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Bias-corrected RCMs

Authors: Changyong Park; Seok-Woo Shin; Cha, Dong-Hyun; Youngeun Choi; Min, Seung-Ki; Yeon-Hee Kim; Chang, Eun-Chul; +3 Authors

Bias-corrected RCMs

Abstract

We selected the land area over East Asia (100°E–150°E and 20°N–50°N) as the analysis domain, which includes Korea, Japan, China (except for the western arid region), and parts of Mongolia and Russia. The major analysis variables are the daily mean surface temperature (TAS) and daily precipitation (PR). Multiple RCM datasets with 25 km horizontal spatial resolution forced by three Climate Model Intercomparison Project phase 5 (CMIP5) GCMs (HadGEM2-AO, MPI-ESM-LR, and GFDL-ESM-2M) included in the CORDEX-East Asia phase Ⅱ project were used to estimate the uncertainties of future climate projections. The historical experiment for 1981–2005 and Representative Concentration Pathway (RCP) 2.6 and RCP 8.5 scenarios for 2006–2099 were applied in this study. The variance scaling (VS) and quantile mapping of the entire period (QME) were applied to the TAS and PR for each grid, respectively.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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