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Die Karte zeigt die Standorte von DachflächenFotovoltaikanlagen in NRW Im Download wird ebenfalls ein Datensatz für die gesamten Fotovoltaikanlagen (Dach- und Freifläache) angeboten.
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 data were collected during RV Polarstern cruise PS127 (2021-12-04 to 2022-01-02). 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, 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.
The ISND74 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)
Raw multibeam bathymetry data from the Kongsberg EM712 were acquired during the RV Heincke cruise HE642 in the German Bight in June 2024. The data was generally acquired during calm seas, although bad weather periods occurred mainly during the later stages of the cruise. Water depths range between 20 and 50 m. Primarily, two different regions were surveyed (Borkumer Reef Ground and Sylt Outer Reef). Generally, the data is comprehensive and overlapping swaths creating a continuous bathymetry were archived. In some areas, the data was acquired complementary to sidescan sonar surveys, where individual tracks do not overlap. Data are unprocessed and therefore may contain some incorrect depth measurements (artifacts) without further processing. No tide variations are applied. Sound velocity profiles were acquired regularly. Overall, it appears that the data quality is good but compromised by a slightly tilted centre swath sector. The gridded data shows relatively few artefacts.
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.
Die Karte zeigt die Summe der installierten elektrischen Leistung der Photovoltaikanlagen pro Hektar (kWₚ / ha) für die Landkreise in Bayern.
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.
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.
Raw multibeam bathymetry data from the Kongsberg EM712 was acquired during the RV Heincke cruise HE659 in the German Bight in April 2025. The data was generally acquired during calm seas in water depths between 20 and 50 m. Primarily three different regions were surveyed (Borkumer Reef Ground, Sylt Outer Reef, and Helgoland). Generally the data is comprehensive and overlapping swaths creating a continuous bathymetry were archived. In some areas the data was acquired complementary to sidescan sonar surveys and individual tracks do not overlap. Data are unprocessed and therefore may contain some incorrect depth measurements (artifacts) without further processing. No tide variations are applied. Sound velocity profiles were acquired regularly. Overall, it appears that the data quality is rather good. The gridded data showed relatively few obstacles.
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