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    A Minimum Standard for Publishing Computational Results in the Weather and Climate Sciences

    Source: Bulletin of the American Meteorological Society:;2015:;volume( 097 ):;issue: 007::page 1149
    Author:
    Irving, Damien
    DOI: 10.1175/BAMS-D-15-00010.1
    Publisher: American Meteorological Society
    Abstract: eather and climate science has undergone a computational revolution in recent decades, to the point where all modern research relies heavily on software and code. Despite this profound change in the research methods employed by weather and climate scientists, the reporting of computational results has changed very little in relevant academic journals. This lag has led to something of a reproducibility crisis, whereby it is impossible to replicate and verify most of today?s published computational results. While it is tempting to simply decry the slow response of journals and funding agencies in the face of this crisis, there are very few examples of reproducible weather and climate research upon which to base new communication standards. In an attempt to address this deficiency, this essay describes a procedure for reporting computational results that was employed in a recent Journal of Climate paper. The procedure was developed to be consistent with recommended computational best practices and seeks to minimize the time burden on authors, which has been identified as the most important barrier to publishing code. It should provide a starting point for weather and climate scientists looking to publish reproducible research, and it is proposed that journals could adopt the procedure as a minimum standard.
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      A Minimum Standard for Publishing Computational Results in the Weather and Climate Sciences

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    http://yetl.yabesh.ir/yetl1/handle/yetl/4215805
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    contributor authorIrving, Damien
    date accessioned2017-06-09T16:45:50Z
    date available2017-06-09T16:45:50Z
    date copyright2016/07/01
    date issued2015
    identifier issn0003-0007
    identifier otherams-73666.pdf
    identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4215805
    description abstracteather and climate science has undergone a computational revolution in recent decades, to the point where all modern research relies heavily on software and code. Despite this profound change in the research methods employed by weather and climate scientists, the reporting of computational results has changed very little in relevant academic journals. This lag has led to something of a reproducibility crisis, whereby it is impossible to replicate and verify most of today?s published computational results. While it is tempting to simply decry the slow response of journals and funding agencies in the face of this crisis, there are very few examples of reproducible weather and climate research upon which to base new communication standards. In an attempt to address this deficiency, this essay describes a procedure for reporting computational results that was employed in a recent Journal of Climate paper. The procedure was developed to be consistent with recommended computational best practices and seeks to minimize the time burden on authors, which has been identified as the most important barrier to publishing code. It should provide a starting point for weather and climate scientists looking to publish reproducible research, and it is proposed that journals could adopt the procedure as a minimum standard.
    publisherAmerican Meteorological Society
    titleA Minimum Standard for Publishing Computational Results in the Weather and Climate Sciences
    typeJournal Paper
    journal volume97
    journal issue7
    journal titleBulletin of the American Meteorological Society
    identifier doi10.1175/BAMS-D-15-00010.1
    journal fristpage1149
    journal lastpage1158
    treeBulletin of the American Meteorological Society:;2015:;volume( 097 ):;issue: 007
    contenttypeFulltext
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    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
    yabeshDSpacePersian