[Stoch] Call for Papers EGU 2014: Stochastic Approaches for Multiscale Modelling in Geosciences
Christian Franzke
christian.franzke at gmail.com
Thu Jan 9 01:09:08 MST 2014
Dear Colleagues!
We would like to invite you to submit contributions to our session
"Stochastic Approaches for Multiscale Modelling in Geosciences"
at this years EGU General Assembly in Vienna, Austria, 27 April - 02 May
2014.
The deadline for abstract submission is January 16th at 13:00 CET.
Information about our session NP8.1 and how to submit an abstract can be
found at:
http://meetingorganizer.copernicus.org/EGU2014/session/14426
Description:
The myriad physical processes that occur over a wide range of spatial
and temporal scales in geophysical systems give rise to complex behavior
and low frequency variability. Neither the importance of understanding
the low frequency variability nor the difficulty of being able to
appropriately model it can be over-emphasized. Indeed, several
deficiencies in predicting such systems (e.g., climate) can be traced
back to a misrepresentation of scale interactions. The latter, in turn,
leads to systematic biases in resolved-scale processes.
From the modeling point of view, given the non-uniqueness of small
scales with respect to large scales and possible separation of scales
between those explicitly modeled and those studied, stochastic
approaches can provide more realistic representations of the multi-scale
variability and allow transitions between attractors. On the other hand,
such approaches also allow for a quantification of uncertainties that
are inherent in the modeling of these multi-scale systems. It is
important to note that such quantification of uncertainty is directly
linked to the ability to compare models and observations, and combine
them as in data assimilation techniques.
We invite contributions spanning fundamental studies of stochastic
approaches, stochastic modelling of geophysical systems, stochastic
parameterisations, data assimilation using stochastic methods and
extreme value studies using a stochastic framework
Looking forward to seeing you at EGU,
Christian Franzke, Said Gaci , Daniel Schertzer , Balasubramanya Nadiga
, Orietta Nicolis
--
Dr. Christian Franzke
Meteorologisches Institut
KlimaCampus
Universität Hamburg
Grindelberg 5
D-20144 Hamburg
Germany
Email: christian.franzke at gmail.com
Phone: +49 (0)40428389201
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