Preprints
https://doi.org/10.5194/egusphere-2023-3092
https://doi.org/10.5194/egusphere-2023-3092
17 Jan 2024
 | 17 Jan 2024
Status: this preprint is open for discussion.

The oxygen deficiency index blueprint allows an economic and quick scan via baseline assessment for forecasting the risk of seasonal oxygen deficiency in the North and Baltic Seas

Alexandra Marki, Xin Li, and Simon Jandt-Scheelke

Abstract. Oxygen deficiency zones (ODZs) in coastal seas can become hazardous to organisms and may have severe ecological and economic consequences for the environment, the fisheries, and the tourism industries. A tight interaction between ventilation and respiration governs marine oxygen levels. Regions with high primary production and a thin water column below the seasonal mixed layer are particularly prone to the formation of oxygen deficiency. In the study of Große et al. (2016) the critical parameters of the oxygen deficiency index (ODI) were identified as stratification and primary production during the formation of oxygen deficiency in the seasonally stratified regions of the North Sea. In order to approach realistic spatio-temporal distributions of ODZs, Große et al. (2016) formulated a depth index serving as a proxy for the thickness of the water column below the mixed layer depth (MLD). Here we propose the further developed ODI to represent two differing hydrographic regimes, the North and the Baltic Seas, by using a density-based criterion of the MLD and the vertical extension of the water column between the seafloor and the bottom layer of the MLD. Moreover, we define the stratification status of the water column using continuous stratification periods of 30 days as our reference period for higher risks of developing ODZs. Different to Große et al. (2016), net primary production is not cumulated over the entire growing season but only over this reference period. With these modifications, the revised ODI offers intuitive, short-term forecasts on the areas at risk of developing oxygen deficiency in high spatio-temporal resolution for the coastal zone of the North and Baltic Seas. This allows an operational forecasting of ODZs to inform responsible authorities and civil services in advance. We propose an economic solution to assess oxygen conditions of the past, the present and test for the risk to developing ODZs in the near future. We are able to run all necessary simulations and calculations for this research on a simple laptop. We mostly used free and open software products and Open Data products. Our data set up consists of: a) Free available netCDF output files of the operational HBM-ERGOM model and b) free available data from the MARNET monitoring network, both operated by the Federal Maritime and Hydrographic Agency (BSH).

Alexandra Marki, Xin Li, and Simon Jandt-Scheelke

Status: open (until 14 Mar 2024)

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
Alexandra Marki, Xin Li, and Simon Jandt-Scheelke

Data sets

operational HBM-ERGOM model data Operational Modelling department, BSH https://www.bsh.de/DE/THEMEN/Modelle/modelle_node.html

Oceanographic data from North West Shelf and from the Baltic Sea Federal Maritime and Hydrographic Agency- Dept. Oceanography https://www.bsh.de/EN/DATA/Climate-and-Sea/Marine_environment_monitoring_network/marine_environment_monitoring_network_node.html

Alexandra Marki, Xin Li, and Simon Jandt-Scheelke

Viewed

Total article views: 125 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
91 28 6 125 14 2 2
  • HTML: 91
  • PDF: 28
  • XML: 6
  • Total: 125
  • Supplement: 14
  • BibTeX: 2
  • EndNote: 2
Views and downloads (calculated since 17 Jan 2024)
Cumulative views and downloads (calculated since 17 Jan 2024)

Viewed (geographical distribution)

Total article views: 123 (including HTML, PDF, and XML) Thereof 123 with geography defined and 0 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 21 Feb 2024
Download
Short summary
Aim of the Oxygen Deficiency Index (ODI) blueprint is to inform about the water-quality in the North and Baltic Seas by using observations and model-simulations. The ODI helps us to calculate the probability if low-oxygen conditions might occur, with low ODI values indicating a low risk and vice-versa. We show that the ODI is able to forecast oxygen deficiency zones between 30 to 75 days. Important points in our study were the simplicity of application, deployment and an easy interpretation.