Articles | Volume 18, issue 12
https://doi.org/10.5194/gmd-18-3941-2025
https://doi.org/10.5194/gmd-18-3941-2025
Model description paper
 | 
01 Jul 2025
Model description paper |  | 01 Jul 2025

Development and assessment of the physical–biogeochemical ocean regional model in the Northwest Pacific: NPRT v1.0 (ROMS v3.9–TOPAZ v2.0)

Daehyuk Kim, Hyun-Chae Jung, Jae-Hong Moon, and Na-Hyeon Lee

Data sets

ROMS-TOPAZ (NPRT V1.0) input and output data D. Kim and H.-C. Jung https://doi.org/10.5281/zenodo.13941078

ROMS-TOPAZ (NPRT V1.0) plotting scripts D. Kim and H.-C. Jung https://doi.org/10.5281/zenodo.15228135

Global Ocean Physics Reanalysis E.U. Copernicus Marine Service Information (CMEMS) https://doi.org/10.48670/moi-00021

Temporal variations of net Kuroshio transport based on a repeated hydrographic section along 137E (https://www.data.jma.go.jp/gmd/kaiyou/db/vessel_obs/data-report/html/ship/ship_e.php) Y. Kawakami et al. https://doi.org/10.1007/s00382-021-06061-8

A new global interior ocean mapped climatology: the 1◦×1◦ GLODAP version 2 (https://www.ncei.noaa.gov/access/ocean-carbon-acidification-data-system/oceans/GLODAPv2_2022) S. K. Lauvset et al. https://doi.org/10.5194/essd-8-325-2016

Overview of the Coupled Model Intercomparison Project Phase 6 (CMIP6) experimental design and organization (https://aims2.llnl.gov/search/cmip6) V. Eyring et al. https://doi.org/10.5194/gmd-9-1937-2016

Colored Dissolved Organic matter (CDOM) Data Source NASA OBPG (NASA Ocean Biology Processing Group) https://oceandata.sci.gsfc.nasa.gov/l3/

The ERA5 global reanalysis (https://cds.climate.copernicus.eu/datasets) H. Hersbach et al. https://doi.org/10.1002/qj.3803

Elements of the Modular Ocean Model (MOM), Tech. Rep. GFDL Ocean Group Technical Report No. 7 S. M. Griffie https://github.com/mom-ocean/MOM5.git

The GEBCO_2022 Grid – A continuous terrain model of the global oceans and land GEBCO Bathymetric Compilation Group 2022 https://doi.org/10.5285/e0f0bb80-ab44-2739-e053-6c86abc0289c

Impacts of physical mixing combined with biological activity on spatiotemporal evolution of CO2 uptake within the plume discharged from the Changjiang River in the summer of 2016 D. Kim et al. https://doi.org/10.5281/zenodo.14868341

Model code and software

physical-biogeochemical ocean regional ocean model: ROMS –TOPAZ (NPRT V1.0) D. Kim et al. https://doi.org/10.5281/zenodo.11218350

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Short summary
Physical–biogeochemical ocean global models are required to analyze difficult oceanic environmental systems. To accurately understand the physical–biogeochemical processes at the regional scale, physical and biogeochemical models were coupled at a high resolution. The results successfully simulated the seasonal variations of chlorophyll and nutrients, particularly in the marginal seas, which were not captured by global models. The developed model is an important tool for studying physical–biogeochemical processes.
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