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ISIMIP2b bias-adjusted atmospheric climate input data

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DataCite Commons2025-02-18 更新2024-07-13 收录
下载链接:
https://data.isimip.org/10.48364/ISIMIP.208515
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资源简介:
The Inter-Sectoral Impact Model Intercomparison Project (ISIMIP) provides a framework for the collation of a set of consistent, multi-sector, multi-scale climate-impact simulations, based on scientifically and politically relevant historical and future scenarios. This framework serves as a basis for robust projections of climate impacts, as well as facilitating model evaluation and improvement, allowing for advanced estimates of the biophysical and socio-economic impacts of climate change at different levels of global warming. It also provides a unique opportunity to consider interactions between climate impacts across sectors.<br>ISIMIP2b is the second simulation round of the second phase of ISIMIP. ISIMIP2b considers impacts on different sectors at the global and regional scales: water, fisheries and marine ecosystems, energy supply and demand, forests, biomes, agriculture, agro-economic modeling, terrestrial biodiversity, permafrost, coastal infrastructure, health and lakes.<br>This dataset covers the CMIP5-based and bias-adjusted atmospheric climate input data for all three groups of ISIMIP2b simulations. Such data are available for 4 CMIP5 global climate models (MIROC5, GFDL-ESM2M, HadGEM2-ES, IPSL-CM5A-LR), 5 CMIP5 experiments (piControl, historical, RCP2.6, RCP6.0, RCP8.5) and 12 CMIP5 variables (huss, hurs, pr, prsn, ps, psl, rlds, rsds, sfcWind, tas, tasmax, tasmin).
提供机构:
ISIMIP Repository
创建时间:
2022-03-10
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