Speaker
Description
The ocean plays a key role in mitigating climate change, with N2O and CH4 acting as potent greenhouse gases within the ocean-atmosphere system. Robust, well-curated data are essential to reduce uncertainties and refine predictions of N2O and CH4 fluxes (Bange 2022), leading GOOS (Global Ocean Observing System) to designate N2O as an Essential Ocean Variable (EOV). Building on this, MEMENTO (MarinE MethanE and NiTrous Oxide database) compiles global spatio-temporal datasets of N2O and CH4 from the open ocean and coastal waters to advance our understanding of ocean-atmosphere gas exchange dynamics.
However, Lange et al. (2023) evaluated ocean biogeochemistry data synthesis products using a data readiness level concept and identified gaps in MEMENTO regarding data management and FAIR (Findable, Accessible, Interoperable, Reusable) compliance. To close these gaps, we use FROST (Fraunhofer IOSB), a data management platform implementing the OGC Sensor Things API (STA), and align our metadata as closely as possible with STAMPLATE (SensorThings API Metadata ProfiLes for eArTh and Environment), a Helmholtz initiative extending the STA core model with metadata on data quality, provenance, and sensor description to enable harmonized, interoperable time-series data (Lorenz, 2024). Specifically, we plan to improve MEMENTO through the enhanced transparency and verifiability of data harmonization and quality control, completion of metadata, increased automation, visualization masks for dataset availa-bility, and the integration of additional datasets.
As a result, we expect a substantially higher readiness level for MEMENTO 2.0 in terms of data management and information products, along with an improvement in FAIR compliance compared to the previous assessment, which, in turn, potentially enables refined N2O and CH4 flux estimates.
References
Bange HW (2022): https://doi.org/10.3389/fmars.2023.1078908.
Lorenz, C (2024): https://doi.org/10.5281/zenodo.13151659.