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July 31, 2013Earth System DynamicsOpen Access

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

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Authors

SHSabrina HempelUniversity of PotsdamKFKatja FrielerLeibniz AssociationLWLila WarszawskiPotsdam Institute for Climate Impact Research

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Overview

Randomized trial demonstrates bias correction in climate impact modeling, suggesting improved accuracy for projections.

Key Points

  • The study aims to present a bias correction method for climate models that preserves trends in simulated climate data.
  • Development of bias correction method within ISI-MIP.
  • Mapping of simulated historical data to observations using transfer functions.
  • Adjustment of daily variability alongside correction of monthly means.
  • Bias correction effectively preserved the absolute changes in monthly temperature.
  • Maintained relative changes in monthly precipitation and other variables.
  • Limitations observed in adjusting variability, potentially affecting small scale features and extremes.

Cite This Study

Hempel et al. (2013) studied this question.

synapsesocial.com/papers/69d95ced04deaa6ab56841b4https://doi.org/10.5194/esd-4-219-2013
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