Work

D4.1 Science case for EuroGO-SHIP: Numerical modelling

Year: 2024

Type: article

Abstract: This study focussed on how expected improvements in data quality and coverage will enable a better assessment of trends in ocean nutrient changes, deoxygenation and acidification, following the implementation of a possible EuroGO-SHIP Research Infrastructure (RI) based on key marine health indicators as defined in the Marine Strategy Framework Directive. Effects of improved data quality as well as temporal coverage are quantified in terms of their impacts on the Trend Detection Time (TDT), a statistical metric that quantifies the number of years of data that are necessary to robustly detect a trend in a time series data set. The presentation provides an overview of the study.

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.17737977

Author: Beghoura, Houda

Institution: University of Bergen

Language: English

Topic: Marine and coastal ecosystems

Subfield: Oceanography

Field: Earth and Planetary Sciences

Domain: Physical Sciences

SDG: Life below water

Open Access status: green

Funder: European Commission