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  • 2020-2024  (47)
  • 2024  (21)
  • 2022  (10)
  • 2021  (16)
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  • 2024  (21)
  • 2022  (10)
  • 2021  (16)
  • 2023  (11)
  • 2020  (12)
  • 1
    Publication Date: 2024-02-07
    Description: A thorough and reliable assessment of changes in sea surface water temperatures (SSWTs) is essential for understanding the effects of global warming on long-term trends in marine ecosystems and their communities. The first long-term temperature measurements were established almost a century ago, especially in coastal areas, and some of them are still in operation. However, while in earlier times these measurements were done by hand every day, current environmental long-term observation stations (ELTOS) are often fully automated and integrated in cabled underwater observatories (UWOs). With this new technology, year-round measurements became feasible even in remote or difficult to access areas, such as coastal areas of the Arctic Ocean in winter, where measurements were almost impossible just a decade ago. In this context, there is a question over what extent the sampling frequency and accuracy influence results in long-term monitoring approaches. In this paper, we address this with a combination of lab experiments on sensor accuracy and precision and a simulated sampling program with different sampling frequencies based on a continuous water temperature dataset from Svalbard, Arctic, from 2012 to 2017. Our laboratory experiments showed that temperature measurements with 12 different temperature sensor types at different price ranges all provided measurements accurate enough to resolve temperature changes over years on a level discussed in the literature when addressing climate change effects in coastal waters. However, the experiments also revealed that some sensors are more suitable for measuring absolute temperature changes over time, while others are more suitable for determining relative temperature changes. Our simulated sampling program in Svalbard coastal waters over 5 years revealed that the selection of a proper sampling frequency is most relevant for discriminating significant long-term temperature changes from random daily, seasonal, or interannual fluctuations. While hourly and daily sampling could deliver reliable, stable, and comparable results concerning temperature increases over time, weekly sampling was less able to reliably detect overall significant trends. With even lower sampling frequencies (monthly sampling), no significant temperature trend over time could be detected. Although the results were obtained for a specific site, they are transferable to other aquatic research questions and non-polar regions.
    Type: Article , PeerReviewed , info:eu-repo/semantics/article
    Format: text
    Format: text
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  • 2
    Publication Date: 2024-02-07
    Description: Modular Observation Solutions of Earth Systems (MOSES) is a novel observation system that is specifically designed to unravel the impact of distinct, dynamic events on the long-term development of environmental systems. Hydrometeorological extremes such as the recent European droughts or the floods of 2013 caused severe and lasting environmental damage. Modeling studies suggest that abrupt permafrost thaw events accelerate Arctic greenhouse gas emissions. Short-lived ocean eddies seem to comprise a significant share of the marine carbon uptake or release. Although there is increasing evidence that such dynamic events bear the potential for major environmental impacts, our knowledge on the processes they trigger is still very limited. MOSES aims at capturing such events, from their formation to their end, with high spatial and temporal resolution. As such, the observation system extends and complements existing national and international observation networks, which are mostly designed for long-term monitoring. Several German Helmholtz Association centers have developed this research facility as a mobile and modular “system of systems” to record energy, water, greenhouse gas, and nutrient cycles on the land surface, in coastal regions, in the ocean, in polar regions, and in the atmosphere—but especially the interactions between the Earth compartments. During the implementation period (2017–21), the measuring systems were put into operation and test campaigns were performed to establish event-driven campaign routines. With MOSES’s regular operation starting in 2022, the observation system will then be ready for cross-compartment and cross-discipline research on the environmental impacts of dynamic events.
    Type: Article , PeerReviewed
    Format: text
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  • 3
    Publication Date: 2023-03-02
    Description: On three transects, in October, November and December 2018 with RV Uthörn dissolved methane was determined continuously . We used a degassing unit which was using surface water from the ship's water supply in an overflowing bucket. The gas mixture was subsequently analyzed with a Greenhouse Gas Analyzer from LosGatos. Conversion to methane concentration was performed with water samples, from which the methane content was determined with gas chromatography. Atmospheric methane was measured in certain intervals, by disconnecting the degasser, and connecting the Greenhouse Gas Analyzer with a tubing attached at about 6 m above the water surface at the ships upper deck. For basic hydrographic parameters were determined with a CTD (SSDA Sea and Sun Technology, Trappenkamp, Germany ) was placed in the same bucket as described above.
    Keywords: ALTITUDE; atmospheric methane; Chlorophyll a; CT; DATE/TIME; DEPTH, water; dissolved methane; Event label; hydrochemical parameters; LATITUDE; LONGITUDE; Methane; Modular Observation Solutions for Earth Systems; MOSES; Oxygen, dissolved; Salinity; Temperature, water; Turbidity (Formazin Turbidity Unit); Underway cruise track measurements; UT10/2018; UT10/2018-track; UT11/2018; UT11/2018-track; UT12/2018; UT12/2018-track; Uthörn
    Type: Dataset
    Format: text/tab-separated-values, 12869 data points
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  • 4
    Publication Date: 2023-09-28
    Description: On 25 and 26 of June in 2019 transects between Cuxhaven and Bremerhaven towards Helgoland were performed with the RV Prandtl and Uthörn. Basic hydrographic parameters were measured with two ferry boxes using the ships water supply. Data were saved once per minute. Dissolved methane was determined continuously. We used a degassing unit which was using surface water from the ship's water supply in an overflowing bucket. The gas mixture was subsequently analyzed with a Greenhouse Gas Analyzer from LosGatos. Conversion to methane concentration was performed with water samples, from which the methane content was determined with gas chromatography.
    Keywords: CT; DATE/TIME; DEPTH, water; FBOX; FerryBox; Greenhouse Gas Analyzer, LosGatos; KON_stern_2; KON_stern_2-track; LATITUDE; LONGITUDE; Ludwig Prandtl; Methane; Methane, flux; Modular Observation Solutions for Earth Systems; MOSES; Oxygen saturation; Platform; Salinity; Sternfahrt 2, KON, 20190244; Sternfahrt 2, UT05/2019; Temperature, water; Underway cruise track measurements; UT05_stern_2-track; UT05/2019_stern_2; Uthörn; Wind speed
    Type: Dataset
    Format: text/tab-separated-values, 10768 data points
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  • 5
    Publication Date: 2023-09-28
    Description: Surface water samples of the river Elbe were taken in May 2021 with the vessel Zwergseeschwalbe between Geesthacht and Neu Darchau. Connecting cruises were performed from colleagues from Geesthacht towards Hamburg and from Elster towards Dömitz.
    Keywords: 2021_ELBE_53760; 2021_ELBE_54840; 2021_ELBE_55840; 2021_ELBE_56770; 2021_ELBE_57260; 2021_ELBE_57860; 2021_ELBE_58380; 2021_ELBE_58790; 2021_ELBE_59777; 2021_ELBE_60640; Ammonium; Chl a; Chlorophyll a; DATE/TIME; DEPTH, water; Distance; Elbe; Event label; High Performance Liquid Chromatography (HPLC); Nitrate; nutrient; OPTIMARE Precision Salinometer System; Oxygen; Phosphate; Salinity; SEAL Analytical, AutoAnalyzer 3 HR (AA3 HR), XY-2 Sampler, method No. G-177-96 Rev. 8; Silicate; Station 1; Station 10; Station 2; Station 3; Station 4; Station 5; Station 6; Station 7; Station 8; Station 9; Titration, Winkler; turbidity; Turbidity; Turbidity meter, Hach, 2100N IS; Water sample; WS
    Type: Dataset
    Format: text/tab-separated-values, 100 data points
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  • 6
    Publication Date: 2023-09-28
    Description: The vessel Ludwig Prandtl was anchored for 48 h off Cuxhaven at Medem Reede. Water samples were taken approx. every 2 hours during daytime, while sensors were recording continuously. Water samples were taken from ferrybox outlet from surface (1 m).
    Keywords: DATE/TIME; DEPTH, water; dissolved methane; Headspace Equilibration; LATITUDE; LONGITUDE; Methane; Modular Observation Solutions for Earth Systems; MOSES; Oxygen; stern_7_prandtl2021; Titration, Winkler; turbidity; Turbidity; Turbidity meter, Hach, 2100N IS; Water sample; WS
    Type: Dataset
    Format: text/tab-separated-values, 16 data points
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  • 7
    Publication Date: 2023-09-28
    Description: The vessel Reykjanes was anchored for 48 h off Cuxhaven at Medem Reede. Water samples were taken approx. every 2 hours during daytime, while sensors were recording continuously. Water samples were taken from different sources: ship's water supply, in-situ pump and niskin bottle, from surface (1 m) and bottom water (12 m).
    Keywords: DATE/TIME; DEPTH, water; dissolved methane; Headspace Equilibration; LATITUDE; LONGITUDE; Methane; Method comment; Modular Observation Solutions for Earth Systems; MOSES; Oxygen; Sample comment; stern_7_reyk2021; Titration, Winkler; Water sample; WS
    Type: Dataset
    Format: text/tab-separated-values, 117 data points
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  • 8
    Publication Date: 2023-12-14
    Description: In August 2020 the research vessel Albis investigated the river Elbe from Schmielka towards Geesthacht. Basic hydrographic parameters were measured continuously, with a portable ferryBox. Dissolved methane was continuously determined with a degassing unit and a Greenhouse Gas Analyzer from LosGatosResearch. Atmospheric CH4 and CO2 was determined with a Licor system.
    Keywords: atmospheric methane; Carbon dioxide; Carbon dioxide, dissolved; Chlorophyll total; Conductivity, electrical; Cruise/expedition; DATE/TIME; DEPTH, water; dissolved methane; Distance; FBOX; FerryBox; Flow rate; Greenhouse Gas Analyzer, LosGatos; LATITUDE; LONGITUDE; Methane; Methane, dissolved; Methane, flux; Modular Observation Solutions for Earth Systems; MOSES; Oxygen saturation; pH; River Elbe; Ship speed; Temperature, water; Trace gas analyzer, LI-COR, LI-7810; Turbidity (Nephelometric turbidity unit)
    Type: Dataset
    Format: text/tab-separated-values, 64313 data points
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  • 9
    Publication Date: 2024-03-26
    Description: The MOSES Elbe 2023 experiment aims at following a water mass from the spring of the Elbe River in the Czech Republic, through the freshwater and tidal sections of the river, into the North Sea, where three ships (Mya II, Littorina, and Ludwig Prandtl) were used covering the marine environment in the German Bight (Sternfahrt 10). In order to follow the water mass from the Elbe estuary numerical simulations were performed to determine the likelihood of a variety of starting points for a drifter release experiment. At the first morning of the cruise model forecasts were used to determine the exact locations where drifters were to be released. The drifters were initially released in groups of three drifters and then supplemented at a later point of time. During the following two and a half weeks, the current drifter positions were revisited from the ships involved to take water samples.
    Keywords: Changing Earth – Sustaining our Future; Helmholtz_ChangingEarth; Modular Observation Solutions for Earth Systems; MOSES
    Type: Dataset
    Format: application/zip, 12 datasets
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  • 10
    Publication Date: 2024-06-26
    Keywords: 19-Hexanoyloxyfucoxanthin; after Dickson et al. (2007); Alkalinity, total; Alloxanthin; Astaxanthin; beta-Carotene; Carbon, inorganic, dissolved; Carbon, organic, dissolved; Carbon, organic, particulate; Chlorophyll a; Chlorophyll a, epimer; Chlorophyll a allomers; Chlorophyll b; Chlorophyll c2; Chlorophyllide a; Colorimetric using QuAAtro39 AA (Seal Analytical); Comment; DEPTH, water; Diadinoxanthin; Diatoxanthin; Element analyse, Eurovector after Sharp (1974); Event label; Fucoxanthin; L1; L11; L13; L15; L17; L19; L20_stern_5; L21; L23; L25; L27; L29; L30; L32; L33; L34; L36; L38; L4; L43; L45; L48; L51; L54; L57; L58; L61; L62; L63; L65; L7; L8; L9; Littorina; Lutein; Mg-2,4-divinyl pheoporphyrin a5 monomethyl ester; Modular Observation Solutions for Earth Systems; MOSES; Neoxanthin; Nitrate; Nitrite; OPTIMARE Precision Salinometer System; Oxygen, dissolved; Peridinin; Phosphate; Prasinoxanthin; Salinity; Shimadzu TOC-VCPH total organic carbon analyzer; Silicate; stern_5-L1; stern_5-L11; stern_5-L13; stern_5-L15; stern_5-L17; stern_5-L19; stern_5-L21; stern_5-L23; stern_5-L25; stern_5-L27; stern_5-L29; stern_5-L30; stern_5-L32; stern_5-L33; stern_5-L34; stern_5-L36; stern_5-L38; stern_5-L4; stern_5-L43; stern_5-L45; stern_5-L48; stern_5-L51; stern_5-L54; stern_5-L57; stern_5-L58; stern_5-L61; stern_5-L62; stern_5-L63; stern_5-L65; stern_5-L7; stern_5-L8; stern_5-L9; Sternfahrt 5; Thermo Scientific UltiMate 3000 high-performance liquid chromatography instrument (HPLC) (van Heukelem 2001); Titration, Winkler; Violaxanthin; Water sample; WS; Zeaxanthin
    Type: Dataset
    Format: text/tab-separated-values, 880 data points
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