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

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 contribution...

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Bibliographic Details
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
Description
Summary: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). ...

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