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  • PANGAEA  (469)
  • American Geophysical Union (AGU)
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  • 1
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    Construction plan of the tide gauge (1885)
    PANGAEA
    In:  EPIC3Report of the International Polar Expedition to Point Barrow, Alaska, Washington: Government Printing Office, 695 pp, hdl:10013/epic.30581.d001., Bremerhaven, PANGAEA
    Details
    Publication Date: 2019-07-17
    Repository Name: EPIC Alfred Wegener Institut
    Type: PANGAEA Documentation , notRev
    Format: application/pdf
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  • 2
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    The Role of Coastal Yedoma Deposits and Continental Shelf Sediments in the Arctic Ocean Silicon Cycle (2024)
    American Geophysical Union (AGU)
    In:  EPIC3Global Biogeochemical Cycles, American Geophysical Union (AGU), 38(1), ISSN: 0886-6236
    Details
    Publication Date: 2024-02-13
    Description: The availability of silicon (Si) in the ocean plays an important role in regulating biogeochemical and ecological processes. The Si budget of the Arctic Ocean appears balanced, with inputs equivalent to outputs, though it is unclear how a changing climate might aggravate this balance. In this study, we focus on Si cycling in Arctic coastal areas and continental shelf sediments to better constrain the Arctic Ocean Si budget. We provide the first estimate of amorphous Si (ASi) loading from erosion of coastal Yedoma deposits (30–90 Gmol yr−1), demonstrating comparable rates to particulate Si loading from rivers (10–90 Gmol yr−1). We found a positive relationship between surface sediment ASi and organic matter content on continental shelves. Combining these values with published Arctic shelf sediment properties and burial rates we estimate 70 Gmol Si yr−1 is buried on Arctic continental shelves, equivalent to 4.5% of all Si inputs to the Arctic Ocean. Sediment dissolved Si fluxes increased with distance from river mouths along cruise transects of shelf regions influenced by major rivers in the Laptev and East Siberian seas. On an annual basis, we estimate that Arctic shelf sediments recycle approximately up to twice as much DSi (680 Gmol Si) as is loaded from rivers (340–500 Gmol Si).
    Repository Name: EPIC Alfred Wegener Institut
    Type: Article , isiRev
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  • 3
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    Drought risk assessment as changes in the potential stand yield classes and potential forest production for Sitka spruce, Scots pine, and pedunculate oak over the next 80 years in the Great Britain (2013)
    PANGAEA
    In:  Supplement to: Petr, Michal; Boerboom, Luc G J; van der Veen, Anne; Ray, Duncan (2014): A spatial and temporal drought risk assessment of three major tree species in Britain using probabilistic climate change projections. Climatic Change, 124(4), 791-803, https://doi.org/10.1007/s10584-014-1122-3
    Details
    Publication Date: 2023-01-13
    Description: Probabilistic climate data have become available for the first time through the UK Climate Projections 2009, so that the risk of tree growth change can be quantified. We assess the drought risk spatially and temporally using drought probabilities and tree species vulnerabilities across Britain. We assessed the drought impact on the potential yield class of three major tree species (Picea sitchensis, Pinus sylvestris, and Quercus robur) which presently cover around 59% (400,700 ha) of state-managed forests, across lowland and upland sites. Here we show that drought impacts result mostly in reduced tree growth over the next 80 years when using b1, a1b and a1fi IPCC emissions scenarios. We found a maximum reduction of 94% but also a maximum increase of 56% in potential stand yield class in the 2080s from the baseline climate (1961-1990). Furthermore, potential production over the national forest estate for all three species in the 2080s may decrease due to drought by 42% in the lowlands and 32% in the uplands in comparison to the baseline climate. Our results reveal that potential tree growth and forest production on the national forest estate in Britain is likely to reduce, and indicate where and when adaptation measures are required. Moreover, this paper demonstrates the value of probabilistic climate projections for an important economic and environmental sector.
    Type: Dataset
    Format: application/vnd.openxmlformats-officedocument.spreadsheetml.sheet, 51 kBytes
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  • 4
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    Part of the global seawater delta oxygen-18 database from reference Weiss 1979 (2001)
    PANGAEA
    Details
    Publication Date: 2023-02-12
    Keywords: DATE/TIME; DEPTH, water; LATITUDE; LONGITUDE; OCE; Oceanography; Salinity; Temperature, water, potential; Weiss1979; δ18O, water; δ Deuterium
    Type: Dataset
    Format: text/tab-separated-values, 246 data points
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  • 5
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    Table 4. Trace gas concentrations from samples taken at Ginninderra (2015)
    PANGAEA
    In:  Supplement to: Zoe, Loh; Leuning, Ray; Zegelin, Steve; Etheridge, David; Bai, Jia-Chi; Naylor, Travis A; Griffith, David W T (2009): Testing Lagrangian atmospheric dispersion modelling to monitor CO2 and CH4 leakage from geosequestration. Atmospheric Environment, 43(16), 2602-2611, https://doi.org/10.1016/j.atmosenv.2009.01.053
    Details
    Publication Date: 2023-02-24
    Description: We assess the performance of an inverse Lagrangian dispersion technique for its suitability to quantify leakages from geological storage of CO2. We find the technique is accurate ((QbLS/Q)=0.99, sigma=0.29) when strict meteorological filtering is applied to ensure that Monin–Obukhov Similarity Theory is valid for the periods analysed and when downwind enrichments in tracer gas concentration are 1% or more above background concentration. Because of their respective baseline atmospheric concentrations, this enrichment criterion is less onerous for CH4 than for CO2. Therefore for geologically sequestered gas reservoirs with a significant CH4 component, monitoring CH4 as a surrogate for CO2 leakage could be as much as 10 times more sensitive than monitoring CO2 alone. Additional recommendations for designing a robust atmospheric monitoring strategy for geosequestration include: continuous concentration data; exact inter-calibration of up- and downwind concentration measurements; use of an array of point concentration sensors to maximise the use of spatial information about the leakage plume; and precise isotope ratio measurement to confirm the source of any concentration elevations detected.
    Keywords: Canberra, Australia; Carbon dioxide; CSIRO farm; DATE/TIME; ECO2; ELEVATION; Ginninderra; Line; Methane; Sample code/label; Sub-seabed CO2 Storage: Impact on Marine Ecosystems; δ13C, carbon dioxide, atmospheric; δ13C, methane, atmospheric
    Type: Dataset
    Format: text/tab-separated-values, 35 data points
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  • 6
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    (Page 204-331) Monthly mean surface meteorology at station Point Barrow
    PANGAEA
    Details
    Publication Date: 2023-05-12
    Keywords: Anemometer; BARO; Barometer; Cloud cover, monthly mean; DATE/TIME; Humidity, relative, monthly mean; HYGRO; Hygrometer; International Polar Year 1881-1884; IPY-1; OBSE; Observation; Point_Barrow; Precipitation, monthly total; Rain gauge; Station pressure, monthly mean; Temperature, air, monthly mean; Thermometer; United States of America; Visual observation; Wind speed, monthly mean
    Type: Dataset
    Format: text/tab-separated-values, 138 data points
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  • 7
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    (Page 204-331) Hourly meteorological observations at the polar station Point Barrow, Alaska
    PANGAEA
    Details
    Publication Date: 2023-05-12
    Keywords: Anemometer; BARO; Barometer; Calculated from cloud direction description; Calculated from wind direction description; Cloud cover; Cloud direction; Cloud direction description; Cloud type; DATE/TIME; Humidity, relative; HYGRO; Hygrometer; International Polar Year 1881-1884; IPY-1; OBSE; Observation; Point_Barrow; Precipitation integrated; Rain gauge; Station pressure; Temperature, air; Thermometer; United States of America; Visual observation; Wind direction; Wind direction description; Wind speed
    Type: Dataset
    Format: text/tab-separated-values, 147967 data points
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  • 8
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    (Page 332-335) Statement showing the solar radiation at Uglaamie from February, 1883, to August, 1883
    PANGAEA
    Details
    Publication Date: 2023-05-12
    Keywords: Calculated; DATE/TIME; Difference; International Polar Year 1881-1884; IPY-1; OBSE; Observation; Point_Barrow; Present weather; Temperature, technical; Thermometer; United States of America; Visual observation
    Type: Dataset
    Format: text/tab-separated-values, 1424 data points
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  • 9
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    Hydrographic measurements during the GEOSECS Indian Ocean expedition
    PANGAEA
    Details
    Publication Date: 2023-05-12
    Keywords: Bottle number; Campaign of event; Cast number; Comment; CTD/Rosette; CTD-RO; Date/Time of event; DEPTH, water; Elevation of event; Event label; Gear; Geochemical Ocean Sections Study; GEOSECS; GEOSECS_Indian_Ocean_3; GEOSECS_Indian_Ocean_4; GEOSECS_Indian_Ocean_5; GEOSECS_Indian_Ocean_6; GEOSECS_Indian_Ocean_7; GEOSECS403; GEOSECS404; GEOSECS405; GEOSECS407; GEOSECS408; GEOSECS409; GEOSECS410; GEOSECS411; GEOSECS412; GEOSECS413; GEOSECS414; GEOSECS415; GEOSECS416; GEOSECS417; GEOSECS418; GEOSECS419; GEOSECS420; GEOSECS421; GEOSECS422; GEOSECS423; GEOSECS424; GEOSECS425; GEOSECS426; GEOSECS427; GEOSECS428; GEOSECS429; GEOSECS430; GEOSECS431; GEOSECS432; GEOSECS433; GEOSECS434; GEOSECS435; GEOSECS436; GEOSECS437; GEOSECS438; GEOSECS439; GEOSECS440; GEOSECS441; GEOSECS442; GEOSECS443; GEOSECS444; GEOSECS445; GEOSECS446; GEOSECS447; GEOSECS448; GEOSECS449; GEOSECS450; GEOSECS451; GEOSECS452; GEOSECS453; GEOSECS454; Indian Ocean; Latitude of event; Leg 3; Leg 4; Leg 5; Leg 6; Leg 7; Longitude of event; Melville; Nitrate; Oxygen; Phosphate; Pressure, water; Salinity; Silicate; Temperature, water
    Type: Dataset
    Format: text/tab-separated-values, 24281 data points
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  • 10
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    Underway physical oceanography and carbon dioxide measurements during POLARSTERN cruise ANT-V/3
    PANGAEA
    In:  Carbon Dioxide Information Analysis Center, Oak Ridge National Laboratory
    Details
    Publication Date: 2023-06-10
    Keywords: 06AQ19860928-track; ANT-V/3; CT; DATE/TIME; Depth, bathymetric, interpolated/gridded; DEPTH, water; extracted from the 2-Minute Gridded Global Relief Data (ETOPO2); extracted from the NCEP/NCAR 40-Year Reanalysis Project; extracted from the World Ocean Atlas 2005; Fugacity of carbon dioxide (water) at sea surface temperature (wet air); LATITUDE; LONGITUDE; Polarstern; Pressure, atmospheric; Pressure, atmospheric, interpolated; PS10 WWSP86; Recomputed after SOCAT (Pfeil et al., 2013); Salinity, interpolated; SOCAT; Surface Ocean CO2 Atlas Project; Temperature, water; Underway cruise track measurements; xCO2 (water) at sea surface temperature (dry air)
    Type: Dataset
    Format: text/tab-separated-values, 19536 data points
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