研究课题 论文论著 |
研究课题一
国家自然科学基金面上项目(42375022)：全球陆地表面太阳辐射重建与变化及其不确定性（2024-2027）
研究课题二
国家重点研发课题（2023YFC3008002）：热带区域近海强风海气边界层物理过程及机理研究（2023-2026）
研究课题三
研究课题四
澳门地球物理暨气象局招标项目：21世纪澳门气候变化评估研究（2023-2023）
研究课题五
研究课题六
研究课题七
中国疾控中心项目：环境气候变化对新冠疫情影响及应对策略（2020-2021）
2024年：
2023年：
2022年：
2021年：
2020年：
2019年：
• Sheng, B., Dong, B., Wang, H., Zhang, M., Lin, S., Si, P., Lott, F., and Li, Q.* 2024，Anthropogenic Influences on Extremely Persistent Seasonal Precipitation in Southern China during May–June 2022. Bull. Amer. Meteor. Soc., 105 (2): E425-E431. doi：10.1175/BAMS-D-23-0137.1 (IF=8.0 /Q1).
• 李庆祥. 器测时期全球增暖趋势及其不确定性估计—基于IPCC科学评估的回顾与展望，科学通报，2024，接受待刊，https://doi.org/10.1360/TB-2023-1104.
• Jiao, B., Su, Y., Li, Z., Li Q.*，2024, An Effort to Distinguish the Effects of Cloud Cover and Aerosols on the Decadal Variations of Surface Solar Radiation, Environ. Res. Lett., 19，074012. DOI 10.1088/1748-9326/ad5371.
• Si P., Li Q.*, Chen X., Wang M., and Luo C., 2024, Construction of daily precipitation series and the observational characteristics of extreme precipitation in Tianjin, China during 1888 - 2022. Adv. Clim. Change Res.. 15（1）: 52-61. https://doi.org/10.1016/j.accre.2024.02.002 (IF=7.4 /Q1)
• Guo Z., Li Chao*, Li Q.*, Detection and attribution for land surface air temperature Warming in China based on a perfect model selection analysis of optimal fingerprint strategy. Theor. Appl. Climatol. accepted，https://doi.org/10.1007/s00704-024-04966-y
• Xia, C., Liu, C., Cai, Z., Wu, H., Li, Q., Gao, M.,2024，Tracking SO2 plumes from the Tonga volcano eruption with multi-satellite observations , iScience, doi: https:// doi.org/10.1016/j.isci.2024.109446.
• Li Q and Yang Y, 2019, Comments on “Comparing the current and early 20th century warm periods in China” by Soon W., R. Connolly, M. Connolly et al. Earth-Science Reviews, 198, 102886, DOI：https: //doi.org /10.1016 /j.earscirev. 2019. 102886. (IF=12.1/Q1)
• Yun X, B Huang, J Cheng, W Xu, S Qiao and Q Li*, 2019, A new merge of global surface temperature datasets since the start of the 20th Century，Earth System Science Data, 11, 1629－1643, DOI: https://doi.org/10.5194/essd-11-1629-2019. (IF=11.4/Q1)
• Yim S.H.L., Wang M.Y., Gu Y., Yang Y., Dong G.H., Li Q. 2019，Effect of Urbanization on Ozone and Resultant Health Effects in the Pearl River Delta Region of China. Journal of Geophysical Research: Atmospheres, DOI: 10.1029/2019JD030562.
• Yang Y, Zheng Z, Yim S, Roth M, Ren G, Gao Z, Wang T, Li Q, Shi C, Ning G, Li Y, 2019, PM 2.5 Pollution Modulates Wintertime Urban‐Heat‐Island Intensity in the Beijing‐Tianjin‐Hebei Megalopolis, China, Geophysical Research Letters , DOI: 10.1029/2019gl084288. (IF=5.2/Q1)
• Wang Y, Chan A, Lau G, Li Q, Yang Y, Yim S, 2019, Effects of urbanization and global climate change on regional climate in the Pearl River Delta and thermal comfort implications, International Journal of Climatology, 39(6) 2984-2997, DOI: 10.1002/joc.5996.
• 崔妍，徐文慧，李庆祥，等，2019，东北地区月气温序列的均一性检验和订正，气象, 45（2）：240-250.
• Li Q, Sun W, Huang B, Dong W, Wang X, Zhai P and Phil Jones, 2020, Consistency of global warming trends strengthened since 1880s, Science Bulletin, 65(20): 1709-1712. https://doi.org/10.1016/j.scib.2020.06.009. (IF=18.9/Q1)
• Li Q, Dong W and Jones P，2020，Continental Scale Surface Air Temperature Variations: Experience Derived from the Chinese Region，Earth-Science Reviews，200，102998，DOI：https://doi.org/10.1016/j.earscirev.2019.102998. (IF=12.1/Q1)
• 李庆祥，2020，用外部强迫因子对近百年陆地降水变化的统计建模试验，科学通报，65(21):2266-2278. doi：10.1360/TB-2020-0305.
• Chao L, Huang B, Yang Y, Jones P, Cheng J, Yang Y, Li Q*, 2020, A New Evaluation of the Role of Urbanization to Warming at Various Spatial Scales: Evidence From the Guangdong-Hong Kong-Macau Region, China, Geophysical Research Letters，47, e2020GL089152. doi: 10.1029/2020GL089152. (IF=5.2/Q1)
• Cheng J, Li Q*, Chao L, Suman M, Huang B, Jones P, 2020, Development of a high-resolution and homogenized gridded land surface air temperature data: a case study over pan East Asia, Frontiers in Environmental Science, DOI: 10.3389/fenvs.2020.588570.
• Zou M, Qiao S, Chao L, Chen D, Hu C, Li Q, Feng G. 2020, Investigating the Interannual Variability of the Boreal Summer Water Vapor Source and Sink over the Tropical Eastern Indian Ocean-Western Pacific. Atmosphere，2020, 11, 758. https://doi.org/10.3390/atmos11070758.
• Qiao S., Zou M., Cheung H.N. Zhou W, Li Q, Feng G and Dong W., 2020, Predictability of the wintertime 500 hPa geopotential height over Ural-Siberia in the NCEP climate forecast system. Clim. Dynamics, 54, 1591–1606 . https://doi.org/10.1007/s00382-019-05074-8.
• Qiao S, Zou M, Tang S, Cheung H, Su H, Li Q , Feng G, and Dong W, 2021, The Enhancement of the Impact of the Wintertime North Atlantic Oscillation on the Subsequent Sea Surface Temperature over the Tropical Atlantic since the Middle 1990s, J Climate, 33(22): 9653–9672, DOI: 10.1175/JCLI-D-19-0934.1.
• Yang Y, Zhang M, Li Q, Chen B, Gao Z. Ning G, Liu C, Li Y and Luo M, 2020, Modulations of surface thermal environment and agricultural activity on intraseasonal variations of summer diurnal temperature range in the Yangtze River Delta of China, Sci. Total. Enviorn., https://doi.org/10.1016/j.scitotenv.2020.139445. (IF=9.8/Q1)
• 云翔，李庆祥*，程嘉艺，2020， CMIP5气候模式对亚洲升温幅度的模拟与预估，气象，46（2）：145-157.
• Li, Q., Sheng, B., Huang, J. Li, C., Song, Z., Chao, L., Sun, W., Yang, Y., Jiao, B., Guo, Z., Liao, L., Li, X., Sun, C., Li, W., Huang, B., Dong, W., Jones, P. 2022, Different climate response persistence causes warming trend unevenness at continental scales. Nat. Clim. Chang. 12, 343–349. https://doi.org/10.1038/s41558-022-01313-9. (IF=30.7/Q1)
• Yang Y., Li Q.*, Song Z., Sun W., Dong W, 2022, A Comparison of Global Surface Temperature Variability, Extremes and Warming Trend using Reanalysis Data Sets and CMST-Interim, International Journal of Climatology, 42:5609–5628, DOI:10.1002/joc.7551.
• Sun, W., Yang, Y., Chao, L., Dong, W., Huang, B., Jones, P., and Li, Q.*, 2022, Description of the China global Merged Surface Temperature version 2.0, Earth Syst. Sci. Data ., 14, 1677-1693, https://doi.org/10.5194/essd-14-1677-2022. (IF=11.4/Q1)
• Jiao B，Li Q*, Sun W, and Wild M, 2022. Uncertainties in the global and continental surface solar radiation variations: inter-comparison of in-situ observations, reanalyses, and model simulations, Climate Dynamics. DOI: 10.1007/s00382-022-06222-3.
• Huang J, Li Q,* Song Z., 2022, Historical Global Land Surface Air Apparent Temperature and its Future Changes Based on CMIP6 Projections, Sci. Total. Enviorn., 816, 151656. https://doi.org/10.1016/j.scitotenv.2021.151656. (IF=9.8/Q1)
• Yang Y, Sun W，Zou M, Qiao S, Li Q*, 2022, Multi-model Seasonal Prediction of Global Surface Temperature based on Partial Regression Correction Method, Frontiers in Environmental Science, DOI: 10.3389/fenvs.2022.1036006.
• Sun C; Chao L; Li H., Hu Z, Zheng H, Li Q*, 2022, Modeling and Preliminary Analysis of the Impact of Meteorological Conditions on the COVID-19 Epidemic. Int. J. Environ. Res. Public Health, 19, 6125. https://doi.org/10.3390/ ijerph19106125.
• Zou M，Qiao S., Yang Y, Zhu X, Tang S, Yang J, Li Q, Feng G, Dong W, 2022, Predictability of the two temperature modes of the East Asian winter monsoon in the NCEP-CFSv2 and MRI-CPSv2 models，Climate Dynamics，DOI: 10.1007/s00382-022-06254-9.
• Yin G, Zhang Z, Zhu B, Li Q, Mao M, Xing W, Hu Z and Chen X，2022, Characteristics and physical mechanisms of a rainstorm in Hotan, Xinjiang, China. Front. Environ. Sci. 10:1046882. doi: 10.3389/fenvs.2022.1046882.
• Li, Q., Huang, B., Wang, X. L., eds.，2022，Advances in Global Warming Observations and Their Uncertainties. Lausanne: Frontiers Media SA. doi: 10.3389/978-2-83250-417-8
• Li Z, Li Q*, Chen T.,2023，Record breaking high temperature outlook for 2023：An assessment from CMST, Adv. Atmos. Sci., 2024, 41:369-376, doi: 10.1007/s00376-023-3200-9.
• Jiao, B., Su, Y., Li, Q*., Manara, V., and Wild, M.: 2023，An integrated and homogenized global surface solar radiation dataset and its reconstruction based on a convolutional neural network approach, Earth Syst. Sci. Data, 15, 4519–4535, https://doi.org/10.5194/essd-15-4519-2023. (IF=11.4/Q1)
• Sheng B. Wang H., Li H., Wu K., Li Q*. Thermodynamic and Dynamic effects of anomalous Dragon Boat water over South China in 2022 , Wea. Clim. Extremes，40，100560. https://doi.org/10.1016/j.wace.2023.100560. (IF=8.0 /Q1)
• Li Z., Sun W., Liang C., Xing X., Li Q*. Arctic warming trends and their uncertainties based on surface temperature reconstruction under different sea ice extent scenarios. Adv. Clim. Change Res.2023，14: 335-346. https://doi.org/10.1016/j.accre.2023.06.003.
• Li W.，Chao L., Si P., Zhang H.*, Li Q.*. Comparisons of the Urbanization Effect on Heat Stress Changes in Guangdong during Different Periods, Remote Sens. 2023, 15, 2750. https://doi.org/10.3390/ rs15112750.
• Li, H.; Zhang, J.; Sheng, B.; Fan, Y.; Ji, X.; Li, Q. The GravityWave Activity during Two Recent QBO Disruptions Revealed by U.S. High-Resolution Radiosonde Data. Remote Sens. 2023, 15, 472. https://doi.org/10.3390/rs15020472.
• 任国玉，王国复，李庆祥，2023，气候变化监测与检测技术原理，北京：气象出版社.
• Chao L., Li Q. *, Dong W., Yang Y., Guo Z., Huang B., Zhou L, Jiang Z, Zhai P and P Jones, 2021, Vegetation Greening offsets Urbanization Induced Fast Warming in Guangdong, Hong Kong, and Macao region (GHMR), Geophysical Research Letters, 48, e2021GL095217. DOI: 10.1029/2021GL095217. (IF=5.2/Q1)
• Sheng B , Wang H , Sun W , Li H, Chao L, Cheng J, Qian G, Huang B, Li Q*, 2021, Meridional temperature difference over pan-East Asia and its relationship with precipitation in century scales, 9, 769439. Frontiers in Environmental Science, DOI: 10.3389/fenvs.2021.769439.
• Si, P., Li, Q.*, and Jones, P., 2021, Construction of homogenized daily surface air temperature for Tianjin city during 1887–2019, Earth Syst. Sci. Data, 13, 2211-2226. https://doi.org/10.5194/essd-13-1-2021. (IF=11.4/Q1)
• Peng J, Duan L, Xu W, Li Q*, 2021, Development and Assessment of the Monthly Grid Precipitation Datasets in China, Frontiers in Environmental Science, 9, 656794, DOI: 10.3389/fenvs.2021.656794.
• Qian G, Li Q*, Li C, Li H, Wang X, Dong W and P. Jones, 2021, A novel statistical decomposition of the historical change in global mean surface temperature, Environmental Research Letters, 16, 054057, DOI: 10.1088/1748-9326/abea34.
• Sun W, Li Q*, Huang B, Dong W, Wang X, Zhai P and Phil Jones, 2021. The assessment of global surface temperature change from 1850s: the C-LSAT2.0 ensemble and the CMST-Interim datasets, Adv Atmos Sci, 38, 875-888, DOI: 10.1007/s00376-021-1012-3.
• Li Q, Sun W, Yun X, Huang B, Dong W, Wang X, Zhai P and Phil Jones, 2021, An updated evaluation of the global mean Land Surface Air Temperature and Surface Temperature trends based on CLSAT and CMST, Climate Dynamics, 56:635-650, DOI: 10.1007/s00382-020-05502-0.
• Gao M, Zhou Q, Yang X, Li Q, Zhang S, Yung K, Guo Y, 2021, Non-linear modulation of COVID-19 transmission by climate conditions, Meteorological Applications, 28,, e1985, DOI: 10.1002/met.1985.
• Qiao S, Zou M, Cheung H, Liu J , Zuo J, Li Q , Feng G, and Dong W, 2021, Contrasting Interannual prediction between January and February Temperature in Southern China in the NCEP Climate Forecast System, J Climate, 34 (7): 2791–2812, DOI: https://doi.org/10.1175/JCLI-D-20-0568.1.
• Hu Z, Li H, Liu J, Qiao S, Wang D, Frechet N, Tett S, Dong B, Lott F, Li Q, Dong W, 2021, Was the Extended Rainy Winter 2018/19 over the Middle and Lower Reaches of the Yangtze River Driven by Anthropogenic Forcing? Bull. Amer. Meteor. Soc. 102(1): S63–S67，DOI: https://doi.org/10.1175/BAMS-D-20-0127.1. (IF=8.0/Q1)
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个人主页
http://atmos.sysu.edu.cn/teacher/350
邮箱
zhangli93@mail.sysu.edu.cn（章老师）
liqingx5@mail.sysu.edu.cn（李老师）
地址
广东省珠海市唐家湾镇中山大学珠海校区（519082）