RESICE - Reusability-targeted Enriched Sea Ice Core Database - General Information

A large number of sea ice core data sets are available that have been acquired by research groups around the world and published in different data repositories. The structure of sea ice core data differs substantially across repositories and entries regarding combinations of content, level and quality of description, label names, formats, units, etc. Here, we have compiled sea ice core data and metadata available in data sets (DS) into a tabular database. Additionally, we have added data and metadata from articles (A) and expedition reports (ER). We have enriched the database with metadata from instrument manuals (IM) and controlled terminologies (CT) such as the Sea Ice Nomenclature (SIN) from the World Meteorological Organization (WMO) and the Polygon data set of water body extent from the SeaVoX Salt and Fresh Water Body Gazetteer by the British Oceanographic Data Centre (BODC). We grouped the type of sources into primary sources (DS), secondary sources (A, ER), and tertiary sources (IM, CT). RESICE enhances reusability of the included sea ice core data through enrichment. RESICE provides a comprehensive resource for sea ice modeling applications that aim at using information from compiled sea ice core data. Some examples are calibration and validation of physics-based process models addressing the generation and evolution of sea ice or the training of data-driven models that rely on harmonized training data. As data and metadata are combined from many sources, each entry in the data set needs to be traceable to the original source and its corresponding DOI or URL. Where appropriate, we refer to the original excerpt, figure or table of the original source or comment on inconsistencies or required changes to transparently communicate the entries origin. This is the general information on the database. Please find Part A of the database that can be reused under license CC-BY, and Part B of the database that can be reused under license CC-BY-SA. RESICE can be interactively viewed, analyzed and plotted in the MOSAiC webODV instance. RESICE can be reproduced and extended with the pyresice Python package available on gitLab.