. 2018 Apr 20;126(4):047010. doi: 10.1289/EHP3062

Table 1.

Prefecture/CJP-specific daily mean temperatures ( $° C$ ) with standard deviations projected in each province/municipality during 2009–2014 and the 2030s, 2050s, and 2090s

Province or municipality^a	RCP 4.5				RCP 8.5
Province or municipality^a	2009–2014	2030s	2050s	2090s	2009–2014	2030s	2050s	2090s
Northeast
Heilongjiang	$3.9 \pm 1.6$	$4.7 \pm 1.6$	$5.2 \pm 1.5$	$5.7 \pm 1.6$	$3.9 \pm 1.7$	$4.9 \pm 1.6$	$6.0 \pm 1.6$	$8.8 \pm 1.4$
Jilin	$6.5 \pm 0.7$	$7.2 \pm 0.7$	$7.7 \pm 0.7$	$8.3 \pm 0.7$	$6.5 \pm 0.7$	$7.4 \pm 0.7$	$8.5 \pm 0.7$	$11.1 \pm 0.7$
Liaoning	$9.6 \pm 1.2$	$10.3 \pm 1.2$	$10.9 \pm 1.2$	$11.4 \pm 1.2$	$9.7 \pm 1.1$	$10.5 \pm 1.1$	$11.6 \pm 1.2$	$14.0 \pm 1.2$
Inner Mongolia
Inner Mongolia	$6.9 \pm 2.8$	$7.7 \pm 2.8$	$8.2 \pm 2.7$	$8.7 \pm 2.7$	$7.0 \pm 2.8$	$7.9 \pm 2.7$	$9.0 \pm 2.7$	$11.5 \pm 2.6$
North
Beijing^b	13.1	13.8	14.3	14.8	13.2	14.0	15.0	17.1
Tianjin^b	13.7	14.3	14.7	15.1	13.7	14.4	15.3	17.1
Hebei	$13.1 \pm 1.7$	$13.7 \pm 1.7$	$14.2 \pm 1.7$	$14.7 \pm 1.7$	$13.1 \pm 1.7$	$13.9 \pm 1.7$	$14.9 \pm 1.7$	$17.0 \pm 1.6$
Shanxi	$11.2 \pm 2.7$	$11.8 \pm 2.6$	$12.3 \pm 2.6$	$12.8 \pm 2.6$	$11.2 \pm 2.7$	$12.0 \pm 2.7$	$13.0 \pm 2.6$	$15.0 \pm 2.6$
Northwest
Xinjiang	$10.8 \pm 2.6$	$11.4 \pm 2.5$	$12.1 \pm 2.4$	$12.6 \pm 2.4$	$10.8 \pm 2.5$	$11.8 \pm 2.4$	$12.9 \pm 2.3$	$15.5 \pm 2.1$
Ningxia	$9.7 \pm 1.2$	$10.3 \pm 1.2$	$10.9 \pm 1.2$	$11.3 \pm 1.2$	$9.7 \pm 1.2$	$10.5 \pm 1.2$	$11.5 \pm 1.2$	$13.7 \pm 1.2$
Gansu	$8.5 \pm 2.9$	$9.2 \pm 2.9$	$9.7 \pm 2.9$	$10.2 \pm 2.9$	$8.5 \pm 2.9$	$9.4 \pm 2.9$	$10.4 \pm 2.9$	$12.5 \pm 2.8$
Shaanxi	$13.3 \pm 2.8$	$13.9 \pm 2.8$	$14.5 \pm 2.8$	$14.9 \pm 2.8$	$13.3 \pm 2.8$	$14.1 \pm 2.8$	$15.1 \pm 2.8$	$17.1 \pm 2.8$
East
Shandong	$13.4 \pm 1.9$	$14.0 \pm 1.9$	$14.6 \pm 1.9$	$15.0 \pm 1.9$	$13.4 \pm 1.9$	$14.2 \pm 1.9$	$15.2 \pm 1.9$	$17.2 \pm 2.0$
Jiangsu	$16.1 \pm 0.7$	$16.7 \pm 0.7$	$17.3 \pm 0.7$	$17.8 \pm 0.7$	$16.1 \pm 0.7$	$17.0 \pm 0.7$	$18.0 \pm 0.7$	$20.0 \pm 0.7$
Anhui	$16.7 \pm 0.7$	$17.3 \pm 0.7$	$17.9 \pm 0.7$	$18.4 \pm 0.7$	$16.7 \pm 0.7$	$17.6 \pm 0.7$	$18.5 \pm 0.7$	$20.6 \pm 0.7$
Shanghai^b	16.8	17.5	18.1	18.5	16.8	17.7	18.7	20.8
Zhejiang	$17.9 \pm 0.7$	$18.6 \pm 0.7$	$19.1 \pm 0.7$	$19.6 \pm 0.8$	$18.0 \pm 0.7$	$18.8 \pm 0.7$	$19.8 \pm 0.8$	$21.8 \pm 0.8$
Jiangxi	$18.4 \pm 2.0$	$19.1 \pm 2.0$	$19.6 \pm 2.0$	$20.1 \pm 2.0$	$18.4 \pm 2.0$	$19.2 \pm 2.0$	$20.2 \pm 2.0$	$22.2 \pm 2.0$
Fujian	$20.9 \pm 1.7$	$21.5 \pm 1.7$	$22.0 \pm 1.7$	$22.5 \pm 1.7$	$20.8 \pm 1.7$	$21.6 \pm 1.7$	$22.6 \pm 1.7$	$24.6 \pm 1.7$
Central region
Henan	$15.1 \pm 0.9$	$15.7 \pm 0.9$	$16.2 \pm 0.9$	$16.6 \pm 0.9$	$15.1 \pm 0.9$	$15.9 \pm 0.9$	$16.8 \pm 0.9$	$18.6 \pm 1.0$
Hubei	$17.4 \pm 0.8$	$17.9 \pm 0.8$	$18.5 \pm 0.8$	$18.9 \pm 0.8$	$17.4 \pm 0.8$	$18.2 \pm 0.8$	$19.1 \pm 0.8$	$21.0 \pm 0.8$
Hunan	$17.4 \pm 2.2$	$18 \pm 2.2$	$18.6 \pm 2.2$	$19.0 \pm 2.2$	$17.4 \pm 2.2$	$18.2 \pm 2.2$	$19.1 \pm 2.2$	$21.1 \pm 2.3$
Qingzang
Qinghai	$5.4 \pm 2.8$	$6.1 \pm 2.8$	$6.7 \pm 2.8$	$7.2 \pm 2.8$	$5.3 \pm 2.8$	$6.3 \pm 2.8$	$7.4 \pm 2.8$	$9.8 \pm 2.8$
Tibet	$8.5 \pm 4.1$	$9.1 \pm 4.0$	$9.6 \pm 3.9$	$10.1 \pm 3.9$	$8.4 \pm 4.1$	$9.3 \pm 4.0$	$10.2 \pm 3.9$	$12.4 \pm 3.7$
Southwest
Sichuan	$17.5 \pm 2.7$	$18.0 \pm 2.7$	$18.5 \pm 2.7$	$18.9 \pm 2.7$	$17.4 \pm 2.7$	$18.1 \pm 2.7$	$19.0 \pm 2.7$	$20.7 \pm 2.7$
Chongqing^b	19.4	19.8	20.4	20.8	19.3	20.0	20.9	22.6
Guizhou	$15.9 \pm 1.8$	$16.4 \pm 1.8$	$17.0 \pm 1.8$	$17.4 \pm 1.8$	$15.8 \pm 1.8$	$16.6 \pm 1.8$	$17.4 \pm 1.9$	$19.3 \pm 1.9$
Yunnan	$16.8 \pm 3.6$	$17.4 \pm 3.5$	$17.8 \pm 3.5$	$18.2 \pm 3.5$	$16.8 \pm 3.6$	$17.5 \pm 3.5$	$18.3 \pm 3.4$	$20.0 \pm 3.3$
South
Guangdong	$23.1 \pm 0.6$	$23.7 \pm 0.6$	$24.2 \pm 0.6$	$24.7 \pm 0.6$	$23.0 \pm 0.6$	$23.8 \pm 0.6$	$24.8 \pm 0.6$	$26.5 \pm 0.6$
Guangxi	$22.5 \pm 1.1$	$23.0 \pm 1.1$	$23.6 \pm 1.1$	$24.0 \pm 1.0$	$22.5 \pm 1.1$	$23.2 \pm 1.0$	$24.1 \pm 1.0$	$25.7 \pm 1.0$
Hainan	$25.5 \pm 0.7$	$26.2 \pm 0.6$	$26.8 \pm 0.6$	$27.2 \pm 0.6$	$25.5 \pm 0.7$	$26.3 \pm 0.6$	$27.3 \pm 0.6$	$29.3 \pm 0.4$

Note: Temperature projections from 28 general climate models were downscaled from the dataset of Coupled Model Intercomparison Project phase 5. CJP, county under the jurisdiction of province; RCP, Representative Concentration Pathway.

^{^a}

Provinces or municipalities are sorted by region and ordered by latitude from high to low.

^{^b}

No standard deviations are provided for municipalities because they are treated as megacities in this study.