Filters

2015 - 20162

More filters

2019 - 201912020 - 20221
Reset filters

Settings

Has files: Yes × Subject: historical perspective ×

Search Results

Now showing 1 - 2 of 2
  • Thumbnail Image
    Item
    History of the Juliusruh ionospheric observatory on Rügen
    (Göttingen : Copernicus Publ., 2016) Weiß, J.
    The history of the Juliusruh ionospheric observatory on Rügen is closely connected to the history of ground-based ionospheric sounding. After a short introduction to the ionospheric research and the sounding technique, the founding of the Juliusruh station in 1954 and its development until today are described. The different methods of ground-based sounding – as far as they apply to Juliusruh – are briefly discussed. The condition of life and work in a small team on the island of Rügen, remote from the respective parent institute, is also the subject of this article, whose author headed Juliusruh Station from 1965 to 2004.
  • Thumbnail Image
    Item
    The Global Gridded Crop Model Intercomparison: Data and modeling protocols for Phase 1 (v1.0)
    (München : European Geopyhsical Union, 2015) Elliott, J.; Müller, C.; Deryng, D.; Chryssanthacopoulos, J.; Boote, K.J.; Büchner, M.; Foster, I.; Glotter, M.; Heinke, J.; Iizumi, T.; Izaurralde, R.C.; Mueller, N.D.; Ray, D.K.; Rosenzweig, C.; Ruane, A.C.; Sheffield, J.
    We present protocols and input data for Phase 1 of the Global Gridded Crop Model Intercomparison, a project of the Agricultural Model Intercomparison and Improvement Project (AgMIP). The project includes global simulations of yields, phenologies, and many land-surface fluxes using 12–15 modeling groups for many crops, climate forcing data sets, and scenarios over the historical period from 1948 to 2012. The primary outcomes of the project include (1) a detailed comparison of the major differences and similarities among global models commonly used for large-scale climate impact assessment, (2) an evaluation of model and ensemble hindcasting skill, (3) quantification of key uncertainties from climate input data, model choice, and other sources, and (4) a multi-model analysis of the agricultural impacts of large-scale climate extremes from the historical record.