Research Topic
Publication
No.1

National Natural Science Foundation Project (42375022): Reconstruction, variation, and uncertainty of global land surface solar radiation (2024-2027)


No.2

National Key R&D Project (2023YFC3008002): Study of the physical processes and mechanisms of strong winds and Ocean-Atmosphere boundary layer in tropical coastal areas (2023-2026)


No.3 (Finished)

National Natural Science Foundation Project (41975105): Global Surface Temperature Change and Its Uncertainty Over the Past Century (2020-2023)


No.4 (Finished)

Macau Geophysics and Meteorological Bureau Tender Project: Assessment study of climate change in Macau in the 21st century (2023-2023)


No.5 (Finished)

National Key R&D Project (2017YFC502301): Performance evaluation and uncertainty analysis of multi-model climate element forecasts (2018-2022)


No.6 (Finished)

National Key R&D Project (2018YFC1507705): Estimation of regional extreme events in China under attribution constraints (2019-2021)


No.7 (Finished)

China CDC Project: The impact of environmental climate change on the COVID-19 pandemic and response strategies (2020-2021)

2024:  
• Sheng, B., Dong, B., Wang, H., Zhang, M., Lin, S., Si, P., Lott, F., and Li, Q.* 2023,Anthropogenic Influences on Extremely Persistent Seasonal Precipitation in Southern China during May–June 2022. Bull. Amer. Meteor. Soc., accepted.
li qingxiang, 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,  Chinese Science Bulletin, 2024, ISSN 0023-074X, https://doi.org/10.1360/TB-2023-1104.
2023:  
• 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.
2022:  
• 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.

2021:  
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)
2020:  
• 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)
• Qingxiang Li, Statistical modeling experiment of land precipitation variations since the start of the 20th century with external forcing factors,  Chinese Science Bulletin, Volume 65, Issue 21, 2020, Pages 2266-2278, ISSN 0023-074X, https://doi.org/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)
• YUN Xiang, CHENG Jiayi, LI Qingxiang, 2020. Estimation of CMIP5 Multi-Mode on the Extent of Rise in Air Temperature in Asia. Meteorological Monthly, 46(2): 145-157. DOI: 10.7519/j.issn.1000-0526.2020.02.001.
2019:  
• 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.
• CUI Yan, XU Wenhui, LI Qingxiang, et al, 2019. Homogeneity Test and Correction of Monthly Temperature in Northeast China[J]. Meteorological Monthly, 45(2): 240-250. DOI: 10.7519/j.issn.1000-0526.2019.02.009.

Research Topic
Publication
No.1

National Natural Science Foundation Project (42375022): Reconstruction, variation, and uncertainty of global land surface solar radiation (2024-2027)


No.2

National Key R&D Project (2023YFC3008002): Study of the physical processes and mechanisms of strong winds and Ocean-Atmosphere boundary layer in tropical coastal areas (2023-2026)


No.3 (Finished)

National Natural Science Foundation Project (41975105): Global Surface Temperature Change and Its Uncertainty Over the Past Century (2020-2023)


No.4 (Finished)

Macau Geophysics and Meteorological Bureau Tender Project: Assessment study of climate change in Macau in the 21st century (2023-2023)


No.5 (Finished)

National Key R&D Project (2017YFC502301): Performance evaluation and uncertainty analysis of multi-model climate element forecasts (2018-2022)


No.6 (Finished)

National Key R&D Project (2018YFC1507705): Estimation of regional extreme events in China under attribution constraints (2019-2021)


No.7 (Finished)

China CDC Project: The impact of environmental climate change on the COVID-19 pandemic and response strategies (2020-2021)

2024:  
• 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., accepted.
li qingxiang, Global warming trends and their uncertainty estimation during the instrumental observation period: A review and outlook based on IPCC scientific assessments,  Chinese Science Bulletin, 2024, ISSN 0023-074X, https://doi.org/10.1360/TB-2023-1104.
2023:  
• 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.
2022:  
• 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.

2021:  
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)
2020:  
• 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)
• Qingxiang Li, Statistical modeling experiment of land precipitation variations since the start of the 20th century with external forcing factors,  Chinese Science Bulletin, Volume 65, Issue 21, 2020, Pages 2266-2278, ISSN 0023-074X, https://doi.org/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)
• YUN Xiang, CHENG Jiayi, LI Qingxiang, 2020. Estimation of CMIP5 Multi-Mode on the Extent of Rise in Air Temperature in Asia. Meteorological Monthly, 46(2): 145-157. DOI: 10.7519/j.issn.1000-0526.2020.02.001.
2019:  
• 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.
• CUI Yan, XU Wenhui, LI Qingxiang, et al, 2019. Homogeneity Test and Correction of Monthly Temperature in Northeast China[J]. Meteorological Monthly, 45(2): 240-250. DOI: 10.7519/j.issn.1000-0526.2019.02.009.

Research Topic
Publication
No.1

National Natural Science Foundation Project (42375022): Reconstruction, variation, and uncertainty of global land surface solar radiation (2024-2027)


No.2

National Key R&D Project (2023YFC3008002): Study of the physical processes and mechanisms of strong winds and Ocean-Atmosphere boundary layer in tropical coastal areas (2023-2026)


No.3 (Finished)

National Natural Science Foundation Project (41975105): Global Surface Temperature Change and Its Uncertainty Over the Past Century (2020-2023)


No.4 (Finished)

Macau Geophysics and Meteorological Bureau Tender Project: Assessment study of climate change in Macau in the 21st century (2023-2023)


No.5 (Finished)

National Key R&D Project (2017YFC502301): Performance evaluation and uncertainty analysis of multi-model climate element forecasts (2018-2022)


No.6 (Finished)

National Key R&D Project (2018YFC1507705): Estimation of regional extreme events in China under attribution constraints (2019-2021)


No.7 (Finished)

China CDC Project: The impact of environmental climate change on the COVID-19 pandemic and response strategies (2020-2021)

2024:  
• 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., accepted.
Li Qingxiang, Global warming trends and their uncertainty estimation during the instrumental observation period: A review and outlook based on IPCC scientific assessments,  Chinese Science Bulletin, 2024, ISSN 0023-074X, https://doi.org/10.1360/TB-2023-1104.
2023:  
• 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.
Ren G. Wang G and Li Q eds., 2023,  Principles of climate change monitoring and detection technologies. Beijing: Meteorological Press.
2022:  
• 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.
2021:  
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)
2020:  
• 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)
Li Qingxiang, Statistical modeling experiment of land precipitation variations since the start of the 20th century with external forcing factors,  Chinese Science Bulletin, Volume 65, Issue 21, 2020, Pages 2266-2278, ISSN 0023-074X, https://doi.org/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)
• YUN Xiang, CHENG Jiayi, LI Qingxiang, 2020. Estimation of CMIP5 Multi-Mode on the Extent of Rise in Air Temperature in Asia. Meteorological Monthly, 46(2): 145-157. DOI: 10.7519/j.issn.1000-0526.2020.02.001.
2019:  
• 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.
• CUI Yan, XU Wenhui, LI Qingxiang, et al, 2019. Homogeneity Test and Correction of Monthly Temperature in Northeast China[J]. Meteorological Monthly, 45(2): 240-250. DOI: 10.7519/j.issn.1000-0526.2019.02.009.

Personal homepage
http://atmos.sysu.edu.cn/teacher/350
E-mail
zhoux288@mail.sysu.edu.cn(Miss Zhou)
liqingx5@mail.sysu.edu.cn(Prof. Li)
Address
Sun Yat sen University Zhuhai Campus, Tangjiawan Town, Zhuhai City, Guangdong Province, 519082, P. R. China