基本信息

赵天保  实验室副主任  博导 中国科学院大气物理研究所
电子邮件: zhaotb@tea.ac.cn
通信地址: 北京9804信箱
邮政编码: 100029

研究领域

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。目前已发表论文近100篇(其中SCI论文70多篇),总共被引用4000多次,高引用指数(H-index)为33,相关成果被IPCC第六次评估报告(AR6)以及Nature和Science子刊多次引用。担任国家自然科学基金项目评审专家以及《第四次国家气候变化评估报告》相关章节的作者,是30多种期刊(包括Nature子刊等)的评审专家。

招生信息

• 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

学习和工作经历

  • 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

发表论文

英文期刊 (*的为通讯作者)

  1. 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  (revision)  【SCI】

  2. 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】

  3. 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】

  4. 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.8064SCI
  5. 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

  6. 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

  7. 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

  8. 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 Research283, 106566, http://dx.doi.org/10.2139/ssrn.4145237. SCI
  9. 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
  10. 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
  11. 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
  12. 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
  13. 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
  14.  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
  15.  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
  16. 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, doi10.1007/s00376-021-0333-6. SCI
  17. 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
  18. 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
  19. 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
  20.  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
  21.  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
  22. 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
  23. 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
  24. 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
  25. 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
  26. 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
  27. 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
  28. 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
  29.  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
  30. 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
  31. 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
  32. 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
  33. 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
  34. 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
  35.  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
  36.  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
  37.  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.
  38. 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
  39.  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
  40.  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
  41. 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
  42.  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
  43. 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
  44.  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
  45. 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
  46. 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
  47. 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
  48. 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
  49. 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
  50.  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
  51. Zhao, T., 2014: Correlations of atmospheric water vapor with the diurnal temperature range over China. Atmos. Oceanic Sci. Lett., 7, 369-375.
  52.  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
  53.  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
  54.  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
  55.  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
  56.  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
  57.  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
  58.  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.
  59.  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
  60.  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
  61.  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
  62.  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
  63.  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
  64.  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
  65. 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), 16.
  66. 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
  67. 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.
  68. 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.
  69. 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
  70. 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, 713.
  71. 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
  72.  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
  73. 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.
  74.  Zhao, T., W. Guo, and C. Fu, 2008: Calibrating and evaluating reanalysis surface temperature error by topographic correction. J. Climate, 21, 1442-1448. SCI
  75. 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. 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.

  2. 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. 

  3. 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.

  4. 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.

  5. 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.

  6. 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.

  7. 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.

  8. 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.

  9. 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.

  10. 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.

  11. 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.

  12. 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.

  13. 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592972-2988.

  14. 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.

  15. 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.

  16. 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.

  17. 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.

  18. 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.

  19. 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. 球科学进展, 25(3), 242-254.

  20. 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.

  21. 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.

  22. 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.

  23. 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.

  24. 赵天保,符淙斌, 2006: 中国区域ERA-40NCEP-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.

  25. 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.

  26. 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.



科研项目


  1. 国家重点研发计划项目课题“基于数值天气预报高频更新的风电/光伏日内功率及供电保障能力预测技术(2022YFB2403002)”,资助经费:842万,起止时间:2022.11-2025.10,项目负责人

  2. 国家自然科学基金面上项目“双碳目标下中国区域未来干旱变化的约束预估及成因:从CMIP5CMIP642275185”,资助经费:62万元,起止时间:2023.1-2026.12,项目负责人

  3. 国家自然科学基金面上项目“自然变率和人类活动影响中亚极端降水长期变化的归因与预估研究(41975115)”,资助经费:63万元,起止时间:2020.1-2023.12,项目负责人

  4. 国家自然科学基金面上项目“水汽变化在东亚区域增暖中的气候效应及其归因研究(41675094)”,资助经费:82万元,起止时间:2017.1-2020.12,项目负责人

  5. 中国科学院“中央级科学事业单位改善科研条件专项资金”科研装备项目“半干旱区气候与环境通榆观测平台建设”,资助经费:265万,起止时间:2022.1-2023.12,项目负责人

  6. 国家重点研发计划课题“约束全球季风预估不确定性方法的研究”(2020YFA0608904)”,资助经费:50万元,起止时间:2020.12-2025.11,专题负责人

  7. 国家重点研发计划项目课题“中国区域干旱事件检测与归因 (2018YFC1507704),资助经费:65万元,起止时间:2018.12-2021.12,专题负责人

  8. 国家重点研发计划项目课题“工业革命以来年代际气候变化的全球格局及归因”(2016YFA0600402),资助经费:137万元,起止时间:2016.6-2021.5,专题负责人

  9. 公益性行业(气象)科研专项经费项目"全球大气再分析技术研究与数据集研制"课题“再分析产品的质量评估”,资助经费:143万元,起止时间:2015.1-2018.12,项目负责人

  10. 国家重大科学研究计划"全球典型干旱半干旱地区年代尺度气候变化机理及其影响研究"第三课题“人类活动对典型干旱半干旱地区年代尺度气候变化的影响(2012CB956203)",资助经费:635万元,起止时间:2012.1-2016.12,项目负责人

  11. 国家科技支撑计划项目课题“多源气象资料质量控制技术与融合分析技术(2012BAC22B04)",资助经费:48万元,起止时间:2012/01-2016/12,专题负责人

  12. 国家自然科学基金(青年基金)“几种再分析资料在东亚区域年际和年代际气候变化研究中的适用性评估(40805032)",总经费19万元,起止时间:2009.1-2011.12,项目负责人

  13. 中国科学院知识创新工程重要方向项目课题“干旱/半干旱区土地利用变化气候效应影响的未来情景预估(KZCX2-EW-202)", 课题经费55万元(项目总经费170万元),起止时间:2011.1-2013.12,课题负责人

  14. 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

  15. 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

  16. 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


指导学生

已指导学生

侯江涛  博士研究生  070602-大气物理学与大气环境  

刘良玉  博士研究生  070601-气象学  

现指导学生

古再丽努尔·亚森  硕士研究生  070601-气象学  

学生名单

  • 侯江涛,博士 ,2014年7月毕业,国家遥感中心工作
  • 王娟怀,硕士,与兰州大学联合培养,2014年7月毕业,广东气象局工作
  • 从靖,硕士,与兰州大学联合培养,2016年6月毕业,天津市气象局工作  
  • 张京朋,博士,与兰州大学联合培养,2019年6月毕业, 西北农林科技大学工作 
  • 陆之超,博士,与南京信息工程大学联合培养,2020年6月毕业
  • 刘新磊,硕士,2020年6月毕业
  • 古再丽努尔·亚森, 硕士,2021年毕业
  • 王雅芳,博士,与兰州大学联合培养,2023年毕业
  • 徐川,博士,与南京信息工程大学联合培养,2023年毕业
  • 陈清心,硕士,与南京信息工程大学联合培养,2023年毕业
  • 秦鹏飞,硕士,与聊城大学联合培养,2023年毕业
  • 张金阁,硕博连读,2026年毕业
  • 杨喆萱,硕士,2026年毕业
  • 金科, 直博生,2029年毕业
  • 刘瑞珏,硕士,2027年毕业
  • 廖雅雯,硕士,与东北农业大学联合培养,2025年毕业

专利与奖励

  • 2017年度中国科学院大气物理研究所“科技创新贡献奖”
  •  第十五届北京青年优秀科技论文入选者

期刊评审

  • Nture Climate Change
  • Nature Communications
  • Npj Climate and Atmospheric Science
  • Journal of Climate
  • Climate Dynamics
  • Monthly Weather Review
  • Journal of Geophysical Research
  • Water Resources Research
  • Journal of Hydrometeorology
  • Journal of Hydrology
  • Geophysical Research Letters
  •  Earth System Science Data (ESSD)
  • Eearth's Future
  • Environmental Research Letters
  • Frontiers in Earth Science
  • Journal of Applied Meteorology and Climatology
  • Hydrology and Earth System Sciences
  • International Journal of Climatology
  • Theoreticaland Applied Climatology
  • Climatic Change
  • Climate Research
  • Agricultural and Forest Meteorology
  • Advances in Atmosperic Sciences
  • Advances in Climate Change Research
  • Advances in Space Research
  • Agricultural Systems
  • Journal of Arid Environments
  • Journal of Atmospheric and Solar
  • Journal of Southern Hemisphere Earth System Science
  • Journal of Meteorological Research
  • PLOS Climate
  • Physics and Chemistry of the Earth
  • Atmospheric and Oceanic Science Letters
  • 中国科学
  • 科学通报
  • 地球物理学报
  • 大气科学
  • 气象学报
  • 气候与环境研究
  • 高原气象
  • 气象
  • 地球科学进展
  • 气候变化研究进展
  • 应用气象学报