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Autori principali: Kelln, Jessica, Dangendorf, Sönke, Jensen, Jürgen, Patzke, Justus, Fröhle, Peter
Natura: Dataset Open Access
Lingua:en
Pubblicazione: PANGAEA 2019
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Accesso online:https://doi.org/10.1594/PANGAEA.904737
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author Kelln, Jessica
Dangendorf, Sönke
Jensen, Jürgen
Patzke, Justus
Fröhle, Peter
author_facet Kelln, Jessica
Dangendorf, Sönke
Jensen, Jürgen
Patzke, Justus
Fröhle, Peter
collection Datos científicos de ciencias marinas y ambientales
contents A novel high quality monthly mean sea level (MSL) dataset for 63 tide gauge stations at the german Baltic coastline until 2015. The dataset was generated in the AMSeL_Baltic Sea research project from 2015 to 2018. We generated a new monthly mean sea level datasets from high-resolution sea level measurements and combined these with historic datasets with applied new tidal correction if necessary and if possible with existing monthly MSL time series from the Federal Maritime and Hydrographic Agency of germany (BSH). We averaged the high resolution tide gauge data to monthly values if at least 50 % of data were available each month. Mixing historical measurements with poor or uneven temporal resolution and continuous high resolution observations from modern times can introduce biases in both interannual variability as well as long-term trends of MSL. For this reason we introduced a novel tidal correction for historic data with less than four readings per day.
format Dataset Open Access
id pangaea_https___doi_org_10_1594_PANGAEA_904737
institution PANGAEA
language en
publishDate 2019
publisher PANGAEA
record_format pangaea
spellingShingle Monthly sea level from tide gauge stations at the German Baltic coastline (AMSeL_Baltic Sea)
Kelln, Jessica
Dangendorf, Sönke
Jensen, Jürgen
Patzke, Justus
Fröhle, Peter
Ahrenshoop; Baltic Sea; Mean Sea Level; TG_Ahrenshoop; TGS; Tide gauge; Tide gauge station
A novel high quality monthly mean sea level (MSL) dataset for 63 tide gauge stations at the german Baltic coastline until 2015. The dataset was generated in the AMSeL_Baltic Sea research project from 2015 to 2018. We generated a new monthly mean sea level datasets from high-resolution sea level measurements and combined these with historic datasets with applied new tidal correction if necessary and if possible with existing monthly MSL time series from the Federal Maritime and Hydrographic Agency of germany (BSH). We averaged the high resolution tide gauge data to monthly values if at least 50 % of data were available each month. Mixing historical measurements with poor or uneven temporal resolution and continuous high resolution observations from modern times can introduce biases in both interannual variability as well as long-term trends of MSL. For this reason we introduced a novel tidal correction for historic data with less than four readings per day.
title Monthly sea level from tide gauge stations at the German Baltic coastline (AMSeL_Baltic Sea)
topic Ahrenshoop; Baltic Sea; Mean Sea Level; TG_Ahrenshoop; TGS; Tide gauge; Tide gauge station
url https://doi.org/10.1594/PANGAEA.904737