edu.ucar.opensky::articles:21933 UCAR/NCAR - Library OpenSky Support PO Box 3000 Boulder CO 80307-3000 opensky@ucar.edu http://opensky.ucar.edu/ homepage pointOfContact 2025-12-25T15:49:30.333709 ISO 19115-2 Geographic Information - Metadata - Part 2: Extensions for Imagery and Gridded Data ISO 19115-2:2009(E) https://n2t.org/ark:/85065/d7sn0cvk https://doi.org/10.7265/N55M63M1 https Related CreativeWork #1 NOAA/NSIDC Climate Data Record of Passive Microwave Sea Ice Concentration, Version 2 https://doi.org/10.5281/zenodo.1308226 https Related Dataset #1 Cice6 Simulations: Quality Control For Community Based Sea Ice Model Development https://doi.org/10.5281/zenodo.1311274 https Related Dataset #2 2Spt Test Time Series: Quality Control For Community Based Sea Ice Model Development https://doi.org/10.5067/SXJVJ3A2XIZT https Related Dataset #3 Arctic Sea Ice Freeboard and Thickness, Version 1 https://doi.org/10.5281/zenodo.1308236 https Related Dataset #4 Rasm Simulations: Quality Control For Community Based Sea Ice Model Development https://doi.org/10.5281/zenodo.1308242 https Related Dataset #5 Gofs Simulations: Quality Control For Community Based Sea Ice Model Development https://doi.org/10.5281/zenodo.1308965 https Related Dataset #6 Eccc Simulations: Quality Control For Community Based Sea Ice Model Development Quality control for community-based sea-ice model development 2018-09-28T00:00:00Z publication https://n2t.org/ark:/85065/d7sn0cvk https://doi.org/10.1098/rsta.2017.0344 Roberts, A. F. author Hunke, E. C. author Allard, R. author Bailey, David A. author Craig, A. P. author Lemieux, J. author Turner, M. D. author UCAR/NCAR - Library publisher 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. UCAR/NCAR - Library OpenSky Support PO Box 3000 Boulder CO 80307-3000 opensky@ucar.edu http://opensky.ucar.edu/ homepage pointOfContact PDF Text theme Resource Type 2016-01-01T00:00:00Z publication Copyright 2018 Author(s). Published under license by The Royal Society. None eng geoscientificInformation