ALBERT

Beschreibung: At the end of the summer 2021, an increase in CO2 emissions at Vulcano brought to an increase in the alert level and, as a consequence, to the upgrade of the monitoring activities by increasing the number of instruments deployed and the rate of the surveys. One of the new devices installed was a geodetic GNSS mobile network for a Real-Time and High-Frequency monitoring of ground deformation, to increase the detail with respect to the existing permanent network. The whole dataset provided here, consists of 1022 files for a total of 13GB of GNSS RINEX raw data. The GNSS data archive is organized in 4 folders, one for each station, named with the site abbreviation (namely, VCAM, VCOA, VCST and VPRT). Within each folder, there are all the raw data files for that station, one for each day of acquisition. Names of the files are structured following the RINEX 3 standard, the first 4 digits being the station code, that is an S and the last 3 digits of the receiver serial number. The date of acquisition is given by the 11 digits in the central part of the name, in the format YYYYDDDHHMM; namely, 4 digits for the year, followed by 3 digits for the day of the year (from 1 to 365 or 366 for leap years) and then 2 digits for the hour and 2 for the minute of the starting time.

Beschreibung: The exponential growth of studies on the biological response to ocean acidification over the last few decades has generated a large amount of data. To facilitate data comparison, a data compilation hosted at the data publisher PANGAEA was initiated in 2008 and is updated on a regular basis (doi:10.1594/PANGAEA.149999). By January 2015, a total of 581 data sets (over 4 000 000 data points) from 539 papers had been archived. Here we present the developments of this data compilation five years since its first description by Nisumaa et al. (2010). Most of study sites from which data archived are still in the Northern Hemisphere and the number of archived data from studies from the Southern Hemisphere and polar oceans are still relatively low. Data from 60 studies that investigated the response of a mix of organisms or natural communities were all added after 2010, indicating a welcomed shift from the study of individual organisms to communities and ecosystems. The initial imbalance of considerably more data archived on calcification and primary production than on other processes has improved. There is also a clear tendency towards more data archived from multifactorial studies after 2010. For easier and more effective access to ocean acidification data, the ocean acidification community is strongly encouraged to contribute to the data archiving effort, and help develop standard vocabularies describing the variables and define best practices for archiving ocean acidification data.

Beschreibung: First- and second-year sea-ice thickness, draft, salinity, temperature, and density were measured during two ice stations on 24 October 2022 and 30 October 2022 during leg 1 of the GoNorth 2022 expedition. The ice cores were extracted with 7.25-cm (Mark III) internal diameter ice corers (Kovacs Enterprise, US). During each ice station, ice temperature was measured in situ from a separate temperature core, using Ebro TFX 410 Thermometer thermometers in drill holes with a length of half-core-diameter at 5 cm vertical resolution. Ice bulk practical salinity was measured from melted core sections at 5 cm resolution using a Mettler Toledo SevenGo conductivity meter. Sea ice density was measured using the hydrostatic weighing method (Pustogvar and Kulyakhtin, 2016) from several density cores in the freezer laboratory onboard RV Kronprins Haakon at the temperature from –10°C to –14°C. Relative volumes of brine and gas were estimated from ice salinity, temperature, and density using Cox and Weeks (1983) for cold ice and Leppäranta and Manninen (1988) for ice warmer than –2°C. This sea ice physics data was collected during leg 1 of the GoNorth 2022 scientific expedition on 14 October – 3 November 2022 (cruise number 2022713) on the RV Kronprins Haakon. The ice cores were collected at two ice stations (Station 6 and Super Station 14) located at 82°13.56' N and 26°41.43' E for the first and 82°31.05' N and 17°30.04' E for the second sea ice station in the area north of Svalbard. The data contains the event label (1), station (2), time (3), global coordinates (4,5) of each coring measurement, ice type (11), and sample ID (12). Each core has its manually measured ice thickness (6), ice draft (7), snow height (8), and local coordinates for each ice station (7,8). Each core section has the total length of its top (13) and bottom (14) measured in situ. Each core section has the value of its practical salinity (15), each core section of a temperature core has the value of its in situ temperature (16), and each core section of density cores has the value of its ice density (18). Each core section also has laboratory temperature (17), an estimate of brine volume fraction (19), and gas volume fraction (20).

Beschreibung: At the end of the summer 2021, an increase in CO2 emissions at Vulcano brought to an increase in the alert level and, as a consequence, to the upgrade of the monitoring activities by increasing the number of instruments deployed and the rate of the surveys. One of the new devices installed was a geodetic GNSS mobile network for a Real-Time and High-Frequency monitoring of ground deformation, to increase the detail with respect to the existing permanent network. The whole dataset provided here, consists of 1022 files for a total of 13GB of GNSS RINEX raw data. The GNSS data archive is organized in 4 folders, one for each station, named with the site abbreviation (namely, VCAM, VCOA, VCST and VPRT). Within each folder, there are all the raw data files for that station, one for each day of acquisition. Names of the files are structured following the RINEX 3 standard, the first 4 digits being the station code, that is an S and the last 3 digits of the receiver serial number. The date of acquisition is given by the 11 digits in the central part of the name, in the format YYYYDDDHHMM; namely, 4 digits for the year, followed by 3 digits for the day of the year (from 1 to 365 or 366 for leap years) and then 2 digits for the hour and 2 for the minute of the starting time.

Beschreibung: At the end of the summer 2021, an increase in CO2 emissions at Vulcano brought to an increase in the alert level and, as a consequence, to the upgrade of the monitoring activities by increasing the number of instruments deployed and the rate of the surveys. One of the new devices installed was a geodetic GNSS mobile network for a Real-Time and High-Frequency monitoring of ground deformation, to increase the detail with respect to the existing permanent network. The whole dataset provided here, consists of 1022 files for a total of 13GB of GNSS RINEX raw data. The GNSS data archive is organized in 4 folders, one for each station, named with the site abbreviation (namely, VCAM, VCOA, VCST and VPRT). Within each folder, there are all the raw data files for that station, one for each day of acquisition. Names of the files are structured following the RINEX 3 standard, the first 4 digits being the station code, that is an S and the last 3 digits of the receiver serial number. The date of acquisition is given by the 11 digits in the central part of the name, in the format YYYYDDDHHMM; namely, 4 digits for the year, followed by 3 digits for the day of the year (from 1 to 365 or 366 for leap years) and then 2 digits for the hour and 2 for the minute of the starting time.

Beschreibung: At the end of the summer 2021, an increase in CO2 emissions at Vulcano brought to an increase in the alert level and, as a consequence, to the upgrade of the monitoring activities by increasing the number of instruments deployed and the rate of the surveys. One of the new devices installed was a geodetic GNSS mobile network for a Real-Time and High-Frequency monitoring of ground deformation, to increase the detail with respect to the existing permanent network. The whole dataset provided here, consists of 1022 files for a total of 13GB of GNSS RINEX raw data. The GNSS data archive is organized in 4 folders, one for each station, named with the site abbreviation (namely, VCAM, VCOA, VCST and VPRT). Within each folder, there are all the raw data files for that station, one for each day of acquisition. Names of the files are structured following the RINEX 3 standard, the first 4 digits being the station code, that is an S and the last 3 digits of the receiver serial number. The date of acquisition is given by the 11 digits in the central part of the name, in the format YYYYDDDHHMM; namely, 4 digits for the year, followed by 3 digits for the day of the year (from 1 to 365 or 366 for leap years) and then 2 digits for the hour and 2 for the minute of the starting time.

Beschreibung: At the end of the summer 2021, an increase in CO2 emissions at Vulcano brought to an increase in the alert level and, as a consequence, to the upgrade of the monitoring activities by increasing the number of instruments deployed and the rate of the surveys. One of the new devices installed was a geodetic GNSS mobile network for a Real-Time and High-Frequency monitoring of ground deformation, to increase the detail with respect to the existing permanent network. The whole dataset provided here, consists of 1022 files for a total of 13GB of GNSS RINEX raw data. The GNSS data archive is organized in 4 folders, one for each station, named with the site abbreviation (namely, VCAM, VCOA, VCST and VPRT). Within each folder, there are all the raw data files for that station, one for each day of acquisition. Names of the files are structured following the RINEX 3 standard, the first 4 digits being the station code, that is an S and the last 3 digits of the receiver serial number. The date of acquisition is given by the 11 digits in the central part of the name, in the format YYYYDDDHHMM; namely, 4 digits for the year, followed by 3 digits for the day of the year (from 1 to 365 or 366 for leap years) and then 2 digits for the hour and 2 for the minute of the starting time.

Beschreibung: Here we present the concentrations of inorganic nutrients, dissolved organic carbon, nitrogen and phophorus and dissolved inorganic carbon (DIC) from discrete water samples collected with a CTD-rosette during the European Iron Fertilization Experiment (EIFEX). The experiment was carried out from February 11 to March 20, 2004 in the 60-km diameter, rotating core of an eddy, formed by a meander of the Antarctic Polar Front (centred at around 49°10' S and 2°10' E). Samples were taken within the eddy inside and outside the fertilized patch, and in a few cases outside the eddy. Inorganic nutrients (silicate, phosphate, nitrate, nitrite and ammonium) were measured with a Technicon Autoanalyser II system using standard methods. Dissolved organic carbon (DOC) was determined by high temperature combustion using a TOC-VCPH/CPN (Shimadzu) according to Skoog et al. (1997). Dissolved organic nitrogen (DON) was measured on an Evolution continuous flow analyser (Alliance Instruments) after Valderrama (1981). Dissolved inorganic carbon was measured by coulometric titration (Johnson et al., 1987) using a SOMMA system with gas loop calibration with a reproducibility of 2 mmol/kg. DIC was calibrated against certified reference materials from Andrew Dickson at Scripps Institution of Oceanography (SIO).

Beschreibung: The present review of published data as well as the new results demonstrate the versatility of conodonts in documenting and explaining global environmental fluctuations related to the Kačák Episode (KE) in the latest Eifelian. Although the conodont zonation of the KE interval is ambiguous and requires revision, the compilation of conodont stratigraphic ranges shows their potential for a precise worldwide correlation of relevant marine strata. Conodont biofacies may serve to document environmental changes connected with KE, in particular the sealevel rise at its beginning, followed by a regressive trend. Nevertheless, the familiar Icriodus/Polygnathus ratio should be carefully applied as an indication of water depth and nearshore vs. offshore position, being controlled also by other factors, such as paleolatitude and/or climate. Oxygen isotopes in conodont apatite, studied using secondary ion mass spectrometry technique evidence a warming at the onset of KE, based on the new data from the open marine facies of the Prague Basin. At the same time, they indicated climate-controlled salinity fluctuations in the epeiric Belarusian Basin. The present investigations as well as previous results suggest caution when analyzing thermally altered conodonts which may result in biased oxygen isotope signatures. The present experience suggests the conodont colour alteration index CAI 3 as a boundary value above which the caution is necessary.

Beschreibung: This paper investigates the potential of performing orbit determination directly in the Earth-fixed frame based on Inter-Satellite Ranging (ISR) measurements as primary observables, combined with Ground-to-Satellite Ranging (GSR) measurements from a small regional ground network. Current Global Navigation Satellite Systems (GNSSs) use L-band pseudo-range and carrier phase measurements from global or regional ground station networks to perform dynamic Orbit Determination and Time Synchronization (ODTS), whereas sparse Satellite Laser Ranging measurements are mainly used for validation. Future GNSSs may be equipped with inter-satellite links (ISLs) to enable inter-satellite clock offset estimation, ranging and data relay. These capabilities carry the potential to significantly improve ODTS procedures. In this work, we assume a fully connected constellation via pair-wise ISLs, with measurement topology assigned by appropriate link schedulers. The satellite orbits are parametrized with the standard 15 Galileo broadcast perturbed Keplerian elements, estimated by using ISR and GSR measurements. This processing strategy eliminates the complex modeling of gravitational and non-gravitational forces, making it particularly suitable for on-board applications and offering an alternative to classical GNSS orbit determination processing architectures. The proposed orbit determination scheme can be used in case of a ground segment failure as a back-up procedure to estimate the orbits of the GNSS satellites onboard of each satellite and guaranteeing a continuous navigation message generation for the system users. The performance of the proposed method depends on a number of factors, such as the length of the data fitting interval, the measurement quality (precision and accuracy), the scheduling and geometry of ISR and GSR measurements, the number and distribution of ground stations, and the accuracy of the ground station coordinates. Preliminary results show that an orbit-only Signal-in-Space Range Error (SiSRE) in the order of 7–9 cm can be obtained by processing 2 to 3 h data with a limited set of supporting ground stations. In this study, the orbit determination scheme proposed is tested on different scenarios, providing a first assessment of attainable performance.