Sciences in Cold and Arid Regions ›› 2020, Vol. 12 ›› Issue (6): 389403.doi: 10.3724/SP.J.1226.2020.00389
Simulation and projection of climate change using CMIP6 Muti-models in the Belt and Road Region
YanRan Lü1,Tong Jiang1(),YanJun Wang1,BuDa Su1,JinLong Huang1,Hui Tao2
- 1.Institute for Disaster Risk Management/ School of Geographical Sciences, Nanjing University of Information Science & Technology, Nanjing, Jiangsu 210044, China
2.State Key Laboratory of Desert and Oasis Ecology, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi, Xinjiang 830011, China
Beck HE, Zimmermann NE, Mcvicar TR, et al., 2018. Present and future Köppen-Geiger climate classification maps at 1-km resolution. Scientific Data, 5: 180214. DOI: 10.1038/sdata.2018.214.
doi: 10.1038/sdata.2018.214 |
|
Chen HP, Sun JQ, Lin WQ, et al., 2020. Comparison of CMIP6 and CMIP5 models in simulating climate extremes. Science Bulletin, 65(17): 1415-1418. | |
Cooke RU, Warren A, Goudie A, 1993. Desert Geomorphology. 2nd edition. London: UCL Press, pp. 10-20. | |
Coumou D, Rahmstorf S, 2012. A decade of weather extremes. Nature Climate Change, 2(7): 491-496. DOI: 10.1038/nclimate1452.
doi: 10.1038/nclimate1452 |
|
IPCC, 2013. Climate change 2013: The physical science basis. Contribution of Working Group I to the Fifth Assessment Report of IPCC the Intergovernmental Panel on Climate Change. United Kingdom and New York, NY, USA: Cambridge University Press. | |
IPCC, 2014. Climate Change 2014: impacts, adaptation, and vulnerability. Contribution of Working Group Ⅱ to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change. Cambridge and New York, Cambridge University Press. | |
IPCC, 2018. Special Report1.5 (SR15) Summary for Policy Makers. Korea Incheon. | |
Jiang T, Tan K, Wang YJ, et al., 2020. Spatial-temporal variation of meteorological disasters in the "Belt and Road" regions. Science & Technology Review, 38(8): 57-65. DOI: 10.3981/j.issn.1000-7857.2020.08.007.
doi: 10.3981/j.issn.1000-7857.2020.08.007 |
|
Kriticos DJ, Webber BL, Leriche A, et al., 2012. CliMond: global high-resolution historical and future scenario climate surfaces for bioclimatic modelling. Methods in Ecology and Evolution, 3: 53-64. DOI: 10.1111/j.2041-210X. 2011.00134.x.
doi: 10.1111/j.2041-210X. 2011.00134.x |
|
Li H, Sheffield J, Wood EF, 2010. Bias correction of monthly precipitation and temperature fields from Intergovernmental Panel on Climate Change AR4 models using equidistant quantile matching. Journal of Geophysical Research, 115: D10101. | |
Lü YR, Jiang T, Tao H, et al., 2020. Spatial-temporal patterns of population exposed to the extreme maximum temperature events in the Belt and Road regions. Science & Technology Review, 38(16): 68-79. DOI: 10.3981/j.issn.1000-7857.2020.
doi: 10.3981/j.issn.1000-7857.2020 |
|
O'Neill BC, Kriegler E, Ebi KL, et al., 2017. The roads ahead: narratives for shared socioeconomic pathways describing world futures in the 21st century. Global Environmental Change, 42: 169-80. DOI: 10.1016/j.gloenvcha.2015. 01.004.
doi: 10.1016/j.gloenvcha.2015. 01.004 |
|
O'Neill BC, Kriegler E, Riahi K, et al., 2014. A new scenario framework for climate change research: the concept of Shared Socioeconomic Pathways. Climatic Change, 122(3): 387-400. DOI: 10.1201/b20720-17.
doi: 10.1201/b20720-17 |
|
Peel MC, Finlayson BL, McMahon TA, 2007. Updated world map of the Köppen-Geiger climate classification. Hydrology and Earth System Sciences, 11: 1633-1644. DOI: 10. 5194/hess-11-1633-2007.
doi: 10. 5194/hess-11-1633-2007 |
|
Su BD, HuangJL, Fischer T, et al., 2018. Drought losses in China may triple between 1.5 °C and2.0 °C warming: policy hints of shared socio-economic pathways. PNAS, 115(42): 10600-10605. DOI: 10.1073/pnas.1802129115.
doi: 10.1073/pnas.1802129115 |
|
Wang B, Zhou TJ, Yu YQ, et al., 2018. A perspective on earth system model development. Acta Meteorologica Sinica, 66(6): 857-869. | |
Wang HJ, Tang GL, Chen HS, et al., 2020. The Belt and Road region climate change: facts, impacts and possible risks. Transactions of Atmospheric Sciences, 43(1): 1-9. DOI: 10. 13878/j.cnki.dqkxxb.20191110003.
doi: 10. 13878/j.cnki.dqkxxb.20191110003 |
|
Wood AW, Leung LR, Sridhar V, et al., 2004. Hydrologic implications of dynamical and statistical approaches to downscaling climate model outputs, Climatic Change, 62: 189-216. | |
World Meteorological Organization (WMO), 2019. The Global Climate in 2015-2019. Switzerland: WMO. | |
Wu SH, Liu LL, Liu YH, et al., 2018. Geographical patterns and environmental change risks in terrestrial areas of the Belt and Road. Acta Geographica Sinica, 73(7): 1214-1225. DOI: 10.11821/dlxb201807003.
doi: 10.11821/dlxb201807003 |
|
Zhang JY, Zhuang YH, Li K, 2019. Future Projections of Climate Change over Major Regions of Belt and Road. China Meteorological Press, Beijing, pp. 2-5. | |
Zho ZC, Luo Y, 2016. Design of CMIP6. Climate Change Research, 12(3): 258-260. DOI: 10.12006/j.issn.1673-1719. 2016.066.
doi: 10.12006/j.issn.1673-1719. 2016.066 |
|
Zhou BT, Xu Y, Han ZY, et al., 2020. CMIP5 projected changes in mean and extreme climate in the Belt and Road region. Transactions of Atmospheric Sciences, 43(1): 255-264. DOI: 10. 13878 /j.cnki.dqkxxb.20191125009.
doi: 10. 13878 /j.cnki.dqkxxb.20191125009 |
|
Zhou J, Jiang T, Wang YJ, et al., 2020. Spatiotemporal variations of aridity index over the Belt and Road region under the 1.5 °C and2.0 °C warming scenarios. Journal of Geographical Sciences, 30(1): 37-52. |
No related articles found! |