Many Task Computing for Real-Time Uncertainty Prediction and Data Assimilation in the Ocean

Many Task Computing for Real-Time Uncertainty Prediction and Data Assimilation in the Ocean

Uncertainty prediction for ocean and climate predictions is essential for multiple applications today. Many-Task Computing can play a significant role in making such predictions feasible. In this manuscript, we focus on ocean uncertainty prediction using the Error Subspace Statistical Estimation (ES...

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Bibliographic Details
Main Authors: Evangelinos, Constantinos, Lermusiaux, Pierre, Xu, Jinshan, Haley, Patrick, Hill, Christopher N.
Other Authors: Massachusetts Institute of Technology. Department of Earth, Atmospheric, and Planetary Sciences
Format: Article
Published: Institute of Electrical and Electronics Engineers (IEEE) 2018
Online Access:http://hdl.handle.net/1721.1/119827
https://orcid.org/0000-0002-1869-3883
https://orcid.org/0000-0003-3417-9056

Internet

http://hdl.handle.net/1721.1/119827
https://orcid.org/0000-0002-1869-3883
https://orcid.org/0000-0003-3417-9056

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