Quality control for community-based sea-ice model development
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Authors
Roberts, Andrew F.
Hunke, Elizabeth C.
Allard, Richard
Bailey, David A.
Craig, Anthony P.
Lemieux, Jean-François
Turner, Matthew D.
Subjects
CICE
Icepack
earth system modelling
sea-ice forecasting
Icepack
earth system modelling
sea-ice forecasting
Advisors
Date of Issue
2018
Date
Publisher
Royal Society
Language
Abstract
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.
Type
Article
Description
The article of record as published may be found at http://dx.doi.org/10.1098/rsta.2017.0344
Series/Report No
Department
Organization
Naval Postgraduate School (U.S.)
Identifiers
NPS Report Number
Sponsors
DOE Office of Science
National ESPC Committee Support Project
National Science Foundation. A.P.C.
Canadian Operational Network of Coupled Environmental Prediction Systems (CONCEPTS)
US Department of Defense (DOD) High Performance Computing Modernization Program (HPCMP) PETTT Program
Isaac Newton Institute for Mathematical Sciences, Cambridge
National ESPC Committee Support Project
National Science Foundation. A.P.C.
Canadian Operational Network of Coupled Environmental Prediction Systems (CONCEPTS)
US Department of Defense (DOD) High Performance Computing Modernization Program (HPCMP) PETTT Program
Isaac Newton Institute for Mathematical Sciences, Cambridge
Funder
US Department of Energy (DOE) DESC0005522
DOE- DESC0005783
Office of Naval Research (ONR) N0001417WX00563
EPSRC grant no. EP/K032208/1
DOE- DESC0005783
Office of Naval Research (ONR) N0001417WX00563
EPSRC grant no. EP/K032208/1
Format
18 p.
Citation
Roberts, Andrew F., et al. "Quality control for community-based sea-ice model development." Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences 376.2129 (2018): 20170344.
Distribution Statement
Rights
This publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. Copyright protection is not available for this work in the United States.