1. Zhang, J., T. Zhao*, and coauthors, 2021: Evaluation of surface relative humidity in China from the CRA-40 and current reanalyses. Adv. Atmos. Sci., doi：10.1007/s00376-021-0333-6.

2. Li, C., T. Zhao*, C. Shi, and Z.-Q. Liu, 2021: Assesment of precipitation from the CRA40 and new generation reanalysis datasets in the global domin. Int. J. Climatol., doi: 10.1002/joc.7127.

3. Zhang, J., T. Zhao*, L. Zhou, and L. Ran, 2021: Historical changes and future projections of extreme temperature and precipitation along the Sichuan-Tibet Railway. J. Meteor. Res., 35(x), 1–14, doi: 0.1007/s13351-021-0175-2.

4. Zhong, L., L. Hua, Y. Yao, J., T. Zhao, 2021: Moisture transport to a typical transitional climate zone in North China forced by atmospheric and oceanic internal variability under the background of global warming. Int. J. Climatol., 1–21. https://doi.org/10.1002/joc.6999.

5. Liu, X., C. Li, and T. Zhao, 2020: Future changes of global potential evapotranspiration simulated from CMIP5 to CMIP6 models. Atmospheric and Oceanic Science Letters, doi: 10.1080/16742834.2020.1824983.

6. Lu, C., T. Zhao*, and C. Zhou, 2020: Evaluation of the Antarctic Circumpolar Wave simulated by CMIP5 and CMIP6 models. Atmosphere, doi: 10.3390/ATMOS11090931.

7. Yang, T., Q. Li, X. Chen, P. D. Maeyer, X. Yan,Y. Liu, T. Zhao, and L. Li, 2020: Spatiotemporal variability of the precipitation concentration and diversity in Central Asia. Atmospheric Research, https://doi.org/10.1016/j.atmosres.2020.104954.

8. Zhang, J., T. Zhao*, A. Dai, and W. Zhang, 2019: Detection and attribution of atmospheric precipitable water changes since the 1970s over China. Scientific Reports, doi: 10.1038/s41598-019-54185-z.

9. Li, C., T. Zhao*, C. Shi, and Z.-Q., Liu, 2019: Evaluation of precipitation from the China Meteorological Administration Global Atmospheric Interim Reanalysis on the daily scale in China. Journal of Meteorological Research, doi: 10.1007/s13351-020-8196-9.

10. Li, C., C. Wang, and T. Zhao, 2019: Seasonal co-variability of dryness/wetness in China and global sea surface temperature. J. Climate. , 33 (2), 727-747.

11. Li, C., and T. Zhao*, 2019: Seasonal responses of precipitation in China to El Niño and positive Indian Ocean dipole modes. Atmospere, 10, 372, doi: 10.3390/atmos10070372.

12. Zhang, J. and T. Zhao*, 2019: Historical and future changes of atmospheric precipitable water over China simulated by CMIP5 models. Climate Dynamics, 52(11), 6969-6988, doi: http://orcid.org/0000-0002-8295-6537.

13. Forbes,W. L., and 11 coauthors (including T. Zhao), 2019: Streamflow in the Columbia River Basin: Quantifying changes over the period 1951-2008 and determing the drivers of those changes. Water Resources Research, 55, doi: https://doi.org/10.1029/2018wWR024256.

14. Dai, A., T. Zhao, and J. Chen, 2018: Climate change and drought: a precipitation and evaporation perspective. Current Climate Change Reports, doi: https://doi.org/10.1007/s40641-018-0101-6.

15. 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, doi: https://doi.org/10.1088/1748-9326/aabb41.

16. Ying, K., C. 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. Clim. Dyn., doi: 10.1007/s00382-017-4060-8.

17. Zuo, Z., S. Yang, K. Xu, R. Zhang, Q. He, T. Zhao, and J. Cong, 2017: Land surface air temperature variations overEurasia and possible causes in the past century. Int. J. Climatol.. doi: 10.1002/joc.5306.

18. Ying, K., C. Frederiksen, T. Zhao, X. Zheng, Z. Xiong, Y. Xue,  and C. Li, 2017:  Predictable and unpredictable modes of seasonal mean precipitation over Northeast China. Clim. Dyn., doi: 10.1007/s00382-017-3795-6. 

19. Tang,Y., X. Song, Y. Zhang, D. Han, L. Ai, T. Zhao,  and Y. Wang, 2017: Using stable isotopes to understand seasonal and interannual dynamics in moisture sources and atmospheric circulation inprecipitation. Hydrological Processes,doi: 10.1002/hyp.11388.

20. Li, C., T. Zhao*, and K. Ying, 2017: Quantifying the contributions of anthropogenic and natural forcings to climate changes overland during 1946–2005. Climatic Change,. Climatic, doi: 10.1007/s10584-017-2028-7.

21. Li, C., C. Wang, and T. Zhao, 2017: Influence of two types of ENSO events ontropical cyclones in the western North Pacific during the subsequent year: asymmetric response. Clim. Dyn., doi:10.1007/s 00382-017-4033-y.

22. Chen, L., Z. Ma, T. Zhao, Z. Li, and Y. Li, 2017: Simulation of the regional climatic effect of irrigation over the Yellow River Basin.  Atmos. Oceanic Sci. Lett., doi:10.1080/16742834.2017.1313681.

23. 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.

24. 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.

25. Zhao, T., and A. Dai, 2017: 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.

26. Dai, A., and T. Zhao, 2017: 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.

27. Ying, K., X. Zheng, T . Zhao*, X. W. Quan, C. S. Frederiksen, 2016: Identifying the predictable and unpredictable patterns of spring-to-autumn precipitation over eastern China. Climate Dynamics, doi:10.1007/s00382-016-3258-5.

28. Fu, S., J. Zhang, J. Sun, 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,2 9, 761-781, doi:10.1175/JCLI-D-15-0175.1.

29. Ying, K., T. Zhao*, X. Zheng, X.-W. Quan, C.S. Frederiksen, 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.

30. Zhao, T., and C. Li, 2015: Contributions of human activities and external natural forcings to climate changes over China in the 20th century based on the CMIP5 simulations. Science in China (D), (minor revision).

31. Li, C., T. Zhao, and K. Ying, 2015: Effects of anthropogenic aerosols on temperature changes in China during the 20th century based on CMIP5 models. Theor. Appl. Climatology, doi:10.1007/s00704-015-1527-6..

32. Zhao, T., A. Dai, 2015: The magnitude and causes of global drought changes in the 21st century under a low–moderate emissions scenario. J. Climate, doi:10.1175/JCLI-D-14-00363.1.

33. Liu, B., Y. Sun, Z. Wang, and T. Zhao, 2015: Analysis of the vegetation cover change and the relative role of its influencing factors in North China. Journal of Natural Resources, 30, 12-23. (in Chinese)

34. Ying, K., T. Zhao, X. Quan, X. Zheng, and C. S. Frederiksen, 2014: Interannual variability of autumn to spring seasonal precipitation in eastern China. Climate Dynamics, doi: 10.1007/s00382-014-2411-2.

35. Zhao, T., 2014: Correlations of atmospheric water vapor with the diurnal temperature range over China. Atmos. Oceanic Sci. Lett., 7, 369-375.

36. Li, C., T. Zhao, and Z. Ma, 2014: Impacts of anthropogenic activities on climate change in arid and semiarid areas based on CMIP5 models. Chin. Sci. Bull., doi: 10.1360/N972014-00039 (in Chinese).

37. Xia, J., Q. Yang, Z. Zheng, T. Zhao, Z. Yan, and Z. Ma, 2014: The role of land use change in dry/wet trends in China during the 20th century. Climate and Environmental Research, doi:  10.3878/j.issn.1006-9585.2014.14007. (in Chinese).

38. Yuan, W., D. Liu, W. Dong, S. Liu, G. Zhou, G. Yu, T. Zhao, J. Feng, Z. Ma, J. Chen, Y. Chen, S. Chen, S. Han, J. Huang, L. Li, H. Liu, S. Liu, M. Ma, Y. Wang, J. Xia, W. Xu, Q. Zhang, X. Zhao, and L. Zhao, 2014: Multiyear precipitation reduction strongly decreases carbon uptake over northern China. J. Geophys. Res. -Biogeosciences, 119, 881–896, doi: 10.1002/2014JG002608.

39. Xia, J., W. Yuan, S. Liang, J. Chen, S. Liu, L. Li, X. Li, L. Zhang, Y. Fu, T. Zhao, J. Feng, Z. Ma, M. Ma, S. Liu, G. Zhou, J. Asanuma, S. Chen, M. Du, G. Davaa, T. Kato, Q. Liu, S. Liu, S. Li, C. Shao, Y. Tang, X. Zhao, 2014: Satellite-Based Analysis of Evapotranspiration and Water Balance in the Grassland Ecosystems of Dryland East Asia. PLoS ONE, 9, e97295. doi:10.1371/journal.pone.0097295.

40. Zhang, L., H. Guo, G. Jia, B. Wylie, T. Gilmanov, D. Howard, L. Ji, J. Xiao, J. Li, W. Yuan, T. Zhao, S. Chen, G. Zhou, and T. Kato, 2014: Net ecosystem productivity of temperate grasslands in northern China: An upscaling study. Agricultural and Forest Meteorology, 184, 71–81.

41. Chen, Y., J. Xia, S. Liang, J. Feng, J. B. Fisher, X. Li, X. Li, S. Liu, Z. Ma, A. Miyata, Q. Mu, L. Sun, J. Tang, K. Wang, J. Wen, Y. Xue, G. Yu, T. Zha, L. Zhang, Q. Zhang, T. Zhao, L. Zhao, W. Yuan, 2014: Comparison of satellite-based evapotranspiration models over terrestrial ecosystems in China. Remote Sens. Environ., 140, 279-293.

42. Zhao T., and A. Yatagai, 2013: Evaluation of TRMM 3B42 products using a new gauge-based analysis of daily precipitation over China. Int. J. Climatol., doi: 10.1002/joc.3872.

43. Zhao, T., L. Chen, and Z. Ma, 2014: Simulation of historical and projected climate change in arid and semi-arid areas by CMIP5 models. Chin. Sci. Bull., doi: 10.1007/s11434-013-0003-x.

44. Ying, K., T. Zhao, and X. Zheng, 2014: Slow and intraseasonal modes of the boreal winter atmospheric circulation simulated by CMIP5 models. Atmos. Oceanic Sci. Lett., 7, 34-41, doi: 10.3878/j.issn.1674-2834.13.0058.

45. Hou, J., G. Jia, T. Zhao, H. Wang, and B. Tang, 2014: Satellite-based estimation of daily average netradiation under clear-sky conditions. Adv. Atmos. Sci., 31, 705–720, doi: 10.1007/s00376-013-3047-6.

46. Zhao, T., K. Tu, and Z. Yan, 2014: Advances of Atmospheric Water Vapor Change and Its Feedback Effect. Advances in Climate Change Research, 9, 79-88. (in Chinese)

47. Wang, Z., T. Zhao, M. Hou, and X. Yan, 2013.Vegetation Index Trends for the Northern Part of China at the Beginning of the 21st Century. Climatic and Environmental Research, 18, 156-164,doi:10.3878/j.issn.1006-9585. 2012.11026. (in Chinese)

48. Huang, G., W. Wang, X. Zhang, S. Liang, S. Liu, T. Zhao. J. Feng, and Z. Ma, 2013: Preliminary validation of GLASS-DSSR products using surface measurements collected in arid and semi-arid regions of China. Int. J. of Digit. Earth, doi:10.1080/17538947.2013.825655.

49. Wang, X., M. Ma, X. Li, Y. Song, J. Tan, G. Huang, Z. Zhang, T. Zhao, J. Feng, Z. Ma, W. Wei, and Y. Bai, 2013: Validation of MODIS GPP product at ten flux sites in northern China. Int. J. Remote Sens., 34, 587-599.

50. Li, X., S. Liang, G. Yu, W. Yuan, X. Cheng, J. Xia, T. Zhao, J. Feng, Z. Ma, et al., 2013: Estimation of gross primary production over the terrestrial ecosystems in China. Ecological Modelling, 261–262, 80-92, doi:10.1016/j.ecolmodel.2013.03.024.

51. Zhao, T., A. Dai, and J. Wang, 2012: Trends in tropospheric humidity from 1970 to 2008 over China from a homogenized radiosonde dataset. J. Climate, 25, 4549–4567.

52. Li, X., S. Liang, W. Yuan, G. Yu, X. Cheng, Y. Chen, T. Zhao, et al., 2012: Estimation of evapotranspiration over the terrestrial ecosystems in China. Ecohydrology, doi: 10.1002/eco.1341.

53. Zhao, T., and D. Zhao 2011: Can artificial climate trends in global reanalysis be reduced by dynamical downscaling: a case study over China. Atmos. Oceanic Sci. Lett., 4, 1?6.

54. Zhao, T., and C. Qian, 2010: Comparison between Traditional Anomaly and Variability of Temperature in China in Modulated Annual Cycle Reference Frame. Climatic and Environmental Research, 15, 34-44. (in Chinese)

55. Zhao, T., C. Fu, Z. Ke, and W. Guo, 2010: Global Atmosphere Reanalysis Datasets：Current Status and Recent Advances. Advances in Earth Science, 25, 241-254. (in Chinese)

56. Wang, J., T. Zhao, E. Wang, et al., 2010: Measurement and simulation of diurnal variations in water use efficiency and radiation use efficiency in an irrigated wheat-maize field in the North China Plain. New Zeal. J. Crop Hort., 38, 119-135.

57. Zhang, A., G. Jia, H. Wang, and T. Zhao, 2011: Validation of land surface temperature derived from 37-GHz AMSR-E over northern China. Atmos. Oceanic Sci. Lett., 4, 257-263.

58. Zhang, A., G. Jia, H. Wang, T. Zhao, J. Feng, and Z. Ma, 2011: Evaluation of AMSR-E derived soil moisture over northern China. Atmos. Oceanic Sci. Lett., 4, 223-228.

59. Wang, H., G. Jia, C. Fu, J. Feng, T. Zhao, and Z. Ma, 2010: Deriving maximal light use efficiency from coordinated flux measurements and satellite data for regional gross primary production modeling. Remote Sens., doi:10.1016/j.rse.2010.05.001.

60. Wang, H., G. Jia, J. Feng, T. Zhao, and Z. Ma, 2010: Modeling gross primary production by integrating satellite data and coordinated flux measurements in arid and semi-arid China. Atmos. Oceanic Sci. Lett., 3, 7?13.

61. Wang, H., G. Jia, J. Feng, T. Zhao, and Z. Ma, 2010: Spatial Distribution and Seasonality of Gross Primary Production in Northern China. Chinese Journal of Atmospheric Sciences, 34, 882-890,doi:10.3878/j.issn.1006-9895.2010.05.04. (in Chinese)

62. Zhao, T., and C. Fu, 2009: Intercomparison of the summertime subtropical high from the ERA-40 and NCEP/NCAR over east Eurasia and the western North Pacific. Adv. Atmos. Sci., 26, 119-131.

63. Zhao, T., and C. Fu, 2009: Applicability Evaluation for Several Reanalysis Datasets Using the Upper-Air Observations over China. Chinese Journal of Atmospheric Sciences, 33, 634-648,doi:10.3878/j.issn.1006-9895.2009.03.19. (in Chinese)

64. Zhao, T., and C. Fu, 2009: Applicability Evaluation of Surface Air Temperature from Several Reanalysis Datasets in China. Plateau Meteorology, 28, 594-606. (in Chinese)

65. Zhao, T., L. Hua, 2009: Applicability Evaluation of Surface Pressure for Several Reanalysis Datasets over China. Journal of Applied Meterological Science, 20, 70-79. (in Chinese)

66. Ke, Z., W. Dong, P. Zhang, J. Wang, and T. Zhao, 2009: An analysis of the difference between the multiple linear regression approach and the multi-model ensemble mean. Adv. Atmos. Sci., 26, 1157-1168.

67. Jiang,Y., S. Wang, S. Yang, W. Dong, C. Fu, and T. Zhao, 2009: Future trends of climatic belts and seasons in China. Int. J. Climatol., 28, 1483–1491. doi: 10.1002/joc.1658.

68. Zhao, T., W. Guo, and C. FU, 2008: Calibrating and evaluating reanalysis surface temperature error by topographic correction. J. Climate, 21, 1442-1448.

69. Zhao, T., and C. Fu, 2006: Comparison of products from ERA-40, NCEP-2, and CRU with station data for summer precipitation over China. Adv. Atmos. Sci., 23, 593–604.

70. Zhao, T., and C. FU, 2006: Preliminary Comparison and Analysis between ERA-40, NCEP-2 Reanalysis and Observations over China. Climatic and Environmental Research, 11, 14–32. (in Chinese)

71. Zhao, T., Ailikun, and J. Feng, 2004: An Intercomparison between NCEP Reanalysisand Observed Data over China. Climatic and Environmental Research, 9, 278–294. (in Chinese)

72. Feng, J., T. Zhao, and J. Zhang, 2004: Intercomparison of Spatial Interpolation Based on Observed Precipitation Data. Climatic and Environmental Research, 9, 261–277. (in Chinese)