Quantile trends in Baltic sea level

Quantile regression is applied for characterizing long‐term sea‐level variability in the Baltic Sea from long tide gauge records. The approach allows to quantify not only variability in the mean but also in extreme heights and thus provides a more complete description of regional sea‐level variability. In the Baltic, slopes in minima are similar to the classical mean‐based ordinary least squares slope, but maxima exhibit larger trends, particularly at the northernmost stations, in the Gulf of Bothnia, likely associated with changes in north Atlantic atmospheric circulation and particularly regional wind patterns.