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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Detalhes bibliográficos
Autor principal: Kajiyama, Tamito (author)
Outros Autores: D'Alimonte, Davide (author), Cunha, José C. (author)
Formato: article
Idioma:eng
Publicado em: 2018
Assuntos:
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
Texto completo:https://doi.org/10.1002/cpe.3860
País:Portugal
Oai:oai:run.unl.pt:10362/42123
Descrição
Resumo: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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