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This study introduces the latest NASA Earth Exchange Global Daily Downscaled Projections dataset, NEX-GDDP-CMIP6, which enhances the spatial resolution compared to conventional CMIP6 models, thereby offering new potentials for high-resolution climate modeling. Using this advanced dataset, we conducted a...
The NEX-GDDP-CMIP6 GCMs and their MME also exhibited a stronger spatial pattern with higher correlation coefficients, lower mean bias and root mean square error recorded, than in the CMIP6 GCMs. The differences and improvements exhibited by the NEX-GDDP-CMIP6 GCMs, highlight the significance ...
Repository files navigation README License virtualize-nex-gddp-cmip6 Create virtual Zarr store for NASA NEX-GDDP-CMIP6 using VirtualiZarr Repository initiated with fpgmaas/cookiecutter-uv.About No description, website, or topics provided. Resources Readme License View license Activity Custom pro...
pak::pkg_install("mt-climate-office/cmip6") Example library(cmip6) cmip6_dl( outdir = tempfile(), aoi = sf::st_read(dsn = system.file("shape/nc.shp", package = "sf"), quiet = TRUE), models = "GISS-E2-1-G", scenarios = c("ssp126", "ssp585"), elements = c("tas",...
This paper evaluates the NASA Earth Exchange Global Daily Downscaled Projections' (NEX-GDDP) CMIP6 models' performance in simulating extreme climate indices across China and its eight subregions for the period 2081–2100 under SSP1-2.6, SSP2-4.5 and SSP5-8.5 scenarios. The models effectively rep...
NEX -GDDP 降尺度数据对中国极端 降水指数模拟能力的评估 王倩之，刘 凯，汪 明北京师范大学国家安全与应急管理学院，北京 100875 气候变化研究进展 第18卷 第1期 2022年1月CLIMATE CHANGE RESEARCH V ol. 18 No. 1January 2022 收稿日期：2020-11-02；修回日期：2021-02-02 资助项目：国家重点研发计划...
CMIP6 data are in the release and preliminary application stage, and the resolution of each mode varies greatly [25]; thus, the consistently higher and more uniform resolution of NEX-GDDP will continue to maintain high application value. Accordingly, the future daily snow depth dataset simulated ...
NASA NEX-GDDP数据集由全球降尺度气候情景组成,这些情景来自耦合模型相互比较项目第5阶段(CMIP5,见Taylor等人,2012年)下进行的一般循环模型(GCM)运行,并跨越四个温室气体排放情景中的两个情景,称为代表浓度路径(RCPs,见Meinshausen等人,2011年)。CMIP5 GCM运行是为支持政府间气候变化专门委员会第五次评估报告(IPCC ...
(NEX-GDDP-CMIP6),利用数理统计方法揭示了过去五十多年全天和昼夜极端降水时空特征,评估了新一代NEX-GDDP-CMIP6对极端降水的历史模拟能力,预估了未来增温1.5,2.0... 沈鎏澄 - 上海师范大学 被引量: 0发表: 2023年 高分辨率统计降尺度数据集 NEX-GDDP 对中国极端温度指 数模拟能力的评估 In this study, base...