Preprints
https://doi.org/10.5194/gmd-2022-160
https://doi.org/10.5194/gmd-2022-160
Submitted as: model experiment description paper
11 Jul 2022
Submitted as: model experiment description paper | 11 Jul 2022
Status: this preprint is currently under review for the journal GMD.

The Baltic Sea model inter-comparison project BMIP – a platform for model development, evaluation, and uncertainty assessment

Matthias Gröger1, Manja Placke2, Markus Meier1,3, Florian Börgel1, Sandra-Esther Brunnabend3, Cyril Dutheil1, Ulf Gräwe1, Magnus Hieronymus3, Thomas Neumann1, Hagen Radtke1, Semjon Schimanke3, Jian Su4, and Germo Väli5 Matthias Gröger et al.
  • 1Department of Physical Oceanography and Instrumentation, Leibniz Institute for Baltic Sea Research Warnemünde, Rostock, 18119, Germany
  • 2IT Department, Leibniz Institute for Baltic Sea Research Warnemünde, Rostock, 18119, Germany
  • 3Research and Development Department, Swedish Meteorological and Hydrological Institute, Norrköping, 60176, Sweden
  • 4Danish Meteorological Institute, Lyngbyvej 100, DK-2100 Copenhagen, Denmark
  • 5Department of Marine Systems, Tallinn University of Technology, Tallinn, Estonia

Abstract. While advanced computational capabilities have enabled the development of complex ocean general circulation models (OGCM) for marginal seas, systematic comparisons of regional ocean models and their setups are still rare. The Baltic Sea model inter-comparison project (BMIP), introduced herein, was therefore established as a platform for the scientific analysis and systematic comparison of Baltic Sea models. The inclusion of a physically consistent regional reanalysis data set for the period 1961–2018 allows standardized meteorological forcing and river runoff. Protocols to harmonize model outputs and analyses are provided as well.

An analysis of six simulations performed with four regional OGCMs differing in their resolution, grid coordinates, and numerical methods was carried out to explore inter-model differences despite harmonized forcing. Uncertainties in modeled surface temperatures were shown to be larger at extreme than at moderate temperatures. In addition, a roughly linear increase in the temperature spread with increasing water depth was determined and indicated larger uncertainties in the near-bottom layer. On the seasonal scale, the model spread was larger in summer than in winter, likely due to differences in the models’ thermocline dynamics. In winter, stronger air-sea heat fluxes and vigorous convective and wind mixing reduced the inter-model spread. Uncertainties were likewise reduced near the coasts, where the impact of meteorological forcing was stronger. The uncertainties were highest in the Bothnian Sea and Bothnian Bay, attributable to the differences between the models in the seasonal cycles of sea ice triggered by the ice-albedo feedback. However, despite the large spreads in the mean climatologies, high inter-annual correlations between the sea surface temperatures (SSTs) of all models and data derived from a satellite product were determined. The exceptions were the Bothnian Sea and Bothnian Bay, where the correlation dropped significantly, likely related to the effect of sea ice on air-sea heat exchange.

Marine heat waves (MHWs), coastal upwelling, and stratification were also assessed. In all models, MHWs were more frequent in shallow areas and in regions with seasonal ice cover. An increase in the frequency (regionally varying between ~50 and 250 %) and duration (50–150 %) of MHWs during the last three decades in all models was found as well. The uncertainties were highest in the Bothnian Bay, likely due to the different trends in sea-ice presence. All but one of the analyzed models overestimated upwelling frequencies along the Swedish coast, the Gulf of Finland, and around Gotland while they underestimated upwelling in the Gulf of Riga. The onset and seasonal cycle of thermal stratification likewise differed among the models. Compared to observation-based estimates, in all models the thermocline in early spring was too deep whereas a good match was obtained in June, when the thermocline intensifies.

Matthias Gröger et al.

Status: open (until 10 Sep 2022)

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse

Matthias Gröger et al.

Matthias Gröger et al.

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Short summary
Comparison of oceanographic climate data from different models often suffer from different model setups, forcing fields and output of variables. This paper provides a protocol to harmonize these setup, forcing data and model outputs to setup up multi-decadal simulations for the Baltic Sea, a marginal sea in Europe. First results are shown from 6 different model simulations from 4 different model platforms. Topical studies for upwelling, marine heatwaves and stratification are also assessed.