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.
Research article
| 
07 Feb 2022
Research article |
| 07 Feb 2022
| 07 Feb 2022
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: 5,399 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 21 Sep 2021)
| HTML | XML | Total | Supplement | BibTeX | EndNote | |
|---|---|---|---|---|---|---|
| 4,423 | 872 | 104 | 5,399 | 250 | 123 | 133 |
- HTML: 4,423
- PDF: 872
- XML: 104
- Total: 5,399
- Supplement: 250
- BibTeX: 123
- EndNote: 133
Total article views: 4,402 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 07 Feb 2022)
| HTML | XML | Total | Supplement | BibTeX | EndNote | |
|---|---|---|---|---|---|---|
| 3,739 | 579 | 84 | 4,402 | 137 | 109 | 117 |
- HTML: 3,739
- PDF: 579
- XML: 84
- Total: 4,402
- Supplement: 137
- BibTeX: 109
- EndNote: 117
Total article views: 997 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 21 Sep 2021)
| HTML | XML | Total | Supplement | BibTeX | EndNote | |
|---|---|---|---|---|---|---|
| 684 | 293 | 20 | 997 | 113 | 14 | 16 |
- HTML: 684
- PDF: 293
- XML: 20
- Total: 997
- Supplement: 113
- BibTeX: 14
- EndNote: 16
Viewed (geographical distribution)
Total article views: 5,399 (including HTML, PDF, and XML)
Thereof 5,359 with geography defined
and 40 with unknown origin.
Total article views: 4,402 (including HTML, PDF, and XML)
Thereof 4,358 with geography defined
and 44 with unknown origin.
Total article views: 997 (including HTML, PDF, and XML)
Thereof 997 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. https://doi.org/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. https://doi.org/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. https://doi.org/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. https://doi.org/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. https://doi.org/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. https://doi.org/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. https://doi.org/10.1007/s00445-024-01717-9
- Assimilation of ground-based GNSS data using a local ensemble Kalman filter C. Shao & L. Nerger https://doi.org/10.1038/s41598-024-72915-w
- Reconstructing tephra fall deposits via ensemble-based data assimilation techniques L. Mingari et al. https://doi.org/10.5194/gmd-16-3459-2023
- Refining an ensemble of volcanic ash forecasts using satellite retrievals: Raikoke 2019 A. Capponi et al. https://doi.org/10.5194/acp-22-6115-2022
- The Impact of Profiles Data Assimilation on an Ideal Tropical Cyclone Case C. Shao & L. Nerger https://doi.org/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. https://doi.org/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. https://doi.org/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 https://doi.org/10.5194/gmd-17-4433-2024
- Dynamic management of uncertainty in rapid tsunami forecasting L. Cordrie et al. https://doi.org/10.1038/s43247-025-02586-6
- Resolving the limits of MJO forecast skill: large-sample-based ensemble optimization in the IAP-CAS S2S model Y. Liu et al. https://doi.org/10.3389/fclim.2026.1828808
- Stereo Plume Height and Motion Retrievals for the Record‐Setting Hunga Tonga‐Hunga Ha'apai Eruption of 15 January 2022 J. Carr et al. https://doi.org/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. https://doi.org/10.1016/j.future.2023.04.006
- Assessing long-term tephra fallout hazard in southern Italy from Neapolitan volcanoes S. Massaro et al. https://doi.org/10.5194/nhess-23-2289-2023
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. https://doi.org/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. https://doi.org/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. https://doi.org/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. https://doi.org/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. https://doi.org/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. https://doi.org/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. https://doi.org/10.1007/s00445-024-01717-9
- Assimilation of ground-based GNSS data using a local ensemble Kalman filter C. Shao & L. Nerger https://doi.org/10.1038/s41598-024-72915-w
- Reconstructing tephra fall deposits via ensemble-based data assimilation techniques L. Mingari et al. https://doi.org/10.5194/gmd-16-3459-2023
- Refining an ensemble of volcanic ash forecasts using satellite retrievals: Raikoke 2019 A. Capponi et al. https://doi.org/10.5194/acp-22-6115-2022
- The Impact of Profiles Data Assimilation on an Ideal Tropical Cyclone Case C. Shao & L. Nerger https://doi.org/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. https://doi.org/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. https://doi.org/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 https://doi.org/10.5194/gmd-17-4433-2024
- Dynamic management of uncertainty in rapid tsunami forecasting L. Cordrie et al. https://doi.org/10.1038/s43247-025-02586-6
- Resolving the limits of MJO forecast skill: large-sample-based ensemble optimization in the IAP-CAS S2S model Y. Liu et al. https://doi.org/10.3389/fclim.2026.1828808
- Stereo Plume Height and Motion Retrievals for the Record‐Setting Hunga Tonga‐Hunga Ha'apai Eruption of 15 January 2022 J. Carr et al. https://doi.org/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. https://doi.org/10.1016/j.future.2023.04.006
- Assessing long-term tephra fallout hazard in southern Italy from Neapolitan volcanoes S. Massaro et al. https://doi.org/10.5194/nhess-23-2289-2023
Saved (final revised paper)
Latest update: 15 Jun 2026
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