[Esip-documentation] Please consider submitting an abstract to this Ocean Sciences sessions -- abstracts due Sep 23

[Armstrong, Edward M (398G)]

Hi colleagues,

If you (or another colleague) are going to AGU Ocean Sciences 2016 in New Orleans, Feb 2016 please consider an abstract of your work to this session.

https://agu.confex.com/agu/os16/preliminaryview.cgi/Session9523

OD008:
Tools, Services and New Technology for Oceanographic Big Data
Submit an Abstract to this Session<https://agu.confex.com/agu/os16/od/papers/index.cgi?sessionid=9523>
Session ID#: 9523
Session Description:
Today’s oceanographic research is increasingly being conducted with broad and varied time series data that often bridges several remote sensing datasets with in situ information from autonomous sensors, ships, animal tracking, as well as ocean model inputs. However with more instruments becoming available that allow for longer time series and higher spatial resolution the datasets have become larger so that downloading and computing them locally is cumbersome and unwieldy. There are also an increasing number of datasets available. Previously there was often a single “community recognized dataset” for a parameter, for example, the “Reynolds SST” for sea surface temperature (SST). Now there are numerous other SST datasets to choose from. Working in this emerging environment requires new tools and services, storage and access paradigms, visualization and remote computation capabilities. Some existing web services like OPeNDAP, ERRDAP and Live Access Server do address some of these concerns, but fall short in addressing new challenges. In this session we seek such new or improved technologies that address these emerging challenges in using large volume and heterogeneous oceanographic data including tools, web services, visualization capabilities, novel storage and access methods, dataset discovery and relevance, and server and client side analysis.

-ed

Ed Armstrong
JPL Physical Oceanography DAAC
818 519-7607



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