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  • Data  (10,875)
  • 2015-2019  (10,875)
  • 1975-1979
  • 1945-1949
  • 2017  (10,875)
Collection
Keywords
Publisher
Language
Years
  • 2015-2019  (10,875)
  • 1975-1979
  • 1945-1949
Year
  • 1
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    PANGAEA
    In:  Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven
    Publication Date: 2023-03-16
    Description: This dataset was created via processing of raw position data acquired by the GPS sensor for scientific equipment on Polar 6/Polar 5 to receive a validated master track which is used as reference of further expedition data.
    Keywords: AWI_GeoPhy; Marine Geophysics @ AWI
    Type: Dataset
    Format: application/zip, 18 datasets
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  • 2
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    PANGAEA
    In:  Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven
    Publication Date: 2023-03-16
    Description: This dataset was created via processing of raw position data acquired by the GPS sensor for scientific equipment on Polar 6/Polar 5 to receive a validated master track which is used as reference of further expedition data.
    Keywords: AWI_GeoPhy; Marine Geophysics @ AWI
    Type: Dataset
    Format: application/zip, 12 datasets
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  • 3
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    PANGAEA
    In:  Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven
    Publication Date: 2023-03-16
    Description: This dataset was created via processing of raw position data acquired by the GPS sensor for scientific equipment on Polar 6/Polar 5 to receive a validated master track which is used as reference of further expedition data.
    Keywords: AWI_GeoPhy; Marine Geophysics @ AWI
    Type: Dataset
    Format: application/zip, 25 datasets
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  • 4
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    PANGAEA
    In:  Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven
    Publication Date: 2023-03-16
    Description: This dataset was created via processing of raw position data acquired by the GPS sensor for scientific equipment on Polar 6/Polar 5 to receive a validated master track which is used as reference of further expedition data.
    Keywords: AWI_GeoPhy; Marine Geophysics @ AWI
    Type: Dataset
    Format: application/zip, 19 datasets
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  • 5
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    PANGAEA
    In:  Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven
    Publication Date: 2023-03-16
    Description: The upper air soundings are normally performed once a day to measure vertical profiles of air pressure, temperature, relative humidity and the wind vector. Helium filled balloons (TOTEX 600 g, 800 g) were used to carry Vaisala RS92-SGPW radiosondes. Whenever possible, the launches were performed about 10 UTC. Condensed measurements (TEMP Format FM-35, BUFR) were transferred without delay into the Global Telecommunication System GTS were they contribute for the world wide weather forecasts. The profile data were taken every 5-10 seconds which result in a vertical profile resolution of about 25-50 meter. The profiles start at the helideck 10 m above sea level and terminate at the burst level of the balloons, normally at heights between 25 and 37 km.
    Keywords: AWI_Meteo; Meteorological Long-Term Observations @ AWI
    Type: Dataset
    Format: application/zip, 59 datasets
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  • 6
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    PANGAEA
    In:  Supplement to: Stein, Ruediger; Fahl, Kirsten; Gierz, Paul; Niessen, Frank; Lohmann, Gerrit (2017): Arctic Ocean sea ice cover during the penultimate glacial and the last interglacial. Nature Communications, 8(1), 13 pp, https://doi.org/10.1038/s41467-017-00552-1
    Publication Date: 2023-03-16
    Description: Coinciding with global warming, Arctic sea ice has rapidly decreased during the last four decades and climate scenarios suggest that sea ice may completely disappear during summer within the next about 50-100 years. Here we produce Arctic sea ice biomarker proxy records for the penultimate glacial (Marine Isotope Stage 6) and the subsequent last interglacial (Marine Isotope Stage 5e). The latter is a time interval when the high latitudes were significantly warmer than today. We document that even under such warmer climate conditions, sea ice existed in the central Arctic Ocean during summer, whereas sea ice was significantly reduced along the Barents Sea continental margin influenced by Atlantic Water inflow. Our proxy reconstruction of the last interglacial sea ice cover is supported by climate simulations, although some proxy data/model inconsistencies still exist. During late Marine Isotope Stage 6, polynya-type conditions occurred off the major ice sheets along the northern Barents and East Siberian continental margins, contradicting a giant Marine Isotope Stage 6 ice shelf that covered the entire Arctic Ocean.
    Keywords: AWI_Paleo; Paleoenvironmental Reconstructions from Marine Sediments @ AWI
    Type: Dataset
    Format: application/zip, 4 datasets
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  • 7
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    PANGAEA
    In:  Supplement to: Fischer, Philipp; Schwanitz, Max; Loth, Reiner; Posner, Uwe; Brand, Markus; Schroeder, Friedhelm (2016): First year of the new Arctic AWIPEV-COSYNA cabled Underwater Observatory in Kongsfjorden, Spitsbergen. Ocean Science Discussions, 34 pp, https://doi.org/10.5194/os-2016-52
    Publication Date: 2023-03-16
    Description: A combined year round assessment of selected oceanographic data and a macrobiotic community assessment was performed from October 2013 to November 2014 in the littoral zone of the polar fjord systems Kongsfjorden on the west coast of Svalbard (Norway). A state of the art remote controlled cabled underwater observatory technology was used for daily vertical profiles of temperature, salinity and turbidity together with a stereo-optical assessment of the macrobiotic community, including fish. The results reveal a distinct seasonal cycle in total species abundances with a significantly higher total abundance and species richness during the polar winter when no light is available under water compared to the summer months when 24-h light is available. During the winter months, a temporally highly segmented community was observed with respect to species occurrence with single species dominating the winter community for restricted times. In contrast, the summer community showed an overall lower total abundance, as well as a significantly lower number of species. The study clearly demonstrates the high potential of cable connected remote controlled digital sampling devices, especially in remote areas, such as the polar fjord systems, with harsh environmental conditions and limited accessibility. A smart combination of such new digital ?sampling? methods with classic sampling procedures can provide a possibility to significantly extend the sampling time and frequency especially in remote and difficult to access areas. This can help to provide a sufficient data density and therefore statistical power for a sound scientific analysis without increasing the invasive sampling pressure in ecologically sensitive environments.
    Keywords: AWI_Coast; Coastal Ecology @ AWI
    Type: Dataset
    Format: application/zip, 2 datasets
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  • 8
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    PANGAEA
    In:  Supplement to: Shama, Lisa N S (2017): The mean and variance of climate change in the oceans: hidden evolutionary potential under stochastic environmental variability in marine sticklebacks. Scientific Reports, 7(1), https://doi.org/10.1038/s41598-017-07140-9
    Publication Date: 2023-03-16
    Description: Increasing climate variability may pose an even greater risk to species than climate warming because temperature fluctuations can amplify adverse impacts of directional warming on fitness-related traits. Here, the influence of directional warming and increasing climate variability on marine stickleback fish (Gasterosteus aculeatus) offspring size variation was investigated by simulating changes to the mean and variance of ocean temperatures predicted under climate change. Reproductive traits of mothers and offspring size reaction norms across four climate scenarios were examined to assess the roles of standing genetic variation, transgenerational and within-generation plasticity in adaptive potential. Mothers acclimated to directional warming produced smaller eggs than mothers in constant, ambient temperatures, whereas mothers in a predictably variable environment (weekly change between temperatures) produced a range of egg sizes, possibly reflecting a diversified bet hedging strategy. Offspring size post-hatch was mostly influenced by genotype by environment interactions and not transgenerational effects. Offspring size reaction norms also differed depending on the type of environmental predictability (predictably variable vs. stochastic), with offspring reaching the largest sizes in the stochastic environment. Release of cryptic genetic variation for offspring size in the stochastic environment suggests hidden evolutionary potential in this wild population to respond to changes in environmental predictability.
    Keywords: AWI_Coast; Coastal Ecology @ AWI
    Type: Dataset
    Format: application/zip, 4 datasets
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  • 9
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    PANGAEA
    In:  Supplement to: Münch, Thomas; Kipfstuhl, Sepp; Freitag, Johannes; Meyer, Hanno; Laepple, Thomas (2017): Constraints on post-depositional isotope modifications in East Antarctic firn from analysing temporal changes of isotope profiles. The Cryosphere, 11(5), 2175-2188, https://doi.org/10.5194/tc-11-2175-2017
    Publication Date: 2023-03-16
    Description: The isotopic composition of water in ice sheets is extensively used to infer past climate changes. In low-accumulation regions their interpretation is however challenged by poorly constrained effects that may influence the initial isotope signal during and after deposition of the snow. This is reflected in snow-pit isotope data from Kohnen Station, Antarctica, which exhibit a seasonal cycle but also strong inter-annual variations that contradict local temperature observations. These inconsistencies persist even after averaging many profiles and are thus not explained by local stratigraphic noise. Previous studies have suggested that post-depositional processes may significantly influence the isotopic composition of East Antarctic firn. Here, we investigate the importance of post-depositional processes within the open-porous firn (〉 10 cm depth) at Kohnen Station by separating spatial from temporal variability. To this end, we analyse 22 isotope profiles obtained from two snow trenches and examine the temporal isotope modifications by comparing the new with published trench data extracted 2 years earlier. The initial isotope profiles undergo changes over time due to downward-advection, firn diffusion and densification in magnitudes consistent with independent estimates. Beyond that, we find further modifications of the original isotope record to be unlikely, or small in magnitude (〈〈 1 per mil RMSD). These results show that the discrepancy between local temperatures and isotopes most likely originates from spatially coherent processes prior to or during deposition, such as precipitation intermittency or systematic isotope modifications acting on drifting or loose surface snow.
    Keywords: AWI_Envi; AWI_Glac; Glaciology @ AWI; Polar Terrestrial Environmental Systems @ AWI
    Type: Dataset
    Format: application/zip, 2 datasets
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  • 10
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    PANGAEA
    In:  Supplement to: Heinecke, Liv; Epp, Laura Saskia; Reschke, Maria; Stoof-Leichsenring, Kathleen Rosmarie; Mischke, Steffen; Plessen, Birgit; Herzschuh, Ulrike (2017): Aquatic macrophyte dynamics in Lake Karakul (Eastern Pamir) over the last 29 cal ka revealed by sedimentary ancient DNA and geochemical analyses of macrofossil remains. Journal of Paleolimnology, 58(3), 403-417, https://doi.org/10.1007/s10933-017-9986-7
    Publication Date: 2023-03-16
    Description: Due to methodological challenges there are only a few studies that focus on macrophyte dynamics in large lakes despite their notable role in a lake's ecosystem functioning. This study investigates composition and productivity changes of the submerged vegetation of Lake Karakul, Pamir Mountains (Tajikistan), using sedimentary ancient DNA metabarcoding and elemental (C/N) and isotopic (d13C, d15N) measurements of Stuckenia cf. pamirica ((Baagøe) Z.Kaplan; Potamogetonaceae) leaf remains. No Stuckenia cf. pamirica leaf remains were found for 28.7 to 26.1 cal ka BP, when both Potamogetonaceae and Chara (L.) DNA sequences were recorded, suggesting sparse submerged vegetation at the coring site. This agrees with the inference of a deep lake reached using geochemical proxies. From 26.1 to 17.5 cal ka BP a few macrophyte remains and high numbers of Potamogetonaceae sequences were recovered: lake level was probably low, as suggested by other studies on the lake. Another phase of increased numbers of Chara sequences and the absence of Stuckenia cf. pamirica leaf remains was found between 17.5 and 12.2 cal ka BP, which coincides with a lake-level transgression at Lake Karakul as indicated by paleo-shoreline investigations. Analyses of macrophyte remains reveal intermediate paleo-productivity from 6.9 cal ka BP and high paleo-productivity from 2.2 cal ka BP onwards. From comparisons with other studies, we suggest that lake-level changes are the main driver for the submerged vegetation composition and productivity at the coring site in Lake Karakul and underline our conclusions by depicting the present-day distribution of Stuckenia cf. pamirica and Chara within the lake.
    Keywords: AWI_Envi; AWI_PerDyn; Permafrost Research (Periglacial Dynamics) @ AWI; Polar Terrestrial Environmental Systems @ AWI
    Type: Dataset
    Format: application/zip, 2 datasets
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  • 11
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    PANGAEA
    In:  Supplement to: Zimmermann, Heike Hildegard; Raschke, Elena; Epp, Laura Saskia; Stoof-Leichsenring, Kathleen Rosmarie; Schirrmeister, Lutz; Schwamborn, Georg; Herzschuh, Ulrike (2017): The History of Tree and Shrub Taxa on Bol'shoy Lyakhovsky Island (New Siberian Archipelago) since the Last Interglacial Uncovered by Sedimentary Ancient DNA and Pollen Data. Genes, 8(10), 273, https://doi.org/10.3390/genes8100273
    Publication Date: 2023-03-16
    Description: has to submitted by author
    Keywords: AWI_Envi; AWI_PerDyn; AWI_Perma; Permafrost Research; Permafrost Research (Periglacial Dynamics) @ AWI; Polar Terrestrial Environmental Systems @ AWI
    Type: Dataset
    Format: application/zip, 6 datasets
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  • 12
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    PANGAEA
    In:  Supplement to: Schaller, Christoph Florian; Freitag, Johannes; Eisen, Olaf (2017): Gas enclosure in polar firn follows universal law. Climate of the Past Discussions, 12 pp, https://doi.org/10.5194/cp-2017-94
    Publication Date: 2023-03-16
    Description: In order to interpret the paleoclimatic record stored in the air enclosed in polar ice cores, it is crucial to understand the fundamental lock-in process. Within the porous firn, bubbles are sealed continuously until the respective horizontal layer reaches a critical porosity. Present-day firn models use a postulated temperature dependence of this value as the only parameter to adjust to the surrounding conditions of individual sites. However, no direct measurements of the firn microstructure could confirm these assumptions. Here we show that the critical porosity is a universal constant by providing a statistically solid data set of µm-resolution 3D X-ray computer tomographic measurements for ice cores representing different extremes of the temperature and accumulation ranges. We demonstrate why indirect measurements yield misleading data and substantiate our observations by applying percolation theory as a theoretical framework for bubble trapping. Incorporation of our results does significantly influence the dating of trace gas records, changing gas age-ice age differences by up to more than 1000 years. This will help resolve inconsistencies, such as differences between East Antarctic d15N records (as a proxy for firn height) and model results. We expect our findings to be the basis for improved firn air and densification models, leading to lower dating uncertainties. The reduced coupling of proxies and surrounding conditions may allow for more sophisticated reinterpretations of trace gas records in terms of paleoclimatic changes and will foster the development of new proxies, such as the air content as a marker of local insolation.
    Keywords: AWI_Glac; Glaciology @ AWI
    Type: Dataset
    Format: application/zip, 7 datasets
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  • 13
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    PANGAEA
    In:  Supplement to: Raes, Eric J; Bodrossy, Levente; Van De Kamp, Jodie; Bissett, Andrew; Waite, Anya M (2018): Marine bacterial richness increases towards higher latitudes in the eastern Indian Ocean. Limnology and Oceanography Letters, 3(1), 10-19, https://doi.org/10.1002/lol2.10058
    Publication Date: 2023-03-16
    Description: Abstract: We investigated the bacterial community structure in surface waters along a 2500 km transect in the eastern Indian Ocean. Using high throughput sequencing of the 16S rRNA gene we measured a significant latitudinal increase in bacterial richness from 800 to 1400 OTUs (42% increase; r2=0.65; p〈0.001) from the tropical Timor Sea to the colder temperate waters. Total dissolved inorganic nitrogen, chl a, phytoplankton community structure and primary productivity strongly correlated with bacterial richness (all p〈0.01). Our data suggest that primary productivity drives greater bacterial richness. Because, N2-fixation accounts for up to 50% of new production in this region we tested whether higher N2-fixation rates are linked to a greater nifH diversity. The nifH diversity was dominated by heterotrophic Alphaproteobacteria, Betaproteobacteria, and Gammaproteobacteria. We did not found any mechanistic links between nifH amplicon data, bacterial richness and primary productivity due to the overall low nifH evenness in this region. Scientific statement: Geographic gradients of marine microbial diversity is currently thought to be explained by two mechanisms, 1) diversity increases with increased productivity, and 2) it increases with increasing temperature. However, conclusive evidence for these mechanisms has been lacking from studies that span gradients in both, and it is unclear which organisms are responsible for the changes in diversity along these gradients. Here we present the first analysis of bacterial richness along the West Australian boundary current, the Leeuwin Current. Our analysis of bacterial richness along a latitudinal gradient in the eastern Indian Ocean shows support for the productivity mechanism rather than the temperature mechanism. Further, we show that bacterial richness increases towards the productive temperate waters are driven by productive eukaryotes (NO3- based) and heterotrophic N2-fixers.
    Keywords: AWI_BioOce; Biological Oceanography @ AWI
    Type: Dataset
    Format: application/zip, 4 datasets
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  • 14
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    PANGAEA
    In:  Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven
    Publication Date: 2023-03-16
    Description: Upper air soundings onboard Polarstern are normally performed once a day to measure vertical profiles of air pressure, temperature, relative humidity and the wind vector. Helium filled balloons (TOTEX 600 g) were used to carry Vaisala RS92-SGP radiosondes. Whenever possible, the launches were carried out shortly before 11 UTC, in order to reach 100 hPa at 12 UTC. Condensed measurements (TEMP Format FM-35, BUFR) were transferred without delay into the Global Telecommunication System GTS, were they contribute to the world wide weather forecast analysis. The profile data were taken every 5 seconds, which results in a vertical resolution of about 25 meter. The profiles start at the helideck 10 m above sea level and terminate at the burst level of the balloons, normally at heights between 25 and 37 km.
    Keywords: AWI_Meteo; Meteorological Long-Term Observations @ AWI
    Type: Dataset
    Format: application/zip, 46 datasets
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  • 15
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    PANGAEA
    Publication Date: 2023-03-14
    Keywords: Barium; Calcium; Chloride; Magnesium; Manganese; pH; Silicon; Sodium; Strontium; Sulfate; Temperature, water; Time in days
    Type: Dataset
    Format: text/tab-separated-values, 197 data points
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  • 16
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    PANGAEA
    Publication Date: 2023-03-14
    Keywords: Barium; Calcium; Chloride; Magnesium; Manganese; pH; Silicon; Sodium; Strontium; Sulfate; Temperature, water; Time in days
    Type: Dataset
    Format: text/tab-separated-values, 226 data points
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  • 17
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    PANGAEA
    Publication Date: 2023-03-14
    Keywords: Barium; Calcium; Chloride; Magnesium; Manganese; pH; Silicon; Sodium; Strontium; Sulfate; Temperature, water; Time in days
    Type: Dataset
    Format: text/tab-separated-values, 217 data points
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  • 18
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    PANGAEA
    Publication Date: 2023-03-14
    Keywords: Barium; Calcium; Chloride; Magnesium; Manganese; pH; Silicon; Sodium; Strontium; Sulfate; Temperature, water; Time in days
    Type: Dataset
    Format: text/tab-separated-values, 307 data points
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  • 19
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    PANGAEA
    Publication Date: 2023-03-14
    Keywords: Barium; Calcium; Chloride; Magnesium; Manganese; pH; Silicon; Sodium; Strontium; Sulfate; Temperature, water; Time in days
    Type: Dataset
    Format: text/tab-separated-values, 292 data points
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  • 20
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    PANGAEA
    Publication Date: 2023-03-14
    Keywords: Barium; Calcium; Chloride; Magnesium; Manganese; pH; Silicon; Sodium; Strontium; Sulfate; Temperature, water; Time in days
    Type: Dataset
    Format: text/tab-separated-values, 196 data points
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  • 21
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    PANGAEA
    Publication Date: 2023-03-14
    Keywords: Barium; Calcium; Chloride; Magnesium; Manganese; pH; Silicon; Sodium; Strontium; Sulfate; Temperature, water; Time in days
    Type: Dataset
    Format: text/tab-separated-values, 197 data points
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  • 22
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    PANGAEA
    Publication Date: 2023-03-14
    Keywords: Barium; Calcium; Chloride; Magnesium; Manganese; pH; Silicon; Sodium; Strontium; Sulfate; Temperature, water; Time in days
    Type: Dataset
    Format: text/tab-separated-values, 229 data points
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  • 23
    Publication Date: 2023-03-14
    Keywords: Aluminium; AWI_PerDyn; AWI Arctic Land Expedition; Bicarbonate ion; Byk_98_BH2; Calcium; Chloride; Conductivity, electrolytic; Fluoride; Height above sea level; Iron; Lena Delta, Siberia, Russia; Lena-Delta1998; Magnesium; Manganese; MULT; Multiple investigations; Nitrate; Permafrost Research (Periglacial Dynamics) @ AWI; pH; Phosphorus, total; Potassium; RU-Land_1998_Lena; Sample code/label; Sediment type; Silicate; Sodium; Strontium 2+; Sulfate
    Type: Dataset
    Format: text/tab-separated-values, 478 data points
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  • 24
    Publication Date: 2023-03-14
    Keywords: Alkalinity, total; Aragonite saturation state; Bicarbonate ion; BREST; Calcite saturation state; Canary Islands; Carbon, inorganic, dissolved; Carbon, organic, total; Carbon, total; Carbon/Nitrogen ratio; Carbonate ion; Carbonates; Carbon dioxide; Carbon dioxide, partial pressure; CarMALG_BREST; CarMALG_GC; CarMALG_GRN; CarMALG_IR; CarMALG_MOSS; CarMALG_OSLO; CarMALG_SPIT; DEPTH, water; Event label; France; Fugacity of carbon dioxide in seawater; GC; Genus; GRN; IR; Ireland; LATITUDE; Latitude of event; Longitude of event; MOSS; Nitrogen, organic; OSLO; pH; Rhodolith; Salinity; Sample code/label; Site; South Atlantic Ocean; Species; SPIT; Spitsbergen; Temperature, water; West Greenland; δ13C; δ13C, organic matter; δ15N, organic matter
    Type: Dataset
    Format: text/tab-separated-values, 2189 data points
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  • 25
    Publication Date: 2023-03-14
    Keywords: Ammonium; Chemical oxygen demand; Conductivity; Event label; Indonesia; Jepara_Indonesia; LATITUDE; Leibniz Centre for Tropical Marine Research; LONGITUDE; Nitrogen oxide; Oxidation reduction (RedOx) potential; Oxygen; pH; Phosphate; Salinity; Silicate; Temperature, water; Water sample; WS; ZMT
    Type: Dataset
    Format: text/tab-separated-values, 473 data points
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  • 26
    Publication Date: 2023-03-13
    Keywords: Coastal Observing System for Northern and Arctic Seas; COSYNA; DATE/TIME; File name; German_Bight; German Bight, North Sea; MULT; Multiple investigations; Uniform resource locator/link to file; Uniform resource locator/link to metadata file
    Type: Dataset
    Format: text/tab-separated-values, 1062 data points
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  • 27
    Publication Date: 2023-03-13
    Keywords: Coastal Observing System for Northern and Arctic Seas; COSYNA; DATE/TIME; File name; German_Bight; German Bight, North Sea; MULT; Multiple investigations; Uniform resource locator/link to file; Uniform resource locator/link to metadata file
    Type: Dataset
    Format: text/tab-separated-values, 903 data points
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  • 28
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    PANGAEA
    In:  Bundesamt für Seeschifffahrt und Hydrographie, Helmholtz-Zentrum Geesthacht Centre for Materials and Coastal Research
    Publication Date: 2023-03-13
    Keywords: Borkum Riffgrund, Germany; DATE/TIME; DRIFT; Drifter; Gustav Meyer; Helmholtz-Zentrum Geesthacht, Institute of Coastal Research; HZG; JUSP_HK-2015-016; JUSP_HK-2015-016_DRIFT-3; LATITUDE; LONGITUDE
    Type: Dataset
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  • 29
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    PANGAEA
    In:  Bundesamt für Seeschifffahrt und Hydrographie, Helmholtz-Zentrum Geesthacht Centre for Materials and Coastal Research
    Publication Date: 2023-03-13
    Keywords: Borkum Riffgrund, Germany; DATE/TIME; DRIFT; Drifter; Gustav Meyer; Helmholtz-Zentrum Geesthacht, Institute of Coastal Research; HZG; JUSP_HK-2015-016; JUSP_HK-2015-016_DRIFT-4; LATITUDE; LONGITUDE
    Type: Dataset
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  • 30
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    PANGAEA
    In:  Bundesamt für Seeschifffahrt und Hydrographie, Helmholtz-Zentrum Geesthacht Centre for Materials and Coastal Research
    Publication Date: 2023-03-13
    Keywords: Borkum Riffgrund, Germany; DATE/TIME; DRIFT; Drifter; Gustav Meyer; Helmholtz-Zentrum Geesthacht, Institute of Coastal Research; HZG; JUSP_HK-2015-016; JUSP_HK-2015-016_DRIFT-5; LATITUDE; LONGITUDE
    Type: Dataset
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  • 31
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    PANGAEA
    In:  Bundesamt für Seeschifffahrt und Hydrographie, Helmholtz-Zentrum Geesthacht Centre for Materials and Coastal Research
    Publication Date: 2023-03-13
    Keywords: Borkum Riffgrund, Germany; DATE/TIME; DRIFT; Drifter; Gustav Meyer; Helmholtz-Zentrum Geesthacht, Institute of Coastal Research; HZG; JUSP_HK-2015-016; JUSP_HK-2015-016_DRIFT-7; LATITUDE; LONGITUDE
    Type: Dataset
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  • 32
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    PANGAEA
    In:  Alfred Wegener Institute - Research Unit Potsdam
    Publication Date: 2023-03-14
    Keywords: AWI_PerDyn; AWI Arctic Land Expedition; Bicarbonate ion; Calcium; Chloride; Conductivity, electrolytic; Height above sea level; Lya_1999; Lya_1999_R17; Lyakhovsky Islands; Magnesium; MULT; Multiple investigations; Nitrate; Permafrost Research (Periglacial Dynamics) @ AWI; pH; Potassium; RU-Land_1999_Lyakhovsky; Sample code/label; Sediment type; Sodium; Sulfate
    Type: Dataset
    Format: text/tab-separated-values, 78 data points
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  • 33
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    In:  Alfred Wegener Institute - Research Unit Potsdam
    Publication Date: 2023-03-14
    Keywords: AWI_PerDyn; AWI Arctic Land Expedition; Bicarbonate ion; Calcium; Chloride; Conductivity, electrolytic; Height above sea level; Lya_1999; Lya_1999_R22+60; Lyakhovsky Islands; Magnesium; MULT; Multiple investigations; Nitrate; Permafrost Research (Periglacial Dynamics) @ AWI; pH; Potassium; RU-Land_1999_Lyakhovsky; Sample code/label; Sediment type; Sodium; Sulfate
    Type: Dataset
    Format: text/tab-separated-values, 52 data points
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  • 34
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    In:  Supplement to: Yang, Chengfan; Yang, Shouye; Su, Ni (2016): Stable hydrogen and oxygen isotopes in mineral-bound water and the indication for chemical weathering intensity. Chemical Geology, 441, 14-23, https://doi.org/10.1016/j.chemgeo.2016.08.015
    Publication Date: 2023-03-14
    Description: Chemical weathering plays a key role in the long-term climate change and global biogeochemical cycle. In this study, a 5.1 m-long basalt-developed weathering profile from Hunan Province, China, was selected for the analyses of major elements, grain size, pH, total organic carbon, thermogravimetric (TG) and differential thermogravimetric properties (DTG), as well as stable isotopes (dD and d18O) in mineral-bound waters. The major purpose is to distinguish different types of mineral-bound water and to verify whether hydrogen and oxygen isotopes of mineral-bound water can indicate chemical weathering intensity. Based on the TG and DTG results, different types of mineral-bound water were extracted by a sequential heating extraction technique (40-120 °C, 120-300 °C, 300-600 °C and 600-900 °C). The mineral-bound water lost below 120 °C is absorbed water, a mixture of interlayer and crystal waters occurs at 120-300 °C, and above 300 °C is mostly constitution water. Hydrogen and oxygen isotopic ratios at top ~ 2 m are subject to the influences of eolian and pedogenic processes. The absorbed water has been exchanged and reached isotopic equilibrium with ambient soil water, while the crystal water and interlayer water cannot be separated by heating method in this study. Hydrogen and oxygen isotopes of constitution water can indicate chemical weathering, showing positive relationships with weathering intensity. Although the mechanism for their indication to chemical weathering remains further investigation, we suggest that the isotopic fractionation between the formation of clay minerals and surface water should be taken into account. This research sheds new light on mineral-bound water phase and a potential proxy for tracing the process of chemical weathering.
    Keywords: Aluminium oxide; Calcium oxide; Carbon, organic, total; China; Clay minerals; DEPTH, soil; HAND; Horizon; Hunan_Province; Iron oxide, Fe2O3; Magnesium oxide; pH; Potassium oxide; Sample ID; Sampling by hand; Silicon dioxide; Sodium oxide; Standard deviation; Water in rock; δ18O
    Type: Dataset
    Format: text/tab-separated-values, 718 data points
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  • 35
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    PANGAEA
    In:  South China Botanical Garden
    Publication Date: 2023-03-14
    Description: Soil phosphorus (P) fractions are critical for understanding soil P dynamics and availability. This paper provides a global dataset of soil P fractions separated by the Hedley method. The dataset also includes key environmental factors associated with soil P dynamics and availability, including climate factors, vegetation, soil and parent material types, soil age, and soil physiochemical properties such as particle size, bulk density, pH in water, organic carbon, total nitrogen, and extractable iron and aluminium concentrations. This dataset includes measures of Hedley P fractions of 802 soil samples and was gathered through a literature survey of 99 published studies. Plant availability of each soil P fraction was noted. We anticipate that the global dataset will provide valuable information for studying soil P dynamics and availability, and it will be fused into earth system models to better predict how terrestrial ecosystems will respond to global environmental changes.
    Keywords: -; Age, soil; Aluminium; Aridity index; Carbon, organic, total; Code; Comment; Country; Density, dry bulk; DEPTH, soil; ELEVATION; Elevation 2; Iron; LATITUDE; Latitude 2; LONGITUDE; Longitude 2; Method comment; Nitrogen, total; Parent material; pH; Phosphorus; Phosphorus, inorganic; Phosphorus, organic; Precipitation, annual mean; Reference/source; Sand; Silt; Site; Size fraction 〈 0.002 mm, clay; Slope; Soil classification system; Soil horizon; Soil type; Stand age, description; Temperature, annual mean; Texture; Vegetation type
    Type: Dataset
    Format: text/tab-separated-values, 32500 data points
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  • 36
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    In:  Helmholtz-Zentrum Geesthacht Centre for Materials and Coastal Research, Institut für Hydrobiologie und Fischereiwissenschaften, Universität Hamburg
    Publication Date: 2023-03-13
    Description: The drifters were deployed within the German Bight of the North Sea from the FS Heincke during cruise HE 490, which was performed between 21. June and 5. July 2017. The utilized drifters obtain their position via the Global Positioning System (GPS) and communicated their locations to the lab via Iridium (a global full ocean coverage bidirectional satellite communication network). Within the experiment, five Albatros drifters MD03i were used. The MD03i is a cylinder shaped drifter, which has a diameter of 0.1 m and a length of 0.32 m, where only approx. 0.08 m are above the water surface when deployed. To enhance the drifters drag a sail was attached 1.0 m below the sea surface. The sails were made of two circular black plastic parts (0.35 m diameter) joined perpendicularly in the center. Due to the very small area above the water surface the drifter path represents the current in the upper meter of the water column.
    Keywords: Helmholtz-Zentrum Geesthacht, Institute of Coastal Research; HZG
    Type: Dataset
    Format: application/zip, 5 datasets
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  • 37
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    In:  Helmholtz-Zentrum Geesthacht Centre for Materials and Coastal Research, Institut für Hydrobiologie und Fischereiwissenschaften, Universität Hamburg
    Publication Date: 2023-03-13
    Description: The drifters were deployed within the German Bight of the North Sea from the FS Heincke during cruise HE 496, which was performed between 14. and 21. September 2017. The utilized drifters obtain their position via the Global Positioning System (GPS) and communicated their locations to the lab via Iridium (a global full ocean coverage bidirectional satellite communication network). Within the experiment, 10 Albatros drifters MD03i were used. The MD03i is a cylinder shaped drifter, which has a diameter of 0.1 m and a length of 0.32 m, where only approx. 0.08 m are above the water surface when deployed. To enhance the drifters drag a sail was attached 1.0 m below the sea surface. The sails were made of two circular black plastic parts (0.35 m diameter) joined perpendicularly in the center. Due to the very small area above the water surface the drifter path represents the current in the upper meter of the water column.
    Keywords: Helmholtz-Zentrum Geesthacht, Institute of Coastal Research; HZG
    Type: Dataset
    Format: application/zip, 10 datasets
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  • 38
    Publication Date: 2023-03-13
    Description: GPS track of albatros MD03i drifters with drag anchors in about 0.9m to 2.0m depth deployed during Havariekommando oil pollution combatting exercise in the offshore wind farm.
    Keywords: Helmholtz-Zentrum Geesthacht, Institute of Coastal Research; HZG
    Type: Dataset
    Format: application/zip, 4 datasets
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  • 39
    Publication Date: 2023-03-13
    Description: From 2002 to 2005 a FerryBox system was installed aboard two different ferries traveling between Cuxhaven (GE) and Harwich (UK) on a daily basis. The FerryBox system is an automated flow-through monitoring system for measuring oceanographic and biogeochemical parameters installed on ships of opportunity. The variables were recorded in a time interval of 10-20 seconds corresponding to a spatial resolution of about 100m. The dataset provides the parameters water temperature, salinity, dissolved oxygen and chlorophyll-a fluorescence. There is a longer data gap between November 2002 and August 2003 in the time series due to a change of the vessel in October 2002.
    Keywords: Coastal Observing System for Northern and Arctic Seas; COSYNA; Date/time end; Date/time start; Direction; Duchess of Scandinavia (2003-2005); FB1; FBOX; FerryBox; File name; HZG-Ferrybox_Cux-Harw-Cux; LATITUDE; Latitude 2; LONGITUDE; Longitude 2; North Sea English Channel; Transect; Transect Cuxhaven-Harwich-Cuxhaven; Uniform resource locator/link to file
    Type: Dataset
    Format: text/tab-separated-values, 5432 data points
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  • 40
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    Publication Date: 2023-03-14
    Keywords: Barium; Calcium; Chloride; Magnesium; Manganese; pH; Silicon; Sodium; Strontium; Sulfate; Temperature, water; Time in days
    Type: Dataset
    Format: text/tab-separated-values, 217 data points
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  • 41
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    PANGAEA
    Publication Date: 2023-03-14
    Keywords: Barium; Calcium; Chloride; Magnesium; Manganese; pH; Silicon; Sodium; Strontium; Sulfate; Temperature, water; Time in days
    Type: Dataset
    Format: text/tab-separated-values, 253 data points
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  • 42
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    Publication Date: 2023-03-14
    Keywords: Calcium; Magnesium; Manganese; pH; Silicon; Sodium; Temperature, water; Time in days
    Type: Dataset
    Format: text/tab-separated-values, 195 data points
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  • 43
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    PANGAEA
    Publication Date: 2023-03-14
    Keywords: Barium; Calcium; Chloride; Magnesium; Manganese; pH; Silicon; Sodium; Strontium; Sulfate; Temperature, water; Time in days
    Type: Dataset
    Format: text/tab-separated-values, 175 data points
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  • 44
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    PANGAEA
    Publication Date: 2023-03-14
    Keywords: Barium; Calcium; Chloride; Magnesium; Manganese; pH; Silicon; Sodium; Strontium; Sulfate; Temperature, water; Time in days
    Type: Dataset
    Format: text/tab-separated-values, 217 data points
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  • 45
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    PANGAEA
    Publication Date: 2023-03-14
    Keywords: Barium; Calcium; Chloride; Magnesium; Manganese; pH; Silicon; Sodium; Strontium; Sulfate; Temperature, water; Time in days
    Type: Dataset
    Format: text/tab-separated-values, 271 data points
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  • 46
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    PANGAEA
    Publication Date: 2023-03-14
    Keywords: Barium; Calcium; Chloride; Magnesium; Manganese; pH; Silicon; Sodium; Strontium; Sulfate; Temperature, water; Time in days
    Type: Dataset
    Format: text/tab-separated-values, 321 data points
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  • 47
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    PANGAEA
    Publication Date: 2023-03-14
    Keywords: Barium; Calcium; Chloride; Magnesium; Manganese; pH; Silicon; Sodium; Strontium; Sulfate; Temperature, water; Time in days
    Type: Dataset
    Format: text/tab-separated-values, 249 data points
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  • 48
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    PANGAEA
    Publication Date: 2023-03-14
    Keywords: Barium; Calcium; Chloride; Magnesium; Manganese; pH; Silicon; Sodium; Strontium; Sulfate; Temperature, water; Time in days
    Type: Dataset
    Format: text/tab-separated-values, 180 data points
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  • 49
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    PANGAEA
    Publication Date: 2023-03-14
    Keywords: Barium; Calcium; Chloride; Magnesium; Manganese; pH; Silicon; Sodium; Strontium; Sulfate; Temperature, water; Time in days
    Type: Dataset
    Format: text/tab-separated-values, 169 data points
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  • 50
    Publication Date: 2023-03-14
    Keywords: Ambystoma californiense; Ammonium; Amphibia; Area; BIO; Biology; Bufo boreas; California, USA; Carbon, organic, dissolved; Comment; Conductivity, electrolytic; Distance; Distance to landmark; East_Bay_CA; Fish; Invertebrata; Land use; Larvae; LATITUDE; LONGITUDE; Nitrogen, total; Number; Number of individuals; Number of species; ORDINAL NUMBER; Percentage; Perimeter; pH; Presence/absence; Pseudacris regilla; Rana catesbeiana; Rana draytonii; Ranavirus prevalence; Salinity; Sampling date; Site; Taricha granulosa; Taricha torosa; Total counts; Total dissolved solids; Vegetation, cover; Vertebrata
    Type: Dataset
    Format: text/tab-separated-values, 6682 data points
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  • 51
    Publication Date: 2023-03-14
    Keywords: Aluminium; AWI_PerDyn; AWI Arctic Land Expedition; Bicarbonate ion; Byk_98_MB-6.3; Calcium; Chloride; Conductivity, electrolytic; Fluoride; Height above sea level; Iron; Lena Delta, Siberia, Russia; Lena-Delta1998; Magnesium; Manganese; MULT; Multiple investigations; Nitrate; Permafrost Research (Periglacial Dynamics) @ AWI; pH; Phosphorus, total; Potassium; RU-Land_1998_Lena; Sample code/label; Sediment type; Silicate; Sodium; Strontium 2+; Sulfate
    Type: Dataset
    Format: text/tab-separated-values, 60 data points
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  • 52
    Publication Date: 2023-03-14
    Keywords: Aluminium; AWI_PerDyn; AWI Arctic Land Expedition; Bicarbonate ion; Byk_98_Mkh-1.6.1; Calcium; Chloride; Conductivity, electrolytic; Fluoride; Height above sea level; Iron; Lena Delta, Siberia, Russia; Lena-Delta1998; Magnesium; Manganese; MULT; Multiple investigations; Nitrate; Permafrost Research (Periglacial Dynamics) @ AWI; pH; Phosphorus, total; Potassium; RU-Land_1998_Lena; Sample code/label; Sediment type; Silicate; Sodium; Strontium 2+; Sulfate
    Type: Dataset
    Format: text/tab-separated-values, 20 data points
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  • 53
    Publication Date: 2023-03-14
    Keywords: Aluminium; AWI_PerDyn; AWI Arctic Land Expedition; Bicarbonate ion; Byk_98_Mkh; Calcium; Chloride; Conductivity, electrolytic; Fluoride; Height above sea level; Iron; Lena Delta, Siberia, Russia; Lena-Delta1998; Magnesium; Manganese; MULT; Multiple investigations; Nitrate; Permafrost Research (Periglacial Dynamics) @ AWI; pH; Phosphorus, total; Potassium; RU-Land_1998_Lena; Sample code/label; Sediment type; Silicate; Sodium; Strontium 2+; Sulfate
    Type: Dataset
    Format: text/tab-separated-values, 978 data points
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  • 54
    Publication Date: 2023-03-14
    Keywords: Alkalinity, total; Aluminium; Ammonium; Barium; Boron; Bromide; Calcium; Chloride; Conductivity; Copper; DEPTH, sediment/rock; Event label; GC; GeoB13918; GeoB13919; GeoB13925; GeoB13926; GeoB13928; GeoB13929; GeoB13930; GeoB13934; GeoB13939; GeoB13940; GeoB13946; GeoB13952; GeoB13953; Gravity corer; Iron; Leibniz Centre for Tropical Marine Research; Lithium; Magnesium; Manganese; Oxidation reduction (RedOx) potential; pH; Phosphorus; POS386; Poseidon; Potassium; Silicon; Sodium; Strontium; Sulfate; Sulfur; Zinc; ZMT; δ18O; δ18O, standard deviation; δ Deuterium; δ Deuterium, standard deviation
    Type: Dataset
    Format: text/tab-separated-values, 5330 data points
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  • 55
    Publication Date: 2023-03-14
    Keywords: Ammonium; Chlorophyll a; Conductivity; Event label; Indonesia; Jepara_Indonesia; LATITUDE; Leibniz Centre for Tropical Marine Research; LONGITUDE; Nitrogen oxide; Oxidation reduction (RedOx) potential; Oxygen; pH; Phosphate; Salinity; Silicate; Temperature, water; Water sample; WS; ZMT
    Type: Dataset
    Format: text/tab-separated-values, 264 data points
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  • 56
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    Publication Date: 2023-03-14
    Keywords: Barium; Calcium; Magnesium; Manganese; pH; Silicon; Sodium; Strontium; Sulfate; Temperature, water; Time in days
    Type: Dataset
    Format: text/tab-separated-values, 284 data points
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  • 57
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    PANGAEA
    Publication Date: 2023-03-14
    Keywords: Barium; Calcium; Magnesium; Manganese; pH; Silicon; Sodium; Strontium; Sulfate; Temperature, water; Time in days
    Type: Dataset
    Format: text/tab-separated-values, 298 data points
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  • 58
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    PANGAEA
    Publication Date: 2023-03-14
    Keywords: Barium; Calcium; Magnesium; Manganese; pH; Silicon; Sodium; Strontium; Sulfate; Temperature, water; Time in days
    Type: Dataset
    Format: text/tab-separated-values, 294 data points
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  • 59
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    Publication Date: 2023-03-14
    Keywords: Barium; Calcium; Chloride; Magnesium; Manganese; pH; Silicon; Sodium; Strontium; Sulfate; Temperature, water; Time in days
    Type: Dataset
    Format: text/tab-separated-values, 248 data points
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  • 60
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    Publication Date: 2023-03-14
    Keywords: Barium; Calcium; Chloride; Magnesium; Manganese; pH; Silicon; Sodium; Strontium; Sulfate; Temperature, water; Time in days
    Type: Dataset
    Format: text/tab-separated-values, 182 data points
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  • 61
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    Publication Date: 2023-03-14
    Keywords: Barium; Calcium; Chloride; Magnesium; Manganese; pH; Silicon; Sodium; Strontium; Sulfate; Temperature, water; Time in days
    Type: Dataset
    Format: text/tab-separated-values, 185 data points
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  • 62
    Publication Date: 2023-03-14
    Description: This dataset is part of a dataset collection. Please read the documentation in Kiel fjord carbonate chemistry data between 2015 (February) and 2016 (January) doi:10.1594/PANGAEA.876551 for details on sampling, measurement and data processing.
    Keywords: Alkalinity, total; Carbon, inorganic, dissolved; Carbon dioxide, partial pressure; CO2S; CO2 Sensor; DATE/TIME; DEPTH, water; interpolated; Kiel Fjord; Kiel-Fjord_GEOMAR; pH; Phosphate; Salinity; Silicate; Temperature, water
    Type: Dataset
    Format: text/tab-separated-values, 232 data points
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  • 63
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    In:  Supplement to: Lantz, Coulson A; Schulz, Kai Georg; Stoltenberg, Laura; Eyre, Bradley D (2017): The short-term combined effects of temperature and organic matter enrichment on permeable coral reef carbonate sediment metabolism and dissolution. Biogeosciences, 14(23), 5377-5391, https://doi.org/10.5194/bg-14-5377-2017
    Publication Date: 2023-03-14
    Description: Rates of gross primary production (GPP), respiration (R), and net calcification (Gnet) in coral reef sediments are expected to change in response to global warming (and the consequent increase in sea surface temperature) and coastal eutrophication (and the subsequent increase in the concentration of organic matter (OM) being filtered by permeable coral reef carbonate sediments). To date, no studies have examined the combined effect of seawater warming and OM enrichment on coral reef carbonate sediment metabolism and dissolution. This study used 22-hour in situ benthic chamber incubations to examine the combined effect of temperature (T) and OM, in the form of coral mucus and phytodetritus, on GPP, R, and Gnet in the permeable coral reef carbonate sediments of Heron Island lagoon, Australia. Compared to control incubations, both warming (+2.4 ºC) and OM increased R and GPP. Under warmed conditions, R was enhanced to a greater extent than GPP, resulting in a shift to net heterotrophy and net dissolution. Under both phytodetritus and coral mucus treatments, GPP was enhanced to a greater extent than R, resulting in a net increase in GPP/R and Gnet. The combined effect of warming and OM enhanced R and GPP, but the net effect on GPP/R and Gnet was not significantly different from control incubations. These findings show that a shift to net heterotrophy and dissolution due to short-term increases in seawater warming may be countered by a net increase GPP/R and Gnet due to short-term increases in nutrient release from OM.
    Keywords: Alkalinity, total; Aragonite saturation state; Australia; Calcification rate of calcium carbonate; Carbon, inorganic, dissolved; DATE/TIME; Gross primary production/Respiration rate ratio; Gross primary production of oxygen; Heron_Island_lagoon; Incubation duration; Net calcification rate of calcium carbonate; Net primary production of oxygen; Oxygen; pH; Respiration rate, oxygen; Time in hours; Treatment
    Type: Dataset
    Format: text/tab-separated-values, 1344 data points
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  • 64
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    In:  The University of Western Australia
    Publication Date: 2023-03-14
    Keywords: Aluminium; aqua regia digestion followed by ICP-OES; Arsenic; Barium; Beryllium; Boron; Cadmium; Calcium; Cerium; Chromium; Cobalt; Conductivity, electrical; Copper; DEPTH, sediment/rock; Gadolinium; Gallium; Germanium; Group; HAND; Iron; Lanthanum; LATITUDE; Lead; LONGITUDE; Magnesium; Manganese; measured in 1:5 solid:deionised water suspension; Molybdenum; Neodymium; Nickel; Niobium; Perth_RobertsonPark; Perth Metropolitan Region, Western Australia; pH; Phosphorus; Potassium; Sample ID; Sample mass; Sample type; Sampling by hand; Scandium; Silicon; Sodium; Strontium; Sulfur, total; Thorium; Titanium; UTM Easting, Universal Transverse Mercator; UTM Northing, Universal Transverse Mercator; Vanadium; Yttrium; Zinc; Zirconium
    Type: Dataset
    Format: text/tab-separated-values, 4327 data points
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  • 65
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    In:  Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven
    Publication Date: 2023-03-16
    Keywords: ARK-XXVI/2; DATE/TIME; Depth, bathymetric; File format; File name; File size; Hausgarten; HG_IV; LATITUDE; LONGITUDE; Long-term Investigation at AWI-Hausgarten off Svalbard; Ocean Floor Observation System; OFOS; Polarstern; PS78; PS78/143-2; Uniform resource locator/link to image
    Type: Dataset
    Format: text/tab-separated-values, 2356 data points
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  • 66
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    In:  Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven
    Publication Date: 2023-03-16
    Keywords: ARK-XXVI/2; DATE/TIME; Depth, bathymetric; File format; File name; File size; Hausgarten; LATITUDE; LONGITUDE; Long-term Investigation at AWI-Hausgarten off Svalbard; Ocean Floor Observation System; OFOS; Polarstern; PS78; PS78/185-1; Uniform resource locator/link to image
    Type: Dataset
    Format: text/tab-separated-values, 1546 data points
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  • 67
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    In:  Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven
    Publication Date: 2023-03-16
    Keywords: ARK-XXVI/2; DATE/TIME; Depth, bathymetric; File format; File name; File size; Hausgarten; LATITUDE; LONGITUDE; Long-term Investigation at AWI-Hausgarten off Svalbard; N3; Ocean Floor Observation System; OFOS; Polarstern; PS78; PS78/171-1; Uniform resource locator/link to image
    Type: Dataset
    Format: text/tab-separated-values, 1492 data points
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  • 68
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    In:  Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven
    Publication Date: 2023-03-16
    Keywords: ANT-XXXII/2; Calculated; Course; CT; DATE/TIME; LATITUDE; LONGITUDE; Polarstern; PS103; PS103-track; Speed; Underway cruise track measurements
    Type: Dataset
    Format: text/tab-separated-values, 13994 data points
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  • 69
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    In:  Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven
    Publication Date: 2023-03-16
    Keywords: ARK-XXVII/2; DATE/TIME; Depth, bathymetric; File format; File name; File size; Hausgarten; LATITUDE; LONGITUDE; Long-term Investigation at AWI-Hausgarten off Svalbard; North Greenland Sea; Ocean Floor Observation System; OFOS; Polarstern; PS80; PS80/168-1; Uniform resource locator/link to image
    Type: Dataset
    Format: text/tab-separated-values, 1831 data points
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  • 70
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    In:  Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven
    Publication Date: 2023-03-16
    Keywords: ARK-XXVI/2; DATE/TIME; Depth, bathymetric; File format; File name; File size; Hausgarten; LATITUDE; LONGITUDE; Long-term Investigation at AWI-Hausgarten off Svalbard; Ocean Floor Observation System; OFOS; Polarstern; PS78; PS78/182-1; S3; Uniform resource locator/link to image
    Type: Dataset
    Format: text/tab-separated-values, 1777 data points
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  • 71
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    In:  Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven
    Publication Date: 2023-03-16
    Keywords: ARK-XXVII/2; DATE/TIME; Depth, bathymetric; File format; File name; File size; Hausgarten; LATITUDE; LONGITUDE; Long-term Investigation at AWI-Hausgarten off Svalbard; North Greenland Sea; Ocean Floor Observation System; OFOS; Polarstern; PS80; PS80/176-1; S3; Uniform resource locator/link to image
    Type: Dataset
    Format: text/tab-separated-values, 3265 data points
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  • 72
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    In:  Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven
    Publication Date: 2023-03-16
    Keywords: ARK-XXVII/2; DATE/TIME; Depth, bathymetric; File format; File name; File size; Hausgarten; LATITUDE; LONGITUDE; Long-term Investigation at AWI-Hausgarten off Svalbard; North Greenland Sea; Ocean Floor Observation System; OFOS; Polarstern; PS80; PS80/186-5; Uniform resource locator/link to image
    Type: Dataset
    Format: text/tab-separated-values, 1425 data points
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  • 73
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    In:  Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven
    Publication Date: 2023-03-16
    Keywords: ARK-XXVII/2; DATE/TIME; Depth, bathymetric; File format; File name; File size; Hausgarten; LATITUDE; LONGITUDE; Long-term Investigation at AWI-Hausgarten off Svalbard; North Greenland Sea; Ocean Floor Observation System; OFOS; Polarstern; PS80; PS80/179-3; Uniform resource locator/link to image
    Type: Dataset
    Format: text/tab-separated-values, 5064 data points
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  • 74
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    In:  Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven
    Publication Date: 2023-03-16
    Keywords: ARK-XXVII/2; DATE/TIME; Depth, bathymetric; File format; File name; File size; Hausgarten; LATITUDE; LONGITUDE; Long-term Investigation at AWI-Hausgarten off Svalbard; North Greenland Sea; Ocean Floor Observation System; OFOS; Polarstern; PS80; PS80/196-1; Uniform resource locator/link to image
    Type: Dataset
    Format: text/tab-separated-values, 5416 data points
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  • 75
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    In:  Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven
    Publication Date: 2023-03-16
    Keywords: ANT-XXVII/2; AWI_PhyOce; AWI206-7; Current direction; Current velocity, east-west; Current velocity, horizontal; Current velocity, north-south; DATE/TIME; DEPTH, water; Gear identification number; Mooring (long time); MOORY; Physical Oceanography @ AWI; Polarstern; Pressure, water; PS77; Salinity; see comment for gear; Temperature, water; Weddell Sea
    Type: Dataset
    Format: text/tab-separated-values, 397263 data points
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  • 76
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    In:  Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven
    Publication Date: 2023-03-16
    Keywords: ANT-XXIX/2; AWI_PhyOce; AWI207-9; Current direction; Current velocity, east-west; Current velocity, horizontal; Current velocity, north-south; DATE/TIME; DEPTH, water; Gear identification number; Mooring (long time); MOORY; Physical Oceanography @ AWI; Polarstern; Pressure, water; PS81; Salinity; see comment for gear; Temperature, water; Weddell Sea
    Type: Dataset
    Format: text/tab-separated-values, 736861 data points
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  • 77
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    In:  Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven
    Publication Date: 2023-03-16
    Keywords: ANT-XXVII/2; AWI_PhyOce; AWI207-8; Current direction; Current velocity, east-west; Current velocity, horizontal; Current velocity, north-south; DATE/TIME; DEPTH, water; Gear identification number; Mooring (long time); MOORY; Physical Oceanography @ AWI; Polarstern; Pressure, water; PS77; Salinity; see comment for gear; Temperature, water; Weddell Sea
    Type: Dataset
    Format: text/tab-separated-values, 1056955 data points
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  • 78
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    In:  Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven
    Publication Date: 2023-03-16
    Keywords: ANT-XXIX/2; AWI_PhyOce; AWI209-7; DATE/TIME; DEPTH, water; Gear identification number; Mooring (long time); MOORY; Physical Oceanography @ AWI; Polarstern; Pressure, water; PS81; Salinity; see comment for gear; Temperature, water; Weddell Sea
    Type: Dataset
    Format: text/tab-separated-values, 316077 data points
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  • 79
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    In:  Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven
    Publication Date: 2023-03-16
    Keywords: ANT-XXIX/2; AWI_PhyOce; AWI208-7; DATE/TIME; DEPTH, water; Gear identification number; Mooring (long time); MOORY; Physical Oceanography @ AWI; Polarstern; Pressure, water; PS81; Salinity; see comment for gear; Temperature, water; Weddell Sea
    Type: Dataset
    Format: text/tab-separated-values, 240048 data points
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  • 80
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    In:  Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven
    Publication Date: 2023-03-16
    Keywords: ANT-XXX/2; AWI_PhyOce; AWI232-12; Current direction; Current velocity, east-west; Current velocity, horizontal; Current velocity, north-south; DATE/TIME; DEPTH, water; Gear identification number; Lazarev Sea; Mooring (long time); MOORY; Physical Oceanography @ AWI; Polarstern; Pressure, water; PS89; Salinity; see comment for gear; Temperature, water
    Type: Dataset
    Format: text/tab-separated-values, 245747 data points
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  • 81
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    In:  Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven
    Publication Date: 2023-03-16
    Keywords: ANT-XXX/2; AWI_PhyOce; AWI229-11; Current direction; Current velocity, east-west; Current velocity, horizontal; Current velocity, north-south; DATE/TIME; DEPTH, water; Gear identification number; Mooring (long time); MOORY; Physical Oceanography @ AWI; Polarstern; Pressure, water; PS89; Salinity; see comment for gear; Temperature, water; Weddell Sea
    Type: Dataset
    Format: text/tab-separated-values, 363873 data points
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  • 82
    Publication Date: 2023-03-16
    Keywords: ANT-XXXII/2; AWI_Envi; AWI_PhyOce; CT; DATE/TIME; File name; File size; LATITUDE; LONGITUDE; Physical Oceanography @ AWI; Polarstern; Polar Terrestrial Environmental Systems @ AWI; PS103; PS103-track; Underway cruise track measurements; Uniform resource locator/link to file
    Type: Dataset
    Format: text/tab-separated-values, 270 data points
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  • 83
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    In:  Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven
    Publication Date: 2023-03-16
    Keywords: ARK-XXIII/2; DATE/TIME; Depth, bathymetric; File name; Hausgarten; LATITUDE; LONGITUDE; Long-term Investigation at AWI-Hausgarten off Svalbard; MF; Multi frame; Polarstern; PS72; PS72/106-4; Speed; Uniform resource locator/link to image
    Type: Dataset
    Format: text/tab-separated-values, 1936 data points
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  • 84
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    In:  Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven
    Publication Date: 2023-03-16
    Keywords: ARK-XXIII/2; DATE/TIME; Depth, bathymetric; File name; Hausgarten; LATITUDE; LONGITUDE; Long-term Investigation at AWI-Hausgarten off Svalbard; MF; Multi frame; Polarstern; PS72; PS72/107-4; Speed; Uniform resource locator/link to image
    Type: Dataset
    Format: text/tab-separated-values, 1996 data points
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  • 85
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    In:  Supplement to: Ziemer, Corinna (2013): Modellierung des Ensembleverhaltens von sedimentierenden Hydrometeoren mittels Momentenverfahren. PhD Thesis, Elektronische Dissertationen an der Staats- und Universitätsbibliothek Bremen, Germany, 169 pp, urn:nbn:de:gbv:46-00103010-19
    Publication Date: 2023-03-16
    Description: The evolution of a hydrometeor ensemble („cloud“ ) can be described using a balance equation for its size spectrum. In numerical weather prediction or climate models, however, this approach is too time consuming. It is therefore necessary to capture, if only approximately, the on-going microphysical processes in a cloud using a parame- terised form of modelling. The parameterisation of sedimentation alone is already a demanding task. If its standard form is used in a two-moment scheme, the mean mass of the hydrometeors will be too large for a cloud physics context. Existing approaches try to avoid excessively large mean masses by altering dynamically the parameterisation assumptions in the running model. In this work, a new fundamental approach is presented: the assumption of a spectrum containing particles of all sizes is replaced by its truncation at a particle size realistic in cloud physics. The calculation of integrals over the truncated spectrum requires a new technique, which demands higher computational effort. In this work, comparisons of the new parameterisation with already existing parameterisations are made while changing the initial conditions and the advection scheme. With the new method, the parameterisation error is reduced by up to 50 %. The new paramerisation also constitutes a great improvement compared to the standard form when transferred to modelling an ensemble of solid hydrometeors. This is illustrated using a particle type commonly found in polar regions. Furthermore, for the first time a B-distribution is used as a basis for a cloud microphysics parameterisation. Its domain of definition is bounded by construction. This distribution, however, appears not suitable for use in two-moment schemes, because one free parameter has to be derived from model data. Extending the sedimentation model with drop collisions and starting with a cloud droplet spectrum, it is not possible to judge the quality of the sedimentation paramete- risations, because the coagulation rates are dominated by the choice of the sedimetation velocity for small droplets. If the initial spectrum already contains a sufficient number of raindrops, however, application of the new method again reduces the parameterisation error by up to 50 %.
    Keywords: AWI_PolarMet; Polar Meteorology @ AWI
    Type: Dataset
    Format: application/gzip, 152.7 MBytes
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  • 86
    Publication Date: 2023-03-16
    Description: Sea ice drift, surface temperature, and barometric pressure were measured by the Compact Air-Launched Ice Beacon (CALIB) 2015C7 drifting on Arctic sea ice. The buoy was deployed during the Norwegian Young sea ICE cruise (N-ICE 2015) project. The time series describes the position and additional parameters of the buoy between 20 Apr 2015 and 06 Jun 2015 in sample intervals of 1 hour. The data set has been processed, including the removal of obvious inconsistencies (missing values).
    Keywords: 2015C7; Arctic Ocean; AWI_SeaIce; Buoy, Compact Air-Launched Ice Beacon; CALIB; DATE/TIME; LATITUDE; LONGITUDE; Pressure, atmospheric; Sea Ice Physics @ AWI; Temperature, water
    Type: Dataset
    Format: text/tab-separated-values, 2278 data points
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  • 87
    Publication Date: 2023-03-16
    Description: Sea ice drift, surface temperature, and barometric pressure were measured by the Compact Air-Launched Ice Beacon (CALIB) 2015C5 drifting on Arctic sea ice. The buoy was deployed during the Norwegian Young sea ICE cruise (N-ICE 2015) project. The time series describes the position and additional parameters of the buoy between 10 Feb 2015 and 18 Mar 2015 in sample intervals of 1 hour. The data set has been processed, including the removal of obvious inconsistencies (missing values).
    Keywords: 2015C5; Arctic Ocean; AWI_SeaIce; Buoy, Compact Air-Launched Ice Beacon; CALIB; DATE/TIME; LATITUDE; LONGITUDE; Pressure, atmospheric; Sea Ice Physics @ AWI; Temperature, water
    Type: Dataset
    Format: text/tab-separated-values, 1752 data points
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  • 88
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    In:  Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven
    Publication Date: 2023-03-16
    Description: Sea ice drift and surface temperature were measured by the Compact Air-Launched Ice Beacon (CALIB) 2015C9 drifting on Arctic sea ice. The buoy was deployed on second year/multi year ice during MELTEX-II 2015 (Impact of sea ice thickness, sea ice topography and MELT ponds on the energy and momentum EXchange between atmosphere and sea ice). The time series describes the position and additional parameters of the buoy between 02 Jul 2015 and 20 Sep 2015 in sample intervals of 10 minutes. The data set has been processed, including the removal of obvious inconsistencies (missing values).
    Keywords: 2015C9; Arctic Ocean; AWI_PolarMet; Buoy, Compact Air-Launched Ice Beacon; CALIB; DATE/TIME; LATITUDE; LONGITUDE; Polar Meteorology @ AWI; Temperature, water
    Type: Dataset
    Format: text/tab-separated-values, 7049 data points
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  • 89
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    In:  Supplement to: Noerling, Caroline (2017): Short-term changes of permafrost degradation triggered by anthropogenic impacts and climatic events in Western Siberia 2010-2013. Master Thesis, University of Potsdam, 74 pp, hdl:10013/epic.51479.d001
    Publication Date: 2023-03-16
    Description: The data set presents results from geospatial analyses of a region in Central Yamal, Western Siberia, which was affected by the construction of the Bovanenkovo railway line and by high Retrogressive Thaw Slumps (RTS) occurrence in consequence of the extremely warm and wet year 2012. A change detection was performed using high resolution optical satellite images from 2010 (GeoEye-1) and 2013 (QuickBird). The preprocessing of the satellite data (orthorectification and atmospheric correction) was performed by and is described in Dvornikov et al., 2016. The degree of disturbance change from 2010 and 2013 around the railway line was classified into three major disturbance levels - low, medium and high, based on the width of disturbance and magnitude of change over the course of three years. A kernel density raster file illustrates RTS distribution. The highest disturbance along the railway can be observed, where the RTS activity is the highest in 2013.
    Keywords: AWI_Envi; AWI_PerDyn; AWI_Perma; File content; File format; File name; File size; MULT; Multiple investigations; Permafrost Research; Permafrost Research (Periglacial Dynamics) @ AWI; Polar Terrestrial Environmental Systems @ AWI; Uniform resource locator/link to file; Vaskiny_Dachi_Area; Vaskiny Dachi, Yamal Peninsula, West Siberia, Russian Federation
    Type: Dataset
    Format: text/tab-separated-values, 20 data points
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  • 90
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    In:  Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven
    Publication Date: 2023-03-16
    Keywords: ANT-XXXII/2; AWI_SeaIce; Cloudiness; CT; DATE/TIME; Floe size; Ice coverage; Ice type; LATITUDE; LONGITUDE; Meteorological observation according to ASPeCt protocol; Open water type; Polarstern; PS103; PS103-track; Sea ice observation according to ASPeCt protocol; Sea Ice Physics @ AWI; Sea ice thickness; Sea ice topography; Snow thickness; Snow type; Temperature, air; Temperature, water; Underway cruise track measurements; Uniform resource locator/link to image; Visibility; Weather; Wind direction; Wind speed
    Type: Dataset
    Format: text/tab-separated-values, 1175 data points
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  • 91
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    In:  Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven
    Publication Date: 2023-03-16
    Keywords: ARK-XIX/3a; AWI_Paleo; Celtic Sea; Depth, bottom/max; DEPTH, sediment/rock; Depth, top/min; Grain size, SEDIGRAPH 5100; MUC; MultiCorer; Paleoenvironmental Reconstructions from Marine Sediments @ AWI; Polarstern; PS64; PS64/235-3; Size fraction 0.523-0.488 µm, 10.9-11.0 phi; Size fraction 0.561-0.523 µm, 10.8-10.9 phi; Size fraction 0.601-0.561 µm, 10.7-10.8 phi; Size fraction 0.644-0.601 µm, 10.6-10.7 phi; Size fraction 0.691-0.644 µm, 10.5-10.6 phi; Size fraction 0.740-0.691 µm, 10.4-10.5 phi; Size fraction 0.793-0.740 µm, 10.3-10.4 phi; Size fraction 0.850-0.793 µm, 10.2-10.3 phi; Size fraction 0.911-0.850 µm, 10.1-10.2 phi; Size fraction 0.977-0.911 µm, 10.0-10.1 phi; Size fraction 1.047-0.977 µm, 9.9-10.0 phi; Size fraction 1.122-1.047 µm, 9.8-9.9 phi; Size fraction 1.202-1.122 µm, 9.7-9.8 phi; Size fraction 1.289-1.202 µm, 9.6-9.7 phi; Size fraction 1.381-1.289 µm, 9.5-9.6 phi; Size fraction 1.480-1.381 µm, 9.4-9.5 phi; Size fraction 1.586-1.480 µm, 9.3-9.4 phi; Size fraction 1.700-1.586 µm, 9.2-9.3 phi; Size fraction 1.822-1.700 µm, 9.1-9.2 phi; Size fraction 1.953-1.822 µm, 9.0-9.1 phi; Size fraction 10.309-9.618 µm, 6.6-6.7 phi; Size fraction 11.049-10.309 µm, 6.5-6.6 phi; Size fraction 11.842-11.049 µm, 6.4-6.5 phi; Size fraction 12.691-11.842 µm, 6.3-6.4 phi; Size fraction 13.602-12.691 µm, 6.2-6.3 phi; Size fraction 14.579-13.602 µm, 6.1-6.2 phi; Size fraction 15.625-14.579 µm, 6.0-6.1 phi; Size fraction 16.746-15.625 µm, 5.9-6.0 phi; Size fraction 17.948-16.746 µm, 5.8-5.9 phi; Size fraction 19.237-17.948 µm, 5.7-5.8 phi; Size fraction 2.093-1.953 µm, 8.9-9.0 phi; Size fraction 2.244-2.093 µm, 8.8-8.9 phi; Size fraction 2.405-2.244 µm, 8.7-8.8 phi; Size fraction 2.577-2.405 µm, 8.6-8.7 phi; Size fraction 2.762-2.577 µm, 8.5-8.6 phi; Size fraction 2.960-2.762 µm, 8.4-8.5 phi; Size fraction 20.617-19.237 µm, 5.6-5.7 phi; Size fraction 22.097-20.617 µm, 5.5-5.6 phi; Size fraction 23.683-22.097 µm, 5.4-5.5 phi; Size fraction 25.383-23.683 µm, 5.3-5.4 phi; Size fraction 27.205-25.383 µm, 5.2-5.3 phi; Size fraction 29.157-27.205 µm, 5.1-5.2 phi; Size fraction 3.173-2.960 µm, 8.3-8.4 phi; Size fraction 3.401-3.173 µm, 8.2-8.3 phi; Size fraction 3.645-3.401 µm, 8.1-8.2 phi; Size fraction 3.906-3.645 µm, 8.0-8.1 phi; Size fraction 31.250-29.157 µm, 5.0-5.1 phi; Size fraction 33.493-31.250 µm, 4.9-5.0 phi; Size fraction 35.897-33.493 µm, 4.8-4.9 phi; Size fraction 38.473-35.897 µm, 4.7-4.8 phi; Size fraction 4.187-3.906 µm, 7.9-8.0 phi; Size fraction 4.487-4.187 µm, 7.8-7.9 phi; Size fraction 4.809-4.487 µm, 7.7-7.8 phi; Size fraction 41.235-38.473 µm, 4.6-4.7 phi; Size fraction 44.194-41.235 µm, 4.5-4.6 phi; Size fraction 47.366-44.194 µm, 4.4-4.5 phi; Size fraction 5.154-4.809 µm, 7.6-7.7 phi; Size fraction 5.524-5.154 µm, 7.5-7.6 phi; Size fraction 5.921-5.524 µm, 7.4-7.5 phi; Size fraction 50.766-47.366 µm, 4.3-4.4 phi; Size fraction 54.409-50.766 µm, 4.2-4.3 phi; Size fraction 58.315-54.409 µm, 4.1-4.2 phi; Size fraction 6.346-5.921 µm, 7.3-7.4 phi; Size fraction 6.801-6.346 µm, 7.2-7.3 phi; Size fraction 62.500-58.315 µm, 4.0-4.1 phi; Size fraction 7.289-6.801 µm, 7.1-7.2 phi; Size fraction 7.813-7.289 µm, 7.0-7.1 phi; Size fraction 8.373-7.813 µm, 6.9-7.0 phi; Size fraction 8.974-8.373 µm, 6.8-6.9 phi; Size fraction 9.618-8.974 µm, 6.7-6.8 phi
    Type: Dataset
    Format: text/tab-separated-values, 1368 data points
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  • 92
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    In:  Supplement to: Ziemer, Corinna; Wacker, Ulrike (2012): Parameterization of the Sedimentation of Raindrops with Finite Maximum Diameter. Monthly Weather Review, 140(5), 1589-1602, https://doi.org/10.1175/MWR-D-11-00020.1
    Publication Date: 2023-03-16
    Description: In common cloud microphysics parameterization models, the prognostic variables are one to three moments of the drop size distribution function. They are defined as integrals of the distribution function over a drop diameter ranging from zero to infinity. Recent works (by several authors) on a one-dimensional sedimentation problem have pointed out that there are problems with those parameterization models caused by the differing average propagation speeds of the prognostic moments. In this study, the authors propose to define the moments over a finite drop diameter range of [0, Dmax], corresponding to the limitation of drop size in nature. The ratios of the average propagation speeds are thereby also reduced. In the new model, mean particle masses above a certain threshold depending on Dmax lead to mathematical problems, which are solved by a mirroring technique. An identical, one-dimensional sedimentation problem for two moments is used to analyze the sensitivity of the results to the maximum drop diameter and to compare the proposed method with recent works. It turns out that Dmax has a systematic influence on the model's results. A small, finite maximum drop diameter leads to a better representation of the moments and the mean drop mass when compared to the detailed microphysical model.
    Keywords: AWI_PolarMet; Polar Meteorology @ AWI
    Type: Dataset
    Format: application/gzip, 23.6 MBytes
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  • 93
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    In:  Supplement to: Riechelmann, Theres; Wacker, Ulrike; Beheng, Klaus D; Etling, Dieter; Raasch, Siegfried (2015): Influence of turbulence on the drop growth in warm clouds, Part II: Sensitivity studies with a spectral bin microphysics and a Lagrangian cloud model. Meteorologische Zeitschrift, 24(3), 293-311, https://doi.org/10.1127/metz/2015/0608
    Publication Date: 2023-03-16
    Description: Raindrops in warm clouds grow faster than predicted by classical cloud models. One of the possible reasons for this discrepancy is the influence of cloud turbulence on the coagulation process. In Part I (Siewert et al., 2014, doi:10.1127/0941-2948/2014/0566) of this paper series, a turbulent collision kernel has been derived from wind tunnel experiments and direct numerical simulations (DNS). Here we use this new collision kernel to investigate the influence of turbulence on coagulation and rain formation using two models of different complexity: a one-dimensional model called RAINSHAFT (height as coordinate) with cloud microphysics treated by a spectral bin model (BIN) and a large-eddy simulation (LES) model with cloud microphysics treated by Lagrangian particles (a so called Lagrangian Cloud Model, LCM). Simulations are performed for the case of no turbulence and for two situations with moderate and with extremely strong turbulence. The idealized 0- and 1-dimensional runs show, that large drops grow faster in the case turbulence is taken into account in the cloud microphysics, as was also found by earlier investigations of other groups. For moderate turbulence intensity, the acceleration is only weak, while it is more significant for strong turbulence. From the model intercomparison it turns out, that the BIN model produced large drops much faster than the LCM, independent of turbulence intensity. The differences are larger than those due to a variation in turbulence intensities. The diverging rate of formation of large drops is due to the use of different growth models for the coagulation process, i.e. the quasi-stochastic model in the spectral BIN model and the continuous growth model in LCM. From the results of this model intercomparison it is concluded, that the coagulation process has to be improved in future versions of the LCM. The LES-LCM model was also applied to the simulation of a single 3-D cumulus cloud. It turned out, that the effect of turbulence on drop formation was even smaller as the turbulence within the cloud was weaker than prescribed in the idealized cases. In summary, the use of the new turbulent collision kernel derived in Part I does enhance rain formation under typical turbulence conditions found in natural clouds but the effect is not very striking.
    Keywords: AWI_PolarMet; Polar Meteorology @ AWI
    Type: Dataset
    Format: application/gzip, 10.7 MBytes
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  • 94
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    In:  Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven
    Publication Date: 2023-03-16
    Keywords: ARK-XXIII/2; DATE/TIME; Depth, bathymetric; File name; Hausgarten; LATITUDE; LONGITUDE; Long-term Investigation at AWI-Hausgarten off Svalbard; MF; Multi frame; Polarstern; PS72; PS72/118-6; Speed; Uniform resource locator/link to image
    Type: Dataset
    Format: text/tab-separated-values, 2172 data points
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  • 95
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    In:  Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven
    Publication Date: 2023-03-16
    Keywords: ARK-XXIII/2; DATE/TIME; Depth, bathymetric; File name; Hausgarten; LATITUDE; LONGITUDE; Long-term Investigation at AWI-Hausgarten off Svalbard; MF; Multi frame; Polarstern; PS72; PS72/122-3; Speed; Uniform resource locator/link to image
    Type: Dataset
    Format: text/tab-separated-values, 96 data points
    Location Call Number Expected Availability
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  • 96
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    Unknown
    PANGAEA
    In:  Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven
    Publication Date: 2023-03-16
    Keywords: ARK-XXIII/2; DATE/TIME; Depth, bathymetric; File name; Hausgarten; LATITUDE; LONGITUDE; Long-term Investigation at AWI-Hausgarten off Svalbard; MF; Multi frame; Polarstern; PS72; PS72/137-4; Speed; Uniform resource locator/link to image
    Type: Dataset
    Format: text/tab-separated-values, 2296 data points
    Location Call Number Expected Availability
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  • 97
    facet.materialart.
    Unknown
    PANGAEA
    In:  Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven
    Publication Date: 2023-03-16
    Keywords: ARK-XXII/1c; DATE/TIME; Depth, bathymetric; File name; Hausgarten; LATITUDE; LONGITUDE; Long-term Investigation at AWI-Hausgarten off Svalbard; N3; North Greenland Sea; Ocean Floor Observation System; OFOS; Polarstern; PS70; PS70/202-1; Speed; Uniform resource locator/link to image
    Type: Dataset
    Format: text/tab-separated-values, 3020 data points
    Location Call Number Expected Availability
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  • 98
    facet.materialart.
    Unknown
    PANGAEA
    In:  Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven
    Publication Date: 2023-03-16
    Keywords: ARK-XXII/1c; DATE/TIME; Depth, bathymetric; File name; Hausgarten; LATITUDE; LONGITUDE; Long-term Investigation at AWI-Hausgarten off Svalbard; North Greenland Sea; Ocean Floor Observation System; OFOS; Polarstern; PS70; PS70/164-1; S3; Speed; Uniform resource locator/link to image
    Type: Dataset
    Format: text/tab-separated-values, 2080 data points
    Location Call Number Expected Availability
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  • 99
    facet.materialart.
    Unknown
    PANGAEA
    In:  Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven
    Publication Date: 2023-03-16
    Keywords: ARK-XXIII/2; DATE/TIME; Depth, bathymetric; File name; Hausgarten; LATITUDE; LONGITUDE; Long-term Investigation at AWI-Hausgarten off Svalbard; MF; Multi frame; Polarstern; PS72; PS72/140-1; Speed; Uniform resource locator/link to image
    Type: Dataset
    Format: text/tab-separated-values, 3192 data points
    Location Call Number Expected Availability
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  • 100
    facet.materialart.
    Unknown
    PANGAEA
    In:  Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven
    Publication Date: 2023-03-16
    Keywords: ARK-XXII/1c; DATE/TIME; Depth, bathymetric; File name; Hausgarten; LATITUDE; LONGITUDE; Long-term Investigation at AWI-Hausgarten off Svalbard; North Greenland Sea; Ocean Floor Observation System; OFOS; Polarstern; PS70; PS70/207-1; Speed; Uniform resource locator/link to image
    Type: Dataset
    Format: text/tab-separated-values, 3140 data points
    Location Call Number Expected Availability
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