Articles | Volume 14, issue 10
https://doi.org/10.5194/nhess-14-2829-2014
© Author(s) 2014. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Special issue:
https://doi.org/10.5194/nhess-14-2829-2014
© Author(s) 2014. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
31 Oct 2014
Research article |
| 31 Oct 2014
Recent advances and applications of WRF–SFIRE
J. Mandel
University of Colorado Denver, Denver, CO, USA
Institute of Computer Science, Czech Academy of Sciences, Prague, Czech Republic
S. Amram
The Hebrew University of Jerusalem, Jerusalem, Israel
Ministry of Public Security, Jerusalem, Israel
J. D. Beezley
CERFACS and Météo France, Toulouse, France
G. Kelman
The Hebrew University of Jerusalem, Jerusalem, Israel
Weather It Is, LDT, Efrat, Israel
A. K. Kochanski
University of Utah, Salt Lake City, UT, USA
V. Y. Kondratenko
University of Colorado Denver, Denver, CO, USA
B. H. Lynn
The Hebrew University of Jerusalem, Jerusalem, Israel
Weather It Is, LDT, Efrat, Israel
B. Regev
The Hebrew University of Jerusalem, Jerusalem, Israel
Ministry of Public Security, Jerusalem, Israel
M. Vejmelka
University of Colorado Denver, Denver, CO, USA
Institute of Computer Science, Czech Academy of Sciences, Prague, Czech Republic
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A stochastic method, the ensemble Kalman smoother (EnKS), is proposed as a linear solver in four-dimensional variational data assimilation (4DVAR). The method approaches 4DVAR for large ensembles. Regularization provides global convergence, and it is implemented as an additional artificial observation. Since the EnKS is uncoupled from the insides of the 4DVAR, any version of EnKS can be used.
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Nonlin. Processes Geophys., 23, 59–73, https://doi.org/10.5194/npg-23-59-2016, https://doi.org/10.5194/npg-23-59-2016, 2016
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Review article: A scoping review of human factors in avalanche decision-making
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EGUsphere, https://doi.org/10.5194/egusphere-2024-1628, https://doi.org/10.5194/egusphere-2024-1628, 2024
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Florian Herla, Pascal Haegeli, Simon Horton, and Patrick Mair
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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
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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
Albini, F. A.: Estimating wildfire behavior and effects, US Forest Service, General Technical Report INT-30, http://www.treesearch.fs.fed.us/pubs/29574 (last access: October 2014), 1976.
Albini, F. A.: A model for the wind-blown flame from a line fire, Combustion and Flame, 43, 155–174, https://doi.org/10.1016/0010-2180(81)90014-6, 1981.
Albini, F. A.: Response of Free-Burning Fires to Nonsteady Wind, Combust. Sci. Technol., 29, 225–241, https://doi.org/10.1080/00102208208923599, 1982.
Anderson, H. E.: Aids to determining fuel models for estimating fire behavior, USDA Forest Service General Technical Report INT-122, http://www.fs.fed.us/rm/pubs_int/int_gtr122.html (last access: October 2014), 1982.
Balbi, J. H., Morandini, F., Silvani, X., Filippi, J. B., and Rinieri, F.: A physical model for wildland fires, Combust. Flame, 156, 2217–2230, https://doi.org/10.1016/j.combustflame.2009.07.010, 2009.
Beer, T.: The interaction of wind and fire, Bound.-Lay. Meteorol., 54, 287–308, https://doi.org/10.1007/BF00183958, 1991.
Beezley, J. D., Kochanski, A. K., and Mandel, J.: Integrating high-resolution static data into WRF for real fire simulations, Paper 6.3, Ninth Symposium on Fire and Forest Meteorology, Palm Springs, October 2011, http://ams.confex.com/ams/9FIRE/webprogram/Paper192276.html, retrieved December 2011.
Beezley, J. D., Martin, M., Rosen, P., Mandel, J., and Kochanski, A. K.: Data management and analysis with WRF and SFIRE, IEEE Geosci. Remote Sens., 2012, 5274–5277, https://doi.org/10.1109/IGARSS.2012.6352419, 2012.
Burgan, R. E., Klaver, R. W., and Klaver, J. M.: Fuel models and fire potential from satellite and surface observations, Int. J. Wildland Fire, 8, 159–170, 1998.
Byram, G. M.: Combustion of forest fuels, in: Forest Fire: Control and Use, edited by: Davis, K. P., McGraw Hill, New York, 61–89, 1959.
Carmel, Y., Paz, S., Jahashan, F., and Shoshany, M.: Assessing fire risk using Monte Carlo simulations of fire spread, Forest Ecol. Manage., 257, 370–377, https://doi.org/10.1016/j.foreco.2008.09.039, 2009.
Clark, T. L., Jenkins, M. A., Coen, J., and Packham, D.: A Coupled Atmospheric-Fire Model: Convective Feedback on Fire Line Dynamics, J. Appl. Meteorol., 35, 875–901, https://doi.org/10.1175/1520-0450(1996)035<0875:ACAMCF>2.0.CO;2, 1996a.
Clark, T. L., Jenkins, M. A., Coen, J. L., and Packham, D. R.: A coupled atmosphere-fire model: Role of the convective Froude number and dynamic fingering at the fireline, Int. J. Wildland Fire, 6, 177–190, https://doi.org/10.1071/WF9960177, 1996b.
Clark, T. L., Coen, J., and Latham, D.: Description of a Coupled Atmosphere-Fire Model, Int. J. Wildland Fire, 13, 49–64, https://doi.org/10.1071/WF03043, 2004.
Coen, J. L.: Simulation of the Big Elk Fire using coupled atmosphere-fire modeling, Int. J. Wildland Fire, 14, 49–59, https://doi.org/10.1071/WF04047, 2005.
Coen, J. L., Cameron, M., Michalakes, J., Patton, E. G., Riggan, P. J., and Yedinak, K.: WRF-Fire: Coupled Weather-Wildland Fire Modeling with the Weather Research and Forecasting Model, J. Appl. Meteor. Climatol., 52, 16–38, https://doi.org/10.1175/JAMC-D-12-023.1, 2013.
Fendell, F. E. and Wolff, M. F.: Wind-aided fire spread, in: Forest fires, behavior and ecological effects, edited by: Johnson, E. A. and Miyanishi, K., Academic Press, San Diego, CA, 171–223, 2001.
Filippi, J. B., Bosseur, F., Pialat, X., Santoni, P., Strada, S., and Mari, C.: Simulation of coupled fire/atmosphere interaction with the MesoNH-ForeFire models, J. Combust., 2011, 540390, https://doi.org/10.1155/2011/540390, 2011.
Finney, M. A.: Fire growth using minimum travel time methods, Can. J. Forest Res., 32, 1420–1424, https://doi.org/10.1139/x02-068, 2002.
Finney, M. A.: An overview of FlamMap fire modeling capabilities, in: Fuels Management – How to Measure Success, edited by Andrews, P. L. and Butler, B. W., USDA Forest Service, proceedings RMRS-P-41, available at: http://www.treesearch.fs.fed.us/pubs/25948, 213–220, 2006.
FireModels.org: FARSITE Program Download, Version 4.1.055, http://www.firemodels.org/index.php/farsite-software/farsite-downloads (retrieved: July 2014), 2008.
Fromm, M., Tupper, A., Rosenfeld, D., Servranckx, R., and McRae, R.: Violent pyro-convective storm devastates Australia's capital and pollutes the stratosphere, Geophys. Res. Lett., 33, L05815, https://doi.org/10.1029/2005GL025161, 2006.
Grell, G. A., Peckham, S. E., Schmitz, R., McKeen, S. A., Frost, G., Skamarock, W. C., and Eder, B.: Fully coupled "online" chemistry within the WRF model, Atmos. Environ., 39, 6957–6975, https://doi.org/10.1016/j.atmosenv.2005.04.027, 2005.
Janjić, Z. I.: Nonsingular implementation of the Mellor-Yamada level 2.5 scheme in the NCEP Meso model, NCEP Office Note No. 437, available at http://www.emc.ncep.noaa.gov/officenotes/newernotes/on437.pdf (retrieved: May 2014), 2001.
Jordanov, G., Beezley, J. D., Dobrinkova, N., Kochanski, A. K., Mandel, J., and Sousedík, B.: Simulation of the 2009 Harmanli fire (Bulgaria), in: 8th International Conference on Large-Scale Scientific Computations, Sozopol, Bulgaria, 6–10 June 2011, edited by: Lirkov, I., Margenov, S., and Wan\'siewski, J., vol. 7116 of Lecture Notes in Computer Science, Springer, Berlin, Heidelberg, 291–298, https://doi.org/10.1007/978-3-642-29843-1_33, also available as arXiv:1106.4736, 2012.
Kain, J. S. and Fritsch, J. M.: A One-Dimensional Entraining/Detraining Plume Model and Its Application in Convective Parameterization, J. Atmos. Sci., 47, 2784–2802, https://doi.org/10.1175/1520-0469(1990)047<2784:AODEPM>2.0.CO;2, 1990.
Kochanski, A. K., Beezley, J. D., Mandel, J., and Kim, M.: WRF fire simulation coupled with a fuel moisture model and smoke transport by WRF-Chem, 13th WRF Users' Workshop, National Center for Atmospheric Research, 20–24 June 2012, arXiv:1208.1059, 2012.
Kochanski, A. K., Jenkins, M. A., Sun, R., Krueger, S., Abedi, S., and Charney, J.: The importance of low-level environmental vertical wind shear to wildfire propagation: Proof of concept, J. Geophys. Res.-Atmos., 118, 8238–8252, https://doi.org/10.1002/jgrd.50436, 2013a.
Kochanski, A. K., Jenkins, M. A., Krueger, S. K., Mandel, J., and Beezley, J. D.: Real time simulation of 2007 Santa Ana fires, Forest Ecol. Manage., 15, 136–149, https://doi.org/10.1016/j.foreco.2012.12.014, 2013b.
Kochanski, A. K., Jenkins, M. A., Mandel, J., Beezley, J. D., Clements, C. B., and Krueger, S.: Evaluation of WRF-SFIRE performance with field observations from the FireFlux experiment, Geosci. Model Dev., 6, 1109–1126, https://doi.org/10.5194/gmd-6-1109-2013, 2013c.
Kochanski, A. K., Beezley, J. D., Mandel, J., and Clements, C. B.: Air pollution forecasting by coupled atmosphere-fire model WRF and SFIRE with WRF-Chem, in: Proceedings of 4th Fire Behavior and Fuels Conference, 18–22 February 2013, Raleigh, NC and 1–4 July 2013, St. Petersburg, Russia, edited by Wade, D. D. and Fox, R. L., 143–155, International Association of Wildland Fire, Missoula, MT, compiled by: Robinson, M. L., available at: http://www.iawfonline.org/4th_Fuels_Conference_Proceedings_USA-Russia.pdf (last access: July 2014), 2014a.
Kochanski, A. K., Jenkins, M. A., Yedinak, K., Mandel, J., Beezley, J., and Lamb, B.: Toward an integrated system for fire, smoke, and air quality simulations, arXiv:1405.4058, Int. J. Wildland Fire, to appear, 2014b.
Kondratenko, V. Y., Beezley, J. D., Kochanski, A. K., and Mandel, J.: Ignition from a Fire Perimeter in a WRF Wildland Fire Model, Paper 9.6, 12th WRF Users' Workshop, National Center for Atmospheric Research, 20–24 June 2011, http://www.mmm.ucar.edu/wrf/users/workshops/WS2011/WorkshopPapers.php, retrieved: August 2011.
Linn, R. R. and Cunningham, P.: Numerical simulations of grass fires using a coupled atmosphere-fire model: Basic fire behavior and dependence on wind speed, J. Geophys. Res.-Atmos., 110, D13107, https://doi.org/10.1029/2004JD005597, 2005.
Mandel, J., Beezley, J. D., Coen, J. L., and Kim, M.: Data Assimilation for Wildland Fires: Ensemble Kalman filters in coupled atmosphere-surface models, IEEE Control Syst. Mag., 29, 47–65, https://doi.org/10.1109/MCS.2009.932224, 2009.
Mandel, J., Beezley, J. D., and Kochanski, A. K.: Coupled atmosphere-wildland fire modeling with WRF 3.3 and SFIRE 2011, Geosci. Model Dev., 4, 591–610, https://doi.org/10.5194/gmd-4-591-2011, 2011.
Mandel, J., Beezley, J. D., Kochanski, A. K., Kondratenko, V. Y., and Kim, M.: Assimilation of Perimeter Data and Coupling with Fuel Moisture in a Wildland Fire – Atmosphere DDDAS, Procedia Comput. Sci., 9, 1100–1109, https://doi.org/10.1016/j.procs.2012.04.119, 2012.
Matthews, S., J., G., and McCaw, L.: Simple models for predicting dead fuel moisture in eucalyptus forests, Int. J. Wildland Fire, 19, 459–467, https://doi.org/10.1071/WF09005, 2010.
Mell, W., Jenkins, M. A., Gould, J., and Cheney, P.: A physics-based approach to modelling grassland fires, Intl. J. Wildland Fire, 16, 1–22, https://doi.org/10.1071/WF06002, 2007.
Nelson Jr., R. M.: Prediction of diurnal change in 10-h fuel stick moisture content, Can. J. Forest Res., 30, 1071–1087, https://doi.org/10.1139/x00-032, 2000.
Nelson Jr., R. M.: Water Relations of Forest Fuels, in: Forest fires, behavior and ecological effects, edited by: Johnson, E. A. and Miyanishi, K., Academic Press, San Diego, CA, 151–169, 2001.
OpenWFM: Fire code in WRF release, Open Wildland Fire Modeling e-Community, http://www.openwfm.org/wiki/Fire_code_in_WRF_release, last access: November 2012.
OpenWFM: Coupled WRF and SFIRE Model User's Guide, Open Wildland Fire Modeling e-Community, http://www.openwfm.org/wiki/Users_guide, last access: September 2013.
Osher, S. and Fedkiw, R.: Level Set Methods and Dynamic Implicit Surfaces, Springer, New York, 2003.
Peace, M., Mattner, T., and Mills, G.: The Kangaroo Island bushfires of 2007: A meteorological case study and WRF-fire simulation, Paper 3.3, Ninth Symposium on Fire and Forest Meteorology, Palm Springs, October 2011, http://ams.confex.com/ams/9FIRE/webprogram/Paper192200.html (retrieved: June 2012), 2011.
Pyne, S., Andrews, P. L., and Laven, R. D.: Introduction to Wildland Fire, Wiley, New York, 1996.
Regev, B., Amram, S., and Amit, A.: Six Hours Ahead – Predicting Wildfires in Real Time, Innovation Exchange, 16, 34–37, available at: http://mops.gov.il/English/HomelandSecurityENG/NFServices/Pages/FirePredictionSystem.aspx (retrieved: September 2013), 2012.
Ritter, N. and Ruth, M.: GeoTIFF Format Specification: GeoTIFF Revision 1.0, http://www.remotesensing.org/geotiff/spec/geotiffhome.html (retrieved: September 2013), 2000.
Rosenfeld, D., Fromm, M., Trentmann, J., Luderer, G., Andreae, M. O., and Servranckx, R.: The Chisholm firestorm: observed microstructure, precipitation and lightning activity of a pyro-cumulonimbus, Atmos. Chem. Phys., 7, 645–659, https://doi.org/10.5194/acp-7-645-2007, 2007.
Rothermel, R. C.: A Mathematical Model for Predicting Fire Spread in Wildland Fires, USDA Forest Service Research Paper INT-115, http://www.treesearch.fs.fed.us/pubs/32533 (last access: October 2014), 1972.
Schabenberger, O. and Gotway, C. A.: Statistical Methods for Spatial Data Analysis, Chapman & Hall/CRC Texts in Statistical Science, Chapman and Hall/CRC, Boca Raton, FL, 2005.
Sethian, J. A.: Level set methods and fast marching methods, in: vol. 3 of Cambridge Monographs on Applied and Computational Mathematics, 2nd Edn., Cambridge University Press, Cambridge, 1999.
Simpson, C. C., Sharples, J. J., Evans, J. P., and McCabe, M. F.: Large eddy simulation of atypical wildland fire spread on leeward slopes, Int. J. Wildland Fire, 22, 599–614, https://doi.org/10.1071/WF12072, 2013.
Skamarock, W. C., Klemp, J. B., Dudhia, J., Gill, D. O., Barker, D. M., Duda, M. G., Huang, X.-Y., Wang, W., and Powers, J. G.: A Description of the Advanced Research WRF Version 3, NCAR Technical Note 475, http://www.mmm.ucar.edu/wrf/users/docs/arw_v3.pdf (retrieved: December 2011), 2008.
Sullivan, A. and Ball, R.: Thermal decomposition and combustion chemistry of cellulosic biomass, Atmos. Environ., 47, 133–141, https://doi.org/10.1016/j.atmosenv.2011.11.022, 2012.
Sullivan, A. L.: A review of wildland fire spread modelling, 1990–present, 1: Physical and quasi-physical models, 2: Empirical and quasi-empirical models, 3: Mathematical analogues and simulation models, Int. J. Wildland Fire, 18, 1: 347–368, 2: 369–386, 3: 387–403, https://doi.org/10.1071/WF06143, https://doi.org/10.1071/WF06142, https://doi.org/10.1071/WF06144, 2009a.
Sullivan, A. L.: A review of wildland fire spread modelling, 1990–present, 1: Physical and quasi-physical models, Int. J. Wildland Fire, 18, 347–368, https://doi.org/10.1071/WF06143, 2009b.
Sullivan, A. L.: A review of wildland fire spread modelling, 1990–present 2: Empirical and quasi-empirical models, Int. Journal of Wildland Fire, 18, 369–386, https://doi.org/10.1071/WF06142, 2009c.
Sullivan, A. L.: A review of wildland fire spread modelling, 1990–present 3: Mathematical analogues and simulation models, Int. J. Wildland Fire, 18, 387–403, https://doi.org/10.1071/WF06144, 2009d.
USDA Forest Service: Wildland Fire Assessment System (WFAS): Dead Fuel Moisture, http://www.wfas.net/index.php/dead-fuel-moisture-moisture–drought-38, last access: June 2014.
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, 1985.
Vejmelka, M., Kochanski, A. K., and Mandel, J.: Data assimilation of dead fuel moisture observations from remote automatic weather stations, Int. J. Wildland Fire, arXiv:1406.4480, to appear, 2014a.
Vejmelka, M., Kochanski, A. K., and Mandel, J.: Data assimilation of fuel moisture in WRF-SFIRE, in: Proceedings of 4th Fire Behavior and Fuels Conference, 18–22 February 2013, Raleigh, NC and 1–4 July 2013, St. Petersburg, Russia, edited by: Wade, D. D. and Fox, R. L., International Association of Wildland Fire, Missoula, MT, compiled by M. L. Robinson, 122–137, available at: http://www.iawfonline.org/4th_Fuels_Conference_Proceedings_USA-Russia.pdf, last access: July 2014b.
Wiedinmyer, C., Akagi, S. K., Yokelson, R. J., Emmons, L. K., Al-Saadi, J. A., Orlando, J. J., and Soja, A. J.: The Fire INventory from NCAR (FINN): a high resolution global model to estimate the emissions from open burning, Geosci. Model Dev., 4, 625–641, https://doi.org/10.5194/gmd-4-625-2011, 2011.
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