[HTML][HTML] Comparison of CMIP5 and CMIP6 multi-model ensemble for precipitation downscaling results and observational data: the case of Hanjiang River Basin

D Wang, J Liu, W Shao, C Mei, X Su, H Wang - Atmosphere, 2021 - mdpi.com
Evaluating global climate model (GCM) outputs is essential for accurately simulating future
hydrological cycles using hydrological models. The GCM multi-model ensemble (MME) …

[HTML][HTML] Downscaling and projection of multi-cmip5 precipitation using machine learning methods in the upper han river Basin

R Xu, N Chen, Y Chen, Z Chen - Advances in Meteorology, 2020 - hindawi.com
Downscaling considerably alleviates the drawbacks of regional climate simulation by
general circulation models (GCMs). However, little information is available regarding the …

Projection of summer precipitation over the Yangtze–Huaihe River basin using multimodel statistical downscaling based on canonical correlation analysis

D Wu, Z Jiang, T Ma - Journal of Meteorological Research, 2016 - Springer
By using observational daily precipitation data over the Yangtze–Huaihe River basin, ERA-
40 data, and the data from eight CMIP5 climate models, statistical downscaling models are …

Comparison of empirical statistical methods for downscaling daily climate projections from CMIP5 GCMs: a case study of the Huai River Basin, China

L Wang, R Ranasinghe, S Maskey… - International journal …, 2016 - Wiley Online Library
Empirical statistical downscaling methods are becoming increasingly popular in climate
change impact assessments that require downscaling multi‐global climate model (GCM) …

[HTML][HTML] Precipitation projections using a spatiotemporally distributed method: a case study in the Poyang Lake watershed based on the MRI-CGCM3

L Zhang, X Chen, J Lu, X Fu, Y Zhang… - Hydrology and Earth …, 2019 - hess.copernicus.org
To bridge the gap between large-scale GCM (global climate model) outputs and regional-
scale climate requirements of hydrological models, a spatiotemporally distributed …

[HTML][HTML] Multi-site statistical downscaling method using GCM-based monthly data for daily precipitation generation

X Su, W Shao, J Liu, Y Jiang - Water, 2020 - mdpi.com
Global Climate Models (GCMs) can provide essential meteorological data as inputs for
simulating and assessing the impact of climate change on catchment hydrology. However …

Downscaling of precipitation for climate change projections using multiple machine learning techniques: case study of Shenzhen City, China

JC Han, W Zheng, Z Liu, Y Zhou… - Journal of Water …, 2022 - ascelibrary.org
To examine the characteristics of future precipitation under climate change is of great
significance to urban water security. In this paper, multiple machine learning techniques, ie …

Future changes in precipitation over the upper Yangtze River basin based on bias correction spatial downscaling of models from CMIP6

H Wu, H Lei, W Lu, Z Liu - Environmental Research …, 2022 - iopscience.iop.org
Global climate change will change the temporal and spatial distribution of precipitation, as
well as the intensity and frequency of extreme precipitation. The Yangtze River basin is one …

A new statistical downscaling approach for global evaluation of the CMIP5 precipitation outputs: Model development and application

Q Zhang, Z Shen, CY Xu, P Sun, P Hu, C He - Science of the total …, 2019 - Elsevier
Abstract Outputs of the Coupled Model Intercomparison Project Phase 5 (CMIP5) models
have been widely used in studies of climate changes related to scenarios at global and …

Performance evaluations of CMIP6 and CMIP5 models for precipitation simulation over the Hanjiang River Basin, China

D Wang, J Liu, H Wang, W Shao, C Mei… - Journal of Water and …, 2022 - iwaponline.com
Projecting the climate change impacts on hydrology and water resources relies on the
climate scenarios simulated by general circulation models (GCMs), which requires a …