Quality control for community-based sea-ice model development.
| Autor: | Roberts AF; Naval Postgraduate School, Monterey, CA, USA afrobert@nps.edu., Hunke EC; Los Alamos National Laboratory, Los Alamos, NM, USA., Allard R; Naval Research Laboratory, Stennis Space Center, MS, USA., Bailey DA; National Center for Atmospheric Research, Boulder, CO, USA., Craig AP; Cherokee Nation Technologies in support of NOAA Earth System Research Laboratory, Washington, DC, USA., Lemieux JF; Recherche en Prévision Numérique Environnementale, Environnement et Changement Climatique Canada Dorval, QC, Canada., Turner MD; DoD HPCMP PETTT, Engility Corp., Stennis Space Center, MS, USA. |
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| Jazyk: | angličtina |
| Zdroj: | Philosophical transactions. Series A, Mathematical, physical, and engineering sciences [Philos Trans A Math Phys Eng Sci] 2018 Sep 28; Vol. 376 (2129). |
| DOI: | 10.1098/rsta.2017.0344 |
| Abstrakt: | A new collaborative organization for sea-ice model development, the CICE Consortium, has devised quality control procedures to maintain the integrity of its numerical codes' physical representations, enabling broad participation from the scientific community in the Consortium's open software development environment. Using output from five coupled and uncoupled configurations of the Los Alamos Sea Ice Model, CICE, we formulate quality control methods that exploit common statistical properties of sea-ice thickness, and test for significant changes in model results in a computationally efficient manner. New additions and changes to CICE are graded into four categories, ranging from bit-for-bit amendments to significant, answer-changing upgrades. These modifications are assessed using criteria that account for the high level of autocorrelation in sea-ice time series, along with a quadratic skill metric that searches for hemispheric changes in model answers across an array of different CICE configurations. These metrics also provide objective guidance for assessing new physical representations and code functionality.This article is part of the theme issue 'Modelling of sea-ice phenomena'. (© 2018 The Authors.) |
| Databáze: | MEDLINE |
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