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Carbon system parameters in the Baltic Sea from 2003 to 2023 using IOW monitoring data

The saturation status of calcium carbonate forms was calculated as part of the CDRmare RETAKE project effort to assess potentials and impacts for using alkalinity enhancement to enhance the capture of atmospheric carbon dioxide (CO2). Therefore, this data set is a compilation of carbonate system parameters measured during the monitoring cruises of the Leibniz Institute for Baltic Sea Research Warnemünde (IOW) in the Baltic Sea from 2003 to 2023. Ancillary data was retrieved using the IOW's ODIN2 data tool accordingly. The following permanent link allows one to search and extract the data using our settings: https://odin2.io-warnemuende.de/957-0489-676. We paired the carbonate and ancillary (nutrient and hydrogen sulfide, H2S, data) data by selecting the respective cruise, station, timestamp, and depth. Next, we calculated the calcite and aragonite saturation state and other carbonate system parameters using the measured parameters always when two carbonate-system parameters were available. For these calculations, we used CO2SYS v.3.1.2 script for MATLAB (Sharp et al., 2023; van Heuven et al., 2011; Lewis and Wallace, 1998) with the following dissociation constants settings: K1 and K2 of Waters, Millero, & Woosley (2014), KSO4 of Dickson (1990), KF of Perez & Fraga (1987), and TB of Uppström (1979). Propagated uncertainty was calculated using the errors script for MATLAB CO2SYS of Orr et al. (2018) and applying the respective errors: total alkalinity (AT) = 4 µmol/kg, total inorganic dissolved carbon (CT) = 2 µmol/kg, pH = 0.005 (Total), phosphate (PO4) = 3.8%, silicate (SiO4) = 4.6%, and ammonium (NH4) = 9.2%. All carbonate system parameters are presented under 25°C and 0 atm conditions.

Stündliche Stationsmessungen der Feuchteparameter für Deutschland

Diese Daten stammen von den Stationen des DWD und rechtlich sowie qualitativ gleichgestellten Partnernetzen. Umfangreiche Stationsmetadaten (Stationsverlegungen, Instrumentenwechsel, Wechsel der Bezugszeit, Änderungen in den Algorithmen) werden beim Download mitgeliefert. Der Datensatz ist aufgeteilt in einen versionierten Teil mit abgeschlossener Qualitätsprüfung, im Verzeichnis ./historical/. Und einen sich kontinuierlich aktualisierenden Teil, für den die Qualitätsprüfung noch nicht abgeschlossen ist, im Verzeichnis ./recent/.

Kalkstein - eine essenzielle Ressource für Zement treibt einen neuen Polyamid Zyklus an

Entwicklung eines Recyclingverfahrens fuer Guss-Polyamide

Maßgeschneiderte Inhaltsstoffe 2.2: LipoBiocat 2.2 : Robuste und selektive lipolytische Biokatalysatoren für industrielle Anwendungen, Teilprojekt A

Biologisch abbaubare Kunststoffe

Viele Mikroorganismen sind bekannt fuer ihre metabolischen Faehigkeiten, intrazellulaere Reserve- oder Speicherstoffe wie zum Beispiel Polyhydroxyalkanoate (PHA) zu bilden. Diese Materialien koennen aus den Zellen extrahiert und mit Techniken der Kunststoffindustrie zu Gebrauchsartikeln verarbeitet werden. Das herausragende Merkmal dieses Materials ist zum einen seine biologische Abbaubarkeit, die fuer einen Einsatz in einem Bereich genutzt werden kann, wo die Abbaubarkeit einen selektiven Vorteil gegenueber konventionellen Kunststoffen darstellt. Zum anderen basiert die Produktion auf nachwachsenden Rohstoffen und leistet somit einen Beitrag zur Nachhaltigkeit.

Modeled environmental data-layers and changes predicted under RCP2.6, 4.5 and 8.5 for the deep Atlantic Ocean

The data layers provided show current values for seawater temperature, pH, calcite and aragonite saturation (%), oxygen concentration, and particulate organic carbon (POC) flux to the seafloor at different depths (500, 1000, 2000, 3000, and 4000m) at the present day (1951-2000) and changes in these variables expected between 2041-2060 and 2081-2100 under different RCP scenarios. The data layers were generated following the methods described in Levin et al. (2020). In short, in 2019, we obtained the present day and future ocean projections for the different years which were compiled from all available data generated by Earth Systems Models as part of the Coupled Model Inter-comparison Project Phase 5 (CMIP5) to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change. Three Earth System Models, including GFDL‐ESM‐2G, IPSL‐CM5A‐MR, and MPI‐ESM‐MR were collected and multi-model averages of temperature, pH, O2 , export production at 100-m depth (epc100), carbonate ion concentration (co3), and carbonate ion concentration for seawater in equilibrium with aragonite (co3satarg) and calcite (co3satcalc) were calculated. The epc100 was converted to export POC flux at the seafloor using the Martin curve (Martin et al., 1987) following the equation: POC flux = export production*(depth/export depth)0.858. The export depth was set to 100 m, and the water depth using the ETOPO1 Global Relief Model (Amante and Eakins, 2008). Seafloor aragonite and calcite saturation were computed by dividing co3 by co3satarg and co3satcalc. All variableswere reported as the inter-annual mean projections between 1951-2000, 2041-2060, and 2081-2100. The data for calcite and aragonite saturation can be found in Morato et al. (2020).

Stündliche Stationsmessungen des Luftdrucks für Deutschland

Diese Daten stammen von den Stationen des DWD und rechtlich sowie qualitativ gleichgestellten Partnernetzen. Umfangreiche Stationsmetadaten (Stationsverlegungen, Instrumentenwechsel, Wechsel der Bezugszeit, Änderungen in den Algorithmen) werden beim Download mitgeliefert. Der Datensatz ist aufgeteilt in einen versionierten Teil mit abgeschlossener Qualitätsprüfung, im Verzeichnis ./historical/. Und einen sich kontinuierlich aktualisierenden Teil, für den die Qualitätsprüfung noch nicht abgeschlossen ist, im Verzeichnis ./recent/. In dem Ordner ./timeseries_overview/ stehen Angaben zu langen Zeitreihen zur Verfügung.

10-minütige Stationsmessungen des Luftdruckes auf Stationshöhe in hPa für Deutschland

Diese Daten stammen von den Stationen des DWD und qualitativ sowie rechtlich gleichgestellten Partnernetzen. Umfangreiche Stationsmetadaten (Stationsverlegungen, Instrumentenwechsel, Wechsel der Bezugszeit, Änderungen in den Algorithmen) werden beim Download über das CDC-Portal mitgeliefert. Die Messungen sind einem Zeitstempel in UTC zugeordnet, welcher das Ende des 10-min Intervalls markiert. Die Werte sind Mittelwerte über die Minute, welche zum Zeitstempel endet.

Microscale profiles of oxygen, pH and temperature through the sea surface microlayer in a mesocosm experiment during an algal bloom

The sea surface microlayer (SML) is the boundary layer on top of all oceans and is crucial for all exchange processes between the ocean and atmosphere. This less than 1 mm thick layer is heavily influenced by biological processes and events like algal blooms. To quantify the influence of an algal bloom in a controlled environment, we conducted a mesocosm study at the Sea sURface Facility (SURF) of the Institute for Chemistry and Biology of the Marine Environment (ICBM) in Wilhelmshaven, Germany (53.5148 °N, 8.1463°E). SURF is an 8.5 m long, 2 m wide and 1 m deep water basin, which can directly be filled with seawater from the Jade Bay, North Sea. The facility is equipped with a retractable roof, pumps for water circulation and dedicated mounts for multiple sensor systems. The mesocosm experiment was conducted from 18 May to 16 June 2023 as part of the project BASS (Biogeochemical processes and Air-sea exchange in the Sea-Surface microlayer). SURF was filled with seawater a few days before the start of the experiment (water depth 0.7 m). The water was then filtered and the surface skimmed to remove initial pollution. To prevent particle and microbial sedimentation during the experiment, the pumps operated at low speed to maintain gentle mixing of the water column. The roof of SURF was closed during the night, while it was open during the day except when it rained. To induce an algal bloom, a mix of nutrients (nitrogen, phosphorus and silicate) was added on 26 May, 30 May and 01 June. Based on the chlorophyll measurements which show the development of the bloom, three phases of the experiment were determined: the pre-bloom phase (18 May to 26 May), the bloom phase (27 May to 04 June) and the post-bloom phase (05 June to 16 June). Several physical, chemical and biological parameters were measured, which will be published in other datasets. To evaluate the impact of the algal bloom within the SML, oxygen concentration, pH, and temperature were measured in situ using microsensors (UNISENSE, Denmark) mounted on a MicroProfiling System (UNISENSE, Denmark). With this setup, direct in situ measurements inside both the thermal boundary layer and diffusion boundary layer at the sea surface can be made. One oxygen microsensor, two pH microsensors and three temperature microsensors were mounted on the microprofiler with their tips pointing upward to avoid disturbance in the SML. They were positioned a few centimeters apart. The microprofiler was used to automatically move the sensors down, from the air through the SML and into the underlying water over a total distance of 10 000 µm in steps of 125 µm (250 µm at the start of the experiment). At each depth, the sensors stayed for about 10 s, giving a mean value and a standard deviation over that time. Three of these measurements were taken at every depth before the sensor moved down to the next step. After completing a profile, the microprofiler returned to its initial position with the tips in the air to start the next profile. The resulting profiles mostly took between 40 to 50 minutes. These profiles were conducted continuously during day and night, except for small breaks to clean and if needed replace or readjust the sensors and recalibrate the pH sensors. The sensors' height required manual adjustment to position the tip precisely at the water surface (0 µm). Through this manual adjustment, small inaccuracies may occur. As a result, the sensor depth readings form the microprofiler system may not reflect the true sensor position, which can also vary between the sensors. The true sensor positions can later be obtained by analysing the measured profiles.

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