The improvements to the regional South China Sea Operational Oceanography Forecasting System (SCSOFSv1)

South China Sea Operational Oceanography Forecasting System (SCSOFS) had been constructed and operated in National Marine Environmental Forecasting Center of China to provide daily updated hydrodynamic forecasting in SCS for the future 5 days since 2013. This paper presents recent comprehensive updates of the configurations of the physical model and data assimilation scheme in order to improve SCSOFS forecasting skills. It highlights three of the most sensitive updates, including sea surface atmospheric forcing method, tracers advection discrete scheme, and modification of data assimilation scheme. Inter-comparison and accuracy assessment among five versions during the whole upgrading processes are performed by employing OceanPredict Inter-comparison and Validation Task Team Class4 metrics. The results indicate that remarkable improvements have been achieved in SCSOFSv2 with respect to the original version known as SCSOFSv1. Domain averaged monthly mean root mean square errors decrease from 1.21 °C to 0.52 °C for sea surface temperature, from 21.6 cm to 8.5 cm for sea level anomaly, respectively.

Verification and communication of the scientific quality of operational oceanography products of the Copernicus Marine Service

<p>The <strong>Copernicus Marine Environment Monitoring Service (CMEMS)</strong> is delivering ocean satellite observations, in situ observations, together with ocean model reanalyzes, analyzes and forecasts from a unique web portal (Le Traon et al, 2019, https://doi.org/10.3389/fmars.2019.00234). Each one of these products is evaluated before its entry into service, and its quality is documented in a Quality Information Document (QUID). This information is complemented by regular quality metrics updates on the CMEMS website. Due to a relatively sparse observation network, in particular in subsurface, it is still a challenge to propose meaningful uncertainty estimates and forecast skills to the operational oceanography user’s community. In order to improve, and better target the scientific quality information provided to the various types of CMEMS users, several developments are ongoing which will be described in this presentation.</p>

The improvements to the regional South China Sea Operational Oceanography Forecasting System

South China Sea Operational Oceanography Forecasting System (SCSOFS) had been built up and operated in National Marine Environmental Forecasting Center of China to provide daily updated hydrodynamic forecasting in SCS for the future 5 days since 2013. This paper presents comprehensive updates had been conducted to the configurations of the physical model and data assimilation scheme in order to improve SCSOFS forecasting skills in recent years. It highlights three of the most sensitive updates, sea surface atmospheric forcing method, tracers advection discrete scheme, and modification of data assimilation scheme. Scientific inter-comparison and accuracy assessment among five versions during the whole upgrading processes are performed by employing Global Ocean Data Assimilation Experiment OceanView Inter-comparison and Validation Task Team Class4 metrics. The results indicate that remarkable improvements have been achieved in SCSOFSv2 with respect to the original version SCSOFSv1. Domain averaged monthly mean root mean square errors decrease from 1.21 °C to 0.52 °C for sea surface temperature, from 21.6 cm to 8.5 cm for sea level anomaly, respectively.

Peran Eddy dalam Distribusi Klorofil a di Selat Madura

<strong>Distribution of chlorophyll-a associated with Eddy circulation in the Strait of Madura.</strong>TheMadura Strait is an important area for fisheries due to nutrient rich water that may have triggering primary productivity of the strait and its surrounding. Information about seawater fertility of this area, particularly chlorophyll-a (Chl-a) as the indicator, are strongly needed. However, there are only few information about Chl-aconcentrations and seawater physical properties that may affect it forthe Madura Strait. The research on theChl-a content in the Madura Strait and its relation to the Eddy has been conducted in order to fill the gap of information about the Madura Strait fertility by using remote sensing and operational oceanography modelling. The deep basin under the Madura Strait creates Eddy within the water body of the Madura Strait, and this Eddy appears to affects the Chl-a distribution. In addition, the filaments seems to carry high-nutrient water from the coastto the offshore, leading to the enhancement of Chl-a content offshore of Madura Strait. Results of this study demonstrate the role of Eddy in distributing Chl-a in the Madura Strait.