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Delta method downscaling The DC approach presented here is a simple form of BC in which a change factor or ‘delta’ is derived from the GCM, and then added onto the observations (WorldClim). The purpose of our dataset is to provide a bias-corrected and high-resolution representation of the...
Histograms of CMIP6 biases in (upper) annual mean and (bottom) 95th percentile values of (left)Ta, (middle)Twand (right) WBGT before and after bias-correction. Histograms are constructed from land grid cells within 60° S-70° N as shown in Figs.1–3, and normalized to ensure that th...
Percentile-based bias correction method was used in order to adjust systematic biases in all simulated precipitation fields. The present study focuses on different precipitation climate indices derived from high-resolution RCM outputs over the entire Carpathian Region and specifically two sub-regions ...
The EEMD method used to compute the non-linear trend is very time consuming if we apply it to process global six-hourly 3D datasets over multiple decades. To save computing time, we assumed that the long-term non-linear trends remained the same for each six-hourly/daily value of variables...
The EEMD method used to compute the non-linear trend is very time consuming if we apply it to process global six-hourly 3D datasets over multiple decades. To save computing time, we assumed that the long-term non-linear trends remained the same for each six-hourly/da...
(2016) Percentile indices for assessing changes in heavy precipitation events. Clim Change :1–16. doi:10.1007/s10584–016–1669-2 Sillmann J, Kharin VV, Zwiers FW, Zhang X, Bronaugh D (2013) Climate extremes indices in the CMIP5 multimodel ensemble: part 2. Future climate projections. J...
Percentile-based bias correction method was used in order to adjust systematic biases in all simulated precipitation fields. The present study focuses on different precipitation climate indices derived from high-resolution RCM outputs over the entire Carpathian Region and specifical...
The internationally widely used percentile-based quantile mapping method is applied for the bias-correction and it is performed on a monthly level. The novelty of the present study is that we used two different calibration periods to create bias-corrected datasets: an earlier...