Big Ensemble Data Assimilation in Numerical Weather Prediction.
Powerful computers and advanced sensors enable precise simulations of the atmospheric state, requiring data assimilation to connect simulations to real-world sensor data using statistical mathematics and dynamical systems theory. Numerical weather prediction (NWP) thus enables simulations that more...
| Publicado en: | Computer (00189162) Vol. 48; no. 11; pp. 15 - 22 |
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| Autores principales: | , , |
| Formato: | Artículo |
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IEEE
Nov2015
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| Materias: | |
| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=hlh&AN=111647106&site=ehost-live header: @attributes: shortDbName: hlh uiTerm: 111647106 longDbName: Humanities International Complete uiTag: AN controlInfo: bkinfo: jinfo: jid: 00189162 PUT jtl: Computer (00189162) issn: 00189162 maglogo: N pubinfo: dt: Nov2015 vid: 48 iid: 11 pid: 13605 pub: IEEE artinfo: ui: 111647106 10.1109/MC.2015.332 ppf: 15 ppct: 7 formats: tig: atl: Big Ensemble Data Assimilation in Numerical Weather Prediction. aug: au: Miyoshi, Takemasa Kondo, Keiichi Terasaki, Koji affil: RIKEN Advanced Institute for Computational Science, University of Maryland, and Japan Agency for Marine-Earth Science and Technology RIKEN Advanced Institute for Computational Science su: Big data Weather forecasting Computer simulation Statistics Dynamical systems sug: subj: Big data Weather forecasting Computer simulation Statistics Dynamical systems keyword: Atmospheric modeling Computational modeling data assimilation Data models high-performance computing large ensemble numerical weather prediction Predictive models visualization ab: Powerful computers and advanced sensors enable precise simulations of the atmospheric state, requiring data assimilation to connect simulations to real-world sensor data using statistical mathematics and dynamical systems theory. Numerical weather prediction (NWP) thus enables simulations that more closely represent the real world. The authors explore the NWP-associated challenges in managing big data through supercomputing. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: Y dt: @attributes: year: 2015 holdings: @attributes: islocal: N |
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