[IGSMAIL-7339] AGU session on Separating and explaining multiple signals in geodetic data

Álvaro Santamaría alvaro.santamaria at univ-lr.fr
Tue Jul 26 06:42:42 PDT 2016


Dear Colleagues

Apologies for multiple postings.

We encourage you to submit your abstract to *session G021* (ID#: 12290) of
the next AGU fall meeting on *Separating and explaining multiple signals in
geodetic data.*

One of the great challenges of geodesy is to separate out, and understand,
the multiple signals that appear in the various geodetic time series. This
includes separating long-term and short-term signals with a desire to
remove one from the other, or signals with similar periods from other
signals or noise. This is particularly relevant as the noise floor reduces
with ongoing developments in data analysis. This session focuses on all
such geodetic data, and includes coordinate positions (including high rate
ones), gravity time series, sea level observations and earth orientation
data but applications from all applications of geodetic data are welcome.
Examples include separation of post-seismic deformation from plate tectonic
motion, glacial isostatic adjustment, hydrology and/or reference frame
errrors, or the various contributors to present-day polar motion.
Submissions are particularly welcome which focus on the application of
novel data filtering techniques or apply new models.

*Deadline is approaching!*

The abstract submission is open until the *3rd of August* and can be made
at https://agu.confex.com/agu/fm16/preliminaryview.cgi/Session12290 - there
is also an early submission deadline of July 27 with a chance to win a
prize http://fallmeeting.agu.org/2016/early-abstract-submission/.

We are looking forward to seeing you in San Francisco Dec 12-16, 2016.

Matt King and Alvaro Santamaría-Gómez.

_________________________________________________
*Alvaro Santamaría-Gómez*
Marie Sklodowska-Curie Research Fellow
LIENSs, CNRS/University of La Rochelle
Email: alvaro.santamaria at univ-lr.fr
www.alvarosantamariagomez.com
_________________________________________________
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