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  • 1
    Electronic Resource
    Electronic Resource
    Calculation of melt pond albedos on arctic sea ice (1996)
    Oxford, UK : Blackwell Publishing Ltd
    Polar research 15 (1996), S. 0 
    Details
    ISSN: 1751-8369
    Source: Blackwell Publishing Journal Backfiles 1879-2005
    Topics: Geography , Geosciences
    Notes: An analytical approximation of spectral albedo is derived for a melt pond with a Lambertian bottom assuming that Rayleigh scattering in the water is small compared to absorption. A Monte Carlo method is used to verify that scattering can he ignored in the water. This enables us to calculate pond albedos in the 400–700 nm wavelength hand using the analytical approximation. Model calculations and observations indicate that a step-decrease in albedo is likely t o occur when a melt pond initially forms, and melt pond albedos in the visible depend more on the structural and optical properties of the bottom than on the depth of the pond.
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1111/j.1751-8369.1996.tb00457.x
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    Paper (German National Licenses)
    Fulltext
  • 2
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    Ship track from drifting with sea ice during R/V Akademik Treshnikov cruise Transarktika 2019, April 2019 (2021)
    PANGAEA
    Details
    Publication Date: 2023-01-30
    Description: The ship-based experiment Transarktika 2019 was performed during April 2019 in the area between Svalbard and Franz Josef Land. The R/V “Akademik Treshnikov” drifted during this month with the sea ice. Ship positions are given as 1h data.
    Keywords: Akademik Tryoshnikov; Arctic; AT-2019; CATS; CATS - The Changing Arctic Transpolar System; CT; DATE/TIME; LATITUDE; LONGITUDE; Sea ice; Transarktika-2019; Transarktika-2019_track_drift; Underway cruise track measurements
    Type: Dataset
    Format: text/tab-separated-values, 0 data points
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  • 3
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    Temperature profiler data during sea ice drifting of R/V Akademik Treshnikov cruise Transarktika 2019, April 2019 (2021)
    PANGAEA
    Details
    Publication Date: 2023-01-30
    Description: The ship-based experiment Transarktika 2019 was performed during April 2019 in the area between Svalbard and Franz Josef Land. The R/V "Akademik Treshnikov" drifted during this month with the sea ice. A meteorological temperature profiler was installed on the second open deck of R/V "Akademik Treshnikov" at the height 30 m.
    Keywords: Akademik Tryoshnikov; ALTITUDE; Arctic; AT-2019; CATS; CATS - The Changing Arctic Transpolar System; CT; DATE/TIME; Julian day; Sea ice; Temperature, air; Temperature profiler MTP-5PE, ATTEX; Transarktika-2019; Transarktika-2019_track_drift; Underway cruise track measurements
    Type: Dataset
    Format: text/tab-separated-values, 39300 data points
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  • 4
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    Meteorological data of a 10m-tower during sea ice drifting of R/V Akademik Treshnikov cruise Transarktika 2019, April 2019 (2021)
    PANGAEA
    Details
    Publication Date: 2023-01-30
    Description: The ship-based experiment Transarktika 2019 was performed during April 2019 in the area between Svalbard and Franz Josef Land. The R/V "Akademik Treshnikov" drifted during this month with the sea ice. During the drift a meteorological site was installed including a 10m-tower at a distance of 350 m from the vessel.
    Keywords: Akademik Tryoshnikov; Arctic; Arctic Ocean; AT-2019; CATS; CATS - The Changing Arctic Transpolar System; DATE/TIME; HEIGHT above ground; Humidity, relative; Humidity-Temperature probe, Vaisala, HMP155; Julian day; Long-wave downward radiation; Long-wave upward radiation; Net radiometer, Kipp & Zonen, CNR4, SN 181926; Pressure, atmospheric; Propeller-vane anemometer, 05108-45, RM Young; Sea ice; Short-wave downward (GLOBAL) radiation; Short-wave upward (REFLEX) radiation; Temperature, air; Transarktika-2019; Transarktika-2019_tower; Vaisala PTB110 barometer; Weather station/meteorological observation; Wind speed at 10 m height; WST
    Type: Dataset
    Format: text/tab-separated-values, 9352 data points
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  • 5
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    Integrated water vapour sensor data during sea ice drifting of R/V Akademik Treshnikov cruise Transarktika 2019, April 2019 (2021)
    PANGAEA
    Details
    Publication Date: 2023-01-30
    Description: The ship-based experiment Transarktika 2019 was performed during April 2019 in the area between Svalbard and Franz Josef Land. The R/V "Akademik Treshnikov" drifted during this month with the sea ice. A water vapor radiometer was installed on the second open deck of R/V "Akademik Treshnikov" at the height 30 m.
    Keywords: Akademik Tryoshnikov; Arctic; AT-2019; CATS; CATS - The Changing Arctic Transpolar System; CT; DATE/TIME; Julian day; Sea ice; Transarktika-2019; Transarktika-2019_track_drift; Underway cruise track measurements; Water vapor radiometer, RVP, IPA-RAS; Water vapour content, integrated
    Type: Dataset
    Format: text/tab-separated-values, 1440 data points
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  • 6
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    Radiosonde measurements during R/V Akademik Treshnikov cruise Transarktika 2019, April 2019 (2021)
    PANGAEA
    Details
    Publication Date: 2023-02-12
    Description: The ship-based experiment Transarktika 2019 was performed during April 2019 in the area between Svalbard and Franz Josef Land. The R/V "Akademik Treshnikov" drifted during this month with the sea ice. Radiosoundings were carried out twice-daily.
    Keywords: Akademik Tryoshnikov; ALTITUDE; Arctic; Arctic Ocean; AT-2019; CATS; CATS - The Changing Arctic Transpolar System; Date/Time of event; Dew/frost point; Dew point, deficit; Event label; Humidity, relative; Humidity, specific; Pressure, at given altitude; RADIO; Radiosonde; Radiosonde, Radii, Polus-M; Sea ice; Temperature, air; Temperature, air, potential; Transarktika-2019; Transarktika-2019_RS_2019-04-01_2348; Transarktika-2019_RS_2019-04-02_1131; Transarktika-2019_RS_2019-04-02_2329; Transarktika-2019_RS_2019-04-03_1136; Transarktika-2019_RS_2019-04-03_2332; Transarktika-2019_RS_2019-04-04_1131; Transarktika-2019_RS_2019-04-04_2332; Transarktika-2019_RS_2019-04-05_1129; Transarktika-2019_RS_2019-04-05_2332; Transarktika-2019_RS_2019-04-06_1128; Transarktika-2019_RS_2019-04-06_2331; Transarktika-2019_RS_2019-04-07_1131; Transarktika-2019_RS_2019-04-07_2332; Transarktika-2019_RS_2019-04-08_1135; Transarktika-2019_RS_2019-04-08_2350; Transarktika-2019_RS_2019-04-09_1125; Transarktika-2019_RS_2019-04-09_2330; Transarktika-2019_RS_2019-04-10_1127; Transarktika-2019_RS_2019-04-11_0002; Transarktika-2019_RS_2019-04-11_1126; Transarktika-2019_RS_2019-04-11_2328; Transarktika-2019_RS_2019-04-12_1126; Transarktika-2019_RS_2019-04-12_2325; Transarktika-2019_RS_2019-04-13_1128; Transarktika-2019_RS_2019-04-13_2329; Transarktika-2019_RS_2019-04-14_1129; Transarktika-2019_RS_2019-04-14_2329; Transarktika-2019_RS_2019-04-15_1125; Transarktika-2019_RS_2019-04-15_2324; Transarktika-2019_RS_2019-04-16_1125; Transarktika-2019_RS_2019-04-16_2325; Transarktika-2019_RS_2019-04-17_1131; Transarktika-2019_RS_2019-04-17_2326; Transarktika-2019_RS_2019-04-18_1135; Transarktika-2019_RS_2019-04-18_2326; Transarktika-2019_RS_2019-04-19_1129; Transarktika-2019_RS_2019-04-19_2327; Transarktika-2019_RS_2019-04-20_1126; Transarktika-2019_RS_2019-04-20_2325; Transarktika-2019_RS_2019-04-21_1126; Transarktika-2019_RS_2019-04-21_2326; Transarktika-2019_RS_2019-04-22_1129; Transarktika-2019_RS_2019-04-22_2339; Transarktika-2019_RS_2019-04-23_1126; Transarktika-2019_RS_2019-04-23_2326; Transarktika-2019_RS_2019-04-24_1133; Transarktika-2019_RS_2019-04-24_2327; Transarktika-2019_RS_2019-04-25_1133; Transarktika-2019_RS_2019-04-25_2327; Transarktika-2019_RS_2019-04-26_1131; Transarktika-2019_RS_2019-04-26_2327; Transarktika-2019_RS_2019-04-27_1128; Transarktika-2019_RS_2019-04-27_2325; Transarktika-2019_RS_2019-04-28_1141; Transarktika-2019_RS_2019-04-28_2338; Wind direction; Wind speed; Wind velocity, south-north; Wind velocity, west-east
    Type: Dataset
    Format: text/tab-separated-values, 63180 data points
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  • 7
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    Meteorological data of the Transarktika 2019 expedition, April 2019 (2021)
    PANGAEA
    Details
    Publication Date: 2024-04-20
    Description: The ship-based experiment Transarktika 2019 was performed during April 2019 in the area between Svalbard and Franz Josef Land. The R/V "Akademik Treshnikov" drifted during this month with the sea ice. During the drift a meteorological site was installed including a 10m-tower at a distance of 350 m from the vessel. A meteorological temperature profiler and a water vapor radiometer were installed on the second open deck of R/V "Akademik Treshnikov" at the height 30 m. Radiosoundings were carried out twice-daily. The regional climate model COSMO-CLM (CCLM) was used with a horizontal resolution of 5 km for the Barents and Kara Sea. Model output is available every 1 h. In the vertical, the model extends up to 22 km with 60 vertical levels. Sea ice concentration was taken from AMSR2 data. Sea ice thickness was prescribed daily from interpolated Pan-Arctic Ice Ocean Modeling and Assimilation System (PIOMAS) fields.
    Keywords: Arctic; CATS; CATS - The Changing Arctic Transpolar System; regional climate model; Sea ice; verification
    Type: Dataset
    Format: application/zip, 6 datasets
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  • 8
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    Model output of regional climate model COSMO-CLM, Barents and Kara Sea (2021)
    PANGAEA
    Details
    Publication Date: 2024-04-20
    Description: The regional climate model COSMO-CLM (CCLM) was used with a horizontal resolution of 5 km for the Barents and Kara Sea. Model output is available every 1 h. In the vertical, the model extends up to 22 km with 60 vertical levels. Sea ice concentration was taken from AMSR2 data. Sea ice thickness was prescribed daily from interpolated Pan-Arctic Ice Ocean Modeling and Assimilation System (PIOMAS) fields.
    Keywords: Arctic; Binary Object; CATS; CATS - The Changing Arctic Transpolar System; File content; regional climate model; Sea ice; verification
    Type: Dataset
    Format: text/tab-separated-values, 8 data points
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  • 9
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    International Arctic Systems for Observing the Atmosphere: An International Polar Year Legacy Consortium (2016)
    American Meteorological Society
    Details
    Publication Date: 2016-06-01
    Description: International Arctic Systems for Observing the Atmosphere (IASOA) activities and partnerships were initiated as a part of the 2007–09 International Polar Year (IPY) and are expected to continue for many decades as a legacy program. The IASOA focus is on coordinating intensive measurements of the Arctic atmosphere collected in the United States, Canada, Russia, Norway, Finland, and Greenland to create synthesis science that leads to an understanding of why and not just how the Arctic atmosphere is evolving. The IASOA premise is that there are limitations with Arctic modeling and satellite observations that can only be addressed with boots-on-the-ground, in situ observations and that the potential of combining individual station and network measurements into an integrated observing system is tremendous. The IASOA vision is that by further integrating with other network observing programs focusing on hydrology, glaciology, oceanography, terrestrial, and biological systems it will be possible to understand the mechanisms of the entire Arctic system, perhaps well enough for humans to mitigate undesirable variations and adapt to inevitable change.
    Print ISSN: 0003-0007
    Electronic ISSN: 1520-0477
    Topics: Geography , Physics
    Published by American Meteorological Society
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  • 10
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    Effect of Wind Speed and Leads on Clear-Sky Cooling over Arctic Sea Ice during Polar Night (2019)
    American Meteorological Society
    Details
    Publication Date: 2019-07-26
    Description: A simple analytical model of the atmospheric boundary layer (ABL) coupled to sea ice is presented. It describes clear-sky cooling over sea ice during polar night in the presence of leads. The model solutions show that the sea ice concentration and wind speed have a strong impact on the thermal regime over sea ice. Leads cause both a warming of the ABL and an increase of stability over sea ice. The model describes a sharp ABL transition from a weakly stable coupled state to a strongly stable decoupled state when wind speed is decreasing. The threshold value of the transition wind speed is a function of sea ice concentration. The decoupled state is characterized by a large air–surface temperature difference over sea ice, which is further increased by leads. In the coupled regime, air and surface temperatures increase almost linearly with wind speed due to warming by leads and also slower cooling of the ABL. The cooling time scale shows a nonmonotonic dependency on wind speed, being lowest for the threshold value of wind speed and increasing for weak and strong winds. Theoretical solutions agree well with results of a more realistic single-column model and with observations performed at the three Russian “North Pole” drifting stations (NP-35, -37, and -39) and at the Surface Heat Budget of the Arctic Ocean ice camp. Both modeling results and observations show a strong implicit dependency of the net longwave radiative flux at the surface on wind speed.
    Print ISSN: 0022-4928
    Electronic ISSN: 1520-0469
    Topics: Geography , Geosciences , Physics
    Published by American Meteorological Society
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