Dear all,
If you plan on going to AGU Fall Meeting 2013, please consider submitting an abstract to the IN-034 session (see below).
Remember that AGU abstracts are referenced (Eos Transactions, ..., Fall Meet. Suppl., Abstract XXXXX-XXXX), which makes your codes/programs/presentations sort-of referenced !
We are looking forward to see many many abstracts submissions !!
Best regards,
Thomas & Lion
IN034. Ultra-scale Earth System's Analyses using Python
*Section/Focus Group:*
Earth and Space Science Informatics (IN) <http://fallmeeting.agu.org/2013/scientific-program/session-search/?sectionfocus_group-2=105&co-sponsors=0&swirls=0&index_terms=0&keywords&l=2013scientific-programsession-search2F&session_general_search=1&search=1>
*Conveners:*
1. Charles Doutriaux
Lawrence Livermore Ntnl Lab
doutriaux1@llnl.gov <mailto:doutriaux1@llnl.gov>
2. Thomas Lecocq
Royal Observatory of Belgium
Thomas.Lecocq@seismology.be <mailto:Thomas.Lecocq@seismology.be>
3. Thomas Maxwell
NASA Goddard Space Flight Center
thomas.maxwell@nasa.gov <mailto:thomas.maxwell@nasa.gov>
4. Lion Krischer
Ludwig-Maximilians-Universit
krischer@geophysik.uni-muenchen.de
<mailto:krischer@geophysik.uni-muenchen.de>
*Description:*
New high level, open-source languages have spread their reach to the earth-sciences community. This session focuses on the Python language and aims at further promoting its use. While Python is well established for day-to-day operations on local/small datasets, until recently it was still quasi-inexistent when it came to handling large ones. This is changing and more and more advanced Python-based technics and tools are being offered to the community, such as for example UV-CDAT for climate research or OBSPY for seismology.This session calls for papers describing recent advances in the handling, analysis and visualization of ultra-scale and/or distributed datasets using Python as well as demonstrated production quality solutions for Earth Systems.