[ESIP-all] LAST CALL for AGU abstracts: Enabling Cloud Applications for Earth Science Data
e_kontar at hotmail.com
Mon Jul 31 12:38:22 EDT 2017
July 31, 2017
I want to submit my abstract to your session, and a week ago sent a message to Jeff with a draft of my abstract, but he did not answer. May I ask you to let me know if it is not too late to submit my abstract to your session?
Thank you for your time,
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From: agu-essi at googlegroups.com <agu-essi at googlegroups.com> on behalf of Jeff de La Beaujardiere - NOAA <jeff.delabeaujardiere at noaa.gov>
Sent: Monday, July 31, 2017 1:21 PM
To: DMIT; agu-essi at googlegroups.com; esip-all at lists.esipfed.org
Subject: LAST CALL for AGU abstracts: Enabling Cloud Applications for Earth Science Data
AGU abstract submissions are due August 2; early submissions encouraged because the system bogs down as the deadline approaches. We encourage submissions to our session on "Enabling Cloud Applications for Earth Science Data" at the AGU meeting December 11-15 in New Orleans. More information is below. Feel free to contact me with questions.
Description & Submission page for this session: https://agu.confex.com/agu/fm17/preliminaryview.cgi/Session21938
Instructions to submitters: http://fallmeeting.agu.org/2017/abstract-submissions/
NOTE: 1st author must be an AGU member ($50).
Session title: Enabling Cloud Applications for Earth Science Data
Conveners: Jeff de La Beaujardière (NOAA), Emily Law (JPL), Mike Little (NASA), Steve Aulenbach (USGS).
The ongoing body of Earth observations and model outputs comprises highly diverse datasets that span orders of magnitude in files sizes as well as in spatial and temporal extent and resolution. Assembling and computing on multiple sources and types of these data is therefore difficult, yet is increasingly necessary for understanding changing environmental conditions and supporting decisions.
This session seeks papers on the technical challenges and applied use of Cloud computing for Earth science modeling, simulation, reprocessing, intercomparison, analysis, product generation, and decision support. Submissions are welcomed on topics such as efficiently transferring, synchronizing, and validating data in the Cloud; approaches for discovery, organization, integration, or semantic linking of datasets in the Cloud; management of cloud instances; case studies demonstrating the benefit (or not) of Cloud computing; successful applications of Cloud computing to support decision-making; and other relevant subjects.
Jeff de La Beaujardiere, PhD
NOAA Data Management Architect
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