Bias correction methods are developed based on the assumption that the biases of climate
model outputs are stationary, that is, the characteristics of the bias are constant over time …

Bias correction methods have now emerged as the most commonly used approach when
applying climate model outputs to impact studies. However, comparatively much fewer …

Bias correction of climate model outputs has emerged as a standard procedure in most
recent climate change impact studies. A crucial assumption of all bias correction approaches …

Climate simulations often need to be adjusted (ie, corrected) before any climate change
impacts studies. However usual bias correction approaches do not differentiate the bias from …

Postprocessing of climate model outputs is usually performed to remove biases prior to
performing climate change impact studies. The evaluation of the performance of bias …

Bias correction methods are based on the assumption of bias stationarity of climate model
outputs. However, this assumption may not be valid, because of the natural climate …

Climate models and/or their output are usually bias-corrected for climate impact studies. The
underlying assumption of these corrections is that climate biases are essentially stationary …

Effects of Climatological Model Biases on the Projection of Tropical Climate Change in:
Journal of Climate Volume 28 Issue 24 (2015) Jump to Content Jump to Main Navigation …

Bias correction of meteorological variables from climate model simulations is a routine
strategy for circumventing known limitations of state‐of‐the‐art general circulation models …

When correcting for biases in general circulation model (GCM) output, for example when
statistically downscaling for regional and local impacts studies, a common assumption is that …