Application of an ice thermodynamic model to a shallow freshwater lagoon

In this study, we apply an ice thermodynamic model to a shallow freshwater lagoon in the south-eastern part of the Baltic Sea — the Curonian Lagoon. The model results were compared with the measurement data from three near‑shore stations during the period of 2004–2017. The simulation data showed the model to be capable of replicating ice thickness dynamics rather well (mean R = 0.92, RMSE = 6 cm). Although the model overestimated the number of ice days (NID) on average by one month (ranging from 3 to 40 days), the overall pattern was very similar to observations (R = 0.95). We further assessed the ice thickness and NID projections in the near (2021–2040) and far (2081–2100) future under two climate change scenarios (RCP4.5 and RCP8.5). The results showed that the mean (max) ice thickness could decrease by 10–49% (6–34%) in the near and 41–75% (22–55%) in the far future under RCP4.5, and by 2–52% (2–30%) in the near and 75–88% (50–71%) in the far future under RCP8.5 compared to the baseline period of 1986–2005. The NID will shorten by 9–19% (9–22%) in the near and 15–36% (46–57%) in the far future under RCP4.5 (RCP8.5) scenarios, compared with the baseline period.

Publication Details

Journal
Boreal Environment Research Journal Archive
Published
2024-12-12
DOI
https://doi.org/10.60910/ppjs-203r
Primary Topic
Arctic and Antarctic ice dynamics
Type
article
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article

Application of an ice thermodynamic model to a shallow freshwater lagoon

Boreal Environment Research Journal Archive
Arctic and Antarctic ice dynamics
article

Application of an ice thermodynamic model to a shallow freshwater lagoon

article en

Abstract

In this study, we apply an ice thermodynamic model to a shallow freshwater lagoon in the south-eastern part of the Baltic Sea — the Curonian Lagoon. The model results were compared with the measurement data from three near‑shore stations during the period of 2004–2017. The simulation data showed the model to be capable of replicating ice thickness dynamics rather well (mean R = 0.92, RMSE = 6 cm). Although the model overestimated the number of ice days (NID) on average by one month (ranging from 3 to 40 days), the overall pattern was very similar to observations (R = 0.95). We further assessed the ice thickness and NID projections in the near (2021–2040) and far (2081–2100) future under two climate change scenarios (RCP4.5 and RCP8.5). The results showed that the mean (max) ice thickness could decrease by 10–49% (6–34%) in the near and 41–75% (22–55%) in the far future under RCP4.5, and by 2–52% (2–30%) in the near and 75–88% (50–71%) in the far future under RCP8.5 compared to the baseline period of 1986–2005. The NID will shorten by 9–19% (9–22%) in the near and 15–36% (46–57%) in the far future under RCP4.5 (RCP8.5) scenarios, compared with the baseline period.

Boreal Environment Research Journal Archive
Life below water
Openalex Percentile: Top 64%
Arctic and Antarctic ice dynamics
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