142, 1923.
Sherstyukov, B. G. and Sherstyukov, A. B.: Assessment of increase in forest
fire risk in Russia till the late 21st century based on scenario experiments
with fifth-generation climate models, Russ. Meteorol. Hydrol., 39, 292–301,
2014.
Stocks, B. J., Mason, J. A., Todd, J. B., Bosch, E. M., Wotton, B. M.,
Amiro, B. D., Flannigan, M. D., Hirsch, K. G., Logan, K. A., Martell, D. L.,
and Skinner, W. R.: Large forest fires in Canada, 1959–1997, J. Geophys.
Res., 108, D8149, https://doi.org/10.1029/2001JD000484, 2002.
Tanskanen, H. and Venäläinen, A.: The relationship between fire
activity and fire weather indices at different stages of the growing season
in Finland, Boreal Environ. Res., 13, 285–302, 2008.
Taylor, K. E., Stouffer, R. J., and Meehl, G. A.: An overview of CMIP5 and
the experimental design, B. Am. Meteorol. Soc., 93, 485–498, 2012.
Teutschbein, C. and Seibert, J.: Bias correction of regional climate model
simulations for hydrological climate-change impact studies: review and
evaluation of different methods, J. Hydrol., 456–457, 12–29, 2012.
Vajda, A., Venäläinen, A., Suomi, I., Junila, P., and
Mäkelä, H. M.: Assessment of forest fire danger in a boreal forest
environment: description and evaluation of the operational system applied in
Finland, Meteorol. Appl., 21, 879–887, 2014.
van Vuuren, D. P., Edmonds, J., Kainuma, M., Riahi, K., Thomson, A.,
Hibbard, K., Hurtt, G. C., Kram, T., Krey, V., Lamarque, J.-F., Masui, T.,
Meinshausen, M., Nakicenovic, N., Smith, S. J., and Rose, S. K.: The
representative concentration pathways: an overview, Clim. Change, 109,
5–31, 2011.
Van Wagner, C. E.: Development and structure of the Canadian Forest Fire
Weather Index System, Forestry Technical Report 35, Canadian Forestry
Service, Ottawa, ON, 1987
Van Wagner, C. E. and Pickett, T. L.: Equations and FORTRAN Program For the
Canadian Forest Fire Weather Index System, Forestry Technical Report 33,
Canadian Forestry Service, Ottawa, ON, 1985.
Venäläinen, A., Korhonen, N., Hyvärinen, O., Koutsias, N.,
Xystrakis, F., Urbieta, I. R., and Moreno, J. M.: Temporal variations and
change in forest fire danger in Europe for 1960–2012, Nat. Hazards Earth
Syst. Sci., 14, 1477–1490, https://doi.org/10.5194/nhess-14-1477-2014, 2014.
Voldoire, A., Sanchez-Gomez, E., Salas y Mélia, D., Decharme, B.,
Cassou, C., Sénési, S., Valcke, S., Beau, I., Alias, A.,
Chevallier, M., Déqué, M., Deshayes, J., Douville, H., Fernandez, E.,
Madec, G., Maisonnave, E., Moine, M.-P., Planton, S., Saint-Martin, D.,
Szopa, S., Tyteca, S., Alkama, R., Belamari, S., Braun, A., Coquart, L., and
Chauvin, F.: The CNRM-CM5.1 global climate model: description and basic
evaluation, Clim. Dynam., 40, 2091–2121, 2013.
von Salzen, K., Scinocca, J. F., McFarlane, N. A., Li, J., Cole, J. N. S.,
Plummer, D., Verseghy, D., Reader, M. C., Ma, X., Lazare, M., and
Solheim, L.: The Canadian fourth generation atmospheric global climate model
(CanAM4) – Part I: representation of physical processes, Atmos. Ocean, 51, 104–125, 2013.
Wallenius, T.: Major decline in fires in coniferous forests – reconstructing
the phenomenon and seeking for the cause, Silva Fenn., 45, 139–155, 2011.
Watanabe, M., Suzuki, T., O'ishi, R., Komuro, Y., Watanabe, S., Emori, S.,
Takemura, T., Chikira, M., Ogura, T., Sekiguchi, M., Takata, K.,
Yamazaki, D., Yokohata, T., Nozawa, T., Hasumi, H., Tatebe, H., and
Kimoto, M.: Improved climate simulation by MIROC5: mean states, variability,
and climate sensitivity, J. Climate, 23, 6312–6335, 2010.
Wilcke, R. A. I., Mendlik, T., and Gobiet, A.: Multi-variable error
correction of regional climate models, Clim. Change, 120, 871–887, 2013.
Xiao, J. and Zhuang, Q.: Drought effects on large fire activity in Canadian
and Alaskan forests, Environ. Res. Lett., 2, 044003, https://doi.org/10.1088/1748-9326/2/4/044003, 2007.
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
The number of large forest fires in Finland will most likely increase during the twenty-first century in response to projected climate change. This would increase the risk that some of the fires could develop into real conflagrations which have become almost extinct in Finland due to effective fire suppression. However, our results show considerable inter-model variability, demonstrating the large uncertainty related to the rate of the projected change in forest-fire danger.
The number of large forest fires in Finland will most likely increase during the twenty-first...
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