Journal of the Korean earth science society (한국지구과학회지)

The Korean Earth Science Society (한국지구과학회)
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Impact of Iron Scavenging and Desorption Parameters on Chlorophyll Simulation in the Tropical Pacific within NEMO-TOPAZ

  • Lee, Hyomee (Division of Science Education & Institute of Fusion Science, Jeonbuk National University) ;
  • Moon, Byung-Kwon (Division of Science Education & Institute of Fusion Science, Jeonbuk National University) ;
  • Park, Jong-Yeon (Division of Earth and Environmental Science, Jeonbuk National University) ;
  • Kim, Han-Kyoung (Division of Science Education & Institute of Fusion Science, Jeonbuk National University) ;
  • Jung, Hyun-Chae (Mirae Climate Co., Ltd.) ;
  • Wie, Jieun (Division of Science Education & Institute of Fusion Science, Jeonbuk National University) ;
  • Park, Hyo Jin (Jeonju Jungang Middle School) ;
  • Byun, Young-Hwa (Innovative Meteorological Research Department, National Institute of Meteorological Sciences) ;
  • Lim, Yoon-Jin (Numerical Modeling Center, Korea Meteorological Administration) ;
  • Lee, Johan (Operational Systems Development Department, National Institute of Meteorological Sciences)
  • Received : 2021.04.30
  • Accepted : 2021.08.17
  • Published : 2021.08.31
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Abstract

Ocean biogeochemistry plays a crucial role in sustaining the marine ecosystem and global carbon cycle. To investigate the oceanic biogeochemical responses to iron parameters in the tropical Pacific, we conducted sensitivity experiments using the Nucleus for European Modelling of the Ocean-Tracers of Ocean Phytoplankton with Allometric Zooplankton (NEMO-TOPAZ) model. Compared to observations, the NEMO-TOPAZ model overestimated the concentrations of chlorophyll and dissolved iron (DFe). The sensitivity tests showed that with increasing (+50%) iron scavenging rates, chlorophyll concentrations in the tropical Pacific were reduced by approximately 16%. The bias in DFe also decreased by approximately 7%; however, the sea surface temperature was not affected. As such, these results can facilitate the development of the model tuning strategy to improve ocean biogeochemical performance using the NEMO-TOPAZ model.

Keywords

Acknowledgement

This work was funded by the Korea Meteorological Administration Research and Development Program under Grant KMI (KMI2018-03513) and the National Research Foundation of Korea (NRF) grant funded by the Korea government (MSIT) (No. 2019R1A2C1008549). The main calculations were performed by using the supercomputing resource of the Korea Meteorological Administration (National Center for Meteorological Supercomputer). This work is part of the Ph.D. thesis of H. Lee.

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