Compound events under global warming: a dependence perspective
Due to enhanced impacts of compound events, the importance of assessing climate change
impacts on extremes from a multivariate perspective has recently been receiving …
impacts on extremes from a multivariate perspective has recently been receiving …
[HTML][HTML] Multivariate quantile mapping bias correction: an N-dimensional probability density function transform for climate model simulations of multiple variables
AJ Cannon - Climate dynamics, 2018 - Springer
Most bias correction algorithms used in climatology, for example quantile mapping, are
applied to univariate time series. They neglect the dependence between different variables …
applied to univariate time series. They neglect the dependence between different variables …
Bias correction of temperature and precipitation over China for RCM simulations using the QM and QDM methods
Two different bias correction methods, the quantile mapping (QM) and quantile delta
mapping (QDM), are applied to simulated daily temperature and precipitation over China …
mapping (QDM), are applied to simulated daily temperature and precipitation over China …
Climate information websites: an evolving landscape
B Hewitson, K Waagsaether, J Wohland… - Wiley …, 2017 - Wiley Online Library
The climate change agenda is populated by actors and agencies with different objectives,
values, and motivations, yet many seek decision scale climate information to inform policy …
values, and motivations, yet many seek decision scale climate information to inform policy …
[HTML][HTML] How suitable is quantile mapping for postprocessing GCM precipitation forecasts?
How Suitable is Quantile Mapping For Postprocessing GCM Precipitation Forecasts? in: Journal
of Climate Volume 30 Issue 9 (2017) Jump to Content Logo Logo Logo Logo Logo Logo …
of Climate Volume 30 Issue 9 (2017) Jump to Content Logo Logo Logo Logo Logo Logo …
[HTML][HTML] Multivariate bias corrections of climate simulations: which benefits for which losses?
Climate models are the major tools to study the climate system and its evolutions in the
future. However, climate simulations often present statistical biases and have to be corrected …
future. However, climate simulations often present statistical biases and have to be corrected …
An improved bias correction method of daily rainfall data using a sliding window technique for climate change impact assessment
PS Smitha, B Narasimhan, KP Sudheer… - Journal of Hydrology, 2018 - Elsevier
Regional climate models (RCMs) are used to downscale the coarse resolution General
Circulation Model (GCM) outputs to a finer resolution for hydrological impact studies …
Circulation Model (GCM) outputs to a finer resolution for hydrological impact studies …
Multivariate bias adjustment of high-dimensional climate simulations: the Rank Resampling for Distributions and Dependences (RD) bias correction
M Vrac - Hydrology and Earth System Sciences, 2018 - hess.copernicus.org
Climate simulations often suffer from statistical biases with respect to observations or
reanalyses. It is therefore common to correct (or adjust) those simulations before using them …
reanalyses. It is therefore common to correct (or adjust) those simulations before using them …
Multivariate bias‐correction of high‐resolution regional climate change simulations for West Africa: performance and climate change implications
A multivariate bias correction based on N‐dimensional probability density function transform
(MBCn) technique is applied to four different high‐resolution regional climate change …
(MBCn) technique is applied to four different high‐resolution regional climate change …
Effects of univariate and multivariate bias correction on hydrological impact projections in alpine catchments
Alpine catchments show a high sensitivity to climate variation as they include the elevation
range of the snow line. Therefore, the correct representation of climate variables and their …
range of the snow line. Therefore, the correct representation of climate variables and their …