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Multibeam bathymetry processed data (Atlas Hydrosweep DS 2 echo sounder entire dataset) of RV POLARSTERN during cruise ANT-XXIII/8 (PS69), Southern Ocean

Multibeam data were collected during RV Polarstern cruise ANT-XXIII/8 (2006-11-23 to 2007-01-30). Multibeam sonar system was Atlas Hydrographic Hydrosweep DS 2 multibeam echo sounder. Data are processed with Caris HIPS, including sound velocity correction with SV data from CTDs and World Ocean Atlas 18 (https://www.ncei.noaa.gov/archive/accession/NCEI-WOA18), tidal correction with TPXO9_atlas_v5 (https://www.tpxo.net), and manual cleaning. The soundings are combined in daily files, the format is XYZ ASCII (<Lon> <Lat> <Depth in meters, positive up, relative to mean sea level>). Additional grids have been computed with depth dependent cell size to visualize the data. These grids are not meant for scientific analysis or navigation, but for overview purposes only.

Multibeam bathymetry processed data (Atlas Hydrosweep DS 3 echo sounder entire dataset) of RV POLARSTERN during cruise PS116, Atlantic Ocean

Multibeam data were collected during RV Polarstern cruise PS116 (2018-11-11 to 2018-12-11). Multibeam sonar system was Atlas Hydrographic Hydrosweep DS 3 multibeam echo sounder. Data are processed with Caris HIPS, including sound velocity correction with SV data from SVPs, UCTDs and World Ocean Atlas 13 (https://doi.org/10.7289/v5f769gt), tidal correction with TPXO9_atlas_v5 (https://www.tpxo.net), and manual cleaning. The soundings are combined in daily files, the format is XYZ ASCII (<Lon> <Lat> <Depth in meters, positive up, relative to mean sea level>). Additional blockmedian grids have been computed with depth dependent cell size to visualize the data. These grids are not meant for scientific analysis or navigation, but for overview purposes only.

Multibeam bathymetry processed data (Atlas Hydrosweep DS 3 echo sounder entire dataset) of RV POLARSTERN during cruise PS98, Atlantic Ocean

Multibeam data were collected during RV Polarstern cruise PS98 (2016-04-10 to 2016-05-11). Multibeam sonar system was Atlas Hydrographic Hydrosweep DS 3 multibeam echo sounder. Data are processed with Caris HIPS, including sound velocity correction with SV data from World Ocean Atlas 13 (https://doi.org/10.7289/v5f769gt), tidal correction with TPXO9_atlas_v5 (https://www.tpxo.net), and manual cleaning. The soundings are combined in daily files, the format is XYZ ASCII (<Lon> <Lat> <Depth in meters, positive up, relative to mean sea level>). Additional blockmedian grids have been computed with depth dependent cell size to visualize the data. These grids are not meant for scientific analysis or navigation, but for overview purposes only.

Multibeam bathymetry processed data (Atlas Hydrosweep DS 2 echo sounder entire dataset) of RV POLARSTERN during cruise ANT-XIX/1 (PS61), Atlantic Ocean

Multibeam data were collected during RV Polarstern cruise ANT-XIX/1 (2001-11-08 to 2001-11-30). Multibeam sonar system was Atlas Hydrographic Hydrosweep DS 2 multibeam echo sounder. Data are processed with Caris HIPS, including sound velocity correction by cross fan calibration, tidal correction with TPXO9_atlas_v5 (https://www.tpxo.net), and manual cleaning. The soundings are combined in daily files, the format is XYZ ASCII (<Lon> <Lat> <Depth in meters, positive up, relative to mean sea level>). Additional grids have been computed with depth dependent cell size to visualize the data. These grids are not meant for scientific analysis or navigation, but for overview purposes only.

Multibeam bathymetry processed data (Atlas Hydrosweep DS 3 echo sounder entire dataset) of RV POLARSTERN during cruise PS145/1, Atlantic Ocean

Multibeam data were collected during RV Polarstern cruise PS145/1 (2024-11-25 to 2024-12-07). Multibeam sonar system was Atlas Hydrographic Hydrosweep DS 3 multibeam echo sounder. Data are processed with Caris HIPS, including sound velocity correction with SV data from SVPs, CTDs and World Ocean Atlas 18 (https://www.ncei.noaa.gov/archive/accession/NCEI-WOA18), tidal correction with TPXO9_atlas_v5 (https://www.tpxo.net), and manual cleaning. The soundings are combined in daily files, the format is XYZ ASCII (<Lon> <Lat> <Depth in meters, positive up, relative to mean sea level>). Additional grids have been computed with depth dependent cell size to visualize the data. These grids are not meant for scientific analysis or navigation, but for overview purposes only.

GTS Bulletin: ISND40 UMRR - Observational data (Binary coded) - BUFR (details are described in the abstract)

The ISND40 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. 0100, 0200, 0400, 0500, ... UTC) A2 (D): 90°E - 0° northern hemisphere (Remarks from Volume-C: NilReason)

GTS Bulletin: SNLV11 UMRR - Surface data (details are described in the abstract)

The SNLV11 TTAAii Data Designators decode as: T1 (S): Surface data T1T2 (SN): Non-standard synoptic hour A1A2 (LV): Latvia (Remarks from Volume-C: NilReason)

GTS Bulletin: SNLV41 UMRR - Surface data (details are described in the abstract)

The SNLV41 TTAAii Data Designators decode as: T1 (S): Surface data T1T2 (SN): Non-standard synoptic hour A1A2 (LV): Latvia (Remarks from Volume-C: NilReason)

Fernerkundung der bodennahen Atmosphaere und der Erdoberflaeche

Mit Methoden der Fernerkundung sollen physikalische Parameter erfasst werden, die in umweltrelevante Untersuchungen der bodennahen Atmosphaere und der Erdoberflaeche Eingang finden. Fuer flaechendeckende Untersuchungen sind Analysen von Satellitenszenen (z.B. von METEOSAT und NOAA) vorgesehen, wobei die Bestimmung von Oberflaechentemperaturen im Vordergrund steht. Mit Hilfe der dazu notwendigen Strahlungstransportmodelle soll ebenfalls versucht werden, Stoffkonzentrationen in der Atmosphaere zu erfassen. Bei den erdgebundenen Methoden liefert das DOAS (Differential Optical Absorption Spectroscopy) Stoffkonzentrationen in der Atmosphaere, die ueber eine Weglaenge von einigen Kilometern integriert sind. Fuer die Bestimmung der fuer den Schadstofftransport wichtigen Windgeschwindigkeiten werden sowohl akustische (Sound Detection and Ranging, SODAR) als auch optische Methoden (Szintillationsanemometrie) eingesetzt.

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.

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