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High-resolution daily global climate dataset of BCCAQ statistically downscaled CMIP6 models for the EVOFLOOD project

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DataCite Commons2023-11-23 更新2025-04-16 收录
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https://catalogue.ceda.ac.uk/uuid/c107618f1db34801bb88a1e927b82317
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资源简介:
A novel statistical downscaling model, the Bias Correction Constructed Analogues with Quantile mapping reordering (BCCAQ), is used to downscale daily precipitation, air temperature, maximum and minimum temperature, wind speed, air pressure, and relative humidity from 18 global circulation models (GCMs) from the Coupled Model Intercomparison Project Phase 6 (CMIP6). This new high-resolution climate dataset will be useful in assessing future changes and variability in climate and in particular in driving richer impact assessment models. The data are available for the historical (1981-2014) and future (2015-2100) periods at 0.25 degree horizontal resolution and daily time step across three Shared Socioeconomic Pathways (SSP2-4.5, SSP5-3.4OS and SSP5-8.5). SSP2-4.5 is based on Shared Socioeconomic Pathway SSP2 with intermediate climate change mitigation and adaptation challenges and RCP2.6, a future pathway with a radiative forcing of 4.5 W/m2 in the year 2100. SSP5-8.5 is based on Shares Socioeconomic Pathway SSP5 where climate change mitigation challenges dominate and RCP8.5, a future pathway with a radiative forcing of 8.5 W/m2 in the year 2100. SSP5-3.4OS is an overshoot scenario where emissions follow the SSP5-8.5 pathway until 2040 before dramatically declining.
提供机构:
NERC EDS Centre for Environmental Data Analysis
创建时间:
2022-12-14
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