VOLCANO: EGU 2018 Call for Abstract - Session GMPV5.3/AS3.9/NH6.11

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From: Elisa Carboni <elisa@xxxxxxxxxxxx>
Subject: EGU 2018 Call for Abstract - Session GMPV5.3/AS3.9/NH6.11
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Dear Colleagues,


We would like to draw your attention to the following session at the 2018
EGU General Assembly (Vienna, Austria, 8-13 April 2018):



*Satellite-based quantification and modelling of volcanic gas, aerosol and
ash emission: dispersal and chemical evolution*” [GMPV5.3/AS3.9/NH6.11]

http://meetingorganizer.copernicus.org/EGU2018/session/27173

The session detail is reported below. The abstract submission deadline is
January 10, 2018 (13:00 CET).


Further information about the EGU General Assembly 2018 can be found at:
https://egu2018.eu/



Looking forward to see you in Vienna,


Stefano Corradini  (INGV)

Marie Boichu (Université Lille 1, France)

Catherine Hayer (Michigan Technological University, US)

Brendan McCormick (Smithsonian Institution, US)

Mike Burton (University of Manchester, UK)

Elisa Carboni (Oxford University, UK)

Lieven Clarisse(ULB, Belgium)

Claire Witham (Met Office, UK)





We will examine the state of the art in retrieval of volcanic gas, aerosol
and ash emissions from volcanoes using satellite data. With new instruments
to be launched this is an exciting period for satellite observations of
volcanic emissions and new techniques are showing promise in how to
maximize the information potential of these data.

The use of such observations to constrain and inform dispersion models for
timely warning of potential hazards is a challenging area of ongoing
research and one where multi-disciplinary collaboration is important.

Recent advances have highlighted the potential for time series retrieval
from combining data from multiple satellite images. Combination of these
data with simulations of gas and ash dispersion is key to validating such
approaches, as well as understanding how they could be utilized within
operational environments.

We encourage submissions focusing on new datasets produced by satellite
remote sensing (including time series of gas and particulate emissions),
the validation of new and existing methods, and the challenges that remain
in detection and quantification of volcanic emissions. Abstracts presenting
novel techniques for observing volcanic emissions from air- and space-based
instruments and for the integration of such observations in dispersion
modelling are particularly welcome.












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