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Multibeam bathymetry processed data (EM 1002 echosounder entire dataset) of RV MARIA S. MERIAN during cruise MSM51/1

Swath sonar bathymetry data used for that dataset was recorded during RV MARIA S. MERIAN cruise MSM51/1 using Kongsberg EM1002 multibeam echosounder. The cruise took place between 01.02.2016 and 27.02.2016 in the Baltic Sea. The cruise aimed to perform seismo- and hydroacoustic surveys, sampling of Holocene sediments and to investigate the water column wintertime mixing close to sea-ice limits. These surveys improved the understanding of variations in the ventilation of the deeper Baltic, considering not only external climate forcing but also the effects of postglacial sealevel rise and isostatic uplift [CSR]. CI Citation: Paul Wintersteller (seafloor-imaging@marum.de) as responsible party for bathymetry raw data ingest and approval. During the MSM51-1 cruise, the moonpooled KONGSBERG EM1002 multibeam echosounder (MBES) was utilized to perform bathymetric mapping in shallow depths. 111 beams are formed for each ping while the seafloor is detected using amplitude and phase information for each beam sounding. For further information on the system, consult https://www.km.kongsberg.com/. Postprocessing and products were conducted by the Seafloor-Imaging & Mapping group of MARUM/FB5, responsible person Paul Wintersteller (seafloor-imaging@marum.de). The open source software MB-System (Caress, D. W., and D. N. Chayes, MB-System: Mapping the Seafloor, https://www.mbari.org/products/research-software/mb-system, 2017) was utilized for this purpose. A sound velocity correction profile was applied to the MSM51-1 data; there were no further corrections for roll, pitch and heave applied during postprocessing. A tide correction was applied, based on the Oregon State University (OSU) tidal prediction software (OTPS) that is retrievable through MB-System. CTD measurements during the cruise were sufficient to represent the changes in the sound velocity throughout the study area. Using Mbeditviz, artefacts were cleaned manually. NetCDF (GMT) grids of the edited data as well as statistics were created with mbgrid. The published bathymetric EM1002 grid of the cruise MSM51-1 has a resolution of 15 m. No total propagated uncertainty (TPU) has been calculated to gather vertical or horizontal accuracy. A higher resolution is, at least partly, achievable. The grid extended with _num represents a raster dataset with the statistical number of beams/depths taken into account to create the depth of the cell. The extended _sd -grid contains the standard deviation for each cell. The DTMs projections are given in Geographic coordinate system Lat/Lon; Geodetic Datum: WGS84.

Wasser_Internet - Gewässerteileinzugsgebiete nach LAWA

Der Kartendienst (WMS Gruppe) stellt ausgewählte Wasserdaten des Saarlandes dar.:Teileinzugsgebiete mit LAWA-Gebietskennziffern; Betrachtungsobjekt im GDZ, exportiert in GDZ_GDB.gdb; MultiFeatureklasse setzt sich zusammen aus der flächenhaften Featureklasse und der entsprechenden Businesstabelle mit den Sachdaten , exportiert als einfache Featureklasse in Filegeodatabase; Folgende anwenderrelevante Attribute vorhanden: EGNR: LAWA_Nummer des Einzugsgebietes GWNAM : Gewässername GWNR: Gewässerkennziffer FLAECHE: Flächengröße

Bathing Water Directive - Status of bathing water

The EU Bathing Waters Directive requires Member States to identify popular bathing places in fresh and coastal waters and monitor them for indicators of microbiological pollution (and other substances) throughout the bathing season which runs from May to September

Isodrin im Meerwasser 2023

Im Rahmen des gemeinsames Bund/Länder-Messprogramm für die Nord- und Ostsee + weitere Überwachungsprogramme wurde der Parameter "Isodrin im Meerwasser" im Meerwasser bestimmt.

Dezernat 400 Wasseranalytik, Luftschadstoffe, spezielle organische Analytik

Das Dezernat 400 ist eine Organisationseinheit der Abteilung Gemeinschaftslabor für Umweltanalytik im LUNG. Hier werden chemische Untersuchungen von Wasserproben in Fließgewässer, Seen, Grundwasser und Abwasser auf bis zu 33 verschiedene Inhaltsstoffe folgender Kriteriengruppen: - Sauerstoffhaushalt und organisatorische Belastung - Pflanznährstoffe - Versalzung - Schwermetalle - Halogenorganika (Summe) vorgenommen.

Benz(e)pyren im Meerwasser 2023

Im Rahmen des gemeinsames Bund/Länder-Messprogramm für die Nord- und Ostsee + weitere Überwachungsprogramme wurde der Parameter "Benz(e)pyren im Meerwasser" im Meerwasser bestimmt.

Aldrin im Meerwasser 2023

Im Rahmen des gemeinsames Bund/Länder-Messprogramm für die Nord- und Ostsee + weitere Überwachungsprogramme wurde der Parameter "Aldrin im Meerwasser" im Meerwasser bestimmt.

Perylen im Meerwasser 2023

Im Rahmen des gemeinsames Bund/Länder-Messprogramm für die Nord- und Ostsee + weitere Überwachungsprogramme wurde der Parameter "Perylen im Meerwasser" im Meerwasser bestimmt.

Dieldrin im Meerwasser 2023

Im Rahmen des gemeinsames Bund/Länder-Messprogramm für die Nord- und Ostsee + weitere Überwachungsprogramme wurde der Parameter "Dieldrin im Meerwasser" im Meerwasser bestimmt.

(Table A1) Raw data for both AMT20 Atlantic Ocean transect samples and western Pacific Ocean transect (SO228 and SO256) samples

Sea surface salinity (SSS) is the least constrained major variable of the past (paleo) ocean but is fundamental in controlling the density of seawater and thus large-scale ocean circulation. The hydrogen isotopic composition (δD) of non-exchangeable hydrogen of algal lipids, specifically alkenones, has been proposed as a promising new proxy for paleo SSS. The δD of surface seawater is correlated with SSS, and laboratory culture studies have shown the δD of algal growth water to be reflected in the δD of alkenones. However, a large-scale field study testing the validity of this proxy is still lacking. Here we present the δD of open-ocean Atlantic and Pacific surface waters and coincident δD of alkenones sampled by underway filtration. Two transects of approximately 100° latitude in the Atlantic Ocean and more than 50° latitude in the Western Pacific sample much of the range of open ocean salinities and seawater δD, and thus allow probing the relationship between δD of seawater and alkenones. Overall, the open ocean δD alkenone data correlate significantly with SSS, and also agree remarkably well with δD water vs δD alkenone regressions developed from culture studies. Subtle deviations from these regressions are discussed in the context of physiological factors as recorded in the carbon isotopic composition of alkenones. In a best-case scenario, the data presented here suggest that SSS variations as low as 1.2 can be reconstructed from alkenone δD.

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