Articles | Volume 22, issue 3 
            
                
                    
                    
            
            
            https://doi.org/10.5194/acp-22-1773-2022
                    © Author(s) 2022. This work is distributed under 
the Creative Commons Attribution 4.0 License.
                the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/acp-22-1773-2022
                    © Author(s) 2022. This work is distributed under 
the Creative Commons Attribution 4.0 License.
                the Creative Commons Attribution 4.0 License.
Data assimilation of volcanic aerosol observations using FALL3D+PDAF
                                            Barcelona Supercomputing Center, Barcelona, Spain
                                        
                                    Arnau Folch
                                            Geociencias Barcelona (GEO3BCN-CSIC), Barcelona, Spain
                                        
                                    Andrew T. Prata
                                            Sub-department of Atmospheric, Oceanic and Planetary Physics, University of Oxford, Oxford, UK
                                        
                                    Federica Pardini
                                            Istituto Nazionale di Geofisica e Vulcanologia, Sezione di Pisa, Pisa, Italy
                                        
                                    Giovanni Macedonio
                                            Istituto Nazionale di Geofisica e Vulcanologia, Osservatorio Vesuviano, Naples, Italy
                                        
                                    Antonio Costa
                                            Istituto Nazionale di Geofisica e Vulcanologia, Sezione di Bologna, Bologna, Italy
                                        
                                    Viewed
                        
                            Total article views: 3,990 (including HTML, PDF, and XML)
                        
                            
                                
                                
                            
                                
                                
                            
                        
                        
                            Cumulative views and downloads 
                                         (calculated since 21 Sep 2021)
                        
                        
                            
                                
                            
                    
        
                    
                    | HTML | XML | Total | Supplement | BibTeX | EndNote | |
|---|---|---|---|---|---|---|
| 3,218 | 697 | 75 | 3,990 | 187 | 71 | 87 | 
- HTML: 3,218
 - PDF: 697
 - XML: 75
 - Total: 3,990
 - Supplement: 187
 - BibTeX: 71
 - EndNote: 87
 
                        
                            Total article views: 3,096 (including HTML, PDF, and XML)
                        
                            
                                
                                
                            
                                
                                
                            
                        
                        
                            Cumulative views and downloads 
                                         (calculated since 07 Feb 2022)
                        
                        
                            
                                
                            
                    
                    
                    | HTML | XML | Total | Supplement | BibTeX | EndNote | |
|---|---|---|---|---|---|---|
| 2,602 | 437 | 57 | 3,096 | 109 | 63 | 78 | 
- HTML: 2,602
 - PDF: 437
 - XML: 57
 - Total: 3,096
 - Supplement: 109
 - BibTeX: 63
 - EndNote: 78
 
                        
                            Total article views: 894 (including HTML, PDF, and XML)
                        
                            
                                
                                
                            
                                
                                
                            
                        
                        
                            Cumulative views and downloads 
                                         (calculated since 21 Sep 2021)
                        
                        
                            
                                
                            
                    
        
                
            | HTML | XML | Total | Supplement | BibTeX | EndNote | |
|---|---|---|---|---|---|---|
| 616 | 260 | 18 | 894 | 78 | 8 | 9 | 
- HTML: 616
 - PDF: 260
 - XML: 18
 - Total: 894
 - Supplement: 78
 - BibTeX: 8
 - EndNote: 9
 
Viewed (geographical distribution)
                                Total article views: 3,990 (including HTML, PDF, and XML)
                                
                                Thereof 3,990 with geography defined
                                    and 0 with unknown origin. 
                            
        
                            
                                Total article views: 3,096 (including HTML, PDF, and XML)
                                
                                Thereof 3,096 with geography defined
                                    and 0 with unknown origin. 
                            
        
                            
                                Total article views: 894 (including HTML, PDF, and XML)
                                
                                Thereof 894 with geography defined
                                    and 0 with unknown origin. 
                            
                    | Country | # | Views | % | 
|---|
| Country | # | Views | % | 
|---|
| Country | # | Views | % | 
|---|
| Total: | 0 | 
| HTML: | 0 | 
| PDF: | 0 | 
| XML: | 0 | 
- 1
 
1
                            | Total: | 0 | 
| HTML: | 0 | 
| PDF: | 0 | 
| XML: | 0 | 
- 1
 
1
                            | Total: | 0 | 
| HTML: | 0 | 
| PDF: | 0 | 
| XML: | 0 | 
- 1
 
1
                            Cited
19 citations as recorded by crossref.
- Real-time probabilistic assessment of volcanic hazard for tephra dispersal and fallout at Mt. Etna: the 2021 lava fountain episodes F. Pardini et al. 10.1007/s00445-022-01614-z
 - Estimation of eruption source parameters for the 2021 La Soufrière eruption (St Vincent): implications for quantification of eruption magnitude on volcanic islands R. Constantinescu et al. 10.1144/SP539-2023-38
 - Uncertainty quantification in volcanology: observations, numerical modelling, and hazard/risk assessment: preface to the special issue A. Tadini et al. 10.1007/s00445-025-01835-y
 - 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
 - Eruption plumes extended more than 30 km in altitude in both phases of the Millennium eruption of Paektu (Changbaishan) volcano A. Costa et al. 10.1038/s43247-023-01162-0
 - The 2019 Raikoke eruption as a testbed used by the Volcano Response group for rapid assessment of volcanic atmospheric impacts J. Vernier et al. 10.5194/acp-24-5765-2024
 - Conducting volcanic ash cloud exercises: practising forecast evaluation procedures and the pull-through of scientific advice to the London VAAC F. Beckett et al. 10.1007/s00445-024-01717-9
 - Assimilation of ground-based GNSS data using a local ensemble Kalman filter C. Shao & L. Nerger 10.1038/s41598-024-72915-w
 - Reconstructing tephra fall deposits via ensemble-based data assimilation techniques L. Mingari et al. 10.5194/gmd-16-3459-2023
 - Refining an ensemble of volcanic ash forecasts using satellite retrievals: Raikoke 2019 A. Capponi et al. 10.5194/acp-22-6115-2022
 - The Impact of Profiles Data Assimilation on an Ideal Tropical Cyclone Case C. Shao & L. Nerger 10.3390/rs16020430
 - Characterising, quantifying, and accessing eruption source parameters of explosive volcanic eruptions for operational simulation of tephra dispersion: a current view and future perspectives S. Engwell et al. 10.1007/s00445-024-01706-y
 - NAQPMS-PDAF v2.0: a novel hybrid nonlinear data assimilation system for improved simulation of PM2.5 chemical components H. Li et al. 10.5194/gmd-17-8495-2024
 - WRF-PDAF v1.0: implementation and application of an online localized ensemble data assimilation framework C. Shao & L. Nerger 10.5194/gmd-17-4433-2024
 - Dynamic management of uncertainty in rapid tsunami forecasting L. Cordrie et al. 10.1038/s43247-025-02586-6
 - Stereo Plume Height and Motion Retrievals for the Record‐Setting Hunga Tonga‐Hunga Ha'apai Eruption of 15 January 2022 J. Carr et al. 10.1029/2022GL098131
 - The EU Center of Excellence for Exascale in Solid Earth (ChEESE): Implementation, results, and roadmap for the second phase A. Folch et al. 10.1016/j.future.2023.04.006
 - Assessing long-term tephra fallout hazard in southern Italy from Neapolitan volcanoes S. Massaro et al. 10.5194/nhess-23-2289-2023
 - Ensemble-Based Forecast of Volcanic Clouds Using FALL3D-8.1 A. Folch et al. 10.3389/feart.2021.741841
 
18 citations as recorded by crossref.
- Real-time probabilistic assessment of volcanic hazard for tephra dispersal and fallout at Mt. Etna: the 2021 lava fountain episodes F. Pardini et al. 10.1007/s00445-022-01614-z
 - Estimation of eruption source parameters for the 2021 La Soufrière eruption (St Vincent): implications for quantification of eruption magnitude on volcanic islands R. Constantinescu et al. 10.1144/SP539-2023-38
 - Uncertainty quantification in volcanology: observations, numerical modelling, and hazard/risk assessment: preface to the special issue A. Tadini et al. 10.1007/s00445-025-01835-y
 - 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
 - Eruption plumes extended more than 30 km in altitude in both phases of the Millennium eruption of Paektu (Changbaishan) volcano A. Costa et al. 10.1038/s43247-023-01162-0
 - The 2019 Raikoke eruption as a testbed used by the Volcano Response group for rapid assessment of volcanic atmospheric impacts J. Vernier et al. 10.5194/acp-24-5765-2024
 - Conducting volcanic ash cloud exercises: practising forecast evaluation procedures and the pull-through of scientific advice to the London VAAC F. Beckett et al. 10.1007/s00445-024-01717-9
 - Assimilation of ground-based GNSS data using a local ensemble Kalman filter C. Shao & L. Nerger 10.1038/s41598-024-72915-w
 - Reconstructing tephra fall deposits via ensemble-based data assimilation techniques L. Mingari et al. 10.5194/gmd-16-3459-2023
 - Refining an ensemble of volcanic ash forecasts using satellite retrievals: Raikoke 2019 A. Capponi et al. 10.5194/acp-22-6115-2022
 - The Impact of Profiles Data Assimilation on an Ideal Tropical Cyclone Case C. Shao & L. Nerger 10.3390/rs16020430
 - Characterising, quantifying, and accessing eruption source parameters of explosive volcanic eruptions for operational simulation of tephra dispersion: a current view and future perspectives S. Engwell et al. 10.1007/s00445-024-01706-y
 - NAQPMS-PDAF v2.0: a novel hybrid nonlinear data assimilation system for improved simulation of PM2.5 chemical components H. Li et al. 10.5194/gmd-17-8495-2024
 - WRF-PDAF v1.0: implementation and application of an online localized ensemble data assimilation framework C. Shao & L. Nerger 10.5194/gmd-17-4433-2024
 - Dynamic management of uncertainty in rapid tsunami forecasting L. Cordrie et al. 10.1038/s43247-025-02586-6
 - Stereo Plume Height and Motion Retrievals for the Record‐Setting Hunga Tonga‐Hunga Ha'apai Eruption of 15 January 2022 J. Carr et al. 10.1029/2022GL098131
 - The EU Center of Excellence for Exascale in Solid Earth (ChEESE): Implementation, results, and roadmap for the second phase A. Folch et al. 10.1016/j.future.2023.04.006
 - Assessing long-term tephra fallout hazard in southern Italy from Neapolitan volcanoes S. Massaro et al. 10.5194/nhess-23-2289-2023
 
1 citations as recorded by crossref.
Latest update: 03 Nov 2025
Short summary
                    We present a new implementation of an ensemble-based data assimilation method to improve forecasting of volcanic aerosols. This system can be efficiently integrated into operational workflows by exploiting high-performance computing resources. We found a dramatic improvement of forecast quality when satellite retrievals are continuously assimilated. Management of volcanic risk and reduction of aviation impacts can strongly benefit from this research.
                    We present a new implementation of an ensemble-based data assimilation method to improve...
                    
                Altmetrics
                
                Final-revised paper
            
            
                    Preprint