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Master track from POLAR 6 flight P6-257_IceBird_Winter_2025_2503290801 in 1 sec resolution (zipped, 861 KB)
No full textRaw data acquired by GPS1 position sensors on board research aircraft Polar 6 during the campaign P6-257_IceBird_Winter_2025 were processed to receive a validated master track which can be used as reference of further expedition data. Novatel FlexPak6 GPS receiver was used as navigation sensors during the campaign. Data were downloaded from AWI Datamanagement System (https://dms.awi.de) with a resolution of 1 sec. Processed data are provided as a master track with 1 sec resolution and a generalized track with a reduced set of the most significant positions of the master track. A detailed report on processing is also available for each flight
Master track from POLAR 6 flight P6-257_IceBird_Winter_2025_2504061502 in 1 sec resolution (zipped, 560 KB)
No full textRaw data acquired by GPS1 position sensors on board research aircraft Polar 6 during the campaign P6-257_IceBird_Winter_2025 were processed to receive a validated master track which can be used as reference of further expedition data. Novatel FlexPak6 GPS receiver was used as navigation sensors during the campaign. Data were downloaded from AWI Datamanagement System (https://dms.awi.de) with a resolution of 1 sec. Processed data are provided as a master track with 1 sec resolution and a generalized track with a reduced set of the most significant positions of the master track. A detailed report on processing is also available for each flight
Shipboard ADCP current measurements (75 kHz) during RV MARIA S. MERIAN cruise MSM136
No full textCurrent velocities of the upper water column along the cruise track of R/V Maria S. Merian cruise MSM136 were collected by a vessel-mounted 75 kHz RDI Ocean Surveyor ADCP. The ADCP transducer was located at 6.0 m below the water line. The instrument was operated in narrowband mode (WM10) with a bin size of 8.00 m, a blanking distance of 8.00 m, and a total of 100 bins, covering the depth range between 22.0 m and 814.0 m. Attitude data from the ship's motion reference unit were used by the data acquisition software VmDAS internally to convert ADCP beam velocities to geographic coordinates. The Python toolbox OSADCP (version 2.1.1) was used for data post-processing. Acoustic Interferences were identified based on outliers in the ADCP echo intensity data. Echo intensity data were cleaned accordingly and affected velocity cells were flagged to be removed prior ensemble-averaging. The ship's velocity was calculated from position fixes obtained by the Global Navigation Satellite System (GNSS), taking into account lever arms of ADCP transducer and GNSS antenna. Accuracy of the derived water velocities mainly depends on the quality of the position fixes and the ship's heading data. Further errors stem from a misalignment of the transducer with the ship's centerline. Data processing included water track calibration of the misalignment angle (-47.2897° +/- 0.9202°) and scale factor (0.9978 +/- 0.0138) of the measured velocities. The velocity data were averaged in time using an average interval of 60 s. Depth cells with ensemble-averaged percent-good values below 25% are marked as 'bad data'. Furthermore, the time series of cell 1 is flagged as 'potentially correctable bad data' because of velocities biases most likely caused by transducer ringing
Sea-Level Rise Visualizations Using Data from the NOAA Interagency Reports
No full textThis Geographic Information System (GIS) dataset is part of a comprehensive effort designed to facilitate analysis and understanding of sea-level-rise exposure in the United States and outlying territories. The dataset is derived from sea-level-rise projections published in two National Oceanic and Atmospheric Administration (NOAA) technical reports: 1) Global and Regional Sea Level Rise Scenarios for the United States (2017) and 2) Global and Regional Sea Level Rise Scenarios for the United States: Updated Mean projections and Extreme Water Level Probabilities Along U.S. Coastlines (2022).
Each of the NOAA technical reports includes multiple sets of point projections based on mean global sea-level-rise scenarios. Global mean sea-level-rise scenarios provide an overall estimate of how sea level could change in the future. However, local effects can produce sea level changes that are substantially different than the global average. To capture those effects, the sea-level-rise projections produced for these reports utilized a 1-degree grid (approximately 111 km by 89 km at 38° north latitude) covering the coastlines of the U.S. mainland, Alaska, Hawaii, and the Caribbean and Pacific Island territories as well as the precise location of tide gauges along these coastlines. Adjustments to sea level projections at each point location include 1) shifts in oceanographic factors such as circulation patterns, 2) changes in the Earth's gravitational field and rotation, and flexure of the crust and upper mantle, due to melting of land-based ice, 3) vertical land movement (subsidence or uplift) due to glacial isostatic adjustment (ongoing changes in elevation due to the retreat of ice sheets at the end of the last Ice Age), sediment compaction, groundwater and fossil fuel withdrawals and other non-climatic factors.
The 2017 report included six scenarios: 0.3, 0.5, 1.0, 1.5, 2.0 and 2.5 meters of global mean sea-level rise in the year 2100; the 2022 report reassessed the projections for the first five scenarios and eliminated the extreme (2.5-m) scenario from consideration based on its very low probability of occurrence. The projections in these reports are provided at approximately decadal time scales and include a year 2000 baseline and the following time horizons: 2010 (2017 dataset only), 2020, 2030, 2040, 2050, 2060, 2070, 2080, 2090, 2100, 2110 (2022 dataset only), 2120, 2130 (2022 dataset only), 2140 (2022 dataset only), 2150, and 2200 (2017 dataset only). GIS visualizations for each of these 149 combinations is available as polygons that show areal extent of mean sea level and rasters that include a water depth component for each pixel at 30-m resolution. Data files are grouped by dataset (2017 or 2022) and geography, with the continental United States divided along regional boundaries used by the US Environmental Protection Agency.
These datasets are intended to provide users with GIS data layers linked to time horizons that are useful to programmatic or project-based planning processes, thus providing critical insight for policymakers, researchers, planners, and others concerned with climate adaptation practices addressing sea-level rise in coastal areas
Hydrographical time series data of the littoral zone of Kongsfjorden, Svalbard 2024
No full textThe dataset contains temperature, salinity, oxygen saturation, chlorophyll a and turbidity data from the AWIPEV underwater observatory from the year 2024 in a temporal resolution of 1 hour. The cabled observatory is located in 12m water depth and comprises single or multiple sensors for a specific parameter (see https://www.awi.de/en/science/biosciences/shelf-sea-system-ecology/main-research-focus/cosyna/underwater-node-spitsbergen.html). For a detailed description of the data see associated metadatafile metadata_svulobs_2024_hydrography.pd
X-ray fluorescence (XRF) measurements of a Holocene sediment core from Limni Volvi, Greece
No full textIn 2020 and 2021, we retrieved six parallel sediment cores from Limni Volvi, northern Greece (coring location: 40°39′51.40″N, 23°32′30.70″E), at a water depth of 19.3 m using a UWITEC piston corer (6 cm diameter). Here, we present X-ray fluorescence (XRF), hyperspectral imaging (HSI) and magnetic susceptibility (MS) measurements made on the 19.65 m long composite core. The investigated time interval covers the entire Holocene. The core sequence was analysed to reconstruct the environmental history and palaeoclimatic changes in the area during the Holocene.
MS was measured at the Institute of Plant Sciences of the University of Bern at a 5-mm resolution, using a Bartington MS2E sensor.
Elemental analysis of the sediment half-cores was performed at the Swiss Federal Institute of Aquatic Science and Technology (Eawag) with an AVAATECH XRF core-scanner (AVAATECH XRF Technology, Dodewaard, The Netherlands) with a resolution of 5 mm. Low-energy elements from Al to Fe were measured at 10 kV with 1500 A and no filter, and exposed for 15s. Mid-energy elements Cu to Mo were acquired using 30 kV setting, 2000 A, with Pd thin filter at 40 s count time. The X-ray was sourced using Oxford 100 Watt with a rhodium anode. The scanner had a Canberra X − PIPS/DSA 1000 (MCA) detector.
HSI scans were performed at the Institute of Geography of the University of Bern using a Specim PFD-xx-V10E hyperspectral single core scanning system. The following settings were used for all scans: field of view: 109.33 mm; resolution: 0.0833 mm; exposure: 160 ms; tray speed: 0.5 mm s−1; frame rate: 6 hz; aperture: 1.9
A comprehensive 22-year global GNSS climate data record from 5085 stations
No full textAbstract. This work presents a comprehensive global GNSS climate data record derived from 5085 stations, spanning a 22-year time period 2000–2021. Generated through the GPAC-Repro campaign, the dataset utilises state-of-the-art processing methodologies and precise products from the International GNSS Service (IGS) Repro-3 initiative. The dataset includes high-quality hourly estimates of Zenith Total Delay (ZTD) and Precipitable Water Vapour (PWV), offering improved accuracy and spatiotemporal coverage. A rigorous data screening and quality assessment framework was implemented, including formal error detection, offset identification, and extensive cross-validation with ERA5 reanalysis dataset, radiosonde profiles, and Very Long Baseline Interferometry (VLBI) measurements. Collectively, these efforts ensured the consistency, accuracy, and homogeneity of the dataset. The insights provided by the dataset address critical data gaps in global climate observing systems and provide a robust foundation for advancing climate research and applications
Atmospheric methane and carbon dioxide concentrations measured during ALKOR cruise AL561 on 2021-08-02
No full textAtmospheric gas concentrations of CH4 and CO2 were measured with Picarro G2301-f analyser during AL561 cruise onboard RV Alkor (02.-12.08.2021). The gas inlet was placed at the bow of RV Alkor, at 6 m above sea level, to identify natural and anthropogenic methane anomalies near the sea surface (Schmidt et al., 2021). Concentration data are correlated with GPS-position and weather data (DSHIP) using time stamps (UTC); calculated in 1-3s averages