FESOM2.1-REcoM3 4.5 km model analysis for biogenic aerosol precursors in the Arctic Ocean

This dataset is related to the article “Wide-spread Occurrence and Increasing Trend of Biogenic Aerosol Precursors in the Arctic Ocean Simulated by an Ocean Biogeochemical Model” in JGR: Biogeoscience by M. Zeising, L. Oziel, Ö. Gürses, J. Hauck, B. Heinold, S. N. Losa, S. Thoms, M. van Pinxteren, C...

Full description

Bibliographic Details
Main Author: Zeising, Moritz
Other Authors: Oziel, Laurent, Gürses, Özgur, Hauck, Judith, Losa, Svetlana, Thoms, Silke, Völker, Christoph, Bracher, Astrid
Format: Dataset
Language:English
Published: 2023
Subjects:
Transparent Exopolymer Particles
biogeochemical modeling
Arctic Ocean
FESOM
REcoM
phytoplankton
Arctic
Phytoplankton
Sea ice
Online Access:https://zenodo.org/record/7886868
https://doi.org/10.5281/zenodo.7886868
Description
Summary:This dataset is related to the article “Wide-spread Occurrence and Increasing Trend of Biogenic Aerosol Precursors in the Arctic Ocean Simulated by an Ocean Biogeochemical Model” in JGR: Biogeoscience by M. Zeising, L. Oziel, Ö. Gürses, J. Hauck, B. Heinold, S. N. Losa, S. Thoms, M. van Pinxteren, C. Völker, S. Zeppenfeld, and A. Bracher. It contains FESOM2.1-REcoM3 model output on the so-called farc mesh with a resolution of 4.5 km in the Arctic. The dataset provides curated model output of phytoplankton Chlorophyll a, sea-ice concentration, dissolved inorganic nitrogen, dissolved, carboxylic acid containing polysaccharides, Transparent Exopolymer Particles (TEP), and particulate organic carbon. Alongside, the model code, mesh diagnostics and region boundaries are included for completeness. We gratefully acknowledge the funding by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) – Projektnummer 268020496 – TRR 172, within the Transregional Collaborative Research Center "ArctiC Amplification: Climate Relevant Atmospheric and SurfaCe Processes, and Feedback Mechanisms (AC)3. Furthermore, the authors gratefully acknowledge the computing time granted by the Resource Allocation Board and provided on the supercomputer Lise and Emmy at NHR@ZIB and NHR@Göttingen as part of the NHR infrastructure. The calculations for this research were conducted with computing resources under the project hbk00084.

Similar Items