133 citations as recorded by crossref.

1. Air quality modeling intercomparison and multiscale ensemble chain for Latin America J. Pachón et al. 10.5194/gmd-17-7467-2024
2. Analysis of the emission inventories and model-ready emission datasets of Europe and North America for phase 2 of the AQMEII project G. Pouliot et al. 10.1016/j.atmosenv.2014.10.061
3. LSA SAF Meteosat FRP products – Part 1: Algorithms, product contents, and analysis M. Wooster et al. 10.5194/acp-15-13217-2015
4. Intercomparison of NO<sub><i>x</i></sub> emission inventories over East Asia J. Ding et al. 10.5194/acp-17-10125-2017
5. A bottom-up emission estimate for the 2022 Nord Stream gas leak: derivation, simulations, and evaluation R. Kouznetsov et al. 10.5194/acp-24-4675-2024
6. Simulation study of radionuclide atmospheric transport after wildland fires in the Chernobyl Exclusion Zone in April 2020 M. Таlerko et al. 10.1016/j.apr.2021.01.010
7. Improving air quality modelling systems by using on-line wild land fire forecasting tools coupled into WRF/Chem simulations over Europe R. Jose et al. 10.1016/j.uclim.2016.09.001
8. Forecasting the regional fire radiative power for regularly ignited vegetation fires T. Partanen & M. Sofiev 10.5194/nhess-22-1335-2022
9. Operational model evaluation for particulate matter in Europe and North America in the context of AQMEII E. Solazzo et al. 10.1016/j.atmosenv.2012.02.045
10. Saharan Dust Modeling Over the Mediterranean Basin and Central Europe: Does the Resolution Matter? L. Palacios-Peña et al. 10.3389/feart.2019.00290
11. The collection 6 MODIS active fire detection algorithm and fire products L. Giglio et al. 10.1016/j.rse.2016.02.054
12. Intercomparison of air quality data using principal component analysis, and forecasting of PM10 and PM2.5 concentrations using artificial neural networks, in Thessaloniki and Helsinki D. Voukantsis et al. 10.1016/j.scitotenv.2010.12.039
13. Prescribed burning of logging slash in the boreal forest of Finland: emissions and effects on meteorological quantities and soil properties A. Virkkula et al. 10.5194/acp-14-4473-2014
14. Global mapping of maximum emission heights and resulting vertical profiles of wildfire emissions M. Sofiev et al. 10.5194/acp-13-7039-2013
15. Ozone production from the interaction of wildfire and biogenic emissions: a case study in Russia during spring 2006 E. Bossioli et al. 10.5194/acp-12-7931-2012
16. Application of chemical transport model CMAQ to policy decisions regarding PM2.5 in the UK C. Chemel et al. 10.1016/j.atmosenv.2013.10.001
17. Smoke dispersion modeling over complex terrain using high resolution meteorological data and satellite observations – The FireHub platform S. Solomos et al. 10.1016/j.atmosenv.2015.08.066
18. The importance of the representation of air pollution emissions for the modeled distribution and radiative effects of black carbon in the Arctic J. Schacht et al. 10.5194/acp-19-11159-2019
19. SILAM and MACC reanalysis aerosol data used for simulating the aerosol direct radiative effect with the NWP model HARMONIE for summer 2010 wildfire case in Russia V. Toll et al. 10.1016/j.atmosenv.2015.06.007
20. Satellite contributions to the quantitative characterization of biomass burning for climate modeling C. Ichoku et al. 10.1016/j.atmosres.2012.03.007
21. Technical note: Intermittent reduction of the stratospheric ozone over northern Europe caused by a storm in the Atlantic Ocean M. Sofiev et al. 10.5194/acp-20-1839-2020
22. Evaluation of 137Cs, 133Xe and 3H activity concentrations monitored in the Arctic atmosphere W. Zhang et al. 10.1016/j.jenvrad.2022.107013
23. Fire in the Air: Biomass Burning Impacts in a Changing Climate M. Keywood et al. 10.1080/10643389.2011.604248
24. A new implementation of FLEXPART with Enviro-HIRLAM meteorological input, and a case study during a heavy air pollution event B. Foreback et al. 10.1080/20964471.2024.2316320
25. Evaluating the representation of aerosol optical properties using an online coupled model over the Iberian Peninsula L. Palacios-Peña et al. 10.5194/acp-17-277-2017
26. Organic aerosol concentration and composition over Europe: insights from comparison of regional model predictions with aerosol mass spectrometer factor analysis C. Fountoukis et al. 10.5194/acp-14-9061-2014
27. APIFLAME v1.0: high-resolution fire emission model and application to the Euro-Mediterranean region S. Turquety et al. 10.5194/gmd-7-587-2014
28. Regional effects of atmospheric aerosols on temperature: an evaluation of an ensemble of online coupled models R. Baró et al. 10.5194/acp-17-9677-2017
29. Estimation of black carbon emissions from Siberian fires using satellite observations of absorption and extinction optical depths I. Konovalov et al. 10.5194/acp-18-14889-2018
30. Hindcast experiments of tropospheric composition during the summer 2010 fires over western Russia V. Huijnen et al. 10.5194/acp-12-4341-2012
31. Satellite constellation design for forest fire monitoring via a stochastic programing approach A. Hoskins et al. 10.1002/nav.21781
32. Predicted Concentrations and Optical Properties of Brown Carbon from Biomass Burning over Europe K. Skyllakou et al. 10.1021/acsestair.4c00032
33. A review of operational, regional-scale, chemical weather forecasting models in Europe J. Kukkonen et al. 10.5194/acp-12-1-2012
34. Evaluation of 137cs, 133xe and 3h Activity Concentrations Monitored in the Arctic Atmosphere W. Zhang et al. 10.2139/ssrn.4133598
35. Impact of forest fires, biogenic emissions and high temperatures on the elevated Eastern Mediterranean ozone levels during the hot summer of 2007 Ø. Hodnebrog et al. 10.5194/acp-12-8727-2012
36. Atmospheric composition in the Eastern Mediterranean: Influence of biomass burning during summertime using the WRF-Chem model E. Bossioli et al. 10.1016/j.atmosenv.2016.03.011
37. Estimation of the influence that natural fires have on air pollution in the region of Moscow megalopolis based on the combined use of chemical transport model and measurement data I. Konovalov et al. 10.1134/S0001433811040062
38. Investigation of the Fire Radiative Energy Biomass Combustion Coefficient: A Comparison of Polar and Geostationary Satellite Retrievals Over the Conterminous United States F. Li et al. 10.1002/2017JG004279
39. Chemical composition of fine particles in fresh smoke plumes from boreal wild-land fires in Europe K. Saarnio et al. 10.1016/j.scitotenv.2010.03.010
40. New GOES imager algorithms for cloud and active fire detection and fire radiative power assessment across North, South and Central America W. Xu et al. 10.1016/j.rse.2010.03.012
41. Light-absorbing carbon in Europe – measurement and modelling, with a focus on residential wood combustion emissions J. Genberg et al. 10.5194/acp-13-8719-2013
42. Evaluation of Novel NASA Moderate Resolution Imaging Spectroradiometer and Visible Infrared Imaging Radiometer Suite Aerosol Products and Assessment of Smoke Height Boundary Layer Ratio During Extreme Smoke Events in the Western USA S. Loría‐Salazar et al. 10.1029/2020JD034180
43. Evaluation of seven European aerosol optical depth retrieval algorithms for climate analysis G. de Leeuw et al. 10.1016/j.rse.2013.04.023
44. Evaluation of a Wildfire Smoke Forecasting System as a Tool for Public Health Protection J. Yao et al. 10.1289/ehp.1306768
45. Biomass Burning in Northeast China over Two Decades: Temporal Trends and Geographic Patterns H. Huang et al. 10.3390/rs16111911
46. Effects of Coexposure to Air Pollution from Vegetation Fires and Extreme Heat on Mortality in Upper Northern Thailand A. Uttajug et al. 10.1021/acs.est.3c08074
47. The European aerosol budget in 2006 J. Aan de Brugh et al. 10.5194/acp-11-1117-2011
48. Assessment of the MACC reanalysis and its influence as chemical boundary conditions for regional air quality modeling in AQMEII-2 L. Giordano et al. 10.1016/j.atmosenv.2015.02.034
49. Sensitivity of feedback effects in CBMZ/MOSAIC chemical mechanism R. San José et al. 10.1016/j.atmosenv.2015.04.030
50. An emergency response model for the formation and dispersion of plumes originating from major fires (BUOYANT v4.20) J. Kukkonen et al. 10.5194/gmd-15-4027-2022
51. Influence of grid resolution and meteorological forcing on simulated European air quality: A sensitivity study with the modeling system COSMO–MUSCAT R. Wolke et al. 10.1016/j.atmosenv.2012.02.085
52. Wildfire and prescribed burning impacts on air quality in the United States D. Jaffe et al. 10.1080/10962247.2020.1749731
53. Introducing the geostationary environment monitoring spectrometer W. Choi 10.1117/1.JRS.12.044005
54. Evaluation of the performance of four chemical transport models in predicting the aerosol chemical composition in Europe in 2005 M. Prank et al. 10.5194/acp-16-6041-2016
55. An assessment of aerosol optical properties from remote-sensing observations and regional chemistry–climate coupled models over Europe L. Palacios-Peña et al. 10.5194/acp-18-5021-2018
56. Aerosol absorption over the Aegean Sea under northern summer winds G. Methymaki et al. 10.1016/j.atmosenv.2020.117533
57. Quantifying the sensitivity of aerosol optical properties to the parameterizations of physico-chemical processes during the 2010 Russian wildfires and heatwave L. Palacios-Peña et al. 10.5194/acp-20-9679-2020
58. Two global data sets of daily fire emission injection heights since 2003 S. Rémy et al. 10.5194/acp-17-2921-2017
59. The Alberta smoke plume observation study K. Anderson et al. 10.5194/essd-10-325-2018
60. Enviro-HIRLAM model estimates of elevated black carbon pollution over Ukraine resulted from forest fires M. Savenets et al. 10.5194/acp-22-15777-2022
61. Applicability of an integrated plume rise model for the dispersion from wild-land fires J. Kukkonen et al. 10.5194/gmd-7-2663-2014
62. Tropical and Boreal Forest – Atmosphere Interactions: A Review P. Artaxo et al. 10.16993/tellusb.34
63. Mortality due to Vegetation Fire–Originated PM 2.5 Exposure in Europe—Assessment for the Years 2005 and 2008 V. Kollanus et al. 10.1289/EHP194
64. Rapid transformation of wildfire emissions to harmful background aerosol C. Vasilakopoulou et al. 10.1038/s41612-023-00544-7
65. Using SEVIRI fire observations to drive smoke plumes in the CMAQ air quality model: a case study over Antalya in 2008 G. Baldassarre et al. 10.5194/acp-15-8539-2015
66. Long-term variations in PM2.5 emission from open biomass burning in Northeast Asia derived from satellite-derived data for 2000–2013 Z. Shon 10.1016/j.atmosenv.2015.02.038
67. Evaluation of the smoke-injection height from wild-land fires using remote-sensing data M. Sofiev et al. 10.5194/acp-12-1995-2012
68. APIFLAME v2.0 biomass burning emissions model: impact of refined input parameters on atmospheric concentration in Portugal in summer 2016 S. Turquety et al. 10.5194/gmd-13-2981-2020
69. A risk based application of the regional model CMAQ to policy decisions B. Fisher et al. 10.1016/j.apr.2015.09.004
70. Linking climate and air quality over Europe: effects of meteorology on PM<sub>2.5</sub> concentrations A. Megaritis et al. 10.5194/acp-14-10283-2014
71. Biomass-burning smoke heights over the Amazon observed from space L. Gonzalez-Alonso et al. 10.5194/acp-19-1685-2019
72. Particulate matter modelling techniques for epidemiological studies of open biomass fire smoke exposure: a review A. Johnson et al. 10.1007/s11869-019-00771-z
73. Atmospheric impacts of the 2010 Russian wildfires: integrating modelling and measurements of an extreme air pollution episode in the Moscow region I. Konovalov et al. 10.5194/acp-11-10031-2011
74. Correcting Swath-Dependent Bias of MODIS FRP Observations With Quantile Mapping I. Kaur et al. 10.3390/rs11101205
75. The Eyjafjallajökull ash plume – Part 2: Simulating ash cloud dispersion with REMOTE C. O'Dowd et al. 10.1016/j.atmosenv.2011.10.037
76. Biomass burning aerosol impact on surface winds during the 2010 Russian heat wave R. Baró et al. 10.1002/2016GL071484
77. The role of semi-volatile organic compounds in the mesoscale evolution of biomass burning aerosol: a modeling case study of the 2010 mega-fire event in Russia I. Konovalov et al. 10.5194/acp-15-13269-2015
78. Sensitivity of aerosol optical properties to the aerosol size distribution over central Europe and the Mediterranean Basin using the WRF-Chem v.3.9.1.1 coupled model L. Palacios-Peña et al. 10.5194/gmd-13-5897-2020
79. The 2023 report of the Lancet Countdown on health and climate change: the imperative for a health-centred response in a world facing irreversible harms M. Romanello et al. 10.1016/S0140-6736(23)01859-7
80. Uncertainties of wild-land fires emission in AQMEII phase 2 case study J. Soares et al. 10.1016/j.atmosenv.2015.01.068
81. Daily global fire radiative power fields estimation from one or two MODIS instruments S. Remy & J. Kaiser 10.5194/acp-14-13377-2014
82. Constraining CO<sub>2</sub> emissions from open biomass burning by satellite observations of co-emitted species: a method and its application to wildfires in Siberia I. Konovalov et al. 10.5194/acp-14-10383-2014
83. SIGNATURES OF WILDFIRES CAUSED BY HOSTILITIES USING THE RESULTS OF SPACE PHOTOGRAPHY A. Oreshchenko 10.15407/Meteorology2022.02.054
84. Evaluation of operational on-line-coupled regional air quality models over Europe and North America in the context of AQMEII phase 2. Part I: Ozone U. Im et al. 10.1016/j.atmosenv.2014.09.042
85. A latent process model for forecasting multiple time series in environmental public health surveillance K. Morrison et al. 10.1002/sim.6904
86. Biomass burning emissions estimated with a global fire assimilation system based on observed fire radiative power J. Kaiser et al. 10.5194/bg-9-527-2012
87. Cleaner fuels for ships provide public health benefits with climate tradeoffs M. Sofiev et al. 10.1038/s41467-017-02774-9
88. A European open access chemical weather forecasting portal T. Balk et al. 10.1016/j.atmosenv.2010.09.058
89. Evaluation of operational online-coupled regional air quality models over Europe and North America in the context of AQMEII phase 2. Part II: Particulate matter U. Im et al. 10.1016/j.atmosenv.2014.08.072
90. The impact of biomass burning on upper tropospheric carbon monoxide: a study using MOCAGE global model and IAGOS airborne data M. Cussac et al. 10.5194/acp-20-9393-2020
91. The model study of the wildfire impact on the spatial distribution of deposition of sulfur and nitrogen compounds in Siberia E. Berezin et al. 10.3103/S1068373913110046
92. Analysis of the WRF-Chem contributions to AQMEII phase2 with respect to aerosol radiative feedbacks on meteorology and pollutant distributions R. Forkel et al. 10.1016/j.atmosenv.2014.10.056
93. Fires as a source of annual ambient PM2.5 exposure and chronic health impacts in Europe S. Chowdhury et al. 10.1016/j.scitotenv.2024.171314
94. Regional modelling of Saharan dust and biomass-burning smoke: Part 1: Model description and evaluation B. Heinold et al. 10.1111/j.1600-0889.2011.00570.x
95. Comparison of PMCAMx aerosol optical depth predictions over Europe with AERONET and MODIS measurements A. Panagiotopoulou et al. 10.5194/gmd-9-4257-2016
96. The 2022 report of the Lancet Countdown on health and climate change: health at the mercy of fossil fuels M. Romanello et al. 10.1016/S0140-6736(22)01540-9
97. A modeling study of the impact of the 2007 Greek forest fires on the gaseous pollutant levels in the Eastern Mediterranean A. Poupkou et al. 10.1016/j.atmosres.2014.05.015
98. Associations between landscape fires and child morbidity in southern Mozambique: a time-series study A. Curto et al. 10.1016/S2542-5196(23)00251-6
99. Impact of forest fires on particulate matter and ozone levels during the 2003, 2004 and 2005 fire seasons in Portugal V. Martins et al. 10.1016/j.scitotenv.2011.10.007
100. Volatility-resolved source apportionment of primary and secondary organic aerosol over Europe K. Skyllakou et al. 10.1016/j.atmosenv.2017.08.005
101. Satellite remote sensing of active fires: History and current status, applications and future requirements M. Wooster et al. 10.1016/j.rse.2021.112694
102. Global impact of landscape fire emissions on surface level PM2.5 concentrations, air quality exposure and population mortality G. Roberts & M. Wooster 10.1016/j.atmosenv.2021.118210
103. Quantification of fuel moisture effects on biomass consumed derived from fire radiative energy retrievals A. Smith et al. 10.1002/2013GL058232
104. Quantifying the potential for high-altitude smoke injection in the North American boreal forest using the standard MODIS fire products and subpixel-based methods D. Peterson et al. 10.1002/2013JD021067
105. Real-time air quality forecasting over the southeastern United States using WRF/Chem-MADRID: Multiple-year assessment and sensitivity studies K. Yahya et al. 10.1016/j.atmosenv.2014.04.024
106. Severe Wildfires Near Moscow, Russia in 2010: Modeling of Carbon Monoxide Pollution and Comparisons with Observations A. Safronov et al. 10.3390/rs70100395
107. Tropospheric ozone and its precursors from the urban to the global scale from air quality to short-lived climate forcer P. Monks et al. 10.5194/acp-15-8889-2015
108. Two decades of fire activity over the PEEX domain: a look from space, with contribution from models and ground-based measurements L. Sogacheva et al. 10.1080/20964471.2024.2316730
109. Simulating the formation of carbonaceous aerosol in a European Megacity (Paris) during the MEGAPOLI summer and winter campaigns C. Fountoukis et al. 10.5194/acp-16-3727-2016
110. Impact of grid resolution on the predicted fine PM by a regional 3-D chemical transport model C. Fountoukis et al. 10.1016/j.atmosenv.2012.11.008
111. LSA SAF Meteosat FRP products – Part 2: Evaluation and demonstration for use in the Copernicus Atmosphere Monitoring Service (CAMS) G. Roberts et al. 10.5194/acp-15-13241-2015
112. Measurement report: Assessing the impacts of emission uncertainty on aerosol optical properties and radiative forcing from biomass burning in peninsular Southeast Asia Y. Jin et al. 10.5194/acp-24-367-2024
113. Examination of the Community Multiscale Air Quality (CMAQ) model performance over the North American and European domains K. Appel et al. 10.1016/j.atmosenv.2011.11.016
114. The EMEP MSC-W chemical transport model – technical description D. Simpson et al. 10.5194/acp-12-7825-2012
115. On the variation of aerosol properties over Finland based on the optical columnar measurements V. Aaltonen et al. 10.1016/j.atmosres.2011.07.014
116. Global top-down smoke-aerosol emissions estimation using satellite fire radiative power measurements C. Ichoku & L. Ellison 10.5194/acp-14-6643-2014
117. The Environmental Effects of the April 2020 Wildfires and the Cs-137 Re-Suspension in the Chernobyl Exclusion Zone: A Multi-Hazard Threat R. Baró et al. 10.3390/atmos12040467
118. Improved estimates of smoke exposure during Australia fire seasons: importance of quantifying plume injection heights X. Feng et al. 10.5194/acp-24-2985-2024
119. Examining the Impact of Smoke on Frontal Clouds and Precipitation During the 2002 Yakutsk Wildfires Using the WRF‐Chem‐SMOKE Model and Satellite Data Z. Lu & I. Sokolik 10.1002/2017JD027001
120. A framework for natural resource management with geospatial machine learning: a case study of the 2021 Almora forest fires A. Tiwari et al. 10.1186/s42408-024-00293-9
121. Use of CAMS near Real-Time Aerosols in the HARMONIE-AROME NWP Model D. Martín Pérez et al. 10.3390/meteorology3020008
122. Estimating the open biomass burning emissions in central and eastern China from 2003 to 2015 based on satellite observation J. Wu et al. 10.5194/acp-18-11623-2018
123. Modeling emissions for three-dimensional atmospheric chemistry transport models V. Matthias et al. 10.1080/10962247.2018.1424057
124. An empirical model to estimate daily forest fire smoke exposure over a large geographic area using air quality, meteorological, and remote sensing data J. Yao & S. Henderson 10.1038/jes.2013.87
125. New fire diurnal cycle characterizations to improve fire radiative energy assessments made from MODIS observations N. Andela et al. 10.5194/acp-15-8831-2015
126. Progress and Challenges in Quantifying Wildfire Smoke Emissions, Their Properties, Transport, and Atmospheric Impacts I. Sokolik et al. 10.1029/2018JD029878
127. Simulating the transport and chemical evolution of biomass burning pollutants originating from Southeast Asia during 7-SEAS/2010 Dongsha experiment M. Chuang et al. 10.1016/j.atmosenv.2015.04.055
128. Higher airborne pollen concentrations correlated with increased SARS-CoV-2 infection rates, as evidenced from 31 countries across the globe A. Damialis et al. 10.1073/pnas.2019034118
129. Smoke emissions from the extreme wildfire events in central Portugal in October 2017 A. Fernandes et al. 10.1071/WF21097
130. Effects of urban dust emissions on fine and coarse PM levels and composition S. Kakavas & S. Pandis 10.1016/j.atmosenv.2020.118006
131. Inverse modeling of fire emissions constrained by smoke plume transport using HYSPLIT dispersion model and geostationary satellite observations H. Kim et al. 10.5194/acp-20-10259-2020
132. Evaluation of a multiple regression model for the forecasting of the concentrations of NOx and PM10 in Athens and Helsinki A. Vlachogianni et al. 10.1016/j.scitotenv.2010.12.040
133. Spatial analysis of aerosol optical depth obtained by air quality modelling and SEVIRI satellite observations over Portugal A. Fernandes et al. 10.1016/j.apr.2018.07.011