正式发表论文
1. Bao, J., J. Feng, 2016: Intercomparison of CMIP5 simulations of summer precipitation, evaporation and water vapor transport over Yellow and Yangtze River basins, Theor. Appl. Clim., 123(3-4): 437-452, doi: 10.1007/s00704-014-1349-y.
2. Cao, L., Y. Zhu, G. Tang, F. Yuan, and Z. Yan, 2016: Climatic warming in China according to a homogenized dataset from 2419 stations. International Journal of Climatology. doi: 10.1002/joc.4639.
3. Chen, L., Y. Li, F. Chen, A. Barr, M. Barlage and B. Wan, 2016: The incorporation of an organic soil layer in the Noah-MP land surface model and its evaluation over a boreal aspen forest. Atmospheric Chemistry and Physics, 16(13), pp.8375-8387. doi:10.5194/acp-16-8375-2016.
4. Chen. L., Z. Ma, and T. Zhao, 2016: Modeling and analysis of the potential impacts on regional climate due to vegetation degradation over arid and semi-arid regions of China. Climatic Change. doi: 10.1007/s10584-016-1847-2.
5. Chen. L., Z. Ma. R., Mahmood, T. Zhao, Z. Li, and Y. Li, 2016: Recent land cover changes and sensitivity of the model simulations to various land cover datasets for China. Meteorology and Atmospheric Physics. doi: 10.1007/s00703-016-0478-5.
6. Dai A., and T. Zhao, 2016: Uncertainties in historical changes and future projections of drought. Part I: Estimates of historical drought changes. Climatic Change, doi: 10.1007/s10584-016-1705-2.
7. Ding, A.J., X. Huang, W. Nie, J.N. Sun, V.-M. Kerminen, T. Petäjä, H. Su, Y. F. Cheng, X. Q. Yang, M. H. Wang, X.G. Chi, J. P. Wang, A. Virkkula, W. D. Guo, J. Yuan, S.Y. Wang, R.J. Zhang, Y. F. Wu, Y. Song, T. Zhu, S. Zilitinkevich, M. Kulmala, and C. B. Fu, 2016: Black carbon enhances haze pollution in megacities in China, Geophy. Res. Let., 43, doi: 10.1002/2016GL067745.
8. Ding, M., C. Xiao, Y. Yang, Y. Wang, C. Li, N. Yuan, G. Shi, W. Sun, and J. Ming, 2016: Re-assessment of recent (2008-2013) surface mass balance over Dome Argus, Antarctica, Polar Research, 35: 26133.
9. Duan. Y., Z. Ma, Q. Yang, 2016: Characteristics of consecutive dry days variations in China. Theor. Appl. Climatol., doi: 10.1007/s00704-016-1984-6.
10. Fan L., and D. Chen, 2016: Trends in extreme precipitation indices across China detected using Quantile regression. Atmospheric Sciences Letters, doi:10.1002/asl.671, published online.
11. Fu S., J. Zhang, J. Sun, and T. Zhao, 2016: Composite analysis of long-lived mesoscle vortices over the middle reaches of the Yangtze River valley: Octant features and evolution mechanisms. J. Climate, 29, 761-781, doi:10.1175/JCLI-D-15-0175.1.
12. Gu, H, Z. Ma, and M. Li, 2016: Effect of a large and very shallow lake on local summer precipitation over the Lake Taihu basin in China. Journal of Geophysical Research Atmospheres, 121, 8832–8848, doi: 10.1002/2015JD024098.
13. Han, Z. W., Z. X. Xie, G. H. Wang, R. J. Zhang, and J. Tao, 2016: Modeling organic aerosols over east China using a volatility basis-set approach with aging mechanism in a regional air quality model Original Research Article, Atmospheric Environment, 124(B): 186-198.
14. Han, Z., F. Luo, and J. Wan, 2016: The observational influence of the North Atlantic SST tripole on the early spring atmospheric circulation, Geophys. Res. Lett., 43, doi: 10.1002/2016GL068099.
15. Han, Z., F. Luo, S. L. Li, Y. Gao, T. Furevik, and L. Svendsen, 2016: Simulation by CMIP5 Models of the Atlantic Multidecadal Oscillation and Its Climate Impacts, Adv. Atmos. Sci., 33, 1329-1342.
16. Han, Z., S. Li, J. P. Liu et al., 2016: Linear Additive Impacts of Arctic Sea Ice Reduction and La Niña on Northern Hemispheric Winter Climate, J. Climate, 29，DOI: http://dx.doi.org/10.1175/JCLI-D-15-0416.1.
17. Ho, K. F., S. S. H. Ho, R. J. Huang, H. C. Chuang, J. J. Cao, Y. M Han, K. H. Lui, Z. Ning, K. J. Chuang, T. J. Cheng, S. C. Lee, D. Hu, B. Wang, and R. J. Zhang, 2016: Chemical composition and bioreactivity of PM2.5 during 2013 haze events in China, Atmospheric Environment, 126: 162-170.
18. Hu, Y., G. Jia, J. van Genderen, X. Zhang, C. Pohl, 2016: Assessing Surface Albedo Change and its Induced Radiation Budget under Rapid Urbanization with Landsat and GLASS Data, Theoretical and Applied Climatology 123(3): 711-722, doi: 10.1007/s00704-015-1385-2.
19. Leng, C. P., J. Y. Duan, C. Xu, H. Zhang, Y. F. Wang, Y. Y. Wang, X. Li, L. D. Kong, J. Tao, R. J. Zhang, T. T Cheng, S. P Zha, and X. N. Yu, 2016: Insights into a historic severe haze event in Shanghai: synoptic situation, boundary layer and pollutants, Atmos. Chem. Phys., 16, 9221–9234.
20. Li, J. W., and Z. W. Han, 2016: Aerosol vertical distribution over east China from RIEMS-Chem simulation in comparison with CALIPSO measurements. Atmospheric Environment, 143, 177-289.
21. Li, J. W., and Z. W. Han, 2016: Seasonal Variation of Nitrate Concentration and Its Direct Radiative Forcing over East Asia, Atmosphere, 7(8), 105; doi:10.3390/atmos7080105.
22. Li, M. X., Z. G. Ma, and M. X. Lv, 2016: Variability of modeled runoff over China and its links to climate change. Climatic Change, doi: 10.1007/s10584-015-1593-x.
23. Li, Z., L. Cao, Y. Zhu, and Z. Yan, 2016：Comparison of two homogenized datasets of daily maximum/mean/minimum temperatures in China during 1960-2013. Journal of Meteorological Research 30 (1), 53–66. doi: 10.1007/s13351-016-5054-x
24. Li, Z., L. J. Cao, Y. N. Zhu, and Z. W. Yan, 2016: Comparing two homogenized datasets of daily maximum/mean/minimum temperatures in China during 1960-2013. J. Meteor. Res., 30(1), 53-56.
25. Li, C., T. Zhao, and K. Ying, 2016: Effects of anthropogenic aerosols on temperature changes in China during the 20th century based on CMIP5 models. Theor. Appl. Climatology, 125, 529-540, doi: 10.1007/s00704-015-1527-6.
26. Hua, L. J., L. H. Zhong, and Z. J. Ke, 2016: Precipitation recycling and soil–precipitation interaction across the arid and semi-arid regions of China, International Journal of Climatology, 36: 3708-3722.
27. Lin, S., J. Feng, J. Wang, and Y. Hu, 2016: Modeling the contribution of long-term urbanization process to temperature increasing in three vast urban agglomerations in China. Journal of Geophysical Research-Atmosphere, 121, 1683-1697.
28. Lin, Y. C., S. C. Hsu, C. C.K. Chou, R. J. Zhang, Y. F. Wu, S.J. Kao, L. Luo, C. H. Huang, S. H. Lin, and Y. T. Huang, 2016: Wintertime haze deterioration in Beijing by industrial pollution deduced from trace metal fingerprints and enhanced health risk by heavy metals, Environ. Pollut., 208, 284–293. http://dx.doi.org/10.1016/j.envpol.2015.07.044.
29. Liu, C, K. Ikeda, R. M. Rasmusse, M. Barlage, A.J. Newman, A.F. Prein, F. Chen, L. Chen, M. Clark, A. Dai, J. Dudhia, T. Eidhammer, D. Gochis, E. Gutmann, S. Kurkute, Y. Li, G. Thompson, and D. Yates, 2016: Continental-scale convection-permitting modeling of the current and future climate of North America. Climate Dyn., doi:10.1007/s00382-016-3327-9.
30. Liu, R. T., and Z. W. Han, 2016: The Effects of Anthropogenic Heat Release on Urban Meteorology and Implication for Haze Pollution in the Beijing-Tianjin-Hebei Region. Advances in Meteorology, Volume 2016, Article ID 6178308.
31. Lu, Z., N. Yuan, and Z. Fu, 2016: Percolation phase transition of surface air temperature networks under attacks of El Nino/La Nina, Scientific Reports, 6: 26779.
32. Luo, D., S. Feng, and L. Wu, 2016: The eddy-dipole mode interaction and the decadal variability of the Kuroshio Extension system. Ocean dynamics, 66, 1317-1332, DOI 10.1007/s10236- 016-0991-6.
33. Luo, D., Y. Xiao, Y. Diao, A. Dai, C. Franzke, and I. Simmonds, 2016: The impact of Ural blocking on winter warm Arctic-cold Eurasian anomalies. Part II: The link to the North Atlantic Oscillation, J. Climate, 29, 3949-3971.
34. Luo, D., Y. Xiao, Y. Yao, A. Dai, I. Simmonds and C. Franzke, 2016: The impact of Ural blocking on winter warm Arctic-cold Eurasian anomalies. Part I: Blocking-induced amplification, J. Climate, 29, 3925-3947.
35. Luo, L., X.H. Yao, H.W. Gao, S.C. Hsu, J.W. Li, and S.J. Kao, 2016: Nitrogen speciation in various types of aerosols in spring over the northwestern Pacific Ocean, Atmospheric Chemistry and Physics, 16, 325-341, doi:10.5194/acp-16-325-2016.
36. Lv, M. X., Z. Hao, Z. Lin, Z. Ma, et al., 2016: Reservoir Operation with Feedback in a Coupled Land Surface and Hydrologic Model: A Case Study of the Huai River Basin, China. JAWRA Journal of the American Water Resources Association, 52(1): 168-183, doi: 10.1111/1752-1688.12375.
37. Elser, M., R. J. Huang, R. Wolf, J. G. Slowik, Q.Y. Wang, F. Canonaco, G. H. Li, C. Bozzetti, K. R. Daellenbach, Y. Huang, R.J. Zhang, Z.Q. Li, J. J. Cao, U. Baltensperger, I. El-Haddad, and A. S. H. Prévôt, 2015, New insights into PM2.5 chemical composition and sources in two major cities in China during extreme haze events using aerosol mass spectrometry, Atmos. Chem. Phys., 16, 3207–3225.
38. Ma, X. X., H. N. Liu, X. Y. Wang, and R. J. Zhang, 2016: The radiative effects of anthropogenic aerosols over China and their sensitivity to source emission, Journal of Tropical Meteorology, 22(1), 94-108. doi: 10.16555/j.1006-8775.2016.01.011.
39. Pei, L., J. J. Xia, Z. W. Yan, and H. Yang, 2016: Assessment of the Pacific decadal oscillation’s contribution to the occurrence of local rainfall in north China, Climatic Change, DOI: 10.1007/s10584-016-1610-8.
40. Piao, L., Z. Fu, and N. Yuan, 2016: “Intrinsic” correlations and their temporal evolutions between winter-time PNA/EPW and winter drought in the west United States, Scientific Reports , 6: 19958.
41. Qi, Y., C. Qian, and Z. Yan, 2016: An alternative multi-model ensemble mean approach for near-term projection. International Journal of Climatology, DOI: 10.1002/joc.4690.
42. Qian, C., 2016: Disentangling the urbanization effect, multi-decadal variability, and secular trend in temperature in eastern China during 1909–2010. Atmospheric Science Letters, 17(2), 177–182.
43. Qian, C., 2016: Impact of land use/land cover change on changes in surface solar radiation in eastern China since the reform and opening up. Theor. Appl. Climatol., 123(1), 131–139.
44. Qian, C., 2016: On trend estimation and significance testing for non-Gaussian and serially dependent data: quantifying the urbanization effect on trends in hot extremes in the megacity of Shanghai. Climate Dynamics, 47, 329-344.
45. Qian, C., G. Ren, and Y. Zhou, 2016: Urbanization effects on climatic changes in 24 particular timings of the seasonal cycle in the middle and lower reaches of the Yellow River. Theor. Appl. Climatol., 124(3), 781-791.
46. Shao J.J., X.H. Zhou, Y.Q. Luo, G.D. Zhang, W. Yan, J.X. Li, B. Li, and L. Dan et al.2016: Uncertainty analysis of terrestrial net primary productivity and net biome productivity in China during 1901–2005, JGR-Biogeosciences, 121(5), 1372-1393.
47. Su, H. F., Z. Xiong, X. D. Yan, X. G. Dai, and W. G. Wei, 2016: Comparison of monthly rainfall generated from dynamical and statistical downscaling methods: a case study of the Heihe River in China, Theor. Appl. Climatol. DOI: 10.1007/s00704-016-1771-4.
48. Tang, Q., X. Zhang, Q. Duan, S. Huang, X. Yuan, H. Cui, Z. Li, and X. Liu, 2016: Hydrological monitoring and seasonal forecasting: progresses and perspectives. Journal of Geographical Sciences, 26(7), 904-920, doi: 10.1007/s11442-016-1306-z.
49. Tao, J., L. Zhang, R. Zhang, Y. Wu, Z. Zhang, X. Zhang, Y. Tang, J. Cao, and Y. Zhang, 2016: Uncertainty assessment of source attribution of PM2.5 and its water-soluble organic carbon content using different biomass burning tracers in positive matrix factorization analysis — a case study in Beijing, China. Science of the Total Environment, 543, 326–335.
50. Wang, H., G. Jia, A. Zhang, and C. Miao, 2016: Assessment of spatial representativeness of eddy covariance flux data from flux tower to regional grid. Remote Sensing, 8(9), 742, doi:10.3390/rs8090742.
51. Wang, J., J. Feng, Q. Wu, and Z. Yan, 2016: Impact of Anthropogenic Aerosols on Summer Precipitation in the Beijing-Tianjin-Hebei Urban Agglomeration in China: Regional Climate Modeling Using WRF-Chem. Advances in Atmospheric Sciences, 33 (6), 753-766.
52. Wang, J., J. Feng, and Z. Yan, 2016: Potential sensitivity of warm season precipitation to urbanization extents: Modeling study in Beijing-Tianjin-Hebei urban agglomeration in China. Journal of Geophysical Research Atmos, doi:10.1002/2015JD023572.
53. Wang, J., Z. Yan, X. Quan, and J. Feng, 2016: Urban warming in the 2013 summer heat wave in eastern China. Climate Dynamics, DOI: 10.1007/s00382-016-3248-7.
54. Wang, J., J. Feng, Z. Yan, and Q. Wu, 2016: Impact of Anthropogenic Aerosols on Summer Precipitation in the Beijing-Tianjin-Hebei Urban Agglomeration in China: Regional Climate Modeling using WRF-Chem. Adv. Atmos. Sci., 33(6), 753-766, doi:10.1007/s00376-015-5103-x.
55. Wang, L., G. Huang, W. Zhou, and W. Chen, 2016: Historical change and future scenarios of sea level rise in Macau and the adjacent waters. Adv. Atmos. Sci., 33(4), 462–475, DOI: 10.1007/s00376-015-5047-1.
56. Wang, L., W. Chen, W. Zhou, and G. Huang, 2016: Understanding and detecting super extreme droughts in Southwest China through an integrated approach and index. Q. J. R. Meteorol. Soc., 142(694), 529–535, DOI: 10.1002/qj.2593.
57. Wang, L., X. Yuan, Z. Xie, P. Wu, and Y. Li, 2016: Increasing flash droughts over China during the recent global warming hiatus. Scientific Reports, 6, 30571, doi: 10.1038/srep30571.
58. Wang, P., and X. G. Dai, 2016:“APEC Blue” association with emission control and meteorological conditions detected by multi-scale statistics, Atmospheric Research, 178–179: 497–505, http://dx.doi.org/10.1016/j.atmosres.2016.05.001.
59. Wu, Y., R. Zhang, P. Tian, J. Tao, S.-C. Hsu, P. Yan, Q. Wang, J. Cao, X. Zhang, and X. Xia, 2016: Effect of ambient humidity on the light absorption amplification of black carbon in Beijing during January 2013. Atmospheric Environment, 124, 217-223.
60. Wu, J., J. L. Zha, and D. Zhao, 2016: Estimating the impact of the changes in land use and cover on the surface wind speed over the East China Plain during the period 1980-2011. Clim. Dyn., 46, 847-863, doi: 10.1007/s00382-015-2616-z.
61. Wu, J., J. L. Zha, and D. Zhao, 2016: Evaluating the effects of land use and cover change on the decrease of surface wind speed over China in recent 30 years using a statistical downscaling method. Clim. Dyn, 1-19, doi: 10.1007/s00382-016-3065-z.
62. Xia, J. J., K. Tu, Z. W. Yan, and Y. J. Qi, 2016: The super-heat wave in eastern China during July-August 2013: a perspective of climate change. International Journal Climatology, 36, 1291-1298, DOI: 10.1002/joc.4424.
63. Xia, X., H. Che, J. Zhu, H. Chen, Z. Cong, X. Deng, X. Fan, Y. Fu, P. Goloub, H. Jiang, Q. Liu, B. Mai, P. Wang, Y. Wu, R. Zhang, Zhang, and X. Zhang, 2016: Ground-based remote sensing of aerosol climatology in China: Aerosol optical properties, direct radiative effect and its parameterization. Atmospheric Environment, 124: 243-251.
64. Xie, Z., L. Wang, B. Jia, and X. Yuan, 2016: Measuring and modelling the impact of a severe drought on terrestrial ecosystem CO2 and water fluxes in a subtropical forest. Journal of Geophysical Research: Biogeosciences, 121, 2576-2587, doi:10.1002/2016JG003437.
65. Xu, Z., Z. Hou, Y. Han, and W. Guo, 2016: A diagram for evaluating multiple aspects of model performance in simulating vector fields. Geoscientific Model Development, doi: 10.5194/gmd-9-1-2016.
66. Yao, Y., D. Luo, A. Dai, and S. Feldstein, 2016: The positive North Atlantic Oscillation with downstream blocking and Middle East snowstorms: Impacts of the North Atlantic jet. J. Climate, 29, 1853-1876.
67. Yang, Q., Z. Ma and B. Xu, 2016: Modulation of monthly precipitation patterns over East China by the Pacific Decadal Oscillation. Climatic Change, DOI10.1007/s10584-016-1662-9.
68. Ying, K., T. Zhao*, X. Zheng, X.-W. Quan, C.S. Frederiksen, and M. Li, 2016: Predictable signals in seasonal mean soil moisture simulated with observation-based atmospheric forcing over China. Climate Dynamics, 47, 2373-2395, doi: 10.1007/s00382-014-2411-2.
69. Ying, K., X. Zheng, T. Zhao, C. S. Frederiksen, and X. W. Quan, 2016: Identifying the predictable and unpredictable patterns of spring-to-autumn precipitation over eastern China. Climate Dynamics, doi: 10.1007/s00382-016-3258-5.
70. Yuan, N., E. Xoplaki, C. Zhu, and J. Luterbacher, 2016: A novel way to detect correlations on multi-time scales, with temporal evolution and for multi-variables. Scientific Reports, 6, 27707.
71. Yuan, X., F. Ma, L. Y. Wang, Z. Y. Zheng, Z. G. Ma, A. Z. Ye, and S. M. Peng, 2016: An experimental seasonal hydrological forecasting system over the Yellow River basin-Part 1: Understanding the role of initial hydrological conditions. Hydrol. Earth Syst. Sci., 20, 2437-2451, doi: 10.5194/hess-20-2437-2016.
72. Yuan, X., 2016: An experimental seasonal hydrological forecasting system over the Yellow River basin-Part II: The added value from climate forecast models. Hydrology and Earth System Sciences, 20, 2453–2466, doi: 10.5194/hess-20-2453-2016.
73. Zha, J. L., J. Wu and D. M. Zhao, 2016: Changes of probabilities in different wind grades induced by land use and cover change in Eastern China Plain during 1980–2011. Atmos. Sci. Let. 17 : 264–269.
74. Zhang, W., Z. Xu, and W. Guo, 2016: The impacts of land-use and land-cover change on tropospheric temperatures at global and regional scales. Earth Interactions, 20, 1-23, doi:10.1175/EI-D-15-0029.1.
75. Zhao, D., and J. Wu, 2016: The influence of urban surface expansion in China on regional climate. J. Clim., doi:10.1175/JCLI-D-15-0604.1.
76. Zhao, T., and A. Dai, 2016: Uncertainties in historical changes and future projections of drought. Part II: Model simulated historical and future drought changes. Climatic Change, doi:10.1007/s10584-016-1742-x.
77. Zhao, T., C. Li, and Z. Zuo, 2016: Contributions of human activities and external natural forcings to climate changes over China based on the CMIP5 simulations. Science in China (D), 59, 503-517, doi: 10.1007/s11430-015-5207-2.
78. Zheng, H., and Z.-L. Yang, 2016: Effects of soil-type datasets on regional terrestrial water cycle simulations under different climatic regimes. Journal of Geophysical Research: Atmospheres, 121, doi:10.1002/2016JD025187.
79. Zheng, Z. Y., Z. G. Ma, M. X. Li, and J. J. Xia, 2016: Regional water budgets and hydroclimatic trend variations in Xinjiang from 1951 to 2000. Climatic Change, 1-14,doi: 10.1007/s10584-016-1842-7.
80. Zhong, L., L. Hua, and D. Luo, 2016: The eddy-mean flow interaction and the intrusion of western boundary current into the South China Sea type basin in an idealized model. J. Phys. Ocean., 46, 2493-2527.
81. Zou, S., H. Ruan, Z. Lu, D. Yang, Z. Xiong, Z. liang, and Y. Yan, 2016: Runoff simulation in the upper Reaches of Heihe River Basin Based on the RIEMS-SWAT Model. Water, 8, 455, doi:10.3390/w8100455.
82. Huang, Y. W., L. J. Huan, L. H. Zhong, and S. D. Feng, 2016: Characteristics of mesoscale eddies in South China Sea. Journal of University of Chinese Academy of Sciences, 33(1): 97-106.
83. Que, L., W. Que, and J. Feng, 2016: Intercomparison of different physics schemes in the WRF model over the Asian summer monsoon region. Atmos. Oceanic Sci. Lett., 9 (3), 169-177, doi: 10.1080/16742834.2016.1158618.
84. Wang, J., and Z. Yan, 2016: Urbanization-related warming in local temperature records: A review. Atmospheric Oceanic Science Letters, 9(2), 129-138.
85. Zhou, Y., and G. Jia, 2016: Precipitation as a control of vegetation phenology for temperate steppes in China. Atmospheric and Oceanic Science Letters, 9(3), 162-168, doi: 10.1080/16742834.2016.1165594.
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已接收论文
1. Bogachev, M. I., N. Yuan, and A. Bunde, 2016: Fractals and Multifractals in Geophysical Time Series, Book Chapter, Fractals: Concepts and Applications in Geosciences CRC Press (accepted).
2. Lou, J., X. Zheng, C. S. Frederiksen, H. Liu, S. Grainger, and K. Ying, 2016: Simulated Decadal Modes of the NH Atmospheric Circulation Arising from Intra-decadal variability, external forcing and slow-decadal climate processes. Climate Dynamics, doi: 10.1007/s00382-016-3229-x.
3. Qi, Y., C. Qian, and Z. Yan, 2016: An alternative multi-model ensemble mean approach for near-term projection. International Journal of Climatology, doi: 10.1002/joc.4690.
4. Schlaepfer, D.R., J.B. Bradford, W.K. Lauenroth, S.M. Munson, B. Tietjen, S.A. Hall, S.D. Wilson, M.C. Duniway, G. Jia, D.A. Pyke, A. Lkhagva, and K. Jamiyansharav, 2016: Climate change reduces extent of temperate drylands and intensifies drought in deep soils. Nature Communications (in press).
5. Tan, S.-C., J.W. Li, H.W. Gao, H. Wang, H.Z. Che, and B. Chen, 2017: Satellite-Observed Transport of Dust to the East China Sea and the North Pacific Subtropical Gyre: Contribution of Dust to the Increase in Chlorophyll during Spring 2010. Atmosphere, doi:10.3390/atmos7110152 (accepted).
6. Tan, S.-C., J.W. Li, H.Z. Che, B. Chen, and H. Wang, 2017: Transport of East Asian dust storms to the marginal seas of China and the southern North Pacific in spring 2010. Atmospheric Environment, http://dx.doi.org/10.1016/j.atmosenv.2016.10.054 (accepted).
7. Tietjen, B., D.R. Schlaepfer, J.B. Bradford, W.K.Lauenroth, S.A. Hall, M.C. Duniway, T. Hochstrasser, G. Jia, S.M. Munson, D.A. Pyke, and S.D. Wilson, 2016: Climate change-induced vegetation shifts lead to more ecological droughts despite projected rainfall increases in many global temperate drylands. Global Change Biology (in press).
8. Wang, L., W. Chen, G. Huang*, and G. Zeng, 2017: Changes of the Transitional Climate Zone in East Asia: Past and Future. Clim. Dyn., doi: 10.1007/s00382-016-3400-4.
9. Wang, J., S. Tett, and Z. Yan, 2016: Correcting urban bias in large-scale temperature records in China, 1980-2009. Geophysical Research Letters (accepted).
10. Yang, Q., M. LI, Z. Zheng, and Z. Ma, 2016: Regional applicability of seven meteorological drought indices in China. Science China: Earth Sciences.
11. Yang, Q., and D., L. Dan, 2017: The improvement of a land surface model to simulate the freeze-thaw process in the source region of Yellow river. Global and Planetary Change.
12. Zhang, X., Y. Hu, G. Jia, M. Hou, Y. Fan, Z. Sun, and Y. Zhu, 2016: Land surface temperature shaped by urban fractions in megacity region. Theoretical and Applied Climatology (in press), doi: 10.1007/s00704-015-1683-8.
13. Dai, X., P. Wang, 2016: A New Classification of Large-scale Climate Regimes around the Tibetan Plateau Based on Seasonal Circulation Patterns. Advances in Climate Change Research (in press).
14. Yan, Z., J. Wang, J. Xia, and J. Feng, 2016: Review of recent studies of the climatic effects of urbanization in China. Advances in Climate Change Research (accepted).
15. 从靖, 赵天保, 马玉霞, 2016: 中国北方干旱半干旱区降水的多年代际变化特征及其与太平洋年代际振荡的关系. 气候与环境研究.
16. 张蓓, 戴新刚, 2016:基于CMIP5的2006-2015年中国气温预估偏差分析及订正. 高原气象.
17. 徐保梁, 杨庆, 马柱国, 2016: 全球不同空间尺度陆地年降水的年代尺度变化特征. 大气科学.
18. 彭小桐，张霞，孙桂云, 2016: 西太平洋气旋频数、强度与地球日长、章动的相关性探索, 地球物理学进展.
19. 杨庆, 李明星, 郑子彦, 马柱国, 2016: 7种气象干旱指数的中国区域适应性研究. 中国科学-地球科学.
论著
1. 严中伟，刘盛和，叶谦，王君, 2016: 城市化需有序适应极端天气气候变化. 2015年国家综合防灾减灾与可持续发展论坛文集, 国家减灾委办公室、国家减灾委专家委员会主编, 中国社会出版社, 北京. pp163-170
2. Pan, M., X. Yuan, H. Lu, X. Li, and G. Qin, 2016: Soil moisture estimation using active and passive remote sensing techniques. Chapter 3 in Satellite Remote Sensing and Hydrological Capacity Building for Emerging Regions, edited by Y. Hong, Y. Zhang, and S. Khan, CRC Press. （论著章节）