Ocean Modeling Discussion


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PostPosted: Sun Jan 10, 2016 5:28 pm 

Joined: Wed Sep 27, 2006 11:51 am
Posts: 5
Location: Inria
The deadline for submission of abstracts is 13 January 2016, 13:00 Central European Time.

Call for abstracts EGU general assembly, Vienna 17 april - 22 april 2016.

Dear colleagues,

Please consider submitting an abstract to the session :
OS4.4 : Recent algorithmic developments in oceanic models : numerical schemes and test-cases for model assessment

Description :
Ocean/sea-ice simulation models are widely used in realistic contexts for climate
studies (coupled to the atmosphere) and for the study of the atmospherically-forced
ocean general circulation, and in more simplified contexts for investigating isolated
processes (e.g. idealized test-cases). Thanks to advances in computational power,
those models are now configured with increasingly higher horizontal/vertical resolution
which requires continuous rethinking of numerical methods and modeling assumptions.
The objective of this session is to bring together scientists working on the improvement/development
of numerical kernels of ocean/sea-ice models (and/or simplified models like transport or
shallow-water equations), including their synergy with physical parameterizations.

The scope is on the design, testing, and application of new numerical methods, and the
assessment of methods currently used in existing state-of-the-art models in realistic or
idealized configurations.

This includes three main topics

(i) horizontal/vertical discretization techniques adapted to fixed/variable structured/non-structured
meshes, and the associated time-integration techniques,
(ii) the adaptation of numerical methods to physical constraints : monotonic/positive-definite
schemes for passive tracers, the control of numerically-induced mixing, and more generally
physics-dynamics coupling issues,
(iii) the development of semi-idealized test-cases and/or realistic configurations to exploring the
merits of different numerical approaches and highlighting successes, deficiencies or biases in model
code, approximations or parameterizations.

Conveners :
Florian LemariƩ, Mehmet Ilicak, Sergei Danilov, Thierry Penduff, Laurent Debreu

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