Articles | Volume 20, issue 4
https://doi.org/10.5194/nhess-20-1123-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/nhess-20-1123-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Evaluation of Global Fire Weather Database reanalysis and short-term forecast products
Robert D. Field
CORRESPONDING AUTHOR
Department of Applied Physics and Applied Mathematics, Columbia
University, New York, 10025, USA
NASA Goddard Institute for Space Studies, New York, 10025, USA
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Cited
17 citations as recorded by crossref.
- Are fire refugia less predictable due to climate change? B. Mackey et al. 10.1088/1748-9326/ac2e88
- Climate drivers of global wildfire burned area M. Grillakis et al. 10.1088/1748-9326/ac5fa1
- Disentangling the roles of natural variability and climate change in Canada’s 2023 fire season C. Barnes et al. 10.1088/2752-5295/adec0f
- Relative contribution of anthropogenic warming to the unprecedented heatwave in South America in 2023 C. Li et al. 10.1038/s41612-025-01142-5
- Fire weather index data under historical and shared socioeconomic pathway projections in the 6th phase of the Coupled Model Intercomparison Project from 1850 to 2100 Y. Quilcaille et al. 10.5194/essd-15-2153-2023
- Historical spatiotemporal changes in fire danger potential across biomes J. Baijnath-Rodino et al. 10.1016/j.scitotenv.2023.161954
- Variation in fire danger in the Beijing-Tianjin-Hebei region over the past 30 years and its linkage with atmospheric circulation M. Bai et al. 10.1007/s10584-024-03689-3
- Global variation in ecoregion flammability thresholds T. Ellis et al. 10.1111/ecog.07127
- Forest fire risk estimation in a typical temperate forest in Northeastern China using the Canadian forest fire weather index: case study in autumn 2019 and 2020 M. Masinda et al. 10.1007/s11069-021-05054-4
- Application of the Canadian Fire Weather Index for Forest Fire Danger Assessment in South Korea C. Lim & H. Chae 10.3390/f16071058
- Atmospheric Cascades Shape Wildfire Activity and Fire Management Decision Spaces Across Scales − A Conceptual Framework for Fire Prediction S. Taylor 10.3389/fenvs.2020.527278
- 70 Years of observational weather data show increasing fire danger for boreal Europe and reveal bias of ERA5 reanalysed data J. Sjöström et al. 10.1038/s41598-025-04200-3
- Self-Organizing Map-Based Classification for Fire Weather Index in the Beijing–Tianjin–Hebei Region and Their Potential Causes M. Wu et al. 10.3390/atmos16040403
- Mapping China’s Forest Fire Risks with Machine Learning Y. Shao et al. 10.3390/f13060856
- Spatiotemporal Characteristics, Causes, and Prediction of Wildfires in North China: A Study Using Satellite, Reanalysis, and Climate Model Datasets M. Bai et al. 10.3390/rs17061038
- Using hydrological modelling to improve the Fire Weather Index system over tropical peatlands of peninsular Malaysia, Sumatra and Borneo J. Mortelmans et al. 10.1071/WF24057
- Improving the fire weather index system for peatlands using peat-specific hydrological input data J. Mortelmans et al. 10.5194/nhess-24-445-2024
17 citations as recorded by crossref.
- Are fire refugia less predictable due to climate change? B. Mackey et al. 10.1088/1748-9326/ac2e88
- Climate drivers of global wildfire burned area M. Grillakis et al. 10.1088/1748-9326/ac5fa1
- Disentangling the roles of natural variability and climate change in Canada’s 2023 fire season C. Barnes et al. 10.1088/2752-5295/adec0f
- Relative contribution of anthropogenic warming to the unprecedented heatwave in South America in 2023 C. Li et al. 10.1038/s41612-025-01142-5
- Fire weather index data under historical and shared socioeconomic pathway projections in the 6th phase of the Coupled Model Intercomparison Project from 1850 to 2100 Y. Quilcaille et al. 10.5194/essd-15-2153-2023
- Historical spatiotemporal changes in fire danger potential across biomes J. Baijnath-Rodino et al. 10.1016/j.scitotenv.2023.161954
- Variation in fire danger in the Beijing-Tianjin-Hebei region over the past 30 years and its linkage with atmospheric circulation M. Bai et al. 10.1007/s10584-024-03689-3
- Global variation in ecoregion flammability thresholds T. Ellis et al. 10.1111/ecog.07127
- Forest fire risk estimation in a typical temperate forest in Northeastern China using the Canadian forest fire weather index: case study in autumn 2019 and 2020 M. Masinda et al. 10.1007/s11069-021-05054-4
- Application of the Canadian Fire Weather Index for Forest Fire Danger Assessment in South Korea C. Lim & H. Chae 10.3390/f16071058
- Atmospheric Cascades Shape Wildfire Activity and Fire Management Decision Spaces Across Scales − A Conceptual Framework for Fire Prediction S. Taylor 10.3389/fenvs.2020.527278
- 70 Years of observational weather data show increasing fire danger for boreal Europe and reveal bias of ERA5 reanalysed data J. Sjöström et al. 10.1038/s41598-025-04200-3
- Self-Organizing Map-Based Classification for Fire Weather Index in the Beijing–Tianjin–Hebei Region and Their Potential Causes M. Wu et al. 10.3390/atmos16040403
- Mapping China’s Forest Fire Risks with Machine Learning Y. Shao et al. 10.3390/f13060856
- Spatiotemporal Characteristics, Causes, and Prediction of Wildfires in North China: A Study Using Satellite, Reanalysis, and Climate Model Datasets M. Bai et al. 10.3390/rs17061038
- Using hydrological modelling to improve the Fire Weather Index system over tropical peatlands of peninsular Malaysia, Sumatra and Borneo J. Mortelmans et al. 10.1071/WF24057
- Improving the fire weather index system for peatlands using peat-specific hydrological input data J. Mortelmans et al. 10.5194/nhess-24-445-2024
Latest update: 15 Aug 2025
Short summary
This paper compares fire weather indices calculated from the NASA MERRA-2 reanlaysis to those calculated from a global network of weather stations, finding that, globally, biases in reanalysis fire weather are influenced firstly by temperature and relative humidity and, in certain regions, by precipitation biases. Fire weather forecasts using short-term NASA GEOS-5 weather forecasts are skillful 2 d ahead of time. This skill decreases more quickly with longer lead times at high latitudes.
This paper compares fire weather indices calculated from the NASA MERRA-2 reanlaysis to those...
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