Bias correcting climate model multi-member ensembles to assess climate change impacts on hydrology
Authors:
- 25 February 2019
- journal article
- research article
- Published by Springer Nature in Climatic Change
- Vol. 153 (3) , 361-377
Abstract
No abstract availableKeywords
Funding Information
- National Natural Science Foundation of China (51779176, 51539009)
- the Overseas Expertise Introduction Project for Discipline Innovation (111 Project) funded by Ministry of Education and State Administration of Foreign Experts Affairs P.R. China (B18037)
- National Key Research and Development Program of China (2017YFA0603704)
This publication has 36 references indexed in Scilit:
- The hazards of split-sample validation in hydrological model calibrationJournal of Hydrology, 2018
- Using reanalysis‐driven regional climate model outputs for hydrology modellingHydrological Processes, 2018
- Using Natural Variability as a Baseline to Evaluate the Performance of Bias Correction Methods in Hydrological Climate Change Impact StudiesJournal of Hydrometeorology, 2016
- Multi-model averaging for continuous streamflow prediction in ungauged basinsHydrological Sciences Journal, 2016
- Assessing the limits of bias‐correcting climate model outputs for climate change impact studiesJournal of Geophysical Research: Atmospheres, 2015
- Comparison of Stochastic Optimization Algorithms in Hydrological Model CalibrationJournal of Hydrologic Engineering, 2014
- Finding appropriate bias correction methods in downscaling precipitation for hydrologic impact studies over North AmericaWater Resources Research, 2013
- Performance and uncertainty evaluation of empirical downscaling methods in quantifying the climate change impacts on hydrology over two North American river basinsJournal of Hydrology, 2013
- Comparison and evaluation of multiple GCMs, statistical downscaling and hydrological models in the study of climate change impacts on runoffJournal of Hydrology, 2012
- Uncertainty of downscaling method in quantifying the impact of climate change on hydrologyJournal of Hydrology, 2011