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Depositordc.contributorBrown, Nick
Funderdc.contributor.otherNERC - Natural Environment Research Councilen_UK
Spatial Coveragedc.coverage.spatialUKen
Spatial Coveragedc.coverage.spatialUNITED KINGDOMen
Data Creatordc.creatorBrown, Nick
Data Creatordc.creatorWeiland, Michele
Date Accessioneddc.date.accessioned2018-04-30T08:42:09Z
Date Availabledc.date.available2018-04-30T08:42:09Z
Citationdc.identifier.citationBrown, Nick; Weiland, Michele. (2018). Met Office NERC Cloud model (MONC), [software]. University of Edinburgh. EPCC. https://doi.org/10.7488/ds/2343.en
Persistent Identifierdc.identifier.urihttps://hdl.handle.net/10283/3071
Persistent Identifierdc.identifier.urihttps://doi.org/10.7488/ds/2343
Dataset Description (abstract)dc.description.abstractThis is the source code for the Met Office NERC Cloud model (MONC) which is an atmospheric model used to study clouds and turbulent flows. It has been shown to scale to over 32768 compute cores and includes both the simulation (computation of raw data prognostic fields) and in-situ data analytics to then convert these to diagnostics. A variety of sample test-cases are included and the README file describes, in detail, how to compile and run the model.en_UK
Languagedc.language.isoengen_UK
Publisherdc.publisherUniversity of Edinburgh. EPCCen_UK
Relation (Is Referenced By)dc.relation.isreferencedbyhttps://onlinelibrary.wiley.com/doi/abs/10.1002/cpe.4331en_UK
Relation (Is Referenced By)dc.relation.isreferencedbyhttps://dl.acm.org/citation.cfm?id=2820108en_UK
Relation (Is Referenced By)dc.relation.isreferencedbyhttps://cug.org/proceedings/cug2017_proceedings/includes/files/pap131s2-file1.pdfen_UK
Relation (Is Referenced By)dc.relation.isreferencedbyhttps://dl.acm.org/citation.cfm?id=2832115en_UK
Rightsdc.rightsCopyright (c) 2014 - 2016, the Met Office and Natural Environment Research Council All rights reserved. Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met: 1. Redistributions of source code must retain the above copyright notice, this list of conditions and the following disclaimer. 2. Redistributions in binary form must reproduce the above copyright notice, this list of conditions and the following disclaimer in the documentation and/or other materials provided with the distribution. 3. Neither the name of the copyright holder nor the names of its contributors may be used to endorse or promote products derived from this software without specific prior written permission. THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.en
Subjectdc.subjectMONCen_UK
Subjectdc.subjectHPCen_UK
Subjectdc.subjectParallel codeen_UK
Subjectdc.subjectin-situ analyticsen_UK
Titledc.titleMet Office NERC Cloud model (MONC)en_UK
Typedc.typesoftwareen_UK

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