Quantification of Baltic sea water budget components using dynamic topography

Abstract. Accurate quantification of the Baltic Sea's dynamics and water budget components is essential for understanding both seasonal and long-term variations influenced by climate change. In this study, we utilize dynamic topography (DT), referenced to a geoid-based chart datum, to derive dynamic water volume and to improve estimates of the main water balance components, such as river runoff and water exchange through the Danish Straits. We utilize DT for the period from 2017 to mid-2021, which was corrected for vertical sea level biases and whose vertical datum thus coincides with the geoid. Our findings reveal seasonal dynamic volume variations, with a minimum in spring (78.9 ± 60 km3) and a maximum in autumn and winter (121 ± 57 and 124 ± 80 km3, respectively). Anomalies in DT highlight a specific region (northern Baltic Proper) as representing equilibrium mean DT for the entire Baltic Sea, while areas in the eastern and southern Baltic are prone to extremes. Barotropic exchange analysis shows that no major Baltic inflows occurred during the study period, with small to medium inflows averaging 1.6 km3 d−1 in autumn and winter, while outflows averaged 2.36 km3 d−1. River discharge, indirectly calculated from the water budget, peaked in summer (2.08 km3 d−1) and was lowest in autumn (1.26 km3 d−1), with hydrological models underestimating flows in these seasons. As a result, the method and results show great potential for quantification, validation, and a better understanding of the dynamics of the Baltic Sea, especially with a changing climate.

Authors

Institutions

Publication Details

Journal
Ocean science
Published
2025-05-14
DOI
https://doi.org/10.5194/os-21-913-2025
Citations
1
Primary Topic
Oceanographic and Atmospheric Processes
Type
article
Field-Weighted Citation Impact
1.79

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Quantification of Baltic sea water budget components using dynamic topography

Nicole Delpeche‐Ellmann, Vahidreza Jahanmard, Artu Ellmann
1 citations
Ocean science
Oceanographic and Atmospheric Processes
1.79
article

Quantification of Baltic sea water budget components using dynamic topography

Nicole Delpeche‐Ellmann, Vahidreza Jahanmard, Artu Ellmann
article en
1 citations

Abstract

Abstract. Accurate quantification of the Baltic Sea's dynamics and water budget components is essential for understanding both seasonal and long-term variations influenced by climate change. In this study, we utilize dynamic topography (DT), referenced to a geoid-based chart datum, to derive dynamic water volume and to improve estimates of the main water balance components, such as river runoff and water exchange through the Danish Straits. We utilize DT for the period from 2017 to mid-2021, which was corrected for vertical sea level biases and whose vertical datum thus coincides with the geoid. Our findings reveal seasonal dynamic volume variations, with a minimum in spring (78.9 ± 60 km3) and a maximum in autumn and winter (121 ± 57 and 124 ± 80 km3, respectively). Anomalies in DT highlight a specific region (northern Baltic Proper) as representing equilibrium mean DT for the entire Baltic Sea, while areas in the eastern and southern Baltic are prone to extremes. Barotropic exchange analysis shows that no major Baltic inflows occurred during the study period, with small to medium inflows averaging 1.6 km3 d−1 in autumn and winter, while outflows averaged 2.36 km3 d−1. River discharge, indirectly calculated from the water budget, peaked in summer (2.08 km3 d−1) and was lowest in autumn (1.26 km3 d−1), with hydrological models underestimating flows in these seasons. As a result, the method and results show great potential for quantification, validation, and a better understanding of the dynamics of the Baltic Sea, especially with a changing climate.

Ocean scienceVol. 21(3)
Tallinn University of Technology (EE)
Estonian Research Competency Council
Openalex Percentile: Top 18%
Oceanographic and Atmospheric Processes
1.79
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.