Articles | Volume 15, issue 3
https://doi.org/10.5194/nhess-15-443-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/nhess-15-443-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
06 Mar 2015
Research article |
| 06 Mar 2015
Calibration of FARSITE simulator in northern Iranian forests
R. Jahdi
CORRESPONDING AUTHOR
University of Tehran, Faculty of Natural Resources, P.O. Box 4314, Zobe Ahan Street, 3158777878 Karaj, Iran
Euro-Mediterranean Center on Climate Changes (CMCC), IAFENT Division, Via De Nicola 9, 07100 Sassari, Italy
University of Sassari, Department of Science for Nature and Environmental Resources (DIPNET), Via Enrico De Nicola 9, 07100 Sassari, Italy
A. A. Darvishsefat
University of Tehran, Faculty of Natural Resources, P.O. Box 4314, Zobe Ahan Street, 3158777878 Karaj, Iran
M. A. Mostafavi
Université Laval, Center for Research in Geomatics (CRG) 1055, Avenue du Séminaire, Pavillon Louis-Jacques-Casault, Québec G1V 0A6, QC, Canada
F. Alcasena
University of Lleida, Department of Agricultural and Forest Engineering (EAGROF), Alcalde Rovira Roure 191, 25198 Lleida, Spain
Euro-Mediterranean Center on Climate Changes (CMCC), IAFENT Division, Via De Nicola 9, 07100 Sassari, Italy
V. Etemad
University of Tehran, Faculty of Natural Resources, P.O. Box 4314, Zobe Ahan Street, 3158777878 Karaj, Iran
O. Lozano
University of Sassari, Department of Science for Nature and Environmental Resources (DIPNET), Via Enrico De Nicola 9, 07100 Sassari, Italy
Euro-Mediterranean Center on Climate Changes (CMCC), IAFENT Division, Via De Nicola 9, 07100 Sassari, Italy
University of Sassari, Department of Science for Nature and Environmental Resources (DIPNET), Via Enrico De Nicola 9, 07100 Sassari, Italy
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Sara Shahsavarani and Mir Abolfazl Mostafavi
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Alireza Habibi Khouzani, Mahmoud Reza Delavar, Armin Moghimi, Chiranjit Singha, and Mir Abolfazl Mostafavi
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Mohammad Hasan Zali, Mohammad Ghanbarei Baba Ahmadi, Meysam Argany, and Mir Abolfazl Mostafavi
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Mohammad Mahdi Kariminejad, Mir Abolfazl Mostafavi, Mohammad Ali Sharifi, and Alireza Amiri-Simkooei
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Milad Moradi, Stéphane Roche, and Mir Abolfazl Mostafavi
Adv. Cartogr. GIScience Int. Cartogr. Assoc., 5, 22, https://doi.org/10.5194/ica-adv-5-22-2025, https://doi.org/10.5194/ica-adv-5-22-2025, 2025
Mohammad Hasan Zali, Meysam Argany, and Mir Abolfazl Mostafavi
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., X-G-2025, 1027–1035, https://doi.org/10.5194/isprs-annals-X-G-2025-1027-2025, https://doi.org/10.5194/isprs-annals-X-G-2025-1027-2025, 2025
Jacob A. Nelson, Sophia Walther, Fabian Gans, Basil Kraft, Ulrich Weber, Kimberly Novick, Nina Buchmann, Mirco Migliavacca, Georg Wohlfahrt, Ladislav Šigut, Andreas Ibrom, Dario Papale, Mathias Göckede, Gregory Duveiller, Alexander Knohl, Lukas Hörtnagl, Russell L. Scott, Jiří Dušek, Weijie Zhang, Zayd Mahmoud Hamdi, Markus Reichstein, Sergio Aranda-Barranco, Jonas Ardö, Maarten Op de Beeck, Dave Billesbach, David Bowling, Rosvel Bracho, Christian Brümmer, Gustau Camps-Valls, Shiping Chen, Jamie Rose Cleverly, Ankur Desai, Gang Dong, Tarek S. El-Madany, Eugenie Susanne Euskirchen, Iris Feigenwinter, Marta Galvagno, Giacomo A. Gerosa, Bert Gielen, Ignacio Goded, Sarah Goslee, Christopher Michael Gough, Bernard Heinesch, Kazuhito Ichii, Marcin Antoni Jackowicz-Korczynski, Anne Klosterhalfen, Sara Knox, Hideki Kobayashi, Kukka-Maaria Kohonen, Mika Korkiakoski, Ivan Mammarella, Mana Gharun, Riccardo Marzuoli, Roser Matamala, Stefan Metzger, Leonardo Montagnani, Giacomo Nicolini, Thomas O'Halloran, Jean-Marc Ourcival, Matthias Peichl, Elise Pendall, Borja Ruiz Reverter, Marilyn Roland, Simone Sabbatini, Torsten Sachs, Marius Schmidt, Christopher R. Schwalm, Ankit Shekhar, Richard Silberstein, Maria Lucia Silveira, Donatella Spano, Torbern Tagesson, Gianluca Tramontana, Carlo Trotta, Fabio Turco, Timo Vesala, Caroline Vincke, Domenico Vitale, Enrique R. Vivoni, Yi Wang, William Woodgate, Enrico A. Yepez, Junhui Zhang, Donatella Zona, and Martin Jung
Biogeosciences, 21, 5079–5115, https://doi.org/10.5194/bg-21-5079-2024, https://doi.org/10.5194/bg-21-5079-2024, 2024
Short summary
Short summary
The movement of water, carbon, and energy from the Earth's surface to the atmosphere, or flux, is an important process to understand because it impacts our lives. Here, we outline a method called FLUXCOM-X to estimate global water and CO2 fluxes based on direct measurements from sites around the world. We go on to demonstrate how these new estimates of net CO2 uptake/loss, gross CO2 uptake, total water evaporation, and transpiration from plants compare to previous and independent estimates.
Z. Wang, S. Zlatanova, M. A. Mostafavi, K. Khoshelham, L. Díaz-Vilariño, and K.-J. Li
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Elena Aragoneses, Mariano García, Michele Salis, Luís M. Ribeiro, and Emilio Chuvieco
Earth Syst. Sci. Data, 15, 1287–1315, https://doi.org/10.5194/essd-15-1287-2023, https://doi.org/10.5194/essd-15-1287-2023, 2023
Short summary
Short summary
We present a new hierarchical fuel classification system with a total of 85 fuels that is useful for preventing fire risk at different spatial scales. Based on this, we developed a European fuel map (1 km resolution) using land cover datasets, biogeographic datasets, and bioclimatic modelling. We validated the map by comparing it to high-resolution data, obtaining high overall accuracy. Finally, we developed a crosswalk for standard fuel models as a first assignment of fuel parameters.
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
Short summary
Short summary
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.
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Short summary
This work aimed to calibrate FARSITE simulator using a set of wildfires that occurred in north Iranian forests. Fire modeling showed a high potential for estimating spatial variability in fire spread and behavior of the case studies selected. This paper represents a first step in the application of fire spread modeling in northern Iran in wildfire risk monitoring and management. The methodology can be replicated in other Caspian ecosystems to characterize fire spread and behavior.
This work aimed to calibrate FARSITE simulator using a set of wildfires that occurred in north...
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