DOI: 10.1002/2015JD024411
论文题名: Projections of climate change indices of temperature and precipitation from an ensemble of bias-adjusted high-resolution EURO-CORDEX regional climate models
作者: Dosio A.
刊名: Journal of Geophysical Research: Atmospheres
ISSN: 2169897X
出版年: 2016
语种: 英语
英文关键词: Bias adjustment
; Climate change indices
; EURO-CORDEX
英文摘要: Statistical bias-adjustment of climate models' outputs is being increasingly used for assessing the impact of climate change on several sectors. It is known that these techniques may alter the mean climate signal of the adjusted variable; however, the effect on the projected occurrence of climate extremes is less commonly investigated. Here the outputs of an ensemble of high-resolution (0.11°) regional climate models (RCM) from the Coordinated Regional-climate Downscaling Experiment for Europe (EURO-CORDEX) have been bias adjusted, and a number of climate indices from the Expert Team on Climate Change Detection and Indices have been calculated for the present (1981-2010) and future (2071-2100) climate. Indices include absolute-thresholds indices, percentile-based indices, and indices based on the duration of an event. Results show that absolute-threshold indices are largely affected by bias adjustment, as they depend strongly on both the present mean climate value (usually largely biased in the original RCMs) and its shift under climate change. The change of percentile-based indices is less affected by bias adjustment, as that of indices based on the duration of an event (e.g., consecutive dry days or heat waves) although the present climate value can differ between original and bias-adjusted results. Indices like R95ptot (the total amount of precipitation larger than the 95th reference percentile) are largely affected by bias adjustment, although, when analyzing an ensemble of RCMs, the differences are usually smaller than, or comparable to, the intermodel variability. ©2016. American Geophysical Union. All Rights Reserved. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/62943
Appears in Collections: 影响、适应和脆弱性 气候减缓与适应
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作者单位: European Commission, Joint Research Centre Institute for Environment and Sustainability Ispra Italy
Recommended Citation:
Dosio A.. Projections of climate change indices of temperature and precipitation from an ensemble of bias-adjusted high-resolution EURO-CORDEX regional climate models[J]. Journal of Geophysical Research: Atmospheres,2016-01-01