The VolSatView information system for Monitoring the Volcanic Activity in Kamchatka and on the Kuril Islands

Гордеев, Е. И.; Гирина, О.А.; Lupyan, E. A.; Сорокин, А. А.; Kramareva, L.S.; Efremov, V. Yu.; Kashnitskii, A.V.; Uvarov, I.A.; Burtsev, М.А.; Romanova, I.M.; Melnikov, Dmitry; Manevich, A.G.; Korolev, S.P.; Верхотуров, А. Л.

doi:10.1134/s074204631606004x

Cited by 46 publications

(44 citation statements)

References 6 publications

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“…Using the modified Puff-UAF software suite, the Information Systems "Signal" and "VolSatView" provides new possibilities to create the tools capable of simulating the ash cloud movement trajectories and to perform a joint analysis of the obtained results and the remote sensing data [Gordeev et al, 2016].…”

Section: Resultsmentioning

confidence: 99%

“…To estimate the numerical simulation results, the remote sensing data recorded by the AVHRR sensor operating on board of NOAA-18 satellite on 4 March 2015 (05:03 UTC) and stored in the Information System "VolSatView" were used [Gordeev et al, 2016;Sorokin et al, 2016a]. Figure 4a and Figure 4b illustrates the results of the satellite data processing (a difference of the 11 and 12 micron channels) combined with the numerical simulation results obtained using the original (a) and modified (b) puff utility versions making use of wgrib2-generated NetCDF input files.…”

Section: A Comparative Analysis Of the Obtained Resultsmentioning

confidence: 99%

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Improving the system of numerical simulation of volcanic ash propagation using the PUFF model

Malkovsky¹,

Сорокин²,

Korolev³

2017

Russ. J. Earth Sci.

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The ash clouds and plumes produced during explosive volcano eruptions are extremely hazardous for the population and economic activities and, for this reason, their detection and control over their movements are considered an urgent and vital problem. The solution of the problem is primarily linked to the satellite data analysis and modeling volcanic ash cloud movement trajectories. One of the most accepted models widely used in these investigations is the PUFF model and its Puff-UAF software implementation. The experience of applying the model in different regions of the world for more than a decade to investigate volcano explosive eruptions has shown a sufficient correlation established between the forecasted and observed volcanic ash cloud movement trajectories obtained using remote sensing methods. The paper describes the existing approaches and program solutions applied to meteorological dataset preprocessing for numerical simulation of the ash cloud movement and dispersion from explosive volcano eruptions using the Puff-UAF software suite. The detected problems of wgrib2-generated NetCDF file usage for the puff program operation, as well as their solutions, are discussed. The test numerical simulation results derived using different Puff-UAF versions, the original Puff-UAF 2.2.2 and the Puff-UAF with the authors' puff source code modifications are presented. Their comparison with remote sensing data obtained for the Shiveluch volcano eruption is made and the correctness of the puff source code modifications is concluded. KEYWORDS: Volcano monitoring; forecasting; computational models; algorithms; software tools and services; remote sensing.Citation: Malkovsky, Sergey I., Aleksei A. Sorokin, and Sergey P. Korolev (2017), Improving the system of numerical simulation of volcanic ash propagation using the PUFF model, Russ.

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Section: Resultsmentioning

confidence: 99%

Section: A Comparative Analysis Of the Obtained Resultsmentioning

confidence: 99%

Improving the system of numerical simulation of volcanic ash propagation using the PUFF model

Malkovsky¹,

Сорокин²,

Korolev³

2017

Russ. J. Earth Sci.

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“…Since 2013, the satellite-based monitoring of the volcano was conducted using the Monitoring of Volcanic Activity in Kamchatka and on the Kuril Islands information system (IS) (VolSatView, http://volcanoes.smislab.ru), which allows integrated handling of different satellite data (NOAA (an AVHRR instrument), Terra and Aqua (MODIS), Suomi NPP (VIIRS), Meteor-M (1, 2); Landsat (4,5,7,and 8), EO-1 Hyperion, Kanopus-V, Resurs P, and others), as well as of weather and ground-based data, the results from simulation of ash plume propagation for continuous monitoring, and results from studies of volcanic activity in the Kuril-Kamchatka region (Gordeev et al, 2016).…”

Section: Monitoring the Activity Of Zhupanovskii Volcano The Kamchatkmentioning

confidence: 99%

Satellite and Ground-Based Observations of Explosive Eruptions on Zhupanovsky Volcano, Kamchatka, Russia in 2013 and in 2014–2016

Гирина

Loupian

Сорокин

et al. 2018

J. Volcanolog. Seismol.

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“…Однако слабое развитие сети наземных наблюде-ний затрудняет проведение мониторинга вулканической активности. На сегодняшний мо-мент только различные спутниковые системы позволяют непрерывно наблюдать за активны-ми вулканами Камчатки и Курильских островов (Gordeev et al, 2016).…”

Section: Introductionunclassified

Dynamics of Snow volcano eruption (Chirpoi Island, Kuriles) in 2012–2017: results of VIIRS Nightfire algorithm application

Melnikov¹,

Zhizhin²,

Trifonov³

et al. 2018

Sovr. Probl. DZZ Kosm.

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The VolSatView information system for Monitoring the Volcanic Activity in Kamchatka and on the Kuril Islands

Cited by 46 publications

References 6 publications

Improving the system of numerical simulation of volcanic ash propagation using the PUFF model

Improving the system of numerical simulation of volcanic ash propagation using the PUFF model

Satellite and Ground-Based Observations of Explosive Eruptions on Zhupanovsky Volcano, Kamchatka, Russia in 2013 and in 2014–2016

Dynamics of Snow volcano eruption (Chirpoi Island, Kuriles) in 2012–2017: results of VIIRS Nightfire algorithm application

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