232 citations as recorded by crossref.

1. Estimating the total mass emitted by the eruption of Eyjafjallajökull in 2010 using plume-rise models B. Devenish 10.1016/j.jvolgeores.2016.01.005
2. Positive Platinum anomalies at three late Holocene high magnitude volcanic events in Western Hemisphere sediments K. Tankersley et al. 10.1038/s41598-018-29741-8
3. Evaluating the assimilation of S5P/TROPOMI near real-time SO<sub>2</sub> columns and layer height data into the CAMS integrated forecasting system (CY47R1), based on a case study of the 2019 Raikoke eruption A. Inness et al. 10.5194/gmd-15-971-2022
4. Validation of ash cloud modelling with satellite retrievals: a case study of the 16–17 June 1996 Mount Ruapehu eruption J. Liu et al. 10.1007/s11069-015-1753-3
5. Simulating atmospheric transport of the 2011 Grímsvötn ash cloud using a data insertion update scheme K. Wilkins et al. 10.1016/j.atmosenv.2016.06.045
6. Tephra deposit inversion by coupling Tephra2 with the Metropolis-Hastings algorithm: algorithm introduction and demonstration with synthetic datasets Q. Yang et al. 10.1186/s13617-020-00101-4
7. Using Stereographic Observations of two High Resolution Geostationary Satellite Images for Cloud Detection S. Dehnavi et al. 10.61186/jgit.11.2.17
8. The ash dispersion over Europe during the Eyjafjallajökull eruption – Comparison of CMAQ simulations to remote sensing and air-borne in-situ observations V. Matthias et al. 10.1016/j.atmosenv.2011.06.077
9. FLEXPART version 11: improved accuracy, efficiency, and flexibility L. Bakels et al. 10.5194/gmd-17-7595-2024
10. How accurate are volcanic ash simulations of the 2010 Eyjafjallajökull eruption? H. Dacre et al. 10.1002/2015JD024265
11. Supporting the detection and monitoring of volcanic clouds: A promising new application of Global Navigation Satellite System radio occultation R. Biondi et al. 10.1016/j.asr.2017.06.039
12. Small volcanic eruptions and the stratospheric sulfate aerosol burden D. Pyle 10.1088/1748-9326/7/3/031001
13. A systematic review on global pollution status of particulate matter-associated potential toxic elements and health perspectives in urban environment M. Ali et al. 10.1007/s10653-018-0203-z
14. Using Ensemble Meteorological Data Sets to Treat Meteorological Uncertainties in a Bayesian Volcanic Ash Inverse Modeling System: A Case Study, Grímsvötn 2011 H. Webster & D. Thomson 10.1029/2022JD036469
15. Aircraft observations and model simulations of concentration and particle size distribution in the Eyjafjallajökull volcanic ash cloud H. Dacre et al. 10.5194/acp-13-1277-2013
16. Assessing hazards to aviation from sulfur dioxide emitted by explosive Icelandic eruptions A. Schmidt et al. 10.1002/2014JD022070
17. Estimating volcanic ash hazard in European airspace A. Dingwell & A. Rutgersson 10.1016/j.jvolgeores.2014.08.022
18. Atmospheric Dispersion Modelling at the London VAAC: A Review of Developments since the 2010 Eyjafjallajökull Volcano Ash Cloud F. Beckett et al. 10.3390/atmos11040352
19. Remote Sensing of Volcanic Hazards and Their Precursors A. Hooper et al. 10.1109/JPROC.2012.2199269
20. Mental health effects following the eruption in Eyjafjallajökull volcano in Iceland: A population-based study Ó. Gissurardóttir et al. 10.1177/1403494817751327
21. The Development of Volcanic Ash Cloud Layers over Hours to Days Due to Atmospheric Turbulence Layering M. Bursik et al. 10.3390/atmos12020285
22. Epistemic uncertainties and natural hazard risk assessment – Part 1: A review of different natural hazard areas K. Beven et al. 10.5194/nhess-18-2741-2018
23. Uncertainty-bounded estimates of ash cloud properties using the ORAC algorithm: application to the 2019 Raikoke eruption A. Prata et al. 10.5194/amt-15-5985-2022
24. Improving volcanic sulfur dioxide cloud dispersal forecasts by progressive assimilation of satellite observations M. Boichu et al. 10.1002/2014GL059496
25. Enabling probabilistic retrospective transport modeling for accurate source detection W. Rosenthal et al. 10.1016/j.jenvrad.2022.106849
26. Inverting for volcanic SO<sub>2</sub> flux at high temporal resolution using spaceborne plume imagery and chemistry-transport modelling: the 2010 Eyjafjallajökull eruption case study M. Boichu et al. 10.5194/acp-13-8569-2013
27. Prediction of volcanic ash concentrations in ash clouds from explosive eruptions based on an atmospheric transport model and the Japanese meteorological satellite Himawari-8: a case study for the Kirishima-Shinmoedake eruption on April 4th 2018 K. Ishii et al. 10.1186/s40623-023-01790-y
28. A retrospective analysis of the Shinmoedake (Japan) eruption of 26–27 January 2011 by means of Japanese geostationary satellite data F. Marchese et al. 10.1016/j.jvolgeores.2013.10.011
29. Sparse optimization for inverse problems in atmospheric modelling L. Adam & M. Branda 10.1016/j.envsoft.2016.02.002
30. Water-Mediated Differential Binding of Strontium and Cesium Cations in Fulvic Acid B. Sadhu et al. 10.1021/acs.jpcb.5b01659
31. Research on aerosol sources and chemical composition: Past, current and emerging issues A. Calvo et al. 10.1016/j.atmosres.2012.09.021
32. Far‐travelled ash in past and future eruptions: combining tephrochronology with volcanic studies K. Cashman & A. Rust 10.1002/jqs.3159
33. Radiative impact of Etna volcanic aerosols over south eastern Italy on 3 December 2015 S. Romano et al. 10.1016/j.atmosenv.2018.03.038
34. Simulation of SEVIRI infrared channels: a case study from the Eyjafjallajökull April/May 2010 eruption A. Kylling et al. 10.5194/amt-6-649-2013
35. Influence of Weather Conditions on Particulate Matter Suspension following the 2010 Eyjafjallajökull Volcanic Eruption M. Butwin et al. 10.1175/EI-D-20-0006.1
36. Natural iron fertilization by the Eyjafjallajökull volcanic eruption E. Achterberg et al. 10.1002/grl.50221
37. Estimation of volcanic ash emissions through assimilating satellite data and ground‐based observations S. Lu et al. 10.1002/2016JD025131
38. Massive-Parallel Trajectory Calculations version 2.2 (MPTRAC-2.2): Lagrangian transport simulations on graphics processing units (GPUs) L. Hoffmann et al. 10.5194/gmd-15-2731-2022
39. Volcanic SO<sub>2</sub> fluxes derived from satellite data: a survey using OMI, GOME-2, IASI and MODIS N. Theys et al. 10.5194/acp-13-5945-2013
40. Eyjafjallajökull volcano plume particle-type characterization from space-based multi-angle imaging R. Kahn & J. Limbacher 10.5194/acp-12-9459-2012
41. Ash Metrics for European and Trans‐Atlantic Air Routes During the Eyjafjallajökull Eruption 14 April to 23 May 2010 A. Prata et al. 10.1002/2017JD028199
42. Xenon-133 and caesium-137 releases into the atmosphere from the Fukushima Dai-ichi nuclear power plant: determination of the source term, atmospheric dispersion, and deposition A. Stohl et al. 10.5194/acp-12-2313-2012
43. Simulations of Ash and Sand Impact on a Hypersonic Forebody B. Connolly & E. Loth 10.2514/1.J059552
44. New-generation NASA Aura Ozone Monitoring Instrument (OMI) volcanic SO<sub>2</sub> dataset: algorithm description, initial results, and continuation with the Suomi-NPP Ozone Mapping and Profiler Suite (OMPS) C. Li et al. 10.5194/amt-10-445-2017
45. The impact of the April 2010 Eyjafjallajökull eruption on the atmosphere composition in Moscow A. Skorokhod et al. 10.1134/S0742046316040059
46. Common processes at unique volcanoes—a volcanological conundrum K. Cashman & J. Biggs 10.3389/feart.2014.00028
47. The Independent Volcanic Eruption Source Parameter Archive (IVESPA, version 1.0): A new observational database to support explosive eruptive column model validation and development T. Aubry et al. 10.1016/j.jvolgeores.2021.107295
48. Model-based aviation advice on distal volcanic ash clouds by assimilating aircraft in situ measurements G. Fu et al. 10.5194/acp-16-9189-2016
49. Simulation of Volcanic Ash Ingestion Into a Large Aero Engine: Particle–Fan Interactions A. Vogel et al. 10.1115/1.4041464
50. Retrieval of refractive indices of ten volcanic ash samples in the infrared, visible and ultraviolet spectral region A. Deguine et al. 10.1016/j.jaerosci.2022.106100
51. A short-term intervention study — Impact of airport closure due to the eruption of Eyjafjallajökull on near-field air quality D. Carslaw et al. 10.1016/j.atmosenv.2012.02.020
52. Time-resolved observation of volcanic ash using COMS/MI: A case study from the 2011 Shinmoedake eruption K. Lee et al. 10.1016/j.rse.2015.11.014
53. Modeling Particulate Pollutants Dispersed in the Atmosphere Using Fractional Turbulent Diffusion M. Troparevsky et al. 10.2139/ssrn.4016280
54. Microwave remote sensing of the 2011 Plinian eruption of the Grímsvötn Icelandic volcano F. Marzano et al. 10.1016/j.rse.2012.11.005
55. Quantitative analysis of the angular dynamics of a single spheroid in simple shear flow at moderate Reynolds numbers T. Rosén et al. 10.1103/PhysRevFluids.1.044201
56. An ensemble of state-of-the-art ash dispersion models: towards probabilistic forecasts to increase the resilience of air traffic against volcanic eruptions M. Plu et al. 10.5194/nhess-21-2973-2021
57. Retrieval of Refractive Indices of Ten Volcanic Ash Samples in the Infrared, Visible and Ultraviolet Spectral Region A. Deguine et al. 10.2139/ssrn.4178248
58. RePLaT-Chaos: A Simple Educational Application to Discover the Chaotic Nature of Atmospheric Advection T. Haszpra 10.3390/atmos11010029
59. Temporal variations of flux and altitude of sulfur dioxide emissions during volcanic eruptions: implications for long-range dispersal of volcanic clouds M. Boichu et al. 10.5194/acp-15-8381-2015
60. Airborne lidar observations of the 2010 Eyjafjallajökull volcanic ash plume F. Marenco et al. 10.1029/2011JD016396
61. Ensemble-Based Data Assimilation of Volcanic Ash Clouds from Satellite Observations: Application to the 24 December 2018 Mt. Etna Explosive Eruption F. Pardini et al. 10.3390/atmos11040359
62. Uncertainty analysis of a model of wind-blown volcanic plumes M. Woodhouse et al. 10.1007/s00445-015-0959-2
63. Particle‐scale characterization of volcaniclastic dust sources within Iceland T. Richards‐Thomas et al. 10.1111/sed.12821
64. A newly developed Lagrangian chemical transport scheme: Part 1. Simulation of a boreal forest fire plume Y. Liu et al. 10.1016/j.scitotenv.2023.163232
65. A Computationally Efficient Ensemble Filtering Scheme for Quantitative Volcanic Ash Forecasts M. Zidikheri & C. Lucas 10.1029/2020JD033094
66. Observation of volcanic ash from Puyehue–Cordón Caulle with IASI L. Klüser et al. 10.5194/amt-6-35-2013
67. Data assimilation for volcanic ash plumes using a satellite observational operator: a case study on the 2010 Eyjafjallajökull volcanic eruption G. Fu et al. 10.5194/acp-17-1187-2017
68. Air quality impacts of the 2018 Mt. Kilauea Volcano eruption in Hawaii: A regional chemical transport model study with satellite-constrained emissions Y. Tang et al. 10.1016/j.atmosenv.2020.117648
69. A simple inversion method for determining optimal dispersion model parameters from satellite detections of volcanic sulfur dioxide M. Zidikheri & R. Potts 10.1002/2015JD023627
70. A volcanic-hazard demonstration exercise to assess and mitigate the impacts of volcanic ash clouds on civil and military aviation M. Hirtl et al. 10.5194/nhess-20-1719-2020
71. Volcano monitoring applications of the Ozone Monitoring Instrument B. McCormick et al. 10.1144/SP380.11
72. The Lagrangian particle dispersion model FLEXPART version 10.4 I. Pisso et al. 10.5194/gmd-12-4955-2019
73. Low efficiency of large volcanic eruptions in transporting very fine ash into the atmosphere M. Gouhier et al. 10.1038/s41598-019-38595-7
74. A Near-Real-Time Method for Estimating Volcanic Ash Emissions Using Satellite Retrievals R. Pelley et al. 10.3390/atmos12121573
75. Aerosol properties of the Eyjafjallajökull ash derived from sun photometer and satellite observations over the Iberian Peninsula C. Toledano et al. 10.1016/j.atmosenv.2011.09.072
76. An Advanced System to Monitor the 3D Structure of Diffuse Volcanic Ash Clouds J. Vernier et al. 10.1175/JAMC-D-12-0279.1
77. Ground-based and airborne in-situ measurements of the Eyjafjallajökull volcanic aerosol plume in Switzerland in spring 2010 N. Bukowiecki et al. 10.5194/acp-11-10011-2011
78. A review of sea-spray aerosol source functions using a large global set of sea salt aerosol concentration measurements H. Grythe et al. 10.5194/acp-14-1277-2014
79. An adaptation of the CO<sub>2</sub> slicing technique for the Infrared Atmospheric Sounding Interferometer to obtain the height of tropospheric volcanic ash clouds I. Taylor et al. 10.5194/amt-12-3853-2019
80. A new scheme for sulphur dioxide retrieval from IASI measurements: application to the Eyjafjallajökull eruption of April and May 2010 E. Carboni et al. 10.5194/acp-12-11417-2012
81. Particle-filter-based volcanic ash emission inversion applied to a hypothetical sub-Plinian Eyjafjallajökull eruption using the Ensemble for Stochastic Integration of Atmospheric Simulations (ESIAS-chem) version 1.0 P. Franke et al. 10.5194/gmd-15-1037-2022
82. Volcanic ash as an oceanic iron source and sink N. Rogan et al. 10.1002/2016GL067905
83. Analysis and Development Enlightenment on Source Term Inversion Technology of Nuclear and Chemical Hazards C. Han et al. 10.1051/e3sconf/202021801007
84. Quantification of volcanic cloud top heights and thicknesses using A‐train observations for the 2008 Chaitén eruption A. Prata et al. 10.1002/2014JD022399
85. Plankton Aerosol, Cloud, ocean Ecosystem mission: atmosphere measurements for air quality applications A. Omar et al. 10.1117/1.JRS.12.042608
86. Artificial cloud test confirms volcanic ash detection using infrared spectral imaging A. Prata et al. 10.1038/srep25620
87. Tropospheric ozone over Siberia in spring 2010: remote influences and stratospheric intrusion A. Berchet et al. 10.3402/tellusb.v65i0.19688
88. Detecting volcanic sulfur dioxide plumes in the Northern Hemisphere using the Brewer spectrophotometers, other networks, and satellite observations C. Zerefos et al. 10.5194/acp-17-551-2017
89. Optical, microphysical, mass and geometrical properties of aged volcanic particles observed over Athens, Greece, during the Eyjafjallajökull eruption in April 2010 through synergy of Raman lidar and sunphotometer measurements P. Kokkalis et al. 10.5194/acp-13-9303-2013
90. Complex refractive index of volcanic ash aerosol in the infrared, visible, and ultraviolet A. Deguine et al. 10.1364/AO.59.000884
91. Atmospheric processes affecting the separation of volcanic ash and SO<sub>2</sub> in volcanic eruptions: inferences from the May 2011 Grímsvötn eruption F. Prata et al. 10.5194/acp-17-10709-2017
92. A model sensitivity study of the impact of clouds on satellite detection and retrieval of volcanic ash A. Kylling et al. 10.5194/amt-8-1935-2015
93. Influences of the 2010 Eyjafjallajökull volcanic plume on air quality in the northern Alpine region K. Schäfer et al. 10.5194/acp-11-8555-2011
94. Measuring volcanic plume and ash properties from space R. Grainger et al. 10.1144/SP380.7
95. HOTVOLC: the official French satellite-based service for operational monitoring and early warning of volcanic ash plumes Y. Guéhenneux & M. Gouhier 10.1007/s00445-024-01716-w
96. Synergistic use of Lagrangian dispersion and radiative transfer modelling with satellite and surface remote sensing measurements for the investigation of volcanic plumes: the Mount Etna eruption of 25–27 October 2013 P. Sellitto et al. 10.5194/acp-16-6841-2016
97. The Impact of Ensemble Meteorology on Inverse Modeling Estimates of Volcano Emissions and Ash Dispersion Forecasts: Grímsvötn 2011 N. Harvey et al. 10.3390/atmos11101022
98. Computation of probabilistic hazard maps and source parameter estimation for volcanic ash transport and dispersion R. Madankan et al. 10.1016/j.jcp.2013.11.032
99. Effect of fluid and particle inertia on the rotation of an oblate spheroidal particle suspended in linear shear flow T. Rosén et al. 10.1103/PhysRevE.91.053017
100. Estimation of optimal dispersion model source parameters using satellite detections of volcanic ash M. Zidikheri et al. 10.1002/2017JD026676
101. Ice nucleation properties of fine ash particles from the Eyjafjallajökull eruption in April 2010 I. Steinke et al. 10.5194/acp-11-12945-2011
102. The 2016 Al-Mishraq sulphur plant fire: Source and health risk area estimation O. Björnham et al. 10.1016/j.atmosenv.2017.09.025
103. Determination of complex refractive indices and optical properties of volcanic ashes in the thermal infrared based on generic petrological compositions D. Piontek et al. 10.1016/j.jvolgeores.2021.107174
104. Quantitative Verification and Calibration of Volcanic Ash Ensemble Forecasts Using Satellite Data M. Zidikheri et al. 10.1002/2017JD027740
105. Impact evaluation of potential volcanic plumes over Spain J. Adame et al. 10.1016/j.atmosres.2015.03.002
106. Airborne in-situ investigations of the Eyjafjallajökull volcanic ash plume on Iceland and over north-western Germany with light aircrafts and optical particle counters K. Weber et al. 10.1016/j.atmosenv.2011.10.030
107. Using Satellite Data to Determine Empirical Relationships between Volcanic Ash Source Parameters M. Zidikheri & C. Lucas 10.3390/atmos11040342
108. Operational prediction of ash concentrations in the distal volcanic cloud from the 2010 Eyjafjallajökull eruption H. Webster et al. 10.1029/2011JD016790
109. Simulating the Transport and Dispersal of Volcanic Ash Clouds With Initial Conditions Created by a 3D Plume Model Z. Cao et al. 10.3389/feart.2021.704797
110. SOLO Taxonomy: Increased Complexity of Conceptual Understanding about the Interconnection between Convection and Natural Disasters Using Hands-On Activities P. Pisanpanumas & P. Yasri 10.2139/ssrn.3262589
111. Inverse modeling of the Chernobyl source term using atmospheric concentration and deposition measurements N. Evangeliou et al. 10.5194/acp-17-8805-2017
112. Unusual subpolar North Atlantic phytoplankton bloom in 2010: Volcanic fertilization or North Atlantic Oscillation? S. Henson et al. 10.1002/jgrc.20363
113. Estimating climatological variability of solar energy production P. Juruš et al. 10.1016/j.solener.2013.10.007
114. The New Volcanic Ash Satellite Retrieval VACOS Using MSG/SEVIRI and Artificial Neural Networks: 2. Validation D. Piontek et al. 10.3390/rs13163128
115. Uncertainties in the inverse modelling of sulphur dioxide eruption profiles P. Seibert et al. 10.1080/19475705.2011.590533
116. Integration of measurements and model simulations to characterize Eyjafjallajökull volcanic aerosols over south-eastern Italy M. Perrone et al. 10.5194/acp-12-10001-2012
117. Ash and fine-mode particle mass profiles from EARLINET-AERONET observations over central Europe after the eruptions of the Eyjafjallajökull volcano in 2010 A. Ansmann et al. 10.1029/2010JD015567
118. What's that smell? Hydrogen sulphide transport from Bardarbunga to Scandinavia H. Grahn et al. 10.1016/j.jvolgeores.2015.07.006
119. Estimating volcanic ash emissions using retrieved satellite ash columns and inverse ash transport modeling using VolcanicAshInversion v1.2.1, within the operational eEMEP (emergency European Monitoring and Evaluation Programme) volcanic plume forecasting system (version rv4_17) A. Brodtkorb et al. 10.5194/gmd-17-1957-2024
120. Variational assimilation of IASI SO<sub>2</sub> plume height and total column retrievals in the 2010 eruption of Eyjafjallajökull using the SILAM v5.3 chemistry transport model J. Vira et al. 10.5194/gmd-10-1985-2017
121. Modeling the climatic effects of large explosive volcanic eruptions C. Timmreck 10.1002/wcc.192
122. Improving Ensemble Volcanic Ash Forecasts by Direct Insertion of Satellite Data and Ensemble Filtering M. Zidikheri & C. Lucas 10.3390/atmos12091215
123. Practical depolarization-ratio-based inversion procedure: lidar measurements of the Eyjafjallajökull ash cloud over the Netherlands D. Donovan & A. Apituley 10.1364/AO.52.002394
124. Modelling the transport and deposition of ash following a magnitude 7 eruption: the distal Mazama tephra H. Buckland et al. 10.1007/s00445-022-01593-1
125. Monitoring of Eyjafjallajökull volcanic aerosol by the new European Skynet Radiometers (ESR) network M. Campanelli et al. 10.1016/j.atmosenv.2011.09.070
126. Modeling volcanic ash aggregation processes and related impacts on the April–May 2010 eruptions of Eyjafjallajökull volcano with WRF-Chem S. Egan et al. 10.5194/nhess-20-2721-2020
127. Horizontal and vertical structure of the Eyjafjallajökull ash cloud over the UK: a comparison of airborne lidar observations and simulations A. Grant et al. 10.5194/acp-12-10145-2012
128. Spatial evaluation of volcanic ash forecasts using satellite observations N. Harvey & H. Dacre 10.5194/acp-16-861-2016
129. Assimilating aircraft-based measurements to improve forecast accuracy of volcanic ash transport G. Fu et al. 10.1016/j.atmosenv.2015.05.061
130. Volcanic Cloud Top Height Estimation Using the Plume Elevation Model Procedure Applied to Orthorectified Landsat 8 Data. Test Case: 26 October 2013 Mt. Etna Eruption M. de Michele et al. 10.3390/rs11070785
131. The Use of Gaussian Mixture Models with Atmospheric Lagrangian Particle Dispersion Models for Density Estimation and Feature Identification A. Crawford 10.3390/atmos11121369
132. Time-lagged ensemble simulations of the dispersion of the Eyjafjallajökull plume over Europe with COSMO-ART H. Vogel et al. 10.5194/acp-14-7837-2014
133. Validation of ash optical depth and layer height retrieved from passive satellite sensors using EARLINET and airborne lidar data: the case of the Eyjafjallajökull eruption D. Balis et al. 10.5194/acp-16-5705-2016
134. Refining an ensemble of volcanic ash forecasts using satellite retrievals: Raikoke 2019 A. Capponi et al. 10.5194/acp-22-6115-2022
135. Retrieval of volcanic ash height from satellite‐based infrared measurements L. Zhu et al. 10.1002/2016JD026263
136. Comparison of Spheroidal Carbonaceous Particle Data with Modelled Atmospheric Black Carbon Concentration and Deposition and Air Mass Sources in Northern Europe, 1850–2010 M. Ruppel et al. 10.1155/2013/393926
137. An Introduction to Himawari-8/9— Japan’s New-Generation Geostationary Meteorological Satellites K. BESSHO et al. 10.2151/jmsj.2016-009
138. SNICAR-ADv3: a community tool for modeling spectral snow albedo M. Flanner et al. 10.5194/gmd-14-7673-2021
139. Physical and optical properties of 2010 Eyjafjallajökull volcanic eruption aerosol: ground-based, Lidar and airborne measurements in France M. Hervo et al. 10.5194/acp-12-1721-2012
140. Impacts of Volcanic Eruptions around the Korean Peninsula: A Long-term Simulation Study for Hypothetical Eruption Scenarios K. Park et al. 10.9798/KOSHAM.2020.20.5.361
141. A review of source term estimation methods for atmospheric dispersion events using static or mobile sensors M. Hutchinson et al. 10.1016/j.inffus.2016.11.010
142. Bayesian inverse modeling of the atmospheric transport and emissions of a controlled tracer release from a nuclear power plant D. Lucas et al. 10.5194/acp-17-13521-2017
143. Using an Ensemble Filter to Improve the Representation of Temporal Source Variations in a Volcanic Ash Forecasting System M. Zidikheri 10.3390/atmos13081243
144. Optical properties and vertical extension of aged ash layers over the Eastern Mediterranean as observed by Raman lidars during the Eyjafjallajökull eruption in May 2010 A. Papayannis et al. 10.1016/j.atmosenv.2011.08.037
145. Evaluation of the Physical and Chemical Properties of Eyjafjallajökull Volcanic Plume Using a Cloud-Resolving Model V. Spiridonov & M. Curic 10.1007/s00024-012-0607-0
146. Estimates of total ash content from 2006 and 2009 explosion events at Bezymianny volcano with use of a regional atmospheric modeling system K. Moiseenko & N. Malik 10.1016/j.jvolgeores.2013.11.016
147. RETRACTED ARTICLE: Release, deposition and elimination of radiocesium (137Cs) in the terrestrial environment M. Ashraf et al. 10.1007/s10653-014-9620-9
148. The Eyjafjallajökull AD 2010 eruption and the preservation of medium-sized eruptions in marine surface sediment offshore southern Iceland C. Bonanati et al. 10.1017/qua.2017.15
149. Impact of the lateral blast on the spatial pattern and grain size characteristics of the 18 May 1980 Mount St. Helens fallout deposit J. Eychenne et al. 10.1002/2015JB012116
150. Modeling emissions for three-dimensional atmospheric chemistry transport models V. Matthias et al. 10.1080/10962247.2018.1424057
151. In-situ observations of Eyjafjallajökull ash particles by hot-air balloon T. Petäjä et al. 10.1016/j.atmosenv.2011.08.046
152. Eyjafjallajökull volcanic ash concentrations determined using Spin Enhanced Visible and Infrared Imager measurements A. Prata & A. Prata 10.1029/2011JD016800
153. Multi-wavelength Raman lidar observations of the Eyjafjallajökull volcanic cloud over Potenza, southern Italy L. Mona et al. 10.5194/acp-12-2229-2012
154. Calculating and communicating ensemble‐based volcanic ash dosage and concentration risk for aviation A. Prata et al. 10.1002/met.1759
155. Monitoring volcanic ash cloud top height through simultaneous retrieval of optical data from polar orbiting and geostationary satellites K. Zakšek et al. 10.5194/acp-13-2589-2013
156. How assumed composition affects the interpretation of satellite observations of volcanic ash S. Mackie et al. 10.1002/met.1445
157. Ash production by attrition in volcanic conduits and plumes T. Jones & J. Russell 10.1038/s41598-017-05450-6
158. Ash plume top height estimation using AATSR T. Virtanen et al. 10.5194/amt-7-2437-2014
159. Retrieving Volcanic Ash Top Height through Combined Polar Orbit Active and Geostationary Passive Remote Sensing Data W. Zhu et al. 10.3390/rs12060953
160. The Evolution of Icelandic Volcano Emissions, as Observed From Space in the Era of NASA's Earth Observing System (EOS) V. Flower & R. Kahn 10.1029/2019JD031625
161. Inverse Modeling of the Initial Stage of the 1991 Pinatubo Volcanic Cloud Accounting for Radiative Feedback of Volcanic Ash A. Ukhov et al. 10.1029/2022JD038446
162. Volcanic ash concentration during the 12 August 2011 Etna eruption S. Scollo et al. 10.1002/2015GL063027
163. A review of tephra transport and dispersal models: Evolution, current status, and future perspectives A. Folch 10.1016/j.jvolgeores.2012.05.020
164. The impact of particle shape on fall velocity: Implications for volcanic ash dispersion modelling J. Saxby et al. 10.1016/j.jvolgeores.2018.08.006
165. The operational eEMEP model version 10.4 for volcanic SO<sub>2</sub> and ash forecasting B. Steensen et al. 10.5194/gmd-10-1927-2017
166. In situ physical and chemical characterisation of the Eyjafjallajökull aerosol plume in the free troposphere over Italy S. Sandrini et al. 10.5194/acp-14-1075-2014
167. Detection of volcanic gases and particles by satellite E. Ortore et al. 10.1016/j.actaastro.2013.07.025
168. A comprehensive review of plume source detection using unmanned vehicles for environmental sensing T. Lewis & K. Bhaganagar 10.1016/j.scitotenv.2020.144029
169. Numerical study and prediction of nuclear contaminant transport from Fukushima Daiichi nuclear power plant in the North Pacific Ocean H. Wang et al. 10.1007/s11434-012-5171-6
170. Modelling the volcanic ash plume from Eyjafjallajökull eruption (May 2010) over Europe: evaluation of the benefit of source term improvements and of the assimilation of aerosol measurements M. Plu et al. 10.5194/nhess-21-3731-2021
171. Four-dimensional distribution of the 2010 Eyjafjallajökull volcanic cloud over Europe observed by EARLINET G. Pappalardo et al. 10.5194/acp-13-4429-2013
172. Big grains go far: understanding the discrepancy between tephrochronology and satellite infrared measurements of volcanic ash J. Stevenson et al. 10.5194/amt-8-2069-2015
173. Linear inverse problem for inferring eruption source parameters from sparse ash deposit data as viewed from an atmospheric dispersion modeling perspective K. Moiseenko & N. Malik 10.1007/s00445-019-1281-1
174. Stereoscopic Estimation of Volcanic Ash Cloud-Top Height from Two Geostationary Satellites L. Merucci et al. 10.3390/rs8030206
175. Characterizing population exposure to coal emissions sources in the United States using the HyADS model L. Henneman et al. 10.1016/j.atmosenv.2019.01.043
176. Source term estimation of multi‐specie atmospheric release of radiation from gamma dose rates O. Tichý et al. 10.1002/qj.3403
177. Determining the three-dimensional structure of a volcanic plume using Unoccupied Aerial System (UAS) imagery A. Albadra et al. 10.1016/j.jvolgeores.2019.106731
178. A multi-sensor satellite-based archive of the largest SO<sub>2</sub> volcanic eruptions since 2006 P. Tournigand et al. 10.5194/essd-12-3139-2020
179. Volcanic ash forecast using ensemble-based data assimilation: an ensemble transform Kalman filter coupled with the FALL3D-7.2 model (ETKF–FALL3D version 1.0) S. Osores et al. 10.5194/gmd-13-1-2020
180. Real time retrieval of volcanic cloud particles and SO<sub>2</sub> by satellite using an improved simplified approach S. Pugnaghi et al. 10.5194/amt-9-3053-2016
181. Open fires in Greenland in summer 2017: transport, deposition and radiative effects of BC, OC and BrC emissions N. Evangeliou et al. 10.5194/acp-19-1393-2019
182. On the visibility of airborne volcanic ash and mineral dust from the pilot’s perspective in flight B. Weinzierl et al. 10.1016/j.pce.2012.04.003
183. Uncertainty assessment and applicability of an inversion method for volcanic ash forecasting B. Steensen et al. 10.5194/acp-17-9205-2017
184. Remote sensing and identification of volcanic plumes using fixed‐wing UAVs over Volcán de Fuego, Guatemala B. Schellenberg et al. 10.1002/rob.21896
185. Validation of Ash/Dust Detections from SEVIRI Data Using ACTRIS/EARLINET Ground-Based LIDAR Measurements A. Falconieri et al. 10.3390/rs12071172
186. On the tuning of atmospheric inverse methods: comparisons with the European Tracer Experiment (ETEX) and Chernobyl datasets using the atmospheric transport model FLEXPART O. Tichý et al. 10.5194/gmd-13-5917-2020
187. French airborne lidar measurements for Eyjafjallajökull ash plume survey P. Chazette et al. 10.5194/acp-12-7059-2012
188. Support to Aviation Control Service (SACS): an online service for near-real-time satellite monitoring of volcanic plumes H. Brenot et al. 10.5194/nhess-14-1099-2014
189. A unified approach to infrared aerosol remote sensing and type specification L. Clarisse et al. 10.5194/acp-13-2195-2013
190. Trajectory errors of different numerical integration schemes diagnosed with the MPTRAC advection module driven by ECMWF operational analyses T. Rößler et al. 10.5194/gmd-11-575-2018
191. Replat-Chaos-edu: an interactive educational tool for secondary school students for the illustration of the spreading of volcanic ash clouds T. Haszpra et al. 10.1088/1742-6596/1929/1/012079
192. The New Volcanic Ash Satellite Retrieval VACOS Using MSG/SEVIRI and Artificial Neural Networks: 1. Development D. Piontek et al. 10.3390/rs13163112
193. Medication use in populations exposed to the 2010 Eyjafjallajökull eruption: an interrupted time series analysis R. Guðmundsdóttir et al. 10.1136/bmjopen-2021-059375
194. Photo-enhanced uptake of SO2 on Icelandic volcanic dusts J. Lasne et al. 10.1039/D1EA00094B
195. Inverse transport modeling of volcanic sulfur dioxide emissions using large-scale simulations Y. Heng et al. 10.5194/gmd-9-1627-2016
196. Improving volcanic ash predictions with the HYSPLIT dispersion model by assimilating MODIS satellite retrievals T. Chai et al. 10.5194/acp-17-2865-2017
197. Analyses of three-dimensional weather radar data from volcanic eruption clouds M. Maki et al. 10.1016/j.jvolgeores.2021.107178
198. CARIBIC aircraft measurements of Eyjafjallajökull volcanic clouds in April/May 2010 A. Rauthe-Schöch et al. 10.5194/acp-12-879-2012
199. Big volcano science: needs and perspectives P. Papale & D. Garg 10.1007/s00445-022-01524-0
200. Sensitivity analysis of dispersion modeling of volcanic ash from Eyjafjallajökull in May 2010 B. Devenish et al. 10.1029/2011JD016782
201. Thermal Monitoring of Eyjafjöll Volcano Eruptions by Means of Infrared MODIS Data T. Lacava et al. 10.1109/JSTARS.2014.2330872
202. Measurement of three dimensional volcanic plume properties using multiple ground based infrared cameras K. Wood et al. 10.1016/j.isprsjprs.2019.06.002
203. Modeling particulate pollutants dispersed in the atmosphere using fractional turbulent diffusion M. Troparevsky et al. 10.1016/j.physa.2022.127478
204. Temporal, probabilistic mapping of ash clouds using wind field stochastic variability and uncertain eruption source parameters: Example of the 14 April 2010 Eyjafjallajökull eruption E. Stefanescu et al. 10.1002/2014MS000332
205. Toward quantitative forecasts of volcanic ash dispersal: Using satellite retrievals for optimal estimation of source terms M. Zidikheri et al. 10.1002/2017JD026679
206. ICON–ART 1.0 – a new online-coupled model system from the global to regional scale D. Rieger et al. 10.5194/gmd-8-1659-2015
207. The vertical distribution of volcanic SO<sub>2</sub> plumes measured by IASI E. Carboni et al. 10.5194/acp-16-4343-2016
208. Atmospheric dispersion of chemical, biological, and radiological hazardous pollutants: Informing risk assessment for public safety X. Zhang & J. Wang 10.1016/j.jnlssr.2022.09.001
209. Iron Biogeochemistry in the High Latitude North Atlantic Ocean E. Achterberg et al. 10.1038/s41598-018-19472-1
210. Quantifying the impact of meteorological uncertainty on emission estimates and the risk to aviation using source inversion for the Raikoke 2019 eruption N. Harvey et al. 10.5194/acp-22-8529-2022
211. PBL Height Retrievals at a Coastal Site Using Multi-Instrument Profiling Methods I. Tsikoudi et al. 10.3390/rs14164057
212. LS-APC v1.0: a tuning-free method for the linear inverse problem and its application to source-term determination O. Tichý et al. 10.5194/gmd-9-4297-2016
213. MAX-DOAS measurements of tropospheric NO<sub>2</sub> and HCHO in Nanjing and a comparison to ozone monitoring instrument observations K. Chan et al. 10.5194/acp-19-10051-2019
214. Source localisation and its uncertainty quantification after the third DPRK nuclear test P. De Meutter et al. 10.1038/s41598-018-28403-z
215. Near-Real-Time Detection of Tephra Eruption Onset and Mass Flow Rate Using Microwave Weather Radar and Infrasonic Arrays F. Marzano et al. 10.1109/TGRS.2016.2578282
216. A new method for multi-point pollution source identification J. Wang et al. 10.1016/j.aosl.2021.100098
217. Inversion and forward estimation with process-based models: An investigation into cost functions, uncertainty-based weights and model-data fusion M. Rabonza et al. 10.1016/j.envsoft.2023.105750
218. Inside Volcanic Clouds: Remote Sensing of Ash Plumes Using Microwave Weather Radars F. Marzano et al. 10.1175/BAMS-D-11-00160.1
219. Ash generation and distribution from the April-May 2010 eruption of Eyjafjallajökull, Iceland M. Gudmundsson et al. 10.1038/srep00572
220. Transport of NOx in East Asia identified by satellite and in situ measurements and Lagrangian particle dispersion model simulations H. Lee et al. 10.1002/2013JD021185
221. Evaluation of Lagrangian Particle Dispersion Models with Measurements from Controlled Tracer Releases J. Hegarty et al. 10.1175/JAMC-D-13-0125.1
222. Numerical Modeling of the Ash Cloud Movement from the Catastrophic Eruption of the Sheveluch Volcano in November 1964 O. Girina et al. 10.3390/rs14143449
223. Airborne observations of the Eyjafjalla volcano ash cloud over Europe during air space closure in April and May 2010 U. Schumann et al. 10.5194/acp-11-2245-2011
224. Using picosatellites for 4-D imaging of volcanic clouds: Proof of concept using ISS photography of the 2009 Sarychev Peak eruption K. Zakšek et al. 10.1016/j.rse.2018.02.061
225. Studying atmospheric transport through Lagrangian models J. Lin et al. 10.1029/2011EO210001
226. Investigation of chlorine radical chemistry in the Eyjafjallajökull volcanic plume using observed depletions in non-methane hydrocarbons A. Baker et al. 10.1029/2011GL047571
227. Remote sensing measurements of the volcanic ash plume over Poland in April 2010 K. Markowicz et al. 10.1016/j.atmosenv.2011.07.015
228. RESEARCH FOCUS: Toward a realistic formulation of fine-ash lifetime in volcanic clouds A. Durant 10.1130/focus032015.1
229. Volcanic aerosol optical properties and phase partitioning behavior after long-range advection characterized by UV-Lidar measurements A. Miffre et al. 10.1016/j.atmosenv.2011.03.057
230. Fate of volcanic ash: Aggregation and fallout W. Rose & A. Durant 10.1130/focus092011.1
231. The Eyjafjallajökull ash plume – Part 2: Simulating ash cloud dispersion with REMOTE C. O'Dowd et al. 10.1016/j.atmosenv.2011.10.037
232. Monitoring Etna volcanic plumes using a scanning LiDAR S. Scollo et al. 10.1007/s00445-012-0669-y