TY - JOUR
T1 - Projected changes in seasonal temperature extremes across China from 2017 to 2100 based on statistical downscaling
AU - Chen, Yongqin David
AU - Li, Jianfeng
AU - Zhang, Qiang
AU - Gu, Xihui
N1 - Funding Information:
The work described in this paper was supported by the Direct Grant from the Chinese University of Hong Kong (Project No. 4052134 ), the grant from the Research Grants Council of the Hong Kong Special Administrative Region , China (Project No. HKBU22301916 ), and the Faculty Research Grant from Hong Kong Baptist University (Project No. FRG2/15-16/043 ). We acknowledge the World Climate Research Programme's Working Group on Coupled Modelling, which is responsible for CMIP, and we thank the climate modelling groups (listed in Table 1 ) for developing and making their model output available. For CMIP, the U.S. Department of Energy's Program for Climate Model Diagnosis and Intercomparison provides coordinating support and led development of software infrastructure in partnership with the Global Organization for Earth System Science Portals. Daily temperature data in China are collected from the National Meteorological Information Center for the China Meteorological Administration at http://www.cma.gov.cn/2011qxfw/2011qsjgx/ . Detailed information of the data can be obtained by contacting to the corresponding author at [email protected] .
PY - 2018/7
Y1 - 2018/7
N2 - Based on observations of daily temperature at 2052 ground stations and outputs of General Circulation Models (GCMs) from the Coupled Model Intercomparison Project Phase 5 (CMIP5), we study the changes in seasonal temperature extremes and their spatio-temporal patterns across China during the period from 2071 to 2100 relative to the period from 1971 to 2000. The grid-scale extremes estimated from GCM outputs are statistically downscaled to the site scale by transfer functions developed based on the quantiles of grid-scale simulations and on-site observations of the extremes. The assessment of the downscaled seasonal temperature extremes based on Taylor diagram and two-sample Kolmogorv-Smirnov test show that the seasonal maximum/minimum of daily maximum and minimum temperature can be well represented by the downscaled GCM outputs. The seasonal extremes of daily maximum and minimum temperature increase faster in autumn and winter compared to those in spring and summer. The warm nights defined as seasonal fraction of time with daily minimum temperature higher than its 90th percentile centered on a 5-day window are projected to increase substantially in summer. In general, temperature extremes in northern China increase faster than southern China, especially in autumn and winter. The largest increases in seasonal minimum are identified in the most northeastern China in autumn and winter, with magnitudes of >8 °C. In southern China, the increases of seasonal extremes of daily maximum and minimum temperature are generally <2 °C under RCP2.6, and 4 °C under RCP8.5.
AB - Based on observations of daily temperature at 2052 ground stations and outputs of General Circulation Models (GCMs) from the Coupled Model Intercomparison Project Phase 5 (CMIP5), we study the changes in seasonal temperature extremes and their spatio-temporal patterns across China during the period from 2071 to 2100 relative to the period from 1971 to 2000. The grid-scale extremes estimated from GCM outputs are statistically downscaled to the site scale by transfer functions developed based on the quantiles of grid-scale simulations and on-site observations of the extremes. The assessment of the downscaled seasonal temperature extremes based on Taylor diagram and two-sample Kolmogorv-Smirnov test show that the seasonal maximum/minimum of daily maximum and minimum temperature can be well represented by the downscaled GCM outputs. The seasonal extremes of daily maximum and minimum temperature increase faster in autumn and winter compared to those in spring and summer. The warm nights defined as seasonal fraction of time with daily minimum temperature higher than its 90th percentile centered on a 5-day window are projected to increase substantially in summer. In general, temperature extremes in northern China increase faster than southern China, especially in autumn and winter. The largest increases in seasonal minimum are identified in the most northeastern China in autumn and winter, with magnitudes of >8 °C. In southern China, the increases of seasonal extremes of daily maximum and minimum temperature are generally <2 °C under RCP2.6, and 4 °C under RCP8.5.
UR - http://www.scopus.com/inward/record.url?scp=85046170919&partnerID=8YFLogxK
U2 - 10.1016/j.gloplacha.2018.04.002
DO - 10.1016/j.gloplacha.2018.04.002
M3 - Journal article
AN - SCOPUS:85046170919
SN - 0921-8181
VL - 166
SP - 30
EP - 40
JO - Global and Planetary Change
JF - Global and Planetary Change
ER -