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  • 1
    Online Resource
    Online Resource
    [Washington DC] : Aspen Institute
    Keywords: Meer ; Internationaler Umweltschutz ; Klimaschutz ; Meeresnutzung ; Kohlenstoff ; Meeresboden ; Kohlendioxid ; Carbon dioxide capture and storage ; Forschungsgegenstand ; Forschungsplanung ; Forschungsprojekt ; Verhaltenskodex ; Erde
    Type of Medium: Online Resource
    Pages: 1 Online-Ressource (48 Seiten) , Illustrationen
    Language: English
    Location Call Number Limitation Availability
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  • 2
    Publication Date: 2023-01-30
    Description: This dataset contains Greenland Ice Sheet snowfall climatologies derived from Release 5, Version P1 of the CloudSat snowfall product (2C-SNOW-PROFILE: http://www.cloudsat.cira.colostate.edu/data-products/level-2c/2c-snow-profile). Before gridding, we applied a filter to the 2C-SNOW-PROFILE product which excluded all snowfall rates that were greater than two standard deviations from a 50 km running median. Snowfall climatologies were produced by (1) averaging all valid CloudSat snowfall rate observations within 45 km of the grid cell center, (2) averaging these snowfall rates for each month, and (3) averaging all months to produce a snowfall climatology for the 2006-2016 study period. We also produced seasonal snowfall climatologies by averaging monthly snowfall rates from the following periods (e.g. Spring [MAM], Summer [JJA], Autumn [SON], and Winter [DJF]). The snowfall climatologies have a WGS84 / NSIDC Sea Ice Polar Stereographic North projection (EPSG:3413) with a spatial resolution of 15 x 15 km. Snowfall rate units are in meters per year. This dataset also contains a Greenland Ice Sheet summer precipitation phase climatology for the 2006-2016 study period which was produced from Release 5, Version P1 of the CloudSat precipitation product (2C-PRECIP-COLUMN: http://www.cloudsat.cira.colostate.edu/data-products/level-2c/2c-precip-column). This climatology was derived using the same sampling strategy as the snowfall climatologies but was produced by dividing the number of events classified as rain by the total number of precipitation events.
    Keywords: CloudSat; Greenland; Greenland_Ice; Greenland ice sheet; precipitation; snowfall
    Type: Dataset
    Format: application/x-netcdf, 768.9 kBytes
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  • 3
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    PANGAEA
    In:  Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven
    Publication Date: 2024-04-20
    Description: The data publication contains supplementary data to the article "Supplementary Dataset to: The catastrophic thermokarst lake drainage events of 2018 in northwestern Alaska: Fast-forward into the future" This data publication includes four datasets: 1. Lake change datasets for 1999-2014 and 2017-2018 based on Landsat and Sentinel-1 data as Polygon Shapefiles 2. Lake change datasets for 2017 and 2018 based on high-temporal resolution PlanetScope imagery as Polygon Shapefiles and csv. 3. Lake ice simulations for the study area for 1980-2018. 4. Study sites in two versions: a) including seawater and b) clipped to land area. Files are Polygon Shapefiles. The datasets cover the land area of the Baldwin Peninsula and northern Seward Peninsula in north-western Alaska. The datasets are (#1&#2) remote sensing based observations and (#3) modelled data. Methods are described in detail in the original manuscript (open access). Dataset #4 is the extent of the study site in two versions, a) full extent including seawater and b) land only including lakes. The land boundary was clipped with the “Global Self-consistent, Hierarchical, High-resolution Geography Database” (GSHHG; Wessel and Smith, 1996) dataset in scale “h”. The datasets cover different temporal periods and have a different temporal resolution. Data were collected to measure the extent of a rapid and widespread thermokarst lake drainage event in northwestern Alaska in 2018 and to compare the affected number of lakes and area to previous periods. Lake-ice model data were calculated to simulate lake-ice conditions since 1980 and to put the lake-ice and weather conditions in 2017/2018 into context.
    Keywords: Alaska; Binary Object; Binary Object (File Size); Binary Object (Media Type); File content; lake dynamics; MULT; Multiple investigations; NW-Alaska; Permafrost; remote sensing; thermokarst lakes
    Type: Dataset
    Format: text/tab-separated-values, 8 data points
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  • 4
    Publication Date: 2024-01-09
    Description: Given the clear need to inform societal decision-making on the role marine Carbon Dioxide Removal (mCDR) can play in solving the climate crisis, it is imperative that researchers begin to answer questions about its effectiveness and impacts. Yet overly hasty deployment of new ocean-based climate interventions risks harm to communities and ecosystems and could jeopardize public perception of the field as a whole. In addition, the harms, risks and benefits of mCDR efforts are unlikely to be evenly distributed. Unabated, climate change could have a devastating impact on global ecosystems and human populations, and the impacts of mCDR should be contemplated in this context. This Code of Conduct exclusively applies to mCDR research and does not attempt to put any affiliated risk in the context of the risk of delaying climate action. Its purpose is to ensure that the impacts of mCDR research activities themselves are adequately understood and accounted for as they progress. It provides a roadmap of processes, procedures, and activities that project leads should follow to ensure that decisions regarding whether, when, where, and how to conduct mCDR research are informed by relevant ethical, scientific, economic, environmental, and regulatory considerations.
    Type: Report , NonPeerReviewed
    Format: text
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