An ensemble of bias-adjusted CMIP6 climate simulations based on a high-resolution North American reanalysis Article Open access 11 January 2024 Bias-corrected CMIP6 global dataset for dynamical downscaling of the historical and future climate (1979–2100) Article Open access 04 November 2021 Hi...
Exploring Future Changes of Rainfall across Bangladesh Using the Optimal Bias-corrected CMIP6 GCM Model doi:10.1007/s41748-025-00579-1Bangladesh, a low-lying subtropical monsoon-dominated region, relies heavily on agriculture and is extremely vulnerable to the impacts of climate change. This research...
Data sources We leverage five ensembles of statistically downscaled and bias-corrected GCM outputs: NASA NEX-GDDP-CMIP677 (which we refer to as NEX-GDDP), CIL-GDPCIR78, ISIMIP3BASD79,80 (which we refer to as ISIMIP3b), and two ensembles from carbonplan81: GARD-SV82 and DeepSD-BC83....
Our evaluation suggests that the bias-corrected data are of better quality than the individual CMIP6 models in terms of the climatological mean, interannual variance and extreme events. This dataset will be useful for dynamical downscaling projections of the Earth's future climate, atmospheric ...
The downscaleCMIP6 Repository TheClimateImpactLab/downscaleCMIP6repository contains infrastructure setup, argo workflows, and validation notebooks which together produce the bias corrected and downscaled daily 1/4-degree CMIP6 tasmin, tasmax, and pr data for the Climate Impact Lab Global Downscaled ...
Performance of bias corrected monthly CMIP6 climate projections with different reference period data in Turkey 来自 EBSCO 喜欢 0 阅读量: 20 作者: S Oruc 摘要: Decisions that are based on the future climate data, and its consequences are significantly important for many sectors such as water, ...
corrected projections from CMIP6-GCMs can be used for climate change impact assessment in South Asia and hydrologic impact assessment in the sub-continental river basins. Machine-accessible metadata file describing the reported data:https://doi.org/10.6084/m9.figshare.12963008...
. The IMERG final run of GPM is a product retrieved from multi-satellite precipitation products corrected by gauge data, at a resolution of 0.1 degree and 30 min53. Because analysis on U3 km whose number of meshes is particularly large, rainfall intensity is only graded into five levels: ...
Assessing the Performance of a Dynamical Downscaling Simulation Driven by a Bias-Corrected CMIP6 Dataset for Asian Climate In this study,we aim to assess dynamical downscaling simulations by utilizing a novel bias-corrected global climate model(GCM)data to drive a regional clim... XU Zhongfeng,Y...
we show that a post-processing method based on physically constrained generative adversarial networks (cGANs) can correct biases of a state-of-the-art, CMIP6-class ESM both in local frequency distributions and in the spatial patterns at once. While our method improves local frequency distributions...