A high-performance computing framework for Monte Carlo ocean color simulations

The authors are grateful to Dr. Giuseppe Zibordi (E.C. Joint Research Centre, Italy) for his support from in situ marine radiometry perspectives. This study was supported by the Portuguese Foundation for Science and Technology (FCT/MEC) through the grant PEst-OE/EEI/UI0527/2011. Access to the Milipe...

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Bibliographic Details
Main Author: Kajiyama, Tamito (author)
Other Authors: D'Alimonte, Davide (author), Cunha, José C. (author)
Format: article
Language:eng
Published: 2018
Subjects:
high-performance computing
Monte Carlo simulation
ocean color
uncertainty
Software
Theoretical Computer Science
Computer Science Applications
Computer Networks and Communications
Computational Theory and Mathematics
SDG 14 - Life Below Water
Online Access:https://doi.org/10.1002/cpe.3860
Country:Portugal
Oai:oai:run.unl.pt:10362/42123
Description
Summary:The authors are grateful to Dr. Giuseppe Zibordi (E.C. Joint Research Centre, Italy) for his support from in situ marine radiometry perspectives. This study was supported by the Portuguese Foundation for Science and Technology (FCT/MEC) through the grant PEst-OE/EEI/UI0527/2011. Access to the Milipeia cluster (University of Coimbra, Portugal) was granted through the project 'Large-scale parallel Monte Carlo simulations for ocean colour applications.' Additional funding was granted through the ESA contract No. 22576/09/I-OL, ARG/003-025/1406/CIMA, and NOVA LINCS Ref. UID/CEC/04516/2013.

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