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GTS Bulletin: ISND84 AMDN - Observational data (Binary coded) - BUFR (details are described in the abstract)

The ISND84 TTAAii Data Designators decode as: T1 (I): Observational data (Binary coded) - BUFR T1T2 (IS): Surface/sea level T1T2A1 (ISN): Synoptic observations from fixed land stations at non-standard time (i.e. 01, 02, 04, 05, ... UTC) A2 (D): 90°E - 0° northern hemisphere (Remarks from Volume-C: NATIONAL AUTOMATIC SYNOP)

GTS Bulletin: SMVX22 EDZW - Surface data (details are described in the abstract)

The SMVX22 TTAAii Data Designators decode as: T1 (S): Surface data T1T2 (SM): Main synoptic hour (Remarks from Volume-C: SHIP)

GTS Bulletin: ISID08 EDZW - Observational data (Binary coded) - BUFR (details are described in the abstract)

The ISID08 TTAAii Data Designators decode as: T1 (I): Observational data (Binary coded) - BUFR T1T2 (IS): Surface/sea level T1T2A1 (ISI): Intermediate synoptic observations from fixed land stations A2 (D): 90°E - 0° northern hemisphere(The bulletin collects reports from stations: 10564;Schleiz;10565;Osterfeld;10569;Plauen;10574;Carlsfeld;10577;Chemnitz;10579;Marienberg;10582;Zinnwald-Georgenfeld;10591;Lichtenhain-Mittelndorf;10615;Deuselbach;10628;Geisenheim;10635;Kleiner Feldberg/Taunus;10646;Neuhütten/Spessart;10648;Michelstadt-Vielbrunn;10658;Kissingen, Bad;10671;Lautertal-Oberlauter;10686;Wunsiedel-Schönbrunn;10704;Berus;10706;Tholey;10724;Weinbiet;10733;Waibstadt;10736;Mühlacker;10739;Stuttgart (Schnarrenberg);10747;Kaisersbach-Cronhütte;) (Remarks from Volume-C: SYNOP)

Video observation during R/V Heincke cruise HE436 in the German Bight with link to raw data files

At 44 stations in the German Bitght underwater videos were recorded with Kongsberg Color Zoom Camera and GOPRO 3+ Black Edition to ground truth sidescan sonar backscatter data. The R/V Heincke was drifting while data acquisition.

Video observation during R/V Heincke cruise HE501 in the German Bight with link to raw data files

At 63 stations in the German Bitght underwater videos were recorded with Kongsberg Color Zoom Camera and GOPRO 3+ Black Edition to ground truth sidescan sonar backscatter data. The R/V Heincke was drifting while data acquisition.

GTS Bulletin: ISND37 AMDS - Observational data (Binary coded) - BUFR (details are described in the abstract)

The ISND37 TTAAii Data Designators decode as: T1 (I): Observational data (Binary coded) - BUFR T1T2 (IS): Surface/sea level T1T2A1 (ISN): Synoptic observations from fixed land stations at non-standard time (i.e. 01, 02, 04, 05, ... UTC) A2 (D): 90°E - 0° northern hemisphere (Remarks from Volume-C: NATIONAL AUTOMATIC SYNOP)

First-principles kinetic modeling for solar hydrogen production

The development of sustainable and efficient energy conversion processes at interfaces is at the center of the rapidly growing field of basic energy science. How successful this challenge can be addressed will ultimately depend on the acquired degree of molecular-level understanding. In this respect, the severe knowledge gap in electro- or photocatalytic conversions compared to corresponding thermal processes in heterogeneous catalysis is staggering. This discrepancy is most blatant in the present status of predictive-quality, viz. first-principles based modelling in the two fields, which largely owes to multifactorial methodological issues connected with the treatment of the electrochemical environment and the description of the surface redox chemistry driven by the photo-excited charges or external potentials.Successfully tackling these complexities will advance modelling methodology in (photo)electrocatalysis to a similar level as already established in heterogeneous catalysis, with an impact that likely even supersedes the one seen there in the last decade. A corresponding method development is the core objective of the present proposal, with particular emphasis on numerically efficient approaches that will ultimately allow to reach comprehensive microkinetic formulations. Synergistically combining the methodological expertise of the two participating groups we specifically aim to implement and advance implicit and mixed implicit/explicit solvation models, as well as QM/MM approaches to describe energy-related processes at solid-liquid interfaces. With the clear objective to develop general-purpose methodology we will illustrate their use with applications to hydrogen generation through water splitting. Disentangling the electro- resp. photocatalytic effect with respect to the corresponding dark reaction, this concerns both the hydrogen evolution reaction at metal electrodes like Pt and direct water splitting at oxide photocatalysts like TiO2. Through this we expect to arrive at a detailed mechanistic understanding that will culminate in the formulation of comprehensive microkinetic models of the light- or potential-driven redox process. Evaluating these models with kinetic Monte Carlo simulations will unambiguously identify the rate-determining and overpotential-creating steps and therewith provide the basis for a rational optimization of the overall process. As such our study will provide a key example of how systematic method development in computational approaches to basic energy sciences leads to breakthrough progress and serves both fundamental understanding and cutting-edge application.

Multibeam bathymetry processed data (EM 1002 echosounder entire dataset) of RV MARIA S. MERIAN during cruise MSM52

Swath sonar bathymetry data used for that dataset was recorded during RV MARIA S. MERIAN cruise MSM52 using Kongsberg EM1002 multibeam echosounder. The cruise took place between 01.03.2016 and 28.03.2016 in the Baltic Sea. The cruise aimed gapless imagining of the major pre-alpine tectonic lineaments due to the fact that the Glückstadt Graben and the Avalonia-Baltica suture zone run across the southern Baltic [DOI: 10.2312/cr_msm52]. CI Citation: Paul Wintersteller (seafloor-imaging@marum.de) as responsible party for bathymetry raw data ingest and approval. During the MSM52 cruise, the moonpooled KONGSBERG EM1002 multibeam echosounder (MBES) was utilized to perform bathymetric mapping in shallow depths. It has a curved transducer of which 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/. Generally, the system was acquiring data throughout the entire cruise. Responsible person during this cruise / PI: Laura Frahm. 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 MSM52 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 MSM52 has a resolution of 35 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.

Multibeam bathymetry processed data (Kongsberg EM2040 working area dataset) of RV ALKOR during cruise AL644, Baltic Sea

Swath sonar bathymetry data recorded during AL644 on RV ALKOR using the hull-mounted Kongsberg EM2040 multibeam echosounder. The cruise took place between 17.11.2025 - 28.11.2025 in the German Baltic Sea. The approximate depth range of the mapped areas is between 10-30m. To improve MBES data quality, sound velocity profile (SVP) casts were conducted in the vicinity of the mapped area prior to and after each survey using a CTD. The data set includes data from the 'Adlergrund' (ADG), located within the Pommeranian Bay/Rønne Bank Nature Conservation Area (NCA), from the 'Kadet Trench ('KDR') NCA and the Fehmarn Belt ('FB') NCA. The mapping has been conducted for baseline habitat studies in the area. Data were manually edited for false measurements using Qimera (https://qps.nl/qimera/#). A raster was calculated and stored in GeoTIFF format with a 0.5 m resolution (negative values), WGS84 as vertical datum and UTM as a projection. The mapping has been conducted for baseline habitat studies in the area.

Multibeam bathymetry raw data (Kongsberg EM2040 entire dataset) of RV ALKOR during cruise AL644

Swath sonar bathymetry data recorded during AL644 on RV ALKOR using the hull-mounted Kongsberg EM2040 multibeam echosounder. The cruise took place between 17.11.2025 - 28.11.2025 in the German Baltic Sea. The approximate depth range of the mapped areas is between 10-30m. To improve MBES data quality, sound velocity profile (SVP) casts were conducted in the vicinity of the mapped area prior to and after each survey using a CTD. The data set includes data from the 'Adlergrund' (ADG), located within the Pommeranian Bay/Rønne Bank Nature Conservation Area (NCA), from the 'Kadet Trench ('KDR') NCA and the Fehmarn Belt ('FB') NCA. The mapping has been conducted for baseline habitat studies in the area.

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