Institute of Atmospheric Physics, Chinese Academy of Sciences, China
Yingkou Meteorological Bureau, Yingkou, China
National Climate Center, China Meteorological Administration, Beijing, China
The Abdus Salam International Center for Theoretical Physics, Trieste, Italy
Tackling Challenges in Water Resource in a Changing Climate SS-2-2, 11 September 2023, Beijing
Organisation: Future Earth Global Secretariat Hub China
Background
Systematic biases of climate model simulations relative to observations widely exist due to various reasons.
Very difficult / even not possible to use model outputs directly in impact assessment studies, e.g. as forcings for hydrological and agricultural models: bias correction has been widely used.
Most commonly used: QM, quantile mapping, effectively removes model biases.
QM may artificially distort the climate change signals and corrupt future model-projected trends.
QDM: quantile delta mapping, based on the quantile delta change and detrended quantile mapping method, preserves the changes in quantiles.