Stereoscopic Estimation of Volcanic Ash Cloud-Top Height from Two Geostationary Satellites

Merucci, Luca; Zakšek, Klemen; Carboni, Elisa; Corradini, Stefano

doi:10.3390/rs8030206

Cited by 33 publications

(59 citation statements)

References 49 publications

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“…The ice/wd volcanic cloud speed is estimated to be about 41 m/s that, compared to the NCEP/NCAR wind speed profile (see Figure 2), corresponding to an altitude of about 10.5 km. The volcanic ice/wd cloud altitude is also confirmed by Merucci et al [44] that estimated the altitude by using an improved method based on the parallax effect between two geostationary instruments, i.e., SEVIRI and MVIRI on board the MSG2 and MFG (Meteosat First Generation) satellites.…”

Section: Volcanic Cloud Altitudesupporting

confidence: 59%

A Multi-Sensor Approach for Volcanic Ash Cloud Retrieval and Eruption Characterization: The 23 November 2013 Etna Lava Fountain

et al. 2016

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Volcanic activity is observed worldwide with a variety of ground and space-based remote sensing instruments, each with advantages and drawbacks. No single system can give a comprehensive description of eruptive activity, and so, a multi-sensor approach is required. This work integrates infrared and microwave volcanic ash retrievals obtained from the geostationary Meteosat Second Generation (MSG)-Spinning Enhanced Visible and Infrared Imager (SEVIRI), the polar-orbiting Aqua-MODIS and ground-based weather radar. The expected outcomes are improvements in satellite volcanic ash cloud retrieval (altitude, mass, aerosol optical depth and effective radius), the generation of new satellite products (ash concentration and particle number density in the thermal infrared) and better characterization of volcanic eruptions (plume altitude, total ash mass erupted and particle number density from thermal infrared to microwave). This approach is the core of the multi-platform volcanic ash cloud estimation procedure being developed within the European FP7-APhoRISM project. The Mt. Etna (Sicily, Italy) volcano lava fountaining event of 23 November 2013 was considered as a test case. The results of the integration show the presence of two volcanic cloud layers at different altitudes. The improvement of the volcanic ash cloud altitude leads to a mean difference between the SEVIRI ash mass estimations, before and after the integration, of about the 30%. Moreover, the percentage of the airborne "fine" ash retrieved from the satellite is estimated to be about 1%-2% of the total ash emitted during the eruption. Finally, all of the estimated parameters (volcanic ash cloud altitude, thickness and total mass) were also validated with ground-based visible camera measurements, HYSPLIT forward trajectories, Infrared Atmospheric Sounding Interferometer (IASI) satellite data and tephra deposits.

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Section: Volcanic Cloud Altitudesupporting

confidence: 59%

A Multi-Sensor Approach for Volcanic Ash Cloud Retrieval and Eruption Characterization: The 23 November 2013 Etna Lava Fountain

et al. 2016

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“…The inversion found in surface temperature and suggested by the cloud height was higher than expected in annual average, but the relation between cloud occurrence, surface temperature and atmospheric stratification has to be studied in more detail. Future work will examine if the derived cloud height corresponds with stereographic methods (Merucci et al, 2016) and if the seasonal variation in the inversion layer height can be seen in LST time series. Further, it would be interesting to see if specific cloud patterns and heights can be attributed to precipitation events and if significant trends in cloud occurrence and surface temperature can be detected despite the relatively limited period of MODIS data availability.…”

Section: Discussionmentioning

confidence: 99%

The Climate of the Canary Islands by Annual Cycle Parameters

Bechtel¹

2016

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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Commission VIII, WG VIII/3 KEY WORDS: Land surface temperature, annual temperature cycle, thermal infrared, MODIS. ABSTRACT:Annual cycle parameters (ACP) provide a global climatology of annual land surface temperature (LST) based on daily 1 km MODIS observations. These are based on a simple model of the annual temperature cycle and allow estimating LST patterns under largely cloud-free conditions for every day of year. Further, they deliver measures for the LST variability and the frequency of cloud occurrence. It has been demonstrated, that they reproduce important surface climate characteristics at global and urban scale but their ability to reproduce topo-climates has yet to be studied in detail. In this paper their suitability to investigate climatic variability at km scale were studied at the case of the Canary Islands (Spain). This Archipelago, has a very stable climate dominated by the Azores high and the trade wind belt, but shows a large number of micro-climates ranging from arid hot climates to cold climates. It was found that ACPs are a relevant source of climatic information at km scale in complex orography. Specifically, known features such as subsidence inversion, the resulting sea of clouds, the strong differentiation in precipitation between the flat and high islands, as well as the northern and southern slopes at the latter were clearly visible in the parameters.

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“…All the products will be delivered in clear sky condition, with the exception of the ash detection map that will be delivered also in cloudy sky conditions. Figure 4 shows the results obtained from the integration between satellite-and groundbased systems applied to the Etna 23 November 2013 lava fountain [9,10].…”

Section: The Mace Methodsmentioning

confidence: 99%

Advanced procedures for volcanic and seismic monitoring

Iorio¹,

Stramondo²,

Bignami³

et al. 2016

Int. J. SAFE

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European Union FP7 APhoRISM project proposes the development and testing of two new methods to combine Earth Observation satellite data from different sensors and ground data. The aim is to demonstrate that this two types of data, appropriately managed and integrated, can provide new improved Copernicus Emergency products useful for seismic and volcanic crisis management. The first method, APE -A Priori information for Earthquake damage mapping, concerns the generation of maps to address the detection and estimate of damage caused by a seismic event. The novelty of APE relies on the exploitation of a priori information derived by InSAR time series to measure surface movements, shake maps obtained from seismological data, and buildings vulnerability information. The second method, MACE -Multi-platform volcanic Ash Cloud Estimation, concerns the exploitation of GEO sensor platform, LEO satellite sensors and ground measures to improve the ash detection and retrieval, and to characterize the volcanic ash clouds. INGV covers the role of project coordinator and ALMA Sistemi is participating in the exploitation and dissemination of the project results.

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Stereoscopic Estimation of Volcanic Ash Cloud-Top Height from Two Geostationary Satellites

Cited by 33 publications

References 49 publications

A Multi-Sensor Approach for Volcanic Ash Cloud Retrieval and Eruption Characterization: The 23 November 2013 Etna Lava Fountain

A Multi-Sensor Approach for Volcanic Ash Cloud Retrieval and Eruption Characterization: The 23 November 2013 Etna Lava Fountain

The Climate of the Canary Islands by Annual Cycle Parameters

Advanced procedures for volcanic and seismic monitoring

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