Quantile mapping bias correction algorithms are commonly used to correct systematic
distributional biases in precipitation outputs from climate models. Although they are effective …

The Mediterranean region is one of the most responsive areas to climate change and was
identified as a major “hot-spot” based on global climate change analyses. This study …

Six bias correction (BC) methods; delta-method (DT), linear scaling (LS), power
transformation of precipitation (PTR), empirical quantile mapping (EQM), gamma quantile …

Commonly used bias correction methods such as quantile mapping (QM) assume the
function of error correction values between modeled and observed distributions are …

Managing environmental resources under conditions of climate change and extreme climate
events remains among the most challenging research tasks in the field of sustainable …

The spatial climatic characteristics of the H imalayas are complex and a challenge for
regional climate models (RCMs). There is no doubt that some form of correction before any …

Understanding drought dynamics spatially and temporally is essential for environmental and
socio-economic systems, especially under climate change with expected increasing …

The UK Climate Change Act requires the Environment Agency to report the risks it faces
from climate change and actions taken to address these. Derived information from …

Many open questions and unresolved issues surround the topic of bias correction (BC) in
climate change impact studies (CCIS). One question relates to the contribution of …

The quantile mapping method is a bias correction method that leads to a good performance
in terms of precipitation. Selecting an appropriate probability distribution model is essential …