新版CDS平台数据下载 详情 运行环境: Climate Data Store (Beta) 数据下载——以ERA5为例¶ 评论 近期,Copernicus Climate Change Service (C3S)网站正式发布新的CDS-Beta接口系统,今年9月起旧的CDS接口系统将不再支持下载ERA5数据。让我们一起来看看新版CDS接口如何使用?又有哪些新功能和亮点呢? 评论 评论 ...
网址:https://cds.climate.copernicus.eu/cdsapp#!/home Climate Data Store是哥白尼气候变化服务(Copernicus Climate Change Service,C3S)数据平台,具有大量全球、欧洲地区气象、水文等不同数据集。 2.1.4 ERA5 网址:https://confluence.ecmwf.int/display/CKB/How+to+download+ERA5#HowtodownloadERA5-3-Downloadin...
Fig. 2. Climate data store – data and information flow from observations, archiving, analysis and applications. One of the most informative features of the C3S approach is the inclusion of a computational layer in the setup of the CDS. Given that the size of the majority of the datasets ...
Copernicus Climate Change Service (C3S) Climate Data Store (CDS). https://doi.org/10.24381/cds.dad6e055 Novara A, Gristina L, Saladino SS et al (2011) Soil erosion assessment on tillage and alternative soil managements in a Sicilian vineyard. Soil Tillage Res 117:140–147. https://doi....
ECMWF ERA5 Reanalysis climate data are available through the Copernicus Climate Data Store: https://cds.climate.copernicus.eu/cdsapp#!/dataset/reanalysis-era5-land?tab=overview.Code availability R code to perform the analyses and generate the figures is available via Zenodo at https://doi.org/...
Climate Data Store Toolbox for MATLAB 버전 2.2.6.0 (1.08 MB) 작성자: Rob Purser MATLAB(R) Tools to access the Climate Data Store (https://cds.climate.copernicus.eu/) https://github.com/mathworks/climatedatastore 팔로우 5.0 (1) 다운로드 수: 1K 업데...
Python API to access the Copernicus Climate Data Store (CDS) - GitHub - ecmwf/cdsapi: Python API to access the Copernicus Climate Data Store (CDS)
通过CDS下载ERA5再分析资料 | Download ERA5 reanalysis from the climate data store 3781 0 12:14 App 下载ERA5再分析数据 part2 697 2 07:42 App NetCDF之美 | The beauty of NetCDF | 气象数据netcdf 1106 0 08:59 App 解析罕见的反气旋性龙卷风【生肉】 1095 0 06:21 App 2025年01月28日国际...
Copernicus Climate Change Service (C3S) Climate Data Store (CDS) https://doi.org/10.24381/cds.adbb2d47. O’Neill, B. C. et al. The Scenario Model Intercomparison Project (ScenarioMIP) for CMIP6. Geoscientific Model Dev. 9, 3461–3482 (2016). Article Google Scholar Gillett, N. P. et...
Muñoz Sabater, J., (2019): ERA5-Land monthly averaged data from 1981 to present. Copernicus Climate Change Service (C3S) Climate Data Store (CDS). (<date of access>),doi:10.24381/cds.68d2bb30 var dataset = ee.ImageCollection("ECMWF/ERA5_LAND/HOURLY").filter(ee.Filter.date('2020-...