|
Climate Change Research ›› 2020, Vol. 16 ›› Issue (6): 657-666.doi: 10.12006/j.issn.1673-1719.2019.226
• Changes in Climate System • Next Articles
CHENG Yang1,3(), ZHOU Bo-Tao2,3(), HAN Zhen-Yu4, XU Ying4
Received:
2019-09-25
Revised:
2019-12-03
Online:
2020-11-30
Published:
2020-12-03
Contact:
ZHOU Bo-Tao
E-mail:chengyang199102@163.com;zhoubt@nuist.edu.cn
CHENG Yang, ZHOU Bo-Tao, HAN Zhen-Yu, XU Ying. Evaluation of multi-RegCM4 dynamical downscaling simulations on cluster high temperature events in China[J]. Climate Change Research, 2020, 16(6): 657-666.
Add to citation manager EndNote|Ris|BibTeX
URL: http://www.climatechange.cn/EN/10.12006/j.issn.1673-1719.2019.226
Table 4 Statistics of the root mean square error (E) and S score for the simulated indices of the cluster high temperature events in China during 1981-2005
[1] | IPCC. Climate change 2013: the physical science basis [M]. Cambridge: Cambridge University Press, 2013: 1535 |
[2] | IPCC. Managing the risks of extreme events and disasters to advance climate change adaptation [M]. Cambridge: Cambridge University Press, 2012: 582 |
[3] | Zhai P M, Pan X H. Trends in temperature extremes during 1951-1999 in China[J]. Geophysical Research Letters, 2003,30:1913. DOI: 10.1029/2003GL018004 |
[4] |
Zhai P M, Zhang X, Wan H, et al. Trends in total precipitation and frequency of daily precipitation extremes over China[J]. Journal of Climate, 2005,18:1096-1108
doi: 10.1175/JCLI-3318.1 URL |
[5] |
Wang H J, Sun J Q, Chen H P, et al. Extreme climate in China: facts, simulation and projection[J]. Meteorologische Zeitschrift, 2012,21:279-304
doi: 10.1127/0941-2948/2012/0330 URL |
[6] |
Wang A H, Fu J J. Changes in daily climate extremes of observed temperature and precipitation in China[J]. Atmospheric and Oceanic Science Letters, 2013,6:312-319
doi: 10.3878/j.issn.1674-2834.12.0106 URL |
[7] |
Sun J Q, Ao J. Changes in precipitation and extreme precipitation in a warming environment in China[J]. Chinese Science Bulletin, 2013,58:1395-1401
doi: 10.1007/s11434-012-5542-z URL |
[8] |
Yin H, Donat M G, Alexander L V, et al. Multi-dataset comparison of gridded observed temperature and precipitation extremes over China[J]. International Journal of Climatology, 2015,35:2809-2827
doi: 10.1002/joc.2015.35.issue-10 URL |
[9] |
Zhou B T, Xu Y, Wu J, et al. Changes in temperature and precipitation extreme indices over China: analysis of a high-resolution grid dataset[J]. International Journal of Climatology, 2016,36:1051-1066
doi: 10.1002/joc.4400 URL |
[10] | Wang Y J, Zhou B T, Qin D H, et al. Changes in mean and extreme temperature and precipitation over the arid region of northwestern China: observation and projection[J]. Advances in Atmospheric Sciences, 2017,34:287-305 |
[11] |
Zhou B T, Wen H Q, Xu Y, et al. Projected changes in temperature and precipitation extremes in China by the CMIP5 multimodel ensembles[J]. Journal of Climate, 2014,27:6591-6611
doi: 10.1175/JCLI-D-13-00761.1 URL |
[12] |
Wu J, Zhou B T, Xu Y. Response of precipitation and its extremes over China to warming: CMIP5 simulation and projection[J]. Chinese Journal of Geophysics, 2015,58(5):461-473
doi: 10.1002/cjg2.2015.58.issue-5 URL |
[13] |
Xu Y, Gao X J, Giorgi F, et al. Projected changes in temperature and precipitation extremes over China as measured by 50-year return values and periods based on CMIP5 ensemble[J]. Advances in Atmospheric Sciences, 2018,35:376-388
doi: 10.1007/s00376-017-6269-1 URL |
[14] |
Guo J, Huang G, Wang X, et al. Dynamically-downscaled projections of changes in temperature extremes over China[J]. Climate Dynamics, 2018,50:1045-1066
doi: 10.1007/s00382-017-3660-7 URL |
[15] |
董思言, 徐影, 周波涛, 等. 基于CMIP5模式的中国地区未来高温灾害风险预估[J]. 气候变化研究进展, 2014,10(5):365-369.
doi: 10.3969/j.issn.1673-1719.2014.05.008 URL |
Dong S Y, Xu Y, Zhou B T, et al. Projected risk of extreme heat in China based on CMIP5 models[J]. Climate Change Research, 2014,10(5):365-369 (in Chinese) | |
[16] | 徐影, 张冰, 周波涛, 等. 基于CMIP5模式的中国地区未来洪涝灾害风险变化预估[J]. 气候变化研究进展, 2014,5(2):57-65. |
Xu Y, Zhang B, Zhou B T, et al. Projected risk of flooding disaster in China based on CMIP5 models[J]. Climate Change Research, 2014,5(2):57-65 (in Chinese) | |
[17] | Klein Tank A M G, Zwiers F W, Zhang X B. Guidelines on analysis of extremes in a changing climate in support of informed decisions for adaptation[C]. Climate Data and Monitoring, WCDMP No.72, World Meteorological Organization No. 1500, Geneva, Switzerland, 2009: 1-56 |
[18] |
Wang P Y, Tang J P, Wang S Y, et al. Regional heatwaves in China: a cluster analysis[J]. Climate Dynamics, 2018,50:1901-1917
doi: 10.1007/s00382-017-3728-4 URL |
[19] | 杨萍, 侯威, 封国林. 中国极端气候事件的群发性规律研究[J]. 气候与环境研究, 2010,15(4):365-370. |
Yang P, Hou W, Feng G L. A study of the characteristics of the cluster extreme events in China[J]. Climatic and Environmental Research, 2010,15(4):365-370 (in Chinese) | |
[20] | 杨萍, 封国林, 刘伟东, 等. 空间点过程理论在极端气候事件中的应用研究[J]. 应用气象学报, 2010,21(3):352-359. |
Yang P, Feng G L, Liu W D, et al. Cluster extreme events based on point process theory[J]. Journal of Applied Meteorological Science, 2010,21(3):352-359 (in Chinese) | |
[21] |
Ren F M, Cui D L, Gong Z Q, et al. An objective identification technique for regional extreme events[J]. Journal of Climate, 2012,25:7015-7027
doi: 10.1175/JCLI-D-11-00489.1 URL |
[22] | 龚志强, 王晓娟, 崔冬林, 等. 区域性极端低温事件的识别及其变化特征[J]. 应用气象学报, 2012,23(2):195-204. |
Gong Z Q, Wang X J, Cui D L, et al. The identification and changing characteristics of regional low temperature extreme events[J]. Journal of Applied Meteorological Science, 2012,23(2):195-204 (in Chinese) | |
[23] | 王晓娟, 沈柏竹, 龚志强, 等. 中国冬季区域性极端低温事件分类及其与气候指数极端性的联系[J]. 物理学报, 2013,62(22):438-448. |
Wang X J, Shen B Z, Gong Z Q, et al. The classification of winter regional extreme low temperature events in China and their corresponding relationship to climatic indices extreme anomaly[J]. Acta Physica Sinica, 2013,62(22):438-448 (in Chinese) | |
[24] | 王艳姣, 任福民, 闫峰. 中国区域持续性高温事件时空变化特征研究[J]. 地理科学, 2013,33(3):314-321. |
Wang Y J, Ren F M, Yan F. Study on temporal and spatial variations of regional continual high temperature event in China[J]. Scientia Geographica Sinica, 2013,33(3):314-321 (in Chinese) | |
[25] |
Wang Y J, Ren F M, Zhang X B. Spatial and temporal variations of regional high temperature events in China[J]. International Journal of Climatology, 2014,34:3054-3065
doi: 10.1002/joc.3893 URL |
[26] |
Zou X K, Ren F M. Changes in regional heavy rainfall events in China during 1961-2012[J]. Advances in Atmospheric Sciences, 2015,32:704-714
doi: 10.1007/s00376-014-4127-y URL |
[27] |
况雪源, 王遵娅, 张耀存, 等. 中国近50年来群发性高温事件的识别及统计特征[J]. 地球物理学报, 2014,57(6):1782-1791.
doi: 10.6038/cjg20140610 URL |
Kuang X Y, Wang Z Y, Zhang Y C, et al. Identification and statistical characteristics of the cluster high temperature events during last Fifty years[J]. Chinese Journal Geophysics, 2014,57(6):1782-1791 (in Chinese) | |
[28] |
Gao X J, Xu Y, Zhao Z C, et al. On the role of resolution and topography in the simulation of East Asia precipitation[J]. Theoretical and Applied Climatology, 2006,86:173-185
doi: 10.1007/s00704-005-0214-4 URL |
[29] |
Gao X J, Shi Y, Han Z Y, et al. Performance of RegCM4 over major river basins in China[J]. Advances in Atmospheric Sciences, 2017,34:441-455
doi: 10.1007/s00376-016-6179-7 URL |
[30] | Giorgi F, Jones C, Asrar G. Addressing climate information needs at the regional level: the CORDEX framework[J]. WMO Bulletin, 2009,58:175-183 |
[31] |
Yu E T, Sun J Q, Chen H P, et al. Evaluation of a high-resolution historical simulation over China: climatology and extremes[J]. Climate Dynamics, 2015,45:2013-2031
doi: 10.1007/s00382-014-2452-6 URL |
[32] |
Yao J C, Zhou T J, Guo Z, et al. Improved performance of high-resolution atmospheric models in simulating the East-Asian summer monsoon rainbelt[J]. Journal of Climate, 2017,30(21):8825-8840
doi: 10.1175/JCLI-D-16-0372.1 URL |
[33] |
Giorgi F, Coppola E, Solmon F, et al. RegCM4: model description and preliminary tests over multiple CORDEX domains[J]. Climate Research, 2012,52:7-29
doi: 10.3354/cr01018 URL |
[34] |
Gao X J, Shi Y, Giorgi F. Comparison of convective parameterizations in RegCM4 experiments over China with CLM as the land surface model[J]. Atmospheric and Oceanic Science Letters, 2016,9:246-254
doi: 10.1080/16742834.2016.1172938 URL |
[35] |
Gao X J, Wu J, Shi Y, et al. Future changes in thermal comfort conditions over China based on multi-RegCM4 simulations[J]. Atmospheric and Oceanic Science Letters, 2018,11(4):291-299
doi: 10.1080/16742834.2018.1471578 URL |
[36] |
Han Z Y, Zhou B T, Xu Y, et al. Projected changes in haze pollution potential in China: an ensemble of regional climate model simulations[J]. Atmospheric Chemistry and Physics, 2017,17:10109-10123
doi: 10.5194/acp-17-10109-2017 URL |
[37] |
吴佳, 高学杰. 一套格点化的中国区域逐日观测资料及与其它资料的对比[J]. 地球物理学报, 2013,56(4):1102-1111.
doi: 10.6038/cjg20130406 URL |
Wu J, Gao X J. A gridded daily observation dataset over China region and comparison with the other datasets[J]. Chinese Journal Geophysics, 2013,56(4):1102-1111 (in Chinese) | |
[38] |
Cannon A J, Sobie S R, Murdock T Q. Bias correction of GCM precipitation by quantile mapping: how well do methods preserve changes in quantiles and extremes?[J]. Journal of Climate, 2015,28:6938-6959
doi: 10.1175/JCLI-D-14-00754.1 URL |
[39] | 韩振宇, 童尧, 高学杰, 等. 分位数映射法在RegCM4中国气温模拟订正中的应用[J]. 气候变化研究进展, 2018,14:331-340. |
Han Z Y, Tong Y, Gao X J, et al. Correction based on quantile mapping for temperature simulated by the RegCM4[J]. Climate Change Research, 2018,14:331-340 (in Chinese) | |
[40] |
Perkins S E, Pitman A J, Holbrook N J, et al. Evaluation of the AR4 climate models' simulated daily maximum temperature, minimum temperature, and precipitation over Australia using probability density functions[J]. Journal of Climate, 2007,20:4356-4376
doi: 10.1175/JCLI4253.1 URL |
Viewed | ||||||
Full text |
|
|||||
Abstract |
|
|||||
|