Japan Geoscience Union Meeting 2025

Presentation information

[E] Oral

A (Atmospheric and Hydrospheric Sciences ) » A-CG Complex & General

[A-CG40] Earth System Observation Impacts on Climate and Ocean Predictions

Tue. May 27, 2025 9:00 AM - 10:30 AM Exhibition Hall Special Setting (6) (Exhibition Hall 7&8, Makuhari Messe)

convener:Yosuke Fujii(Meteorological Research Institute, Japan Meteorological Agency), Shoichiro Kido(Application Laboratory, Japan Agency for Marine-Earth Science and Technology), Yu-heng Tseng(Institute of Oceanography, National Taiwan University), Jiping Xie(Nansen Environmental and Remote Sensing Center, Norway), Chairperson:Shoichiro Kido(Application Laboratory, Japan Agency for Marine-Earth Science and Technology), Jiping Xie(Nansen Environmental and Remote Sensing Center, Norway)


9:50 AM - 10:10 AM

[ACG40-04] Use cases of in-situ and satellite BGC data in CMEMS Arctic Ocean Biogeochemical forecast and reanalysis products.

★Invited Papers

*Tsuyoshi Wakamatsu1, Veli Caglar Yumruktepe1 (1.Nansen Environmental and Remote Sensing Center, and Bjerknes Centre for Climate Research )

Keywords:Arctic Ocean, Copernicus Marine Environment Monitoring Service , Biogeochemistry

The effective utilization of observational data is fundamental to the development of operational biogeochemical (BGC) products in the Arctic Ocean, where data availability is often limited. Given the region's accelerated environmental changes and ongoing warming trend, high-quality BGC forecast and reanalysis datasets are essential for advancing scientific understanding of ecosystem variability and supporting marine management. This study highlights the integration of BGC Argo float observations and satellite ocean color data in the Copernicus Marine Environment Monitoring Service (CMEMS) Arctic BGC forecast and reanalysis systems. In the CMEMS BGC forecasting framework, an empirical function, calibrated against BGC Argo chlorophyll-a profiles, is used to project satellite-derived chlorophyll-a concentrations onto the upper ocean, improving initialization. In the CMEMS BGC reanalysis system, BGC Argo chlorophyll-a profiles and satellite chlorophyll-a data are jointly assimilated into an ocean model through a multivariate ensemble covariance approach, enhancing model fidelity. These methodological advancements underscore the critical role of multiplatform BGC observations in addressing observational constraints and improving the predictive skill of Arctic Ocean operational BGC products.