51 citations as recorded by crossref.

1. Forecasting the regional fire radiative power for regularly ignited vegetation fires T. Partanen & M. Sofiev 10.5194/nhess-22-1335-2022
2. Global data-driven prediction of fire activity F. Di Giuseppe et al. 10.1038/s41467-025-58097-7
3. Sensitivity of biomass burning emissions estimates to land surface information M. Saito et al. 10.5194/bg-19-2059-2022
4. Ozone source attribution in polluted European areas during summer 2017 as simulated with MECO(n) M. Kilian et al. 10.5194/acp-24-13503-2024
5. Severe Global Environmental Issues Caused by Canada’s Record-Breaking Wildfires in 2023 Z. Wang et al. 10.1007/s00376-023-3241-0
6. Crop residue burning in China (2019–2021): Spatiotemporal patterns, environmental impact, and emission dynamics Q. Lv et al. 10.1016/j.ese.2024.100394
7. Spatiotemporal analysis of weather-related fire danger associated with climate change in the Zagros Mountains, Iran G. Roshan et al. 10.1007/s00477-024-02850-9
8. Detection and attribution of wildfire pollution in the Arctic and northern midlatitudes using a network of Fourier-transform infrared spectrometers and GEOS-Chem E. Lutsch et al. 10.5194/acp-20-12813-2020
9. Status and future of numerical atmospheric aerosol prediction with a focus on data requirements A. Benedetti et al. 10.5194/acp-18-10615-2018
10. Quantifying variability, source, and transport of CO in the urban areas over the Himalayas and Tibetan Plateau Y. Sun et al. 10.5194/acp-21-9201-2021
11. Assessment of environmental consequences of hostilities: Tropospheric NO2 vertical column amounts in the atmosphere over Ukraine in 2019–2022 L. Malytska et al. 10.1016/j.atmosenv.2023.120281
12. The relationship between wind speed and satellite measurements of fire radiative power B. Potter & K. Tannhauser 10.1071/WF22177
13. Fire Weather Index: the skill provided by the European Centre for Medium-Range Weather Forecasts ensemble prediction system F. Di Giuseppe et al. 10.5194/nhess-20-2365-2020
14. Harmonized Emissions Component (HEMCO) 3.0 as a versatile emissions component for atmospheric models: application in the GEOS-Chem, NASA GEOS, WRF-GC, CESM2, NOAA GEFS-Aerosol, and NOAA UFS models H. Lin et al. 10.5194/gmd-14-5487-2021
15. A Global Bottom‐Up Approach to Estimate Fuel Consumed by Fires Using Above Ground Biomass Observations F. Di Giuseppe et al. 10.1029/2021GL095452
16. The effect of wildfires on flood risk: a multi-hazard flood risk approach for the Ebro River basin, Spain S. Sutanto et al. 10.5194/nhess-24-3703-2024
17. Global Carbon Budget 2023 P. Friedlingstein et al. 10.5194/essd-15-5301-2023
18. Evaluation of air quality forecasting system FORAIR-IT over Europe and Italy at high resolution for year 2017 M. Adani et al. 10.1016/j.apr.2022.101456
19. A study on wildfire impacts on greenhouse gas emissions and regional air quality in South of Orléans, France C. Xue et al. 10.1016/j.jes.2022.08.032
20. Estimating air pollutant emissions from the 2024 wildfires in Canada and the impact on air quality M. Filonchyk et al. 10.1016/j.gr.2024.12.012
21. Empirical estimates of regional carbon budgets imply reduced global soil heterotrophic respiration P. Ciais et al. 10.1093/nsr/nwaa145
22. New Inventories of Global Carbon Dioxide Emissions through Biomass Burning in 2001–2020 T. Shiraishi et al. 10.3390/rs13101914
23. Near-real-time CO2 fluxes from CarbonTracker Europe for high-resolution atmospheric modeling A. van der Woude et al. 10.5194/essd-15-579-2023
24. Estimation of Cs-137 emissions during wildfires and dust storm in Chernobyl Exclusion Zone in April 2020 using ensemble iterative source inversion method I. Kovalets et al. 10.1016/j.atmosenv.2022.119305
25. Estimation of Biomass Burning Emissions in South and Southeast Asia Based on FY-4A Satellite Observations Y. Wang et al. 10.3390/atmos16050582
26. Global decadal measurements of methanol, ethene, ethyne, and HCN from the Cross-track Infrared Sounder K. Wells et al. 10.5194/amt-18-695-2025
27. Fourier transform infrared time series of tropospheric HCN in eastern China: seasonality, interannual variability, and source attribution Y. Sun et al. 10.5194/acp-20-5437-2020
28. Definitions and methods to estimate regional land carbon fluxes for the second phase of the REgional Carbon Cycle Assessment and Processes Project (RECCAP-2) P. Ciais et al. 10.5194/gmd-15-1289-2022
29. Characterisation of African biomass burning plumes and impacts on the atmospheric composition over the south-west Indian Ocean B. Verreyken et al. 10.5194/acp-20-14821-2020
30. Simulation of Fire Occurrence Based on Historical Data in Future Climate Scenarios and Its Practical Verification M. Wang et al. 10.3390/fire7100346
31. Using OCO-2 Observations to Constrain Regional CO2 Fluxes Estimated with the Vegetation, Photosynthesis and Respiration Model I. Konovalov et al. 10.3390/rs17020177
32. Climate Change, Forest Fires, and Territorial Dynamics in the Amazon Rainforest: An Integrated Analysis for Mitigation Strategies N. Celis et al. 10.3390/ijgi12100436
33. Methodology for Lidar Monitoring of Biomass Burning Smoke in Connection with the Land Cover M. Adam et al. 10.3390/rs14194734
34. Burned area and carbon emissions across northwestern boreal North America from 2001–2019 S. Potter et al. 10.5194/bg-20-2785-2023
35. Road fragment edges enhance wildfire incidence and intensity, while suppressing global burned area S. Bowring et al. 10.1038/s41467-024-53460-6
36. The Performance of ECMWF Ensemble Prediction System for European Extreme Fires: Portugal/Monchique in 2018 R. Durão et al. 10.3390/atmos13081239
37. The Global Fire Atlas of individual fire size, duration, speed and direction N. Andela et al. 10.5194/essd-11-529-2019
38. Prediction and data mining of burned areas of forest fires: Optimized data matching and mining algorithm provides valuable insight D. Wood 10.1016/j.aiia.2021.01.004
39. Evaluation of Global Fire Weather Database reanalysis and short-term forecast products R. Field 10.5194/nhess-20-1123-2020
40. Forecasting Daily Wildfire Activity Using Poisson Regression C. Graff et al. 10.1109/TGRS.2020.2968029
41. Machine learning to predict final fire size at the time of ignition S. Coffield et al. 10.1071/WF19023
42. The key role of forest disturbance in reconciling estimates of the northern carbon sink M. O’Sullivan et al. 10.1038/s43247-024-01827-4
43. The Carbon Cycle of Southeast Australia During 2019–2020: Drought, Fires, and Subsequent Recovery B. Byrne et al. 10.1029/2021AV000469
44. Prescribed Burning Reduces Large, High-Intensity Wildfires and Emissions in the Brazilian Savanna F. Santos et al. 10.3390/fire4030056
45. Assessing Pan-Canada wildfire susceptibility by integrating satellite data with novel hybrid deep learning and black widow optimizer algorithms K. Khosravi et al. 10.1016/j.scitotenv.2025.179369
46. Constraining biospheric carbon dioxide fluxes by combined top-down and bottom-up approaches S. Upton et al. 10.5194/acp-24-2555-2024
47. Soil respiration–driven CO 2 pulses dominate Australia’s flux variability E. Metz et al. 10.1126/science.add7833
48. A Comprehensive Assessment of Anthropogenic and Natural Sources and Sinks of Australasia's Carbon Budget Y. Villalobos et al. 10.1029/2023GB007845
49. Can Delhi's Pollution be Affected by Crop Fires in the Punjab Region? M. Takigawa et al. 10.2151/sola.2020-015
50. Toward Global Mapping of Methane With TROPOMI: First Results and Intersatellite Comparison to GOSAT H. Hu et al. 10.1002/2018GL077259
51. Temperature extremes of 2022 reduced carbon uptake by forests in Europe A. van der Woude et al. 10.1038/s41467-023-41851-0