Mn model terrestrial runoff sensitivity experiments of the Canadian Arctic Archipelago ocean - Model output and setup for Rogalla et al. 2023 ...

• Main Author: Rogalla, Birgit
• Format: Dataset
• Language: unknown
• Published: Federated Research Data Repository / dépôt fédéré de données de recherche 2023
• Subjects: GEOTRACES; Arctic Ocean; glacial melt; permafrost thaw; trace metals; biogeochemical cycles; climate change; Inuit Nunangat; geochemistry; runoff; Ocean biogeochemistry; Biogéochimie des océans; Arctic Archipelago; Arctic; Canadian Arctic Archipelago; Climate change; Ice; inuit; permafrost; Sea ice
• Online Access: https://dx.doi.org/10.20383/103.0599; https://www.frdr-dfdr.ca/repo/dataset/9c307d5a-88e8-4a3a-8bc7-067866deeb5b

We performed sensitivity experiments of the influence of terrestrial runoff from glaciated and continental regions using a model of manganese (Mn) in Inuit Nunangat, the Canadian Arctic Archipelago. The Mn model has parameterizations for sediment resuspension, river runoff, sea ice melt contributions, and scavenging (Mn model code available at doi: 10.20383/102.0388). The model is calculated offline with a 1/12 degree configuration (ANHA12) coupled ocean-ice model (NEMO) from 2002-2020. This repository contains the Mn model setup and raw output from four main experiments (reference, "glacial-enhanced", "continental-enhanced" and "seasonal-runoff") that were used to understand the influence of variations in runoff composition on the ocean, as well as the analysis code for Rogalla et al. (2023). ...