Standard Article

Climate Change Scenarios for Impacts Assessment

Ecological Statistics

  1. Francis W. Zwiers,
  2. Gerd Bürger

Published Online: 15 JAN 2013

DOI: 10.1002/9780470057339.vnn135

Encyclopedia of Environmetrics

Encyclopedia of Environmetrics

How to Cite

Zwiers, F. W. and Bürger, G. 2013. Climate Change Scenarios for Impacts Assessment. Encyclopedia of Environmetrics. 1.

Author Information

  1. University of Victoria, British Columbia, Canada

Publication History

  1. Published Online: 15 JAN 2013

Abstract

The study of the impacts of potential future climate change and evaluation of actions that might be used to reduce those impacts requires the development of plausible scenarios of future climate change and variability. Projections of future climate change are produced by climate modeling centers using physically based climate system models that are driven with scenarios of future greenhouse gas emissions. While climate models have been increasing in complexity and resolution, the climate projections that they produce generally still require postprocessing to correct biases and to further refine resolution so that the output can be used to inform local and regional impacts assessments, and to drive impacts models, such as crop models or fine-scale surface hydrology models. This article briefly describes several of the “statistical downscaling” techniques that are used for this postprocessing.

Keywords:

  • climate change;
  • climate change projection;
  • climate change scenarios;
  • climate change impacts;
  • statistical downscaling