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
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Cited
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.
- 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.
- Uncertainty quantification in volcanology: observations, numerical modelling, and hazard/risk assessment: preface to the special issue A. Tadini et al.
- Uncertainty-bounded estimates of ash cloud properties using the ORAC algorithm: application to the 2019 Raikoke eruption A. Prata et al.
- Eruption plumes extended more than 30 km in altitude in both phases of the Millennium eruption of Paektu (Changbaishan) volcano A. Costa et al.
- The 2019 Raikoke eruption as a testbed used by the Volcano Response group for rapid assessment of volcanic atmospheric impacts J. Vernier et al.
- Conducting volcanic ash cloud exercises: practising forecast evaluation procedures and the pull-through of scientific advice to the London VAAC F. Beckett et al.
- Assimilation of ground-based GNSS data using a local ensemble Kalman filter C. Shao & L. Nerger
- Reconstructing tephra fall deposits via ensemble-based data assimilation techniques L. Mingari et al.
- Refining an ensemble of volcanic ash forecasts using satellite retrievals: Raikoke 2019 A. Capponi et al.
- The Impact of Profiles Data Assimilation on an Ideal Tropical Cyclone Case C. Shao & L. Nerger
- 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.
- NAQPMS-PDAF v2.0: a novel hybrid nonlinear data assimilation system for improved simulation of PM2.5 chemical components H. Li et al.
- WRF-PDAF v1.0: implementation and application of an online localized ensemble data assimilation framework C. Shao & L. Nerger
- Dynamic management of uncertainty in rapid tsunami forecasting L. Cordrie et al.
- Stereo Plume Height and Motion Retrievals for the Record‐Setting Hunga Tonga‐Hunga Ha'apai Eruption of 15 January 2022 J. Carr et al.
- The EU Center of Excellence for Exascale in Solid Earth (ChEESE): Implementation, results, and roadmap for the second phase A. Folch et al.
- Assessing long-term tephra fallout hazard in southern Italy from Neapolitan volcanoes S. Massaro et al.
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.
- 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.
- Uncertainty quantification in volcanology: observations, numerical modelling, and hazard/risk assessment: preface to the special issue A. Tadini et al.
- Uncertainty-bounded estimates of ash cloud properties using the ORAC algorithm: application to the 2019 Raikoke eruption A. Prata et al.
- Eruption plumes extended more than 30 km in altitude in both phases of the Millennium eruption of Paektu (Changbaishan) volcano A. Costa et al.
- The 2019 Raikoke eruption as a testbed used by the Volcano Response group for rapid assessment of volcanic atmospheric impacts J. Vernier et al.
- Conducting volcanic ash cloud exercises: practising forecast evaluation procedures and the pull-through of scientific advice to the London VAAC F. Beckett et al.
- Assimilation of ground-based GNSS data using a local ensemble Kalman filter C. Shao & L. Nerger
- Reconstructing tephra fall deposits via ensemble-based data assimilation techniques L. Mingari et al.
- Refining an ensemble of volcanic ash forecasts using satellite retrievals: Raikoke 2019 A. Capponi et al.
- The Impact of Profiles Data Assimilation on an Ideal Tropical Cyclone Case C. Shao & L. Nerger
- 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.
- NAQPMS-PDAF v2.0: a novel hybrid nonlinear data assimilation system for improved simulation of PM2.5 chemical components H. Li et al.
- WRF-PDAF v1.0: implementation and application of an online localized ensemble data assimilation framework C. Shao & L. Nerger
- Dynamic management of uncertainty in rapid tsunami forecasting L. Cordrie et al.
- Stereo Plume Height and Motion Retrievals for the Record‐Setting Hunga Tonga‐Hunga Ha'apai Eruption of 15 January 2022 J. Carr et al.
- The EU Center of Excellence for Exascale in Solid Earth (ChEESE): Implementation, results, and roadmap for the second phase A. Folch et al.
- Assessing long-term tephra fallout hazard in southern Italy from Neapolitan volcanoes S. Massaro et al.
Saved (final revised paper)
Latest update: 28 Apr 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...
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