Changes of extreme high temperature and heavy precipitation in the Guangdong-Hong Kong-Macao Greater Bay Area

References

• Bai X, Dawson RJ, Ürge-Vorsatz D, Delgado GC, Salisu Barau A, Dhakal S, Dodman D, Leonardsen L, Masson-Delmotte V, Roberts DC, et al. 2018. Six research priorities for cities and climate change. Nature. 555(7694):23–25.
   Web of Science ®Google Scholar
• Braganza K, Karoly DJ, Arblaster JM. 2004. Diurnal temperature range as an index of global climate change during the twentieth century. Geophys Res Lett. 31(13):L13217.
   Web of Science ®Google Scholar
• Cannon AJ, Sobie SR, Murdock TQ. 2015. Bias correction of GCM precipitation by quantile mapping: How well do methods preserve changes in quantiles and extremes? J Climate. 28(17):6938–6959.
   Web of Science ®Google Scholar
• Chen Y, Qin J, Dong L, Zhang T. 2017. The formation regularity and control measures of urban pluvial floods in Guangzhou City. China Flood Drought Manag. (in Chinese). 27(5):72–76.
   Google Scholar
• Committee of South China Regional Climate Change Assessment Report. 2013. South China Regional Climate Change Assessment Report Summary for Policymakers (2012). Beijing: China Meteorological Press; p. 134.
   Google Scholar
• Dong S, Xu Y, Zhou B. 2014. Projected risk of extreme heat in China based on CMIP5 models. Adv. Climate Change Res. 10(5):365–369.
   Google Scholar
• Du Y, Yang H, Cao C, Zhang L. 2016. Future change of precipitation extremes over the Pearl River basin from regional climate models. Journal of Tropical Meteorology. 22(1):57–65.
   Web of Science ®Google Scholar
• Gao X-J, Wu J, Shi Y, Wu J, Han Z-Y, Zhang D-F, Tong Y, Li R-K, Xu Y, Giorgi F. 2018. Future changes in thermal comfort conditions over China based on multi-RegCM4 simulations. Atmos Oceanic Sci Lett. 11(4):291–299.
   Web of Science ®Google Scholar
• Geiger T, Murakami D, Frieler K, Yamagata Y. 2017. Spatially-explicit Gross Cell Product (GCP) time series: past observations (1850-2000) harmonized with future projections according the Shared Socioeconomic Pathways (2010-2100). GFZ Data Services.
   Google Scholar
• Han Z, Gao X, Xu Y. 2020. Mean and extreme precipitation projection over land area of East Asia based on multiple regional climate models. Chin J Geophys. in press. doi: https://doi.org/10.6038/cjg2021O0103
   Google Scholar
• Han Z, Shi Y, Wu J, Xu Y, Zhou B. 2019. Combined dynamical and statistical downscaling for high-resolution projections of multiple climate variables in the Beijing–Tianjin–Hebei Region of China. J Appl Meteor Climatol. 58(11):2387–2403.
   Web of Science ®Google Scholar
• Han Z, Tong Y, Gao X, Xu Y. 2018. Correction based on quantile mapping for temperature simulated by the RegCM4. Climate Change Res. 14(4):331–340. (in Chinese).
   Google Scholar
• Han Z, Zhou B, Xu Y, Wu J, Shi Y. 2017. Projected changes in haze pollution potential in China: an ensemble of regional climate model simulations. Atmos Chem Phys. 17(16):10109–10123.
   Web of Science ®Google Scholar
• Hausfather Z, Peters GP. 2020. Emissions - the 'business as usual' story is misleading . Nature. 577(7792):618–620.
   PubMed Web of Science ®Google Scholar
• He L, Li G, Li K, Shu Y. 2014. Estimation of regional sea level change in the Pearl River Delta from tide gauge and satellite altimetry data. Estuarine Coastal Shelf Sci. 141:69–77.
   Web of Science ®Google Scholar
• He Y, Mok H, Lai ES. 2016. Projection of sea‐level change in the vicinity of Hong Kong in the 21st century. Int J Climatol. 36(9):3237–3244.
   Web of Science ®Google Scholar
• Huang X, Zhou T, Dai A, Li H, Li C, Chen X, Lu J, Von Storch J-S, Wu B. 2020. South Asian summer monsoon projections constrained by the interdecadal Pacific oscillation. Sci Adv. 6(11):eaay6546.
   PubMed Web of Science ®Google Scholar
• Hurtt GC, Chini L, Sahajpal R, Frolking S, Bodirsky BL, Calvin K, Doelman JC, Fisk J, Fujimori S, Klein Goldewijk K, et al. 2020. Harmonization of Global Land-Use Change and Management for the Period 850-2100 (LUH2) for CMIP6. Geosci. Geosci Model Dev. 13(11):5425–5464.
   Web of Science ®Google Scholar
• IPCC 2014. Climate Change 2014: Impacts, Adaptation, and Vulnerability. Part A: Global and Sectoral Aspects. Contribution of Working Group II to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change. Cambridge: Cambridge University Press. p. 535–612.
   Google Scholar
• Jiang R, Yu X, Xie J, Zhao Y, Li F, Yang M. 2018. Recent changes in daily climate extremes in a serious water shortage metropolitan region, a case study in Jing-Jin-Ji of China. Theor Appl Climatol. 134(1-2):565–584.
   Web of Science ®Google Scholar
• Jones B, O’Neill BC. 2016. Spatially explicit global population scenarios consistent with the Shared Socioeconomic Pathways. Environ Res Lett. 11(8):084003.
   Web of Science ®Google Scholar
• Kong L, Lau KK-L, Yuan C, Chen Y, Xu Y, Ren C, Ng E. 2017. Regulation of outdoor thermal comfort by trees in Hong Kong. Sustain Cities Soc. 31:12–25.
   Web of Science ®Google Scholar
• Lauritsen RG, Rogers JC. 2012. US diurnal temperature range variability and regional causal mechanisms, 1901–2002. J Climate. 25(20):7216–7231.
   Web of Science ®Google Scholar
• Lu C, Huang G, Wang X. 2019. Projected changes in temperature, precipitation, and their extremes over China through the RegCM. Clim Dyn. 53(9-10):5859–5880.
   Web of Science ®Google Scholar
• Luo X, Du Y, Zheng J. 2016. Risk regionalization of human health caused by high temperature & heat wave in Guangdong province. Climate Change Res. 12(2):139–146.
   Google Scholar
• Luo M, Lau N-C. 2017. Heat waves in southern China: Synoptic behavior, long-term change, and urbanization effects. J Climate. 30(2):703–720.
   Web of Science ®Google Scholar
• Murakami D, Yamagata Y. 2019. Estimation of gridded population and GDP scenarios with spatially explicit statistical downscaling. Sustainability. 11(7):2106.
   Web of Science ®Google Scholar
• National Climate Center (NCC). 2015. China Climate Bulletin 2014. 50pp.
   Google Scholar
• National Climate Center (NCC). 2020. China Climate Bulletin 2019. 54pp.
   Google Scholar
• Ng E, Chen L, Wang Y, Yuan C. 2012. A study on the cooling effects of greening in a high-density city: An experience from Hong Kong. Build Environ. 47:256–271.
   Web of Science ®Google Scholar
• Qin D, Zhang J, Shan C, Song L. 2015. China National Assessment Report on Risk Management and Adaptation of Climate Extremes and Disasters. Beijing: Science Press; p. 136.
   Google Scholar
• Ren C, Ng EYy, Katzschner L. 2011. Urban climatic map studies: a review. Int J Climatol. 31(15):2213–2233.
   Web of Science ®Google Scholar
• Ren Z, Yu Y, Zou F, Xu Y. 2012. Quality detection of surface historical basic meteorological data. J. Appl Meteor Sci. 23(6):739–747.
   Google Scholar
• Ren G, Zhou Y. 2014. Urbanization effect on trends of extreme temperature indices of national stations over mainland China, 1961–2008. J Climate. 27(6):2340–2360.
   Web of Science ®Google Scholar
• Shi P, Tang L, Wang L, Sun T, Liu L, Cao W, Zhu Y. 2015. Post-Heading heat stress in Rice of South China during 1981-2010. PloS One. 10(6):e0130642.
   PubMed Web of Science ®Google Scholar
• Sillmann J, Kharin V, Zhang X, Zwiers F, Bronaugh D. 2013. Climate extremes indices in the CMIP5 multimodel ensemble: Part 1. Model evaluation in the present climate. J Geophys Res Atmos. 118(4):1716–1733.
   Web of Science ®Google Scholar
• Song X, Zhang J, AghaKouchak A, Roy SS, Xuan Y, Wang G, He R, Wang X, Liu C. 2014. Rapid urbanization and changes in spatiotemporal characteristics of precipitation in Beijing metropolitan area. J Geophys Res Atmos. 119(19):11,250–211,271.
   Web of Science ®Google Scholar
• Sun Y, Zhang X, Ren G, Zwiers FW, Hu T. 2016. Contribution of urbanization to warming in China. Nature Clim Change. 6(7):706–709.
   Web of Science ®Google Scholar
• Sun Y, Zhang X, Zwiers FW, Song L, Wan H, Hu T, Yin H, Ren G. 2014. Rapid increase in the risk of extreme summer heat in Eastern China. Nature Clim Change. 4(12):1082–1085.
   Web of Science ®Google Scholar
• Tong Y, Gao X, Han Z, Xu Y. 2017. Bias correction of daily precipitation simulated by RegCM4 model over China. Chin J Atmos Sci. (in Chinese). 41(6):1156–1166.
   Google Scholar
• Tong Y, Gao X, Han Z, Xu Y, Xu Y, Giorgi F. 2020. Bias correction of temperature and precipitation over China for RCM simulations using the QM and QDM methods. Clim Dyn. doi:https://doi.org/10.1007/s00382-020-05447-4
   Google Scholar
• Wang L, Huang G, Zhou W, Chen W. 2016. Historical change and future scenarios of sea level rise in Macau and adjacent waters. Adv Atmos Sci. 33(4):462–475.
   Web of Science ®Google Scholar
• Wang H-J, Sun J-Q, Chen H-P, Zhu Y-L, Zhang Y, Jiang D-B, Lang X-M, Fan K, Yu E-T, Yang S. 2012. Extreme climate in China: Facts, simulation and projection. metz. 21(3):279–304.
   Web of Science ®Google Scholar
• Wang Z, Xu H, Wang Y. 2017. Influence of pearl river delta urban cluster development on urban heat island intensity. Meteorol. Monthly. 43(12):1554–1561.
   Google Scholar
• Wilcox RR. 2010. Fundamentals of modern statistical methods: Substantially improving power and accuracy. New York: Springer.
   Google Scholar
• Wong M, Mok H, Lee T. 2011. Observed changes in extreme weather indices in Hong Kong. Int J Climatol. 31(15):2300–2311.
   Web of Science ®Google Scholar
• Wu J, Gao X. 2013. A gridded daily observation dataset over China region and comparison with the other datasets. Chin J Geophys. 56(4):1102–1111.
   Web of Science ®Google Scholar
• Wu S, Liu L, Gao J, Wang W. 2019. Integrate risk from climate change in china under global warming of 1.5 and 2.0 C. Earth's Future. 7(12):1307–1322.
   Web of Science ®Google Scholar
• Wu S, Pan T, He S. 2011b. Primary study on the theories and methods of research on climate change risk. Adv Clim Change Res. 7(5):363–368.
   Google Scholar
• Wu Z, Xiang W. 2016. City waterlogging: from the perspective of urban ecosystem integrity, complexity and diversity. Acta Ecol Sin. 36(16):4955–4957.
   Google Scholar
• Wu K, Yang X. 2013. Urbanization and heterogeneous surface warming in eastern China. Chin Sci Bull. 58(12):1363–1373.
   Google Scholar
• Wu S, Dai E, Ge Q, et al. 2011a. The comprehensive risk prevention: Chinese comprehensive climate change risks. Beijing: Science Press. 217pp.
   Google Scholar
• Xie P, Wang Y, Liu Y. 2015. Incorporating social vulnerability to assess population health risk due to heat stress in China. Acta Geograph Sin. 70(7):1041–1051.
   Google Scholar
• Xu Y, Zhang B, Zhou B, Dong S, Yu L, Li R. 2014. Projected Flood Risks in China Based on CMIP5. Adv Clim Change Res. 5(2):57–65.
   Google Scholar
• Yang Z, Chen Y, Wu Z, Zheng Z, Li J. 2019. Spatial pattern of urban heat island and multivariate modeling of impact factors in the Guangdong-Hong Kong-Macao Greater Bay area. Resour Sci. 41(6):1154–1166.
   Google Scholar
• Yin X, Dong S, Han Z, Wang R. 2018. Projected risk of drought and flood at Yangtze River Delta for the next 50 years. J Meteorol Environ. (in Chinese). 34(5):66–75.
   Google Scholar
• Yu R, Zhai P, Lu Y. 2018. Implications of differential effects between 1.5 and 2° C global warming on temperature and precipitation extremes in China's urban agglomerations. Int J Climatol. 38(5):2374–2385.
   Web of Science ®Google Scholar
• Zhai P, Yuan Y, Yu R, Guo J. 2019. Climate change and sustainable development for cities. Chin Sci Bull. 64(19):1995–2001.
   Google Scholar
• Zhang W, Cao Y, Zhu Y, Wu Y, Ji X, He Y, Xu Y, Wang W. 2017. Flood frequency analysis for alterations of extreme maximum water levels in the Pearl River Delta. Ocean Eng. 129:117–132.
   Web of Science ®Google Scholar
• Zhang D, Gao X. 2020. Climate change of the 21st century over China from the ensemble of RegCM4 simulations. Chin Sci Bull. 65(23):2516–2526.
   Google Scholar
• Zhang S, Liu Y, Huang H. 2017. Research on quantitative evaluations and spatial and temporal distribution of heat islands for the Pearl River Delta agglomeration. Ecol Environ Sci. 26(7):1157–1166.
   Google Scholar
• Zhang S, Tao F, Zhang Z. 2016. Changes in extreme temperatures and their impacts on rice yields in southern China from 1981 to 2009. Field Crops Res. 189:43–50.
   Web of Science ®Google Scholar
• Zhang A, Xiao L, Min C, Chen S, Kulie M, Huang C, Liang Z. 2019. Evaluation of latest GPM-Era high-resolution satellite precipitation products during the May 2017 Guangdong extreme rainfall event. Atmos Res. 216:76–85.
   Web of Science ®Google Scholar
• Zhao J, Guo J. 2015. Multidecadal changes in moisture condition during climatic growing period of crops in Northeast China. Phys Chem Earth Parts A/B/C. 87-88:28–42.
   Web of Science ®Google Scholar
• Zhao Y, Zou X, Cao L, Xu X. 2014. Changes in precipitation extremes over the Pearl River Basin, southern China, during 1960–2012. Quat. Int. 333:26–39.
   Web of Science ®Google Scholar
• Zhou B, Xu Y, Wu J, Dong S, Shi Y. 2016. Changes in temperature and precipitation extreme indices over China: analysis of a high‐resolution grid dataset. Int J Climatol. 36(3):1051–1066.
   Web of Science ®Google Scholar
• Zhou B, Zeng H, Zhao L, Han Z. 2019. Climate change and climate risks in the Guangdong-Hong Kong-Macao Greater Bay Area. Annual report on actions to address climate change; p. 239–258.
   Google Scholar
• Zhu J, Hu K, Lu X, Huang X, Liu K, Wu X. 2015. A review of geothermal energy resources, development, and applications in China: Current status and prospects. Energy. 93:466–483.
   Web of Science ®Google Scholar
• Zuo B, Li J, Sun C, Zhou X. 2019. A new statistical method for detecting trend turning. Theor Appl Climatol. 138(1-2):201–213.
   Web of Science ®Google Scholar