*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.