• Browse
    • Author
    • Year
    • Platform
    • Organizations
    • Programs
    • Research Networks
    • Type
  • Search
    • Simple
    • Advanced
  • About
    • About
    • Policies
    • Citation Guide
  • Login
    Logo Alfred Wegener Institut
    Logo Alfred Wegener Institut
    Alfred-Wegener-Institut
    Helmholtz-Zentrum für Polar-
    und Meeresforschung
    • Imprint
    • Contact
    • OAI
    • RSS 2.0

    EPIC.awi.de

    Home
    • Browse
      • Author
      • Year
      • Platform
      • Organizations
      • Programs
      • Research Networks
      • Type
    • Search
      • Simple
      • Advanced
    • About
      • About
      • Policies
      • Citation Guide
    • Login
      Login

      Analysis of trends and sudden changes in long-term environmental data from King George Island (Antarctica): relationships between global climatic oscillations and local system response

      Edit Item Edit Item

      General Information:

      Citation:
      Bers, A. V. , Momo, F. , Schloss, I. R. and Abele, D. (2012): Analysis of trends and sudden changes in long-term environmental data from King George Island (Antarctica): relationships between global climatic oscillations and local system response , Climatic Change . doi: 10.1007/s10584-012-0523-4
      Cite this page as:
      hdl:10013/epic.39851
      DOI:
      10.1007/s10584-012-0523-4
      Official URL:
      10.1007/s10584-012-0523-4
      Contact Email:
      Valeria.Bers@awi.de
      Related Data:

      Download:

      [img]
      Preview
      PDF
      Bers_et_al_2012.pdf

      Download (594kB) | Preview
      Cite this document as:
      hdl:10013/epic.39851.d001
      Abstract:

      The Western Antarctic Peninsula is one of the most rapidly warming regions on earth. It is therefore important to analyze long-term trends and inter-annual patterns of change in major environmental parameters to understand the process underlying climate change in Western Antarctica. Since many polar long-term data series are fragmented and cannot be analysed with common time series analysis tools, we present statistical approaches that can deal with missing values. We applied U-statistics after Pettit and Buishand to detect abrupt changes, dynamic factor analysis to detect functional relationships, and additive modelling to detect patterns in time related to climatic cycles such as the Southern Annular Mode and El Niño Southern Oscillation in a long-term environmental data set from King George Island (WAP), covering 20 years. Our results not only reveal sudden changes for sea surface temperature and salinity, but also clear patterns in all investigated variables (sea surface temperature, salinity, suspended particulate matter and Chlorophyll a) that can directly be related to climatic cycles. Our results complement previous findings on climate related changes in the King George Island Region and provide insight into the environmental conditions and climatic drivers of system change in the study area. Hence, our statistical analyses may prove valuable for other polar environmental data sets and contribute to a better understanding of the regional variability of climate change and its impact on coastal systems.

      Further Details:

      Item Type:
      Article
      Authors:
      Bers, A. Valeria ; Momo, Fernando ; Schloss, Irene R. ; Abele, Doris
      Divisions:
      AWI Organizations > Biosciences > Functional Ecology
      Programs:
      Helmholtz Research Programs > PACES I (2009-2013) > TOPIC 2: Coastal Change > WP 2.2: Integrating evolutionary Ecology into Coastal and Shelf Processes
      Eprint ID:
      30976
      Logo Alfred Wegener Institut
      Alfred-Wegener-Institut
      Helmholtz-Zentrum für Polar-
      und Meeresforschung
      Logo Helmholtz

      • Browse
        • Author
        • Year
        • Platform
        • Organizations
        • Programs
        • Research Networks
        • Type
      • Search
        • Simple
        • Advanced
      • About
        • About
        • Policies
        • Citation Guide
      • Imprint
      • Contact
      • OAI
      © Alfred-Wegener-Institut