2018年已发表和印刷中论文目录

发布时间:2019-01-09 |      】 | 【打印】 【关闭

正式发表论文

1. Qian C, Wang J, Dong S, Yin H, Burke C, Ciavarella A, Dong B, Freychet N, Lott F, Tett S*, 2018: Human influence on the record-breaking cold event in January of 2016 in Eastern China. Bulletin of the American Meteorological Society, 23, S118–S122.

2. Yuan, X.*, L. Wang, and E. F. Wood, 2018: Anthropogenic intensification of southern African flash droughts as exemplified by the 2015/16 season. Bulletin of the American Meteorological Society, 99 ,S86-S90, doi:10.1175/BAMS-D-17-007.1.

3. Yuan, X.*, S. Wang, and Z. Hu, 2018: Do climate change and El Niño increase likelihood of Yangtze River extreme rainfall? Bulletin of the American Meteorological Society, 99, S113-S117, doi:10.1175/BAMS-D-17-0089.1.

4. Zhao, L., and Z.-L. Yang *(2018), Multi-sensor land data assimilation: Toward a robust global soil moisture and snow estimation, Remote Sensing of Environment, 216, 13-27, doi: https://doi.org/10.1016/j.rse.2018.06.033.

5. Peng J., L. Dan*, Y.P. Wang, X.B. Tang, X.J. Yang, F.Q. Yang, X.J. Lu, and B. Pak, 2018: Role contribution of biological nitrogen fixation to future terrestrial net land carbon accumulation under warming condition at centennial scale. Journal of Cleaner Production, 202, 1158-1166.

6. Meng Gao, Zhiwei Han*, Zirui Liu, Meng Li, Jinyuan Xin, Zhining Tao, Jiawei Li, Jeong-Eon Kang, Kan Huang, Xinyi Dong, Bingliang Zhuang, Shu Li, Baozhu Ge, Qizhong Wu, Yafang Cheng, Yuesi Wang, Hyo-Jung Lee, Cheol-Hee Kim, Joshua S. Fu, Tijian Wang, Mian Chin, Jung-Hun Woo, Qiang Zhang, Zifa Wang, and Gregory R. Carmichael, 2018. Air Quality and Climate Change, Topic 3 of the Model Inter-Comparison Study for Asia Phase III (MICS-Asia III), Part I: overview and model evaluation. Atmospheric Chemistry and Physics, 18, 4859–4884.

7. Chen X., D. H. Luo*, S. B. Feldstein, and S. Lee, 2018: Impact of Winter Ural Blocking on Arctic Sea Ice: Short-Time Variability. Journal of Climate. 31(6), 2267–2282.

8. Duan, J.*, L. Li, Z. Ma, J. Esper, U. Büntgen, E. Xoplaki, D. Zhang, L. Wang, H. Yin, and J. Luterbacher, 2018: Summer cooling driven by large volcanic eruptions over the Tibetan Plateau. Journal of Climate, doi:10.1175/JCLI-D-17-0664.1.

9. Luo D.*, X. D. Chen, A. G. Dai, and I. Simmonds, 2018: Changes in Atmospheric Blocking Circulations Linked with Winter Arctic Warming: A New Perspective. Journal of Climate, 31(81), 7661-7678.

10. Zhong L.*, L. J. Hua, and D. H. Luo, 2018: Local and External Moisture Sources for the Arctic Warming over the Barents-Kara Seas. Journal of Climate, 31(5), 1963-1982.

11. Li J. W., Z. W. Han*, X. H. Yao, Z. X. Xie, S.C. Tan, 2018: The distributions and direct radiative effects of marine aerosols over East Asia in springtime. Science of the Total Environment, 651, 1913-1925.

12. Li Jiawei, Han Zhiwei*, Xiaohong Yao, Zuxin Xie, Saichun Tan, 2019. The distributions and direct radiative effects of marine aerosols over East Asia in springtime. Science of the Total Environment, 651, 1913–1925.

13. Sarmah, G. Jia* and A. Zhang 2018: Satellite view of seasonal greenness trends and controls in South Asia. Environmental Research Letters, 13, 034026.

14. Wang J; Tett S; Yan ZW; Feng JM 2018: Have human activities changed the frequencies of absolute extreme temperatures in eastern China? Environmental Research Letters. 13 014012. https://doi.org/10.1088/1748-9326/aa9404.

15. Yuan, X.*, Y. Jiao, D. Yang, and H. Lei, 2018 Reconciling the attribution of changes in streamflow extremes from a hydroclimate perspective. Water Resources Research, 54, 3886-3895, doi: 10.1029/2018WR022714.

16. Yuan, X.*, and E. Zhu, 2018: A first look at decadal hydrological predictability by land surface ensemble simulations. Geophysical Research Letters, 45, 2362–2369, doi: 10.1002/2018GL077211.

17. Wang, S., and X. Yuan*, 2018: Extending seasonal predictability of Yangtze River summer floods. Hydrology and Earth System Sciences, 22, 4201–4211, doi:10.5194/hess-22-4201-2018.

18. Lin, P., Z.-L. Yang*, D. J. Gochis, W. Yu, D. R. Maidment, M. A. Somos-Valenzuela, and C. H. David (2018), Implementation of a vector-based river network routing scheme in the community WRF-Hydro modeling framework for flood discharge simulation, Environmental Modelling & Software, 107, 1-11, doi: https://doi.org/10.1016/j.envsoft.2018.05.018.

19. Dai Xin-Gang, Wang Ping. 2018: Identifying the early 2000s hiatus associated with internal climate variability. Scientific Reports, 8: 13602.

20. Lu Z., Z. Fu, L. Hua, N. Yuan*, and L. Chen, 2018: Evaluation of ENSO simulations in CMIP5 models: A new perspective based on percolation phase transition in complex networks. Scientific Reports, 8, 14912.

21. Li, M., J. Duan*, L. Wang, and H.Zhu,2018: Late summer temperature reconstruction based on tree-ring density for Sejila Mountain, southeastern Tibetan Plateau. Global and Planetary Change. 163: 10-17.

22. Zeng, D., and X. Yuan*, 2018: Multi-scale land-atmosphere coupling and its application in assessing subseasonal forecasts over East Asia. Journal of Hydrometeorology, 19, 745–760, doi:10.1175/JHM-D-17-0215.1

23. Lin, P., L. J. H. Jr., Z.-L. Yang*, M. Lenz, and J. W. Zeitler (2018), Insights into Hydrometeorological Factors Constraining Flood Prediction Skill during the May and October 2015 Texas Hill Country Flood Events, Journal of Hydrometeorology, 19(8), 1339-1361, doi:10.1175/jhm-d-18-0038.1.

24. Duan J.*, Z. Ma, N. Yuan, and L. Li, 2018: Extremes in the magnitude of annual temperature cycle on the Tibetan Plateau over the past three centuries. Climate Dynamics, doi: 10.1007/s00382-018-4346-5.

25. Li, C., C. Wang, and T. Zhao, 2018: Influence of two types of ENSO events on tropical cyclones in the western North Pacific during the subsequent year: Asymmetric response, Climate Dynamics, 51, 2637–2655.

26. C. S. Frederiksen, K. Ying*, S. Grainger, and X. Zheng, 2018: Modes of Interannual Variability in Northern Hemisphere Winter Atmosphere Circulation in CMIP5 Models: Evaluation, Projection and Role of External Forcing. Climate Dynamics, 50(7-8), 2845-2865. doi: 10.1007/s00382-017-3776-9.

27. Ying K., C. S. Frederiksen, X. Zheng, J. Lou, and T. Zhao*, 2018: Variability and predictability of decadal mean temperature and precipitation over China in the CCSM4 Last Millennium simulation. Climate Dynamics, 51(7-8), 2989-3008. doi: 10.1007/s00382-017-4060-8.

28. Ying K., C. S. Frederiksen, T. Zhao, X. Zheng, Z. Xiong*, X. Yi, and C. Li, 2018: Predictable and unpredictable modes of seasonal mean precipitation over Northeast China. Climate Dynamics, 50(7-8), 3081-3095. doi: 10.1007/s00382-017-3795-6.

29. Yuan, N., Y. Huang, J. Duan, C. Zhu, E. Xoplaki, and J. Luterbacher, 2018: On climate prediction: how much can we expect from climate memory? Climate Dynamics, doi:10.1007/s00382-018-4168-5.

30. Wang L., G. Huang, W. Chen, W. Zhou, W. Wang. 2018: Wet-to-dry shift over Southwest China in 1994 tied to the warming of tropical warm pool. Clim. Dyn., 51: 3111-3123.

31. Wu, X. Q., J. Liu, Y. F. Wu*, X. Wang*, X. W. Yu, J. S. Shi, J. R. Bi, Z. W. Huang, T. Zhou, and R. J. Zhang, 2018: Aerosol optical absorption coefficients at a rural site in Northwest China: The great contribution of dust particles. Atmos. Environ., 189, 145–152, doi: 10.1016/j.atmosenv.2018.07.022.

32. Han Z.W.*, Li J. W., X. H. Yao, S.C. Tan, 2018: A regional model study of the characteristics and indirect effects of marine primary organic aerosol in springtime over East Asia. Atmospheric Environment, 197, 22-35.

33. Li J. W., Z. W. Han*, X. H. Yao, 2018: A modeling study of the influence of sea salt on inorganic aerosol concentration, size distribution, and deposition in the western Pacific Ocean. Atmospheric Environment, 188, 157-173.

34. Li Jiawei, Zhiwei Han*, Xiaohong Yao, 2018. A regional model study of the effects of sea salt on inorganic aerosol concentration, size distribution, and deposition over East Asian oceans. Atmospheric Environment, 188, 157-173.

35. Ai, J., G. Jia*, H. Epstein, H. Wang, A. Zhang and Y. Hu 2018: MODIS-based estimates of global terrestrial ecosystem respiration. Journal of Geophysical Research-Biogeosciences: 2018, 123, 326-352.

36. Xu, X., W.J. Riley, C.D. Koven, G. Jia* 2018: Observed and simulated sensitivities of spring greenup to preseason climate. Journal of Geophysical Research-Biogeosciences: 2018, 123, 60-78.

37. Jun Wang, Jinming Feng*, Zhongwei Yan, 2018Impact of extensive urbanization on summertime rainfall in the Beijing region and the role of local precipitation recycling, Journal of Geophysical Research: Atmospheres, 123, doi:10.1002/2017JD027725.

38. Jun Wang, Zhongwei Yan, and Jinming Feng, 2018: Exaggerated effect of urbanization in diurnal temperature range via ‘Observation Minus Reanalysis’ and the physical causes, Journal of Geophysical Research: Atmospheres, doi: 10.1029/2018JD028325.

39. Lv Meixia, Z. Ma*, and M. Lv, 2018: Effects of climate/land surface changes on streamflow with consideration of precipitation intensity and catchment characteristics in the Yellow River Basin. Journal of Geophysical Research: Atmospheres. 123 1942–1958.

40. Wu L., J. Feng*, and W. Miao, 2018: Simulating the impacts of irrigation and dynamic vegetation over the North China Plain on regional climate. Journal of Geophysical Research: Atmospheres, 123, 8017–8034. https://doi.org/10.1029/2017JD027784.

41. Yang Q.D., L. Dan*, J. Wu, R. Jiang, J. Dan, W. Li, F. Yang, X. Yang, and L. Xia, 2018: The improved freeze-thaw process of a climate-vegetation model: Calibration and validation tests in the source region of the Yellow River. JGR-Atmospheres, DOI:10.1029/2017JD028050.

42. Luo D.*, X. D. Chen, and S. B. Feldstein, 2018: Linear and Nonlinear Dynamics of North Atlantic Oscillations: A New Thinking of Symmetry Breaking. Journal of The Atmosphere Sciences, 75(6), 1955-1977.

43. HU Z., Z. XU, Z. MA*, R. MAHMOOD, Z.-L. YANG, 2018: Potential surface hydrologic responses to increases in greenhouse gas concentrations and land use and land cover changes. International Journal of Climatology, https://doi.org/10.1002/joc.5844.

44. Mingxing Li, Zhuguo Ma, 2018: Decadal changes in summer precipitation over arid northwest China and associated atmospheric circulations. International Journal of Climatology: 38(12) ,4496-4508.

45. Qian C.*, W. Zhou, X.-Q. Yang and J. C. L. Chan, 2018: Statistical prediction of non-Gaussian climate extremes in urban areas based on the first-order difference method, Int. J. Climatol., 38(6), 2889–2898, DOI: 10.1002/joc.5464.

46. Yao, M., and X. Yuan*, 2018: Superensemble seasonal forecasting of soil moisture by NMME. International Journal of Climatology, 38, 2565–2574, doi:10.1002/joc.5436.

47. Zhou Y.K., Z.W. Han*, R.T. Liu, B. Zhu, J.W. Li, R.J. Zhang, 2018: A Modeling Study of the Impact of Crop Residue Burning on PM2.5 Concentration in Beijing and Tianjin during a Severe Autumn Haze Event. Aerosol and Air Quality Research, 18, 1558-1572.

48. Zhao D. M., and J. Wu, 2018: Changes in urban-related precipitation in the summer over three city clusters in China. Theoretical and Applied Climatology, 134: 83–93, doi: 10.1007/s00704-017-2256-9.

49. Luo M., J. Feng*, Z. Xu, Y. Wang, L. DAN, 2018: Evaluating the performance of five twentieth-century reanalysis datasets in reproducing the severe drought in northern China during the 1920s-1930s. Theor. Appl. Climatol. https://doi.org/10.1007/s00704-018-2591-5.

50. Luo, M., J. Feng*, Z. Xu, Y. Wang, 2018: Evaluating the performance of five 20th-century reanalysis datasets in reproducing the severe drought in northern China during the 1920s-1930s. Theor. Appl. Climatol., https://doi.org/10.1007/s00704-018-2591-5.

51. Qin F., G. Jia*, J. Yang, Y. Na, Y. Bao 2018: Decadal decline of summer precipitation fraction observed in the field and from TRMM satellite data across the Mongolian Plateau. Theoretical and Applied Climatology doi: 10.1007/s00704-018-2655-6.

52. Xia JJ*, Jin SF, Yan ZW, Xiong Z, Zheng ZY, Han ZQ 2018: Shifts in timing of Local Growing Season in China during 1961-2012. Theoretical and Applied Climatology, doi: https://doi.org/10.1007/s00704-018-2698-8.

53. Zhang Xuezhen, Xiong Zhe*,Yan Xiaodong, 2018: Modeling precipitation changes in the Heihe River Basin, Northwest China, from 1980 to 2014 with the Regional Integrated Environment Modeling System (RIEMS) nested with ERA-Interim reanalysis data. Theoretical and Applied Climatology, https://doi.org/10.1007/s00704-018-2603-5.

54. Lin, P., M. A. Rajib, Z.-L. Yang*, M. Somos-Valenzuela, V. Merwade, D. R. Maidment, Y. Wang, and L. Chen (2018), Spatiotemporal Evaluation of Simulated Evapotranspiration and Streamflow over Texas Using the WRF-Hydro-RAPID Modeling Framework, JAWRA Journal of the American Water Resources Association, 54(1), 40-54, doi:doi:10.1111/1752-1688.12585.

55. XU Z.*, Y. HAN, and Z.-L. YANG, 2018: Dynamical downscaling of regional climate: A review of methods and limitations. Science China Earth Sciences 129. https://doi.org/10.1007/s11430-018-9261-5.

56. Zhao D. M., and J. Wu, 2018: Comparisons of urban-related warming in Beijing using different methods to calculate the daily mean temperature. Science China: Earth Sciences, doi: 10.1007/s11430-018-9298-x.

57. Han Zhe, and Li Shuanglin, 2018: The precursor role of winter sea-ice in the Labrador Sea in following-spring precipitation over southeastern North America and Western Europe. Adv. Atm. Sci., 35(1), 65-74.

58. Yao, Y.*, and D. H. Luo, 2018: An asymmetric spatiotemporal connection between the Euro-Atlantic blocking within the NAO life cycle and European climates. Adv. Atmos. Sci., 35(7), 796–812.

59. Duan, Y. W., P. L. Wu, X. L. Chen, and Z. G. Ma, 2018: Assessing Global Warming Induced Changes in Summer Rainfall Variability over Eastern China Using the Latest Hadley Centre Climate Model HadGEM3-GC2, Advances in Atmospheric Sciences, 35(8), 1077-1093, doi: 10.1007/s00376-018-7264-x.

60. Wang, L., and X. Yuan*, 2018: Two types of flash droughts over China and their connections with seasonal droughts. Advances in Atmospheric Sciences, 35(12), 1478–1490, doi: 10.1007/s00376-018-8047-0.

61. Yu S, Xia JJ, Yan ZW, Yang K 2018: Changing spring phenology dates in the Three-Rivers Headwater Region of Tibetan Plateau during 1960-2013. Advances in Atmospheric Sciences. 35 (1) 116-126.doi: 10.1007/s00376-017-6296-y.

62. Li Z, Yan ZW*, Cao LJ, Jones PD 2018: Further-adjusted long-term temperature series in China based on MASH. Advances in Atmospheric Sciences. 35 (8) 909-917. doi: 10.1007/s00376-018-7280-x.

63. Yang F.Q., L. Dan*, J. Peng, X.J. Yang, Y.Y. Li, and D.D. Gao, 2018: Subdaily to seasonal change of surface energy and water flux of the Hai River Basin in China: Noah and Noah-MP assessment. Advances in Atmospheric Sciences, 36, 1-14.

64. Yao, Y.*, D. H. Luo, and Linhao Zhong, 2018: Effects of Northern Hemisphere Atmospheric Blocking on Arctic Sea Ice Decline in Winter at Weekly Time Scales. Atmosphere, 2018, 9(9), 331.

65. Sangeeta Sarmah, G. Jia*, A. Zhang and Mrinal Singha 2018: Assessing seasonal trends and variability of vegetation growth from NDVI3g, MODIS NDVI and EVI over South Asia. Remote Sensing Letters, 9:12, 1195-1204.

66. Zhao D. M., and J. Wu, 2018: Evaluating land use change impacts on rainfall in various categories using the WRF-mosaic approach. Atmospheric Science Letters, doi: 10.1002/asl.870.

67. Liang Chen*, Zhuguo Ma, Zhenhua Li, Lin Wu, Jason Flemke & Yanping Li, 2018: Dynamical Downscaling of Temperature and Precipitation Extremes in China under Current and Future Climates, Atmosphere-Ocean, 56:1, 55-70, DOI: 10.1080/07055900.2017.1422691.

68. Qin, F., G. Jia*, J. Yang, Y. Na, M. Hou 2018: Spatiotemporal variability of precipitation during 1961-2014 across the Mongolian Plateau. Journal of Mountain Sciences, 15(5), 992-1005.

69. Qi, Y., Z. Yan, C. Qian*, and Y. Sun, 2018: Near-term projections of global and regional land mean temperature changes considering both the secular trend and multidecadal variability. J. Meteor. Res., 32(3): 337-350, doi: 10.1007/s13351-018-7136-4.

70. Luo B. and Y. Yao*, 2018: Recent Rapid Decline of the Arctic Winter Sea Ice in the Barents–Kara Seas Owing to Combined Effects of the Ural Blocking and SST. J. Meteor. Res., 32(2), 191–202.

71. Li, M., J. Duan*, D. Zhang, L. Wang, J. Wang, X. Li, and J. Zhou, 2018: Tree-ring-density inferred August-September temperature variability on the eastern Tibetan Plateau for the past two centuries. Asian Geographer. 35: 107-120.

72. Zhao D. M., and J. Wu, 2018: Regional warming induced by urban surface expansion in Shanghai. Atmospheric and Oceanic Science Letters, 11: 228-235, https://doi.org/10.1080/16742834.2018.1450066.

73. Zhao D. M., and J. Wu, 2018: Evaluating the impacts of LULC changes on surface air temperature using the WRF-mosaic approach. Atmospheric and Oceanic Science Letters, 11: 262-269, https://doi.org/10.1080/16742834.2018.1461527.

74. Zhao D. M., J. L. Zha, and J. Wu, 2018: Comparisons of urban-related warming for Shenzhen and Guangzhou. Atmospheric and Oceanic Science Letters, https://doi.org/10.1080/16742834.2018.1486681, 11: 330-337.

75. Zhao D. M., and J. Wu, 2018: Evaluating the contributions of urban surface expansion to regional warming in Shanghai using different methods to calculate the daily mean temperature. Atmospheric and Oceanic Science Letters, doi: 10.1080/16742834.2018.1530563.

76. Qian C.* and L. Cao, 2018: Linear trends in the mean and extreme temperature in the Xiongan New Area, China. Atmospheric and Oceanic Science Letters, 11(3), 246-254, DOI: 10.1080/16742834.2018.1422677.

77. Andresen L. C., N. Yuan, R. Seibert, G. Moser, C. I. Kammann, J. Luterbacher, M. Erbs, and C. Mueller, 2018: Biomass responses in a temperate European grassland through 17 years of elevated CO2. Global Change Biology, 24(9), 3875-3885.

78. Huang, R. J., L. Yang, J. J. Cao, Y. Chen, Q. Chen, Y. J. Li, J. Duan, C. S. Zhu, W. T. Dai, K. Wang, C. S. Lin, H. Y. Ni, J. C. Corbin, Y. F. Wu, R. J. Zhang, X. X. Tie, T. Hoffmann, C. O’Dowd, and U. Dusek, 2018: Brown carbon aerosol in urban Xi’an, Northwest China: The composition and light absorption properties. Environ. Sci. Technol., 52 (12), 6825–6833, doi: 10.1021/acs.est.8b02386.

79. Huang, R. J., R. Cheng, M. Jing, L. Yang, Y. J. Li, Q. Chen, Y. Chen, J. Yan, C. S. Lin, Y. F. Wu, R. J. Zhang, I. El Haddad, A. S. H. Prevot, C. O’Dowd, and J. J. Cao, 2018: Source-specific health risk analysis on particulate trace elements: Coal combustion and traffic emission as major contributors in wintertime Beijing. Environ. Sci. Technol., 52, 10967–10974, doi: 10.1021/acs.est.8b02091.

80. Xia Y, Li Y, Guan D, Tinoco DM, Xia J, Yan Z, Yang J, Liu Q, Huo H 2018: Assessment of the economic impacts of heat waves: A case study of Nanjing, China, Journal of Cleaner Production. 171, 811-819. https://doi: 10.1016/j.jclepro.2017.10.069.

81. Che, H. Z., B. Qi, H. J. Zhao, X. A. Xia, T. F. Eck, P. Goloub, O. Dubovik, V. Estelles, E. Cuevas-Agulló, L. Blarel, Y. F. Wu, et al., 2018: Aerosol optical properties and direct radiative forcing based on measurements from the China Aerosol Remote Sensing Network (CARSNET) in eastern China. Atmos. Chem. Phys., 18, 405–425, doi: 10.5194/acp-18-405-2018.

82. Luo, L., Kao, S.-J., Bao, H., Xiao, H., Xiao, H., Yao, X., Gao, H., Li, J., and Lu, Y., 2018: Sources of reactive nitrogen in marine aerosol over the Northwest Pacific Ocean in spring, Atmos. Chem. Phys., 18, 6207-6222.

83. Pei L, Z. Yan, Z. Sun and Y. Yao, 2018: Increasing persistent haze in Beijing: potential impacts of weakening East Asian winter monsoons associated with northwestern Pacific sea surface temperature trends. Atmos. Chem. Phys., 18, 3173–3183.

84. Freychet N, Tett S*, Hegerl G, Wang J, 2018: Central-Eastern China persistent heat waves: Evaluation of the AMIP models. Journal of Climate, 31, 3609-3624.

85. Liu XJ, Tian GJ, Feng JM, Wang J, Kong LQ, 2018: Assessing summertime urban warming and the cooling efficacy of adaptation strategy in the Chengdu-Chongqing metropolitan region of China. Science of The Total Environment, 610: 1092-1102.

86. Duan, J, Y., Y. Y. Wang, X. Xie, M. Li, J. Tao, Y. F. Wu, T. T. Cheng, R. J. Zhang, Y. H. Liu, X. Li, Q. S. He, W. Gao, and J. P. Wang, 2018: Influence of pollutants on activity of aerosol cloud condensation nuclei (CCN) during pollution and post-rain periods in Guangzhou, southern China. Sci. Tot. Environ., 642, 1008–1019, doi: 10.1016/j.scitotenv.2018.06.053. 

87. Sun, J., Z. X. Shen, L. M. Zhang, Y. L. Lei, X. S. Gong, Q. Zhang, T. Zhang, H. M. Xu, S.Cui,Q. Y. Wang, J. J. Cao, J. Tao, N. N. Zhang, and R. J. Zhang, 2019: Chemical source profiles of urban fugitive dust PM2.5 samples from 21 cities across China. Sci. Tot. Environ., 649, 1045–1053, doi: 10.1016/j.scitotenv. 2018.08.374.

88. Forbes W. L., and 21 Coauthors (including T. Zhao), 2018: Contribution of environmental forcings to US runoff changes for the period 1950–2010. Environmental Research Letters, 13(5),[054023]. doi: https://doi.org/10.1088/1748-9326/aabb41.

89. Wu J., J. L. Zha, D. M. Zhao, and Q. D. Yang, 2018: Effects of surface friction and turbulent mixing on long-term changes in the near-surface wind speed over the Eastern China Plain from 1981-2010. Climate Dynamics, 51: 2285-2299, doi: 10.1007/s00382-017-4012-3.

90. Wu J., J. L. Zha, D. M. Zhao, and Q. D. Yang, 2018: Changes in terrestrial near-surface wind speed and their possible causes: an overview. Climate Dynamics, 51: 2039-2078, doi: 10.1007/s00382-017-3997-y.

91. Wu J., P. W. Zhang, J. L. Zha, D. M. Zhao, and W. X. Lu, 2018: Evaluating the long-term changes in temperature over the low-latitude plateau in China using a statistical downscaling method, Climatic Dynamics, doi: 10.1007/s00382-018-4379-9.

92. Liu, D., Y. Li, T. Wang, P. Peylin, N. Mac Bean, P. Ciais, G. Jia, M. Ma, Y. Ma, M. Shen, X. Zhang, S. Piao 2018: Contrasting responses of grassland water and carbon exchanges to climate change between Tibetan Plateau and Inner Mongolia. Agricultural and Forest Meteorology, 249,163-175.

93. Wang, X., Z. X. Shen, F. B. Liu, D. Lu, J. Tao, Y. L. Lei, Q. Zhang, Y. L. Zeng, H. M. Xu, Y. F. Wu, R. J. Zhang, and J. J. Cao, 2018: Saccharides in summer and winter PM2.5 over Xi'an, Northwestern China: Sources, and yearly variations of biomass burning contribution to PM2.5. Atmos. Res., 214, 410–417, doi: 10.1016/j.atmosres.2018.08.024.

94. Song, Z. J., D. S. Fu, X. L. Zhang, Y. F. Wu, X. A. Xia, J. X. He, X. L. Han, R. J. Zhang, and H. Z. Che 2018: Diurnal and seasonal variability of PM2.5 and AOD in North China plain: Comparison of MERRA-2 products and ground measurements. Atmos. Environ., 191, 70–78, doi: 10.1016/j.atmosenv.2018.08.012.

95. Tao, J., Z. S. Zhang, H. B. Tan, L. M. Zhang, Y. F. Wu, J. R. Sun, H. Z. Che, J. J. Cao, P. Cheng, L. G. Chen, and R. J. Zhang, 2018: Observational evidence of cloud processes contributing to daytime elevated nitrate in an urban atmosphere. Atmos. Environ., 186, 209–215, doi: 10.1016/j.atmosenv.2018.05.040.

96. Wilson, S.D., D.R. Schlaepfer, J.B. Bradford, W.K. Lauenroth, M.C. Duniway, S.A. Hall, K. Jamiyansharav, G. Jia, A. Lkhagva, S.M. Munson, D.A. Pyke and B. Tietjen 2018: Functional group, biomass, and climate change effects on drought in semiarid grasslands. Journal of Geophysical Research-Biogeosciences: 23, 1072-1085.

97. Tang Y., X. Song, Y. Zhang, D. Han, L. Ai, T. Zhao, Y. Wang, 2018: Using stable isotopes to understand seasonal and interannual dynamics in moisture sources and atmospheric circulation inprecipitation. Hydrological Processes, doi: 10.1002/hyp.11388.

98. Wu J., J. L. Zha, D. M. Zhao, and Q. D. Yang, 2018: Changes of wind speed at different heights over Eastern China during 1980-2011. International Journal of Climatology. 38: 4476-4495, doi: 10.1002/joc.5681.

99. Zuo Z., S. Yang, K. Xu, R. Zhang, Q. He, T. Zhao, and J. Cong, 2018: Land surface air temperature variations overEurasia and possible causes in the past century. Int. J. Climatol., 38(4): 1925-1937. doi: 10.1002/joc.5306. 

100. Zhang, Y., Y. Guo, W. Dong, C. Li, 2018: What drives the decadal variation of global land monsoonprecipitation over the past 50 years? International Journal of Climatology, 38:4818–4829.

101. Wang JF, Xu CD, Hu MG, Li QX, Yan ZW, Jones PD 2018: Global land surface air temperature dynamics since 1880. International Journal of Climatology. 38 (S1) e466-474. DOI: 10.1002/joc.5384.

102. Fu C.B*, and L. Dan, 2018: The variation of cloud amount and small rainy days under heavy pollution over South China during 1960-2009.  Environmental Science and Pollution Research, 25, 2369–2376.

103. Huang M., M. Hao, S.Q. Wang, L. Dan, F.X. Gu, Z.S. Wang, and H. Gong, 2018: Links between Western Pacific Subtropical High and vegetation growth in China Intercomparison. J. Geogr. Sci., 28, 3-14.

104. Zha J. L., J. Wu, D. M. Zhao, and J. P. Tang, 2018: A possible recovery of the near-surface wind speed in Eastern China during winter after 2000 and the potential causes. Theoretical and Applied Climatology, doi: 10.1007/s00704-018-2471-z.

105. Zhang S., G. Huang, Y. Qi, G. Jia 2018: Impact of urbanization on summer rainfall in Beijing–Tianjin–Hebeimetropolis under different climate backgrounds. Theoretical and Applied Climatology 133: 1093–1106.

106. Li, Y., Y. Li, X. Yuan, L. Zhang, and S. Sha, 2018: Evaluation of Model-based Soil Moisture Drought Monitoring over Three Key Regions in China. Journal of Applied Meteorology and Climatology, 57, 1989-2004, doi:10.1175/JAMC-D-17-0118.1

107. LV M., H. Lu*, K. Yang, Z. Xu, M. Lv, X. Huang, 2018: Assessment of runoff components simulated by GLDAS against UNH-GRDC Dataset at global and hemispheric scales. Water, 10, 969, doi: 10.3390/w10080969.

108. Li, L., R. Zhang, M. Wen, J. Duan, 2018: Modulation of Atmospheric Quasi-biweekly Oscillation on the Intensity of Nascent Tibetan Plateau Vortices. Advances in Atmospheric Sciences. doi: 10.1007/s00376-018-8057-y.

109. Liu XJ, Tian GJ, Feng JM, Ma BR, Wang Jun, Kong LQ. 2018: Modeling warming impact of urban land expansion on hot weather using the Weather Research and Forecasting model: a case study of Beijing, China. Advances in Atmospheric Sciences, 35(6), 723-736, doi: 10.1007/s00376-017-7137-8.

110. Yang Xinlin and Sun Jianhua, 2018: Organizational Modes of Severe Wind-producing Convective Systems over North China. Adv. Atmos. Sci., 35(5), 540-549.

111. Terry, J.P., G. Jia, R. Boldi, S. Khan 2018: The Delhi ‘gas chamber’: smog, air pollution and the health emergency of November 2017. Weather 73(11): 348-352.

112. Jiang, X. L., F. M. Ren, Y. J. Li, W. Y. Qiu, Z. G. Ma, and Q. B. Cai, 2018: Characteristics and Preliminary Causes of Tropical Cyclone Extreme Rainfall Events over Hainan Island, Advances in Atmospheric Sciences, 35(5), 580-591, doi:10.1007/s00376-017-7051-0.

113. Yong Zhang, Lejian Zhang, Jianping Guo, Jinming Feng, Qing Zhou, Liangxu Li, Bai Li, Mengyun Lou, 2018: The Climatology of Cloud Base Height from Long-term Radiosonde Measurements in China, Advances in Atmospheric Sciences, 35 (2), 158-168, doi: 10.1007/s00376-017-7096-0.

114. Cao F.Q., T. Gao*, L. Dan, Z.G. Ma, X.J. Yang, and F.Q. Yang, 2018: Contribution of large-scale circulation anomalies to variability of summer precipitation extremes in northeast China. Atmos Sci Lett., e867. https://doi.org/10.1002/asl.867.

115. Dai A., T. Zhao, and J. Chen, 2018: Climate change and drought: a precipitation and evaporation perspective. Current Climate Change Reports, 4(3), 301-312. doi: https://doi.. org/10.1007/s40641-018-0101-6.

116. Tao, J., Z. S. Zhang, Y. F. Wu, Z. J. Lin, J. J. Cao, Z. X. Shen, and R. J. Zhang, 2018: Characteristics of mass absorption efficiency of elemental carbon in urban Chengdu, Southwest China: implication for the coating effects on aerosol absorption. Aerosol Science and Engineering, doi: 10.1007/s41810-018-0022-8.

117. 陈亮, 段建平*, 马柱国, 2018: 大气环流形势客观分型及其与中国降水的联系[J]. 地球科学进展, 33(4): 396-403, doi:10.11867/j.issn.1001-8166.2018.04.0396.

118. 窦以文,丹利*严中伟李珍,胡保昆,史君卿,2018:基于均一化观测序列的京津冀地区气候变化格局分析.气候与环境研究, 23(5):524-532,doi:10.3878/j.issn.1006-9585.2018.17054.

119. 符传博,丹利*冯锦明彭静,营娜,2018: 我国对流层二氧化碳非均匀动态分布特征及其成因. 地球物理学报61, DOK:10.6038/cjg2018L0266.

120. 符传博,丹利*2018: 大气污染加剧对中国区域散射辐射比例的影响.科学通报, 63(25), 2655-2665.

121. 符传博,丹利*冯锦明彭静,营娜,20181960-2012 年中国地区总云量时空变化及其与气温和水汽的关系. 大气科学doi:10.3878/j.issn.1006-9895.1801.17235.

122. 符传博,丹利*,唐家翔,林晓斌,2018:近33年海南岛霾污染的气候特征及天气型分类.气候变化研究快报,7(5): 371-380.

123. 马柱国, 符淙斌, 杨庆, 郑子彦,吕美霞, 李明星, 段亚雯, 陈亮 2018: 关于我国北方干旱化及其转折性变化[J].大气科学,42(04): 951-961.

124. 胡祖恒, 徐忠峰, 马柱国. 2018. 欧洲地区不同温室气体背景下土地利用/覆盖变化的气候效应 [J]. 气候与环境研究, 23 (2): 176-184.

125. 张霞李明星马柱国. 2018: 30年全球干旱半干旱区的蒸散变化特征[J].大气科学,42(02): 251-267.

126. 时子童贾根锁*,胡永红. 2018: 基于卫星遥感揭示长三角台站周边城市土地利用扩张及其对气温记录的影响. 气候与环境研究, 23(05): 607-618.

127. 童宣严中伟*李珍、曹丽娟、江志红 2018:近百年中国两次年代际气候变暖中的冷暖平流背景。气象学报4554-565.

128. 王芳熊喆,延晓冬,戴新刚,王磊斌,李亚飞,2018,杨属物种多样性在中国的地理分布格局.生态学报,38( 1) : 282-290.

129. 严中伟,裴琳,周天军,朱江 2018: 2017年冬季北京霾日极少的大尺度气候和环流背景 - 兼论“霾气候”预测研究。气象学报76 (5) 816-823.

130. 赵天保*,从靖, 2018: 基于CCSM4.0长期积分试验评估不同辐射强迫对中国干旱半干旱区降水的影响. 大气科学42(2).doi:10.3878/j.issn.1006-9895.1706.16167.

131. 邓慧平*,王倩,丹利2018:气候对森林-径流关系的影响. 水资源与水工程学报,  29(4), 18-24.

132. 邓祥征*丹利,叶谦,王兆华,刘宇,张雪艳,张帆,祁威,王国峰,王佩,白羽萍,2018:碳排放和减碳的社会经济代价研究进展与方法探究. 地球信息科学学报 2018,20(4), 405-413.

133. 符传博*,唐家翔,丹利,马明明,2018: 2014-2016年海口市空气质量概况及预报效果检验. 环境科学学报,第7.

134. 罗笠, 肖化云, 许世杰, 肖红伟, 王燕丽, 李嘉伟, 高树基, 2018: 彭佳屿岛春季TSP中痕量金属组成及其来源解析. 环境科学研究, 31(3), 475-486.

135. 武利阳,左洪超,冯锦明,陈伯龙,董龙翔,2018: 中国土地利用和植被覆盖度变化对区域气候影响的数值模拟,20183),兰州大学学报.

136. 武利阳,左洪超,冯锦明2018:华北平原地下水灌溉对区域气候影响的数值模拟. 气象学报76(4): 635648DOI: 10.11676/qxxb2018.017.

 

已接收论文

1. Li, Y.*, X. Yuan*, and H. Zhang, et al., 2018: Mechanisms and Early Warning of Drought Disasters: An Experimental Drought Meteorology Research over China (Drought EX_China). Bulletin of the American Meteorological Society.

2. Wang, S., X. Yuan*, and R. Wu, 2018: Attribution of the persistent spring-summer hot and dry extremes over Northeast China in 2017. Bulletin of the American Meteorological Society, 99, 10.1175/BAMS-D-18-0120.1, in press.

3. Yu S., J. Xia*, Z. Yan*, A. Zhang, Y. Xia, D. Guan, J. Han, J. Wang, L. Chen, and Y. Liu, 2018: Loss of work productivity in a warming world: Differences between developed and developing countries. Journal of Cleaner Production, 208, 1219-1225.

4. Luo, L., Y. F. Wu, H. Y. Xiao, R. J. Zhang, H. Lin, X. L. Zhang, and S.-J. Kao, 2019: Origins of aerosol nitrate in Beijing during late winter through spring. Sci. Tot. Environ., doi: 10.1016/j.scitotenv.2018.10.306.

5. Pei L; Yan ZW 2018: Diminishing clear winter skies in Beijing towards a possible future. Environmental Research Letters.

6. Naiming Yuan*, Gerald Moser, Christoph Mueller, Wolfgang A. Obermeier, Joerg Bendix, and Juerg Luterbacher, 2018: Extreme climatic events down-regulate the grassland biomass response to elevated carbon dioxide. Scientific Reports.

7. Ji, P., and X. Yuan*, 2018: High resolution land surface modeling of hydrological changes over the Sanjiangyuan region in the eastern Tibetan Plateau: 2. Impact of climate and land cover change. Journal of Advances in Modeling Earth Systems, doi: 10.1029/2018MS001413.

8. Yuan, X.*, P. Ji, L. Wang, X.-Z. Liang, K. Yang, A. Ye, Z. Su, and J. Wen, 2018: High resolution land surface modeling of hydrological changes over the Sanjiangyuan region in the eastern Tibetan Plateau: 1. Model development and evaluation. Journal of Advances in Modeling Earth Systems, doi: 10.1029/2018MS001412.

9. Xiong F., N. Yuan*, X. Ma, Z. Lu, and J. Gao, 2018: On memory and non-memory parts of surface air temperatures over China: can they be simulated by decadal hindcast experiments in CMIP5? Climate Dynamics, http://doi.org/10.1007/s00382-018-4395-9.

10. Xie F., N. Yuan*, Y. Qi, and W. Wu, 2018: Is long-term climate memory important in temperature/precipitation predictions over China? Theoretical and Applied Climatology, http://doi.org/10.1007/s00704-018-2608-0.

11. Wang, Y., J. Feng*, Z. Zheng, S. Jin, 2018: Sensitivity of the Weather Research and Forecasting Model to radiation schemes in ChinaJ. Trop. Meteorol.

12. Liang, P., Z.-Z. Hu, Y. Liu, X. Yuan, X. Li, and X. Jiang, 2018: Challenges in predicting and simulating summer rainfall in the eastern China. Climate Dynamics: 2018, doi: 10.1007/s00382-018-4256-6, in press.

13. 邓慧平,丹利* ,王倩,杨秀静杨富强2018:气候变化对西南亚高山区流域碳水平衡的影响模拟. 生态环境学报.

14. 高冬冬丹利*,范广洲,彭静杨秀静杨富强李悦悦2018:地球系统模式中植被净初级生产力百年尺度时空变化及其与气候的关系.气候与环境研究.

15. 门晓磊,焦瑞莉,王鼎,赵晨光,刘亚昆,夏江江*,李昊辰,严中伟,孙建华,王立志,基于机器学习的华北气温多模式集合预报的订正方法,气候与环境研究.

16. 钱诚*, 严中伟, 曹丽娟,李珍2018:基于1873年以来器测气温的二十四节气气候变化. 气候与环境研究, doi: 10.3878/j.issn.1006-9585.2018.18044.

17. 孙全德,焦瑞莉,夏江江*严中伟,李昊辰,孙建华,王立志,梁钊明,2018:基于机器学习的数值天气预报风速订正研究,气象.

18. 田磊,裴琳,陈宇罡,夏江江*,汪翔,201819702015年蚌埠地区霾日气候资料重建及时空变化特征,气象与环境学报.

19. 周心河熊喆2018:区域气候模式不同积云对流参数化方案对新疆气候模拟的影响研究,气候与环境研究.