相关数据集
Supporting material for PyESDv1.0.1 An open-source Python framework for empirical-statistical downscaling of climate information
The nature and severity of climate change impacts varies significantly from region to region. Consequently, high-resolution climate information is needed for meaningful impact assessments and the desi
NIAID Data Ecosystem40
Geographic and climatic description (1980–2009) of the ten Swiss study sites (www.meteoswiss.admin.ch).
Median climate change signals (2045–2074 vs. 1980–2009) of mean temperature (ΔTmean) were provided for the spring (MAM) as well for the summer (JJA) season (Hirschi et al. 2011). According to Fischer
NIAID Data Ecosystem20
IPCC DDC: IPSL IPSL-CM5A2-INCA model output prepared for CMIP6 CMIP
These data include the subset used by IPCC AR6 WGI authors of the datasets originally published in ESGF for 'CMIP6.CMIP.IPSL.IPSL-CM5A2-INCA' with the full Data Reference Syntax...
B2FIND10
IPCC DDC: CMCC CMCC-CM2-SR5 model output prepared for CMIP6 CMIP
Project: Coupled Model Intercomparison Project Phase 6 (CMIP6) datasets - These data have been generated as part of the internationally-coordinated Coupled Model Intercomparison Project Phase 6 (CMIP6
DataCite Commons2023-08-01 更新40
Spatial patterns of extreme precipitation and their changes under ~2 °C global warming: A large-ensemble study of the western US: Data Release
This dataset supports the analysis in Rupp et al. (2022). The dataset consists of 17,223 data files containing the water year (WY) maximum of the daily-averaged precipitation rate simulated with the H
Zenodo2022-02-27 更新20
