Bias correcting climate change simulations-a critical review

D Maraun - Current Climate Change Reports, 2016 - Springer
Climate models are our major source of knowledge about climate change. The impacts of
climate change are often quantified by impact models. Whereas impact models typically …

Precipitation downscaling under climate change: Recent developments to bridge the gap between dynamical models and the end user

D Maraun, F Wetterhall, AM Ireson… - Reviews of …, 2010 - Wiley Online Library
Precipitation downscaling improves the coarse resolution and poor representation of
precipitation in global climate models and helps end users to assess the likely hydrological …

High-resolution and bias-corrected CMIP5 projections for climate change impact assessments

C Navarro-Racines, J Tarapues, P Thornton, A Jarvis… - Scientific data, 2020 - nature.com
Projections of climate change are available at coarse scales (70–400 km). But agricultural
and species models typically require finer scale climate data to model climate change …

Improving multiple model ensemble predictions of daily precipitation and temperature through machine learning techniques

DM Jose, AM Vincent, GS Dwarakish - Scientific Reports, 2022 - nature.com
Abstract Multi-Model Ensembles (MMEs) are used for improving the performance of GCM
simulations. This study evaluates the performance of MMEs of precipitation, maximum …

Bias-corrected climate projections for South Asia from coupled model intercomparison project-6

V Mishra, U Bhatia, AD Tiwari - Scientific data, 2020 - nature.com
Climate change is likely to pose enormous challenges for agriculture, water resources,
infrastructure, and livelihood of millions of people living in South Asia. Here, we develop …

[LIVRE][B] Statistical downscaling and bias correction for climate research

D Maraun, M Widmann - 2018 - books.google.com
Statistical downscaling and bias correction are becoming standard tools in climate impact
studies. This book provides a comprehensive reference to widely-used approaches, and …

A trend-preserving bias correction–the ISI-MIP approach

S Hempel, K Frieler, L Warszawski… - Earth System …, 2013 - esd.copernicus.org
Statistical bias correction is commonly applied within climate impact modelling to correct
climate model data for systematic deviations of the simulated historical data from …

Climate change impacts on the upper Indus hydrology: sources, shifts and extremes

AF Lutz, WW Immerzeel, PDA Kraaijenbrink… - PloS one, 2016 - journals.plos.org
The Indus basin heavily depends on its upstream mountainous part for the downstream
supply of water while downstream demands are high. Since downstream demands will likely …

Climate change impacts on groundwater and dependent ecosystems

B Kløve, P Ala-Aho, G Bertrand, JJ Gurdak… - Journal of …, 2014 - Elsevier
Aquifers and groundwater-dependent ecosystems (GDEs) are facing increasing pressure
from water consumption, irrigation and climate change. These pressures modify …

Downscaling RCM precipitation to the station scale using statistical transformations–a comparison of methods

L Gudmundsson, JB Bremnes… - Hydrology and Earth …, 2012 - hess.copernicus.org
The impact of climate change on water resources is usually assessed at the local scale.
However, regional climate models (RCMs) are known to exhibit systematic biases in …