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来源类型 | Article |
规范类型 | 其他 |
DOI | 10.1071/WF15012 |
Regional aspects of modelling burned areas in Europe. | |
Khabarov N; Migliavacca M; Kraxner F; Obersteiner M | |
发表日期 | 2016 |
出处 | International Journal of Wildland Fire 25 (8): 811-818 |
出版年 | 2016 |
语种 | 英语 |
摘要 | This paper presents a series of improvements to the quantitative modelling of burned areas in Europe under historical climate. The Standalone Fire Model (SFM) based on a state-of-the-art large scale mechanistic fire modelling algorithm is used to reproduce historical burned areas reported in the two publicly available datasets – European Forest Fire Information System (EFFIS) and Global Fire Emissions Database (GFED). The most recent versions of these sources allow a broader validation of SFM’s modelled burned areas at a country level. Our analysis is carried out for the years 2000–2008 for 17 European countries utilising both EFFIS and GFED datasets for model benchmarking. We suggest improving the original model by modifying the fire probability function reflecting fuel moisture. This modification allows for a dramatic improvement of accuracy in modelled burned areas for a range of European countries. We also explore in detail a pixel-level parametrisation of firefighting efficiency in SFM along with modifications of the biomass map. In comparison with the aggregated country-level approach, the advantages of the finer calibration are quite minor for the most recent version of the GFED dataset. Overall, the annual burned areas modelled by this improved SFM version are in good agreement with historical observations. |
主题 | Ecosystems Services and Management (ESM) |
关键词 | fire model, fuel moisture, probability of fire, validation |
URL | http://pure.iiasa.ac.at/id/eprint/11871/ |
来源智库 | International Institute for Applied Systems Analysis (Austria) |
引用统计 | |
资源类型 | 智库出版物 |
条目标识符 | http://119.78.100.153/handle/2XGU8XDN/130664 |
推荐引用方式 GB/T 7714 | Khabarov N,Migliavacca M,Kraxner F,et al. Regional aspects of modelling burned areas in Europe.. 2016. |
条目包含的文件 | ||||||
文件名称/大小 | 资源类型 | 版本类型 | 开放类型 | 使用许可 | ||
Regional%20Aspects%2(816KB) | 智库出版物 | 限制开放 | CC BY-NC-SA | 浏览 |
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