主要从事干旱气候变化的归因和预估、水汽变化及其气候反馈效应、陆-气相互作用以及气候资料均一化研究。先后承担了国家重大科学研究计划项目课题（973课题）、国家重点研发计划项目课题、国家自然科学基金项目、公益性行业（气象）科研专项课题、科学院知识创新工程重要方向项目，以及中科院科研修购专项“半干旱区气候与环境通榆观测平台建设”项目等。目前已发表论文110余篇（其中SCI论文80多篇），总共被引用5500多次，高引用指数（H-index）为37。相关成果入选第十五届（2019）北京青年优秀科技论文，并被IPCC第六次评估报告（AR6）以及Nature和Science子刊论文多次引用。担任世界气候研究计划（WCRP）耦合模拟工作组（WGCM）成员、中国气象局高价值气象数据产品专家库成员以及国家自然科学基金项目评审专家；是第四次和第五次《国家气候变化评估报告》相关章节的作者；担任Protection and Control of Modern Power Systems (PCMP)和Advances in Atmospheric Sciences（AAS）客座主编，是Nature和Science子刊等30多种高水平期刊的评审专家。

• 干旱气候变化归因、可预报性以及预估
• 水汽变化及其区域反馈效应
• 气候资料均一化与适用性评估
• 陆-气相关作用观测及数值模拟

• 2016年1月-至今，中国科学院大气物理研究所，研究员
• 2010年1月-2015年12月，中国科学院大气物理研究所，副研究员
• 2006年10月-2009年12月，中国科学院大气物理研究所，助理研究员
• 2017年7月-8月，澳大利亚Monash大学，访问学者
• 2015年9月-10月，美国纽约州立大学Albany分校，访问学者
• 2008年12月-2009年6月，美国国家大气研究中心（NCAR），访问学者
• 2009年12月-2010年4月，日本综合地球环境学研究所(RIHN)，访问学者

英文期刊 (标*的为通讯作者）

1. Li, C., T. Zhao, and Z. Han. 2025: Assessing the impact of land-use types on historical dryness/wetness trends over global land areas. International Journal of Climatology, e70169. https://doi.org/10.1002/joc.70169. 【SCI】
2. Zhang, J., Z. Dang, X. Yang, L. Du, and T. Zhao*. 2025: Evaluation and projection of Northwest China's extreme precipitation using statistically downscaled CMIP6 models. International Journal of Climatology, e70237. https://doi.org/10.1002/joc.70237. 【SCI】
3. Zhang, J., C. Li, T. Zhao*, Z. Gong, and L. Du. 2025: Resolution effects on extreme precipitation simulation over China: a CMIP6 HighResMIP perspective. International Journal of Climatology, e70100. https://doi.org/10.1002/joc.70100. 【SCI】
4. Liao, Y., T. Zhao*, J. Zhang, Y. Sun, 2025: Decadal shift in Northeast China's precipitation around 2000. Atmospheric and Oceanic Science Letters, 100650, https://doi.org/10.1016/j.aosl.2025.10065.  【SCI】
5. Zhang, J., T. Zhao, J. Zhang, Y. Ren, Z. Li, 2024: Changes in compound temperature and precipitation extremes from combined effects of multiple circulation factors over China. Journal of Hydrology, https://doi.org/10.1016/j.jhydrol.2024.131884. 【SCI】
6. Zhang, J., C. Li, and T. Zhao*, 2024: Qualifying uncertainty of precipitation projections over China: mitigating uncertainty with emergent constraints. Environ. Res. Commun., 6, 071002, doi: 10.1088/2515-7620/ad5ad9. 【SCI】
7. Zhang, J., C. Li, X. Zhang, and T. Zhao*, 2024: Improving simulations of extreme precipitation events in China by the CMIP6 global climate models through statistical downscaling. Atmosphere Research, 303, 107344, https://doi.org/10.1016/j.atmosres.2024.107344. 【SCI】
8. Zhou, S., F. Liu, A. Dai, and T. Zhao, 2024: Dryland hydroclimatic response to large tropical volcanic eruptions during the last millennium. npj Clim Atmos Sci, 7, 85. https://doi.org/10.1038/s41612-024-00636-y. 【SCI】
9. Xu, C., T. Zhao*, J. Zhang, L. Hua, and L. Tao, 2024: Impacts of natural and anthropogenic forcings on historical and future changes in global-land surface air temperature in CMIP6–DAMIP simulations. Climatic Change, doi: 10.1007/s10584-024-03686-6.  【SCI】
10. Zhao, T., A. Dai, J.-P. Huang, and L. Zhang, 2024: Preface to the special issue on causes, impacts, and predictability of droughts for the past, present, and future. Adv. Atmos. Sci., 41(2), 191−192, https://doi.org/10.1007/s00376-023-3017-6. 【SCI】
11. Wang, Y., T. Zhao*, L. Hua, X. Guan, C. Xu, and X. Chen, 2023: Influence of anthropogenic and natural forcings on future changes in precipitation projected by the CMIP6-DAMIP models. Int. J. Climatol., doi: 10.1002/ioc.8064. 【SCI】
12. Tian, J., H. Wang, Z. Zhang, Y. Fu, T. Zhao, and H. Tao, 2023: Unraveling the connection between vegetation greening and terrestrial water storage decline in the arid and semi-arid regions of northwest China. Journal of Hydrology: Regional Studies, 49, 101509, https://doi.org/10.1016/j.ejrh.2023.101509. 【SCI】
13. Chen, Q., T. Zhao*, L. Hua, J. Yu, Y. Wang, and C. Xu, 2023: Future drought changes in China projected by the CMIP6 models: Contributions from Key Factors. J. Meteor. Res., doi: 10.1007/s13351-023-2169-8. 【SCI】
14. Zha, J., C. Shen, J. Wu, D. Zhao, W. Fan, H. Jiang, and T. Zhao, 2023: Evaluation and Projection of Changes in Daily Maximum Wind Speed over China Based on CMIP6. Journal of Climate, 36(5), 1503-1520. doi: 10.1175/JCLI-D-22-0193.1. 【SCI】
15. Zhou, K., L. Ran, L. Zhou, T. Zhao, and L. Chen, 2023: The study of fengyun4a temperature profile data assimilation in a southwest vortex heavy rainfall case. Atmospheric Research, 283, 106566, http://dx.doi.org/10.2139/ssrn.4145237. 【SCI】
16. Ying, K., D. Jiang, X. Zheng, Carsten S. Frederiksen, J. Peng, T. Zhao, and L. Zhong, 2022: Seasonal predictable source of the East Asian summer monsoon rainfall in addition to the ENSO–AO. Clim. Dyn., doi: 10.1007/s00382-022-06461-4.  【SCI】
17. Hua, L., T. Zhao*, and L. Zhong, 2022: Future changes in drought over Central Asia under CMIP6 forcing scenarios. Journal of Hydrology: Regional Studies, http://doi.org/10.1016/j.ejrh.2022.101191. 【SCI】
18. Tian, J., Z. Zhang, T. Zhao, H. Tao, and B. Zhu 2022: Warmer and wetter climate induced by the continual increase in atmospheric temperature and precipitable water vapor over the arid and semi–arid regions of Northwest China. Journal of Hydrology: Regional Studies, 42, 101151, doi:10.1016/j.ejrh.2022.101151.【SCI】
19. Lu, Z., T. Zhao*, W. Zhou, and H. Zhao, 2022: Interdecadal variation of the Antarctic Circumpolar Wave based on the 20CRV3 dataset. Atmosphere, 13, 736. https://doi.org/10.3390/atmos1305073 . 【SCI】
20. Zhao, T., and A. Dai, 2022: CMIP6 model-projected hydroclimatic and drought changes and their causes in the 21st century. J. Climate, doi: 10.1175/JCLI-D-21-0442.1. 【SCI】
21.  Fu., S., H. Tang, J. Sun, T. Zhao, and W. Li, 2022: Historical rankings and vortices’ activities of the extreme Mei‐yu seasons: Contrast 2020 to previous Mei‐yu seasons. Geophys. Res. Lett., doi:10.1029/2021GL096590. 【SCI】
22.  Chai, R., J. Mao, H. Chen, Y. Wang, X. Shi, M. Jin, T. Zhao, F. Hoffman, D. Ricciuto, and S. Wullschleger, 2022: Human-caused long-term changes in global aridity. npj Climate and Atmospheric Science, doi: 10.1038/s41612-021-00223-5. 【SCI】
23. Zhang, J., T. Zhao*, and coauthors, 2021: Evaluation of surface relative humidity in China from the CRA-40 and current reanalyses. Adv. Atmos. Sci., 38, 1958–1976, doi：10.1007/s00376-021-0333-6. 【SCI】
24. 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(3), 402–415, doi: 0.1007/s13351-021-0175-2. 【SCI】
25. Li, C., T. Zhao*, C. Shi, and Z.-Q. Liu, 2021: Assessment of precipitation from the CRA40 and new generation reanalysis datasets in the global domain. Int. J. Climatol., 41, 5243–5263, doi: 10.1002/joc.7127. 【SCI】
26. Zhong, L., L. Hua, Y. Yao, J. Feng, 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., 41, 2962-2982 doi: 10.1002/joc.6999. 【SCI】
27.  Liu, X., C. Li, and T. Zhao, 2020: Future changes of global potential evapotranspiration simulated from CMIP5 to CMIP6 models. Atmos. Oceanic Sci. Lett., doi: 10.1080/16742834.2020.1824983. 【SCI】
28.  Lu, C., T. Zhao*, and W. Zhou, 2020: Evaluation of the Antarctic Circumpolar Wave simulated by CMIP5 and CMIP6 models. Atmosphere, doi: 10.3390/ATMOS11090931. 【SCI】
29. 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. 【SCI】
30. 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. 【SCI】
31. 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. J. Meteor. Res., doi: 10.1007/s13351-020-8196-9. 【SCI】
32. 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. 【SCI】
33. Li, C., and T. Zhao*, 2019: Seasonal responses of precipitation in China to El Niño and positive Indian Ocean dipole modes. Atmosphere, 10, 372, doi: 10.3390/atmos10070372. 【SCI】
34. Zhang, J., and T. Zhao*, 2019: Historical and future changes of atmospheric precipitable water over China simulated by CMIP5 models. Clim. Dyn., 52(11), 6969-6988, doi: http://orcid.org/0000-0002-8295-6537. 【SCI】
35. 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. 【SCI】
36.  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. 【SCI】
37. 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. 【SCI】
38. 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. 【SCI】
39. Zuo, Z., S. Yang, K. Xu, R. Zhang, Q. He, T. Zhao, and J. Cong, 2017: Land surface air temperature variations over Eurasia and possible causes in the past century. Int. J. Climatol., doi: 10.1002/joc.5306. 【SCI】
40. 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.  【SCI】
41. 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 in precipitation. Hydrological Processes, doi: 10.1002/hyp.11388. 【SCI】
42.  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, doi: 10.1007/s10584-017-2028-7.【SCI】
43.  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. 【SCI】
44.  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.
45. 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. 【SCI】
46.  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. 【SCI】
47.  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. 【SCI】
48. 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. 【SCI】
49.  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. 【SCI】
50. 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. 【SCI】
51.  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. 【SCI】
52. 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. 【SCI】
53. 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. 【SCI】
54. Zhao, T, J. Wang, and A. Dai, 2015: Evaluation of atmospheric precipitable water from reanalysis products using homogenized radiosonde observations over China. J. Geophys. Res.- Atmospheres,120, 1070–10727, doi: 10.1002/2015JD023906. 【SCI】
55. Zhao, T., A. Dai, 2015: The magnitude and causes of global drought changes in the 21st century under a lo–moderate emissions scenario. J. Climate, 28, 4490-4512, doi:10.1175/JCLI-D-14-00363.1. 【SCI】
56. Ying, K., T. Zhao, X. Quan, X. Zheng, and S. F. Carsten, 2014: Variability of autumn to spring seasonal precipitation in eastern China. Climate Dynamics, doi:10.1007/s00382-014-2411-2. 【SCI】
57.  Mao, R., D.-Y. Gong, T. Zhao, W. Wang, and J. Yang, 2015: Trends in the frequency of high relative humidity over China: 1979 to 2012. J. Climate, doi:10.1175/JCLI-D-14-00840.1.【SCI】
58. Zhao, T., 2014: Correlations of atmospheric water vapor with the diurnal temperature range over China. Atmos. Oceanic Sci. Lett., 7, 369-375.
59.  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. 【SCI】
60.  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. Dava, 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. 【SCI】
61.  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. 【SCI】
62.  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. 【SCI】
63.  Zhao, T., and A. Yatagai, 2014: Evaluation of TRMM 3B42 products using a new gauge-based analysis of daily precipitation over China. Int. J. Climatol., doi: 10.1002/joc.3872. 【SCI】
64.  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. 【SCI】
65.  Ying, K., T. Zhao, and X. Zheng, 2013: Slow and intraseasonal modes of the boreal winter atmospheric circulation simulated by CMIP5 models. Atmos. Oceanic Sci. Lett., doi:10.3878/j.issn.1674-2834.13.0058.
66.  Hou, J., G. Jia, T. Zhao, H. Wang, and B. Tang, 2014: Satellite based estimation of daily average net radiation under clear-sky conditions. Adv. Atmos. Sci., 31, 705–720, doi: 10.1007/s00376-013-3047-6. 【SCI】
67.  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. 【SCI】
68.  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.【SCI】
69.  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, doi:10.1016/j.ecolmodel.2013.03.024. 【SCI】
70.  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.【SCI】
71.  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.【SCI】
72. 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), 1−6.
73. 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. 【SCI】
74. 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.
75. 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.
76. 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. 【SCI】
77. 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.
78. 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. 【SCI】
79.  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. 【SCI】
80. 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.
81.  Zhao, T., W. Guo, and C. Fu, 2008: Calibrating and evaluating reanalysis surface temperature error by topographic correction. J. Climate, 21, 1442-1448. 【SCI】
82. 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. 【SCI】

中文期刊

1. 王郦，张蕾，高秋，赵天保*, 等，2025: 台风“摩羯”(202411)与“威马逊”(201409)对滇东南影响的对比分析. 气候与环境研究, doi:10.3878/i.issn1006-9585.2025.24170.
2. 赵天保*, 刘洪韬, 姚利, 2024: 大气协同观测网络与大数据平台建设. 大气科学 ，doi:10.3878/j.issn.1006-9895.2303.22196.
3. 徐川，赵天保*，张京朋，陶丽，2024: CMIP6模拟的人类活动和自然强迫对全球地表气温多尺度变化的影响. 地球物理学报，67(2), 477-4991, doi: 10.6038/cjg2023R0116.
4. 李学武, 张京朋, 赵天保, 赵廷宁, 2024: 我国北方地区干湿变化特征及其未来情景预估. 气候与环境研究.  29(1), 59−74.　
5. 古再丽努尔.亚森, 张京朋, 赵天保*, 2022: CMIP6多模式对21世纪中亚极端降水未来变化预估.气候与环境研究，doi:10.3878/j.issn.1006-9585.2022.22021.
6. 秦鹏飞，赵天保，曹建荣，李珍*. 2023：基于均一化数据的1960-2021年中国蒸发皿蒸发量时空变化特征，气象学报，doi: 10.11676/qxxb2023.20220114.
7. 赵倩倩, 张京朋, 赵天保*, 李建华, 2021: 2000年以来中国区域植被变化及其对气候变化的响应. 高原气象, 40(2),292-301.
8. 赵天保*, 从靖, 2017: 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, doi:10.3878/j.issn.1006-989 5.1706.16167.
9. 赵天保, 李春香, 左志燕, 2016:基于CMIP5 多模式评估人为和自然因素外强迫在中国区域气候变化中的相对贡献. 中国科学: 地球科学, 46, 237–252, doi: 10.1360/N072015-00075.
10. 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, 22, 643-657,doi:10.3878/j.issn.1006-9585.2016.16036.
11. 肖冰霜, 马玉霞, 赵天保, 颜书豪, 2016: 基于均一化资料的中国大陆极端温度的长期趋势. 气象，42, 339-346.
12. 张驰, 范广洲, 马柱国, 程炳岩, 赵天保, 冯 锦明, 王鹤松, 2015: 半干旱区典型下垫面反照率特征的初步分析. 高原气象, 34, 1029-1040.
13. 刘斌，孙艳玲，王中良，赵天保，2015: 华北地区植被覆盖变化及其影响因子的相对作用分析. 自然资源学报, doi:10.11849/zrzyxb.2014.
14. 王娟怀, 赵天保, 马玉霞, 2015:西安市空气污染特征及其与气象因子的关系. 环境化学, 34, 386-387.
15. 李春香, 赵天保*, 马柱国, 2014: 基于CMIP5多模式结果评估人类活动对全球典型干旱半干旱区气候变化的影响. 科学通报，59，2972-2988.
16. 赵天保*, 陈亮, 马柱国, 2014: CMIP5多模式对全球典型干旱半干旱区气候变化的模拟与预估. 科学通报，59, 412-429, doi:10.1007/s11434-013-0003-x.
17. 夏江江，杨庆，郑子彦, 赵天保，严中伟，马柱国, 2014: 土地利用变化对20世纪中国地区气候干湿变化的影响.气候与环境研究, 20, 154-166.
18. 赵天保, 涂锴, 严中伟, 2013: 大气水汽变化及其反馈效应研究进展.气候变化研究进展, 9, 79-88.
19. 王筝, 赵天保, 延晓冬, 侯美亭, 2013: 21世纪初中国北方地区植被变化特征分析.气候与环境研究, 18(2), 156-164.
20. 赵天保, 钱诚, 2010: 传统距平与变年循环参照系下的中国气温变率比较.气候与环境研究, 14(6), 1-11.
21. 赵天保, 符淙斌, 柯宗建, 郭维栋, 2010: 全球大气再分析资料的研究现状与进展. 地球科学进展, 25(3), 242-254.
22. 王鹤松, 贾根锁, 冯锦明, 赵天保, 马柱国, 2010: 我国北方地区植被总初级生产力的空间分布与季节变化. 大气科学, 34(5), 882-890.
23. 赵天保, 符淙斌, 2009: 应用探空观测资料评估几类再分析资料在中国区域的适用性. 大气科学, 33(3), 634-648.
24. 赵天保, 符淙斌, 2009: 几种再分析地表气温资料在中国区域的适用性评估. 高原气象, 28(3), 594-605.
25. 赵天保, 华丽娟, 2009: 几种再分析地表气压资料在中国区域的适用性评估. 应用气象学报,  20(1), 70-79.
26. 赵天保,符淙斌, 2006: 中国区域ERA-40、NCEP-2再分析资料与观测资料的初步比较与分析. 气候与环境研究, 11(1), 14-32.
27. 赵天保,艾丽坤, 冯锦明，2004: NCEP再分析料和中国站点观测资料的分析比较. 气候与环境研究，9(2), 278–294.
28. 冯锦明, 赵天保, 张英娟, 2004: 基于台站观测资料对几种空间内插方法的比较研究. 气候与环境研究，9(2)，261–277.

• 国家重点研发计划项目课题“电力气象全景实况场构建方法与再分析数据智能同化技术”（2025ZD0805502），获取经费：153万元，起止时间：2025.8-2029.7，课题骨干
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• 中国科学院大气物理研究所基础研究中心试点项目“大气协同观测网络与大数据平台建设”，资助经费：300万，起止时间：2024.1-2027.12，项目负责人
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• 公益性行业科研专项（气象）“多时间尺度干旱监测与预警、评估技术研究"(GYHY201006023) 第二课题"干旱趋势预测及其影响的模拟研究"，课题经费48万元，起止时间：2010.10-2013.12，课题负责人
• 973项目课题“空间遥感区域气候变化敏感因子的机理与方法”，获经费资助30万元，起止时间：2009.1-2013.12，骨干人员
• 中国科学院战略性先导科技专项“应对气候变化的碳收支认证及相关问题", 参与子课题“过去百年气候增暖及成因", 起止时间：2010.1-2015.12, 资助经费50万元，骨干人员

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