articleEarth System DynamicsJul 31, 2013GOLD OA

A trend-preserving bias correction – the ISI-MIP approach

SHSabrina HempelKFKatja FrielerLWLila WarszawskiJSJacob ScheweFPFranziska Piontek

Potsdam Institute for Climate Impact Research

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Abstract

Abstract. Statistical bias correction is commonly applied within climate impact modelling to correct climate model data for systematic deviations of the simulated historical data from observations. Methods are based on transfer functions generated to map the distribution of the simulated historical data to that of the observations. Those are subsequently applied to correct the future projections. Here, we present the bias correction method that was developed within ISI-MIP, the first Inter-Sectoral Impact Model Intercomparison Project. ISI-MIP is designed to synthesise impact projections in the agriculture, water, biome, health, and infrastructure sectors at different levels of global warming. Bias-corrected…

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Topics & keywords

Topics
Keywords
  • Coupled model intercomparison project
  • Environmental science
  • Climatology
  • Climate change
  • Biome
  • Consistency (knowledge bases)
  • Climate model
  • Precipitation
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