Now showing items 1-4 of 4

    • Corrigendum 

      Sokolov, Andrei P.; Stone, P. H.; Forest, C. E.; Prinn, Ronald G.; Sarofim, Marcus C.; Webster, M.; Paltsev, S.; Schlosser, C. Adam; Kicklighter, David W.; Dutkiewicz, Stephanie; Reilly, John M.; Wang, C.; Felzer, Benjamin S.; Melillo, Jerry M.; Jacoby, H. D. (American Meteorological Society, 2010-04-15)
      Corrigendum: Sokolov, A., and Coauthors, 2009: Probabilistic forecast for twenty-first-century climate based on uncertainties in emissions (without policy) and climate parameters. J. Climate, 22, 5175–5204.
    • Ecosystem feedbacks and cascade processes : understanding their role in the responses of Arctic and alpine ecosystems to environmental change 

      Wookey, Philip A.; Aerts, Rien; Bardgett, Richard D.; Baptist, Florence; Bråthen, Kari Anne; Cornelissen, Johannes H. C.; Gough, Laura; Hartley, Iain P.; Hopkins, David W.; Lavorel, Sandra; Shaver, Gaius R. (2008-09-11)
      Global environmental change, related to climate change and the deposition of airborne N-containing contaminants, has already resulted in shifts in plant community composition among plant functional types in arctic and ...
    • Mechanisms controlling the SST air-sea heat flux feedback and its dependence on spatial scale 

      Hausmann, Ute; Czaja, Arnaud; Marshall, John (2016-04-05)
      The turbulent air-sea heat flux feedback (α, in W m-2 K-1) is a major contributor to setting the damping timescale of sea surface temperature (SST) anomalies. In this study we compare the spatial distribution and ...
    • Probabilistic forecast for twenty-first-century climate based on uncertainties in emissions (without policy) and climate parameters 

      Sokolov, Andrei P.; Stone, P. H.; Forest, C. E.; Prinn, Ronald G.; Sarofim, Marcus C.; Webster, M.; Paltsev, S.; Schlosser, C. Adam; Kicklighter, David W.; Dutkiewicz, Stephanie; Reilly, John M.; Wang, C.; Felzer, Benjamin S.; Melillo, Jerry M.; Jacoby, H. D. (American Meteorological Society, 2009-10-01)
      The Massachusetts Institute of Technology (MIT) Integrated Global System Model is used to make probabilistic projections of climate change from 1861 to 2100. Since the model’s first projections were published in 2003, ...