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个人信息Personal Information
教授 博士生导师 硕士生导师
教师英文名称：Jiangfeng Wei
教师拼音名称：Wei Jiangfeng
所在单位：大气科学学院
办公地点：气象楼619室
性别：男
联系方式：jwei@nuist.edu.cn
职称：教授
博士生导师
硕士生导师
- 基本信息
- 个人简介
- 近期主要论著
- 近期科研项目
-
姓 名: 魏江峰
国 籍: 中国
性 别: 男
导 师: Robert E. Dickinson院士（博士导师），王会军院士（硕士导师）
职 称: 教授
最高学历: 博士
所属专业: 气象学
所属系部: 气候学系
毕业院校: 美国佐治亚理工学院 （Georgia Institute of Technology）
研究方向: 陆气相互作用，水分循环，气溶胶-气候相互作用，气候变化
办公地点: 气象楼619室
邮 箱: jwei@nuist.edu.cn
主讲课程: 气象统计分析（南信大），Introduction to Earth System Modeling（美国德州大学奥斯汀分校）
主要研究领域: 运用观测、模拟、水汽追踪等方法研究地表和大气的相互作用及人类活动的影响。
教育背景:
2002-2007 美国佐治亚理工学院 (Georgia Institute of Technology)，博士
1999-2002 中国科学院大气物理研究所，硕士
1995-1999 南京气象学院，本科
工作经历:
2017.06 至今 南京信息工程大学大气科学学院 教授
2012.09-2017.05 美国德州大学奥斯汀分校地球科学学院
（Jackson School of Geoscience, University of Texas at Austin）, Research Engineering/Scientist Associate IV2010.01-2012.08 美国Center for Ocean-Land-Atmosphere Studies (COLA)，Research Scientist
2007.06-2009.12 美国Center for Ocean-Land-Atmosphere Studies (COLA)， 博士后
学术兼职:
Atmospheric and Oceanic Science Letters 杂志编辑 (2014至今)
美国宇航局(NASA)和国家自然基金(NSF)课题通信评委和会评专家
超过20个国际杂志和书刊的审稿人(Nature Geoscience, Nature Communications, Journal of Climate, Geophysical Research Letters等)
荣誉获奖:
JGR：Atmospheres 优秀审稿人（2024）
国家重大人才计划A类青年学者 (2018)
江苏特聘教授（2018）
团队成员:
博士后：昝蓓蕾
博士生：宋媛媛 王梓萌
硕士生：程浩秋 单昱峰 宋仁杰 毕舒祺 杨小晨 谢雨霏
已毕业/离校成员：
博士后: 杨翼泽
硕士: 刘艺朦 赵景文 刘晓聪 逯博延 毛倩倩 王慧敏 苏韦韬 濮烨
Journal papers:
2024
77. Zan, B. L., Ge, J.*, Mu, M. Y., Sun, Q. H., Luo, X. and Wei, J.* 2024: Spatiotemporal inequality in land water availability amplified by global tree restoration. Nature Water. https://doi.org/10.1038/s44221-024-00296-5（查看全文：https://rdcu.be/dRyr6）
76. Wei, J.*, Y. Pu, X. Liu, Y. Shan, B. Zhou, 2024: Analyzing uncertainty and constraining projections for future vegetation in mid-to-high-latitude Asia, Atmospheric and Oceanic Science Letters, 100522, https://doi.org/10.1016/j.aosl.2024.100522.
75. Zan, B., Wang, H., Wei, J.*, and Song Y. 2024: Temporal and spatial soil moisture–precipitation coupling relationships over the Tibetan Plateau. Journal of Geophysical Research: Atmospheres. 129, e2013JD040621, https://doi.org/10.1029/2023JD040621
74. Song, Y., Wei, J.*, Cheng, H., and Zan, B. (2024) Irrigation in the North China plain regulates the diurnal cycle of precipitation and regional water cycle. Climate Dynamics. https://doi.org/10.1007/s00382-024-07208-z
73. Shan, Y., Wei, J.*, & Zan, B. (2024). Improving estimates of land–atmosphere coupling through a novel framework of land aridity classification. Geophysical Research Letters, 51, e2023GL106598. https://doi.org/10.1029/2023GL106598
72. Tao, C., Xie, S., Ma, H.-Y.,... Wei J. et al. (2024) Diurnal cycle of precipitation over the tropics and central United States: intercomparison of general circulation models. Quarterly Journal of the Royal Meteorological Society, 150(759), 911–936. https://doi.org/10.1002/qj.4629
2023
71. 程浩秋, 魏江峰*, 宋媛媛, 单昱峰,（2023）2022年夏季长江流域干旱的水循环模拟和分析. 大气科学学报, 46(6):813-824. DOI:10.13878/j.cnki.dqkxxb.20230323001
70. Wei, J.*, Mao, Q., Shan, Y. Jin, Q., Yang, Y., and Chen, H. (2023) Spring biomass burning in Indochina enhances summer Yangtze River Valley rainfall through land–atmosphere interactions. npj Climate and Atmospheric Science, 6, 183. https://doi.org/10.1038/s41612-023-00514-z
69. Wei, J.*, Lu, B., Song, Y., Chen, H., & Weng, Z. (2023). Anthropogenic aerosols weaken land–atmosphere coupling over North China. Geophysical Research Letters, 50, e2023GL105685. https://doi. org/10.1029/2023GL105685
68. Gao, J., Yang, Y., Wang, H., Wang, P., Li, B., Li, J., Wei, J. et al. (2023). Climate responses in China to domestic and foreign aerosol changes due to clean air actions during 2013–2019. Npj Climate and Atmospheric Science, 6(1), 1–10. https://doi.org/10.1038/s41612-023-00488-y
67. 魏江峰*，宋媛媛，逯博延. 2023: 华北降水日循环与陆气耦合和气溶胶联系的研究进展. 地球科学进展，38(9): 881-889. https://doi.org/10.11867/j.issn.1001-8166.2023.055
66. Zou X., Wang G., Hagan DFT, Li S., Wei J., Lu J., Qiao Y., Zhu C., Ullah W., Yeboah E. 2023: Precipitation Sensitivity to Soil Moisture Changes in Multiple Global Climate Models. Atmosphere. 14(10):1531. https://doi.org/10.3390/atmos14101531
65. Tian, P., Jian, B., Li, J., Cai, X.*, Wei, J.*, Zhang, G., 2023: Land-Use-Change-Induced Cooling and Precipitation Reduction in China: Insights from CMIP6 Models. Sustainability, 15, 12191. https://doi.org/10.3390/su151612191
64. 张博美, 高红凯, 魏江峰, 2023: 全球空中水资源管理潜力的关键区识别与源汇分析, 科学通报， 68(20), 2678-2689.
63. 刘艺朦, 魏江峰*, 赵景文, 2023: WRF4.0 模式陆气耦合对不同物理参数化方案的敏感性初探. 大气科学学报, 46(3), 431-440.
62. Zheng, H., Fei, W., Yang, Z.-L., Wei, J., Zhao, L., Li, L., and Wang, S. 2023: An ensemble of 48 physically perturbed model estimates of the 1∕8° terrestrial water budget over the conterminous United States, 1980–2015, Earth Syst. Sci. Data, 15, 2755–2780, https://doi.org/10.5194/essd-15-2755-2023.
61. Wei, J.*, Liu, X., Zhou, B. 2023: Sensitivity of Vegetation to Climate in Mid-to-High Latitudes of Asia and Future Vegetation Projections. Remote Sensing, 15, 2648. https://doi.org/10.3390/rs15102648
60. Hao, X., Wang, H., Zhou, B., Li, J., Wei, J., & Han, T., 2023: Ocean Surface Warming Pattern Inhibits El Niño–Induced Atmospheric Teleconnections, Journal of Climate, 36(6), 1521-1539.
59. Wei, Y., Yu, M., Wei, J., Zhou, B., 2023: Impacts of Extreme Climates on Vegetation at Middle-to-High Latitudes in Asia. Remote Sensing. 15(5):1251. https://doi.org/10.3390/rs15051251
58. Ullah, W., Zhu, C., Wang, G., Tawia Hagan, D. F., Lou, D., Wei, J. et al. 2023: Soil moisture-constrained East Asian Monsoon meridional patterns over China from observations. npj Climate and Atmospheric Science, 6, 4. https://doi.org/10.1038/s41612-023-00331-4
57. Wei, J.*, Su, W., Song, Y., Sun, S., Zhou, B., & Chen, H. 2023: Intraseasonal-to-seasonal evolution of soil moisture-based droughts and floods in observation-based datasets and Coupled Model Intercomparison Project Phase 6 models. International Journal of Climatology, 43(5), 2096–2109. https:// doi.org/10.1002/joc.7965
2022
56. Liu, C., Yang, Y., Wang, H., Ren, L., Wei, J., Wang, P., and Liao, H. 2022: Influence of Spatial Dipole Pattern in Asian Aerosol Changes on East Asian Summer Monsoon. Journal of Climate, https://doi.org/10.1175/JCLI-D-22-0335.1
55. Wang, H., Zan, B., Wei, J., Song, Y., Mao, Q., 2022: Spatiotemporal Characteristics of Soil Moisture and Land–Atmosphere Coupling over the Tibetan Plateau Derived from Three Gridded Datasets. Remote Sensing, 14,5819. https://doi.org/10.3390/ rs14225819
54. Kong, X.*, A. Wang, X. Bi, J. Wei*, X. Li, 2022: The influence of different parameterizations on diurnal cycle of land precipitation in CAS-ESM, Atmospheric Research, 282 (2023), https://doi.org/10.1016/j.atmosres.2022.106511
53. Zhu, S., Dong, X., Qi, Y., Wei, J., Chen, H. 2022: The predictability of snow depth at the North Hemisphere originated from persistence and oceanic forcing. Climate Dynamics, https://doi.org/10.1007/s00382-022-06356-4
52. Wei, J. *, B. Lu, Y. Song, Q. Jin, Y. Yang, Q. Chen, H. Chen, 2022: Impact of aerosol radiative effect on the diurnal cycle of summer precipitation over North China: distinct results from simulations with parameterized versus explicit convection. Geophysical Research Letters, 49, e2022GL098795, https://doi.org/10.1029/2022GL098795
51. Kong, X., Wang, A., Bi, X., Sun, B., and Wei, J., 2022: The Hourly Precipitation Frequencies in the Tropical-Belt Version of WRF: Sensitivity to Cumulus Parameterization and Radiation Schemes. Journal of Climate 35, 1, 285-304, https://doi.org/10.1175/JCLI-D-20-0854.1
2021
50. He, C.(本科生), Wei, J.*, Song, Y., Luo, J.-J., 2021: Seasonal Prediction of Summer Precipitation in the Middle and Lower Reaches of the Yangtze River Valley: Comparison of Machine Learning and Climate Model Predictions. Water, 13, 3294. https://doi.org/10.3390/w13223294
49. Liu, S., J. Wang*, J. Wei, H. Wang, 2021: Hydrological simulation evaluation with WRF-Hydro in a large and highly complicated watershed: The Xijiang River basin, Journal of Hydrology: Regional Studies, 38, 100943, https://doi.org/10.1016/j.ejrh.2021.100943
48. Wei, J. *, Liu, Y., Chen, H. 2021: Contrasting responses of local climate to the perturbation of atmospheric boundary layer winds linked to land–atmosphere interactions. Journal of Geophysical Research: Atmospheres, 126, e2020JD034508, https://doi.org/10.1029/2020JD034508.
47. Lo, M.-H.*, H.-W. Wey, E.-S. Im, L. I. Tang, R. G. Anderson, R.-J. Wu, R.-Y. Chien, J. Wei, A. AghaKouchak, Y. Wada, 2021: Intense agricultural irrigation induced contrasting precipitation changes in Saudi Arabia, Environmental Research Letters, https://doi.org/10.1088/1748-9326/ac002e
46. Song, Y. and Wei, J.* 2021: Diurnal Cycle of Summer Precipitation over the North China Plain and Associated Land–atmosphere Interactions: Evaluation of ERA5 and MERRA‐2. International Journal of Climatology. 41(13), 6031–6046. https://doi.org/10.1002/joc.7166
45. Sun, Y., Chen, H.*, Zhu, S., Zhang, J., and Wei, J. 2021: Influence of the Eurasian Spring Snowmelt on Summer Land Surface Warming over Northeast Asia and Its Associated Mechanism. Journal of Climate 34, 12, 4851-4869, https://doi.org/10.1175/JCLI-D-20-0756.1
44. Zhu S., Y. Qi, H. Chen*, C. Gao, B. Zhou, J. Zhang, J. Wei. 2021: Distinct impacts of spring soil moisture over the Indo‐China Peninsula on summer precipitation in the Yangtze River basin under different SST backgrounds. Climate Dynamics, 56(5-6):1895-1918. https://doi.org/10.1007/s00382-020-05567-x
43. Jin, Q.*, Wei, J.*, W. K. M. Lau, B. Pu, C. Wang 2021: Interactions of Asian mineral dust with Indian summer monsoon: Recent advances and challenges. Earth-Science Reviews, 215, 103562. https://doi.org/10.1016/j.earscirev.2021.103562
42. Jin, Q.*, Wei, J.*, W. K. M. Lau, B. Pu, C. Wang 2021: Corrigendum to “Interactions of Asian mineral dust with Indian summer monsoon: Recent advances and challenges.” Earth-Science Reviews, 216, 103618, https://doi.org/10.1016/j.earscirev.2021.103618
41. Wei, J.*, Zhao, J., Chen, H., & Liang, X.‐Z. 2021: Coupling between land surface fluxes and lifting condensation level: Mechanisms and sensitivity to model physics parameterizations. Journal of Geophysical Research: Atmospheres, 126, e2020JD034313. https://doi.org/10.1029/2020JD034313.
2020
40. Zheng, H., Yang, Z.-L., Lin, P., Wu, W.-Y., Li, L., Xu, Z., Wei, J., Zhao, L., Bian, Q., and Wang, S. 2020: Falsification‐oriented signature‐based evaluation for guiding the development of land surface models and the enhancement of observations, Journal of Advances in Modeling Earth Systems, https://doi.org/10.1029/2020MS002132.
39. Kong X., Wang A., Bi X., Wei J., 2020: Daily precipitation characteristics of RegCM4 and WRF in China and their interannual variations, Climate Research, 82, 97-115. https://doi.org/10.3354/cr01621.
38. Zhang W., H. Chen, L. Zhou, B. Zhou, J. Zhang, J. Wei., 2020 Effects of nonuniform land surface warming on summer anomalous extratropical cyclone activity and East Asian summer monsoon: Numerical experiments with a regional climate model. Journal of Climate, https://doi.org/10.1175/JCLI-D-20-0088.1.
37. Li, W., Hu, S., Hsu, P. C., Guo, W., and Wei, J., 2020: Systematic bias of Tibetan Plateau snow cover in subseasonal-to-seasonal models, The Cryosphere, 14, 3565-3579, https://doi.org/10.5194/tc-14-3565-2020
36. Lin, P., Yang, Z.-L., Wei, J., Dickinson, R. E. Zhang, Y., Zhao, L., 2020: Assimilating multi-satellite snow data in ungauged Eurasia improves the simulation accuracy of Asian monsoon seasonal anomalies. Environmental Research Letters, https://iopscience.iop.org/article/10.1088/1748-9326/ab80ef.
35. Zhu, S., Chen, H., Dong, X., Wei, J., 2020: Influence of persistence and oceanic forcing on global soil moisture predictability. Climate Dynamics, https://doi.org/10.1007/s00382-020-05184-8.
2019
34. Wei, J.*, & Dirmeyer, P. A., 2019: Sensitivity of Land Precipitation to Surface Evapotranspiration: A Nonlocal Perspective Based on Water Vapor Transport. Geophysical Research Letters, 46, 12,588-12,597. https://doi.org/10.1029/ 2019GL085613.
33. Zheng, H., Yang, Z.-L., Lin, P., Wei, J., Wu, W.-Y., Li, L., et al., 2019: On the sensitivity of the precipitation partitioning into evapotranspiration and runoff in land surface parameterizations. Water Resources Research, 55, 95–111. https://doi.org/10.1029/2017WR022236.
32. Yang, K., Zhang, J., Wu, L., Wei, J., 2018: Prediction of summer hot extremes over the middle and lower reaches of the Yangtze River valley, Climate Dynamics, 52, 2943-2957. https://doi.org/10.1007/s00382-018-4302-4.
2018
31. Li, W., Guo, W., Qiu, B., Xue, Y., Hsu, P.-C., Wei, J., 2018: Influence of Tibetan Plateau snow cover on East Asian atmospheric circulation at medium-range time scales, Nature Communications, 9: 4243. https://doi.org/10.1038/s41467-018-06762-5.
30. Jin, Q., Wei, J.*, Pu, B. Yang, Z.-L., 2018: High aerosol loadings over the Arabian Sea in summer and their transport pathways，Journal of Geophysical Research: Atmospheres, 123, 10,568–10,590. https://doi.org/10.1002/2018JD028588
29. Sun, S., H. Chen, J. Li, J. Wei, et al. 2018: Dependence of SPEI-3 dryness/wetness sensitivity on climatological precipitation over Southwest China, International Journal of Climatology, https://doi.org/10.1002/joc.5690
28. Li, X., Chen, H., Wei, J., Hua, W., Sun, S., Ma, H., Li, X. & Li, J., 2018: Inconsistent responses of hot extremes to historical land use and cover change among the selected CMIP5 models. Journal of Geophysical Research: Atmospheres, 123, 3497-3512, https://doi.org/10.1002/2017JD028161.
27. Wei, J., Dirmeyer, P.A., Yang, ZL. H. Chen, 2018: Effect of land model ensemble versus coupled model ensemble on the simulation of precipitation climatology and variability, Theoretical and Applied Climatology, 134, 793-800. https://doi.org/10.1007/s00704-017-2310-7.
2017
26. Jin, Q., Wei, J., Yang, Z.-L., and Lin, P, 2017: Irrigation-induced environmental changes around the Aral Sea: an integrated view from multiple satellite observations, Remote Sensing, 9(9), 900, https://doi.org/10.3390/rs9090900.
25. Wei, J., Q. Jin, Z.-L. Yang, L. Zhou, 2017: Land-atmosphere-aerosol coupling in North China during 2000–2013, International Journal of Climatology, https://doi.org/10.1002/joc.4993.
2016
24. Lin, P., J. Wei, Z.-L. Yang, Y. Zhang, 2016: Snow data assimilation-constrained land initializations improve seasonal temperature predictions, Geophysical Research Letters, 43, 11,423–11,432, https://doi.org/10.1002/2016GL070966.
23. Wei, J., Q. Jin, Z.-L. Yang, P. A. Dirmeyer, 2016: Role of ocean evaporation in California droughts and floods, Geophysical Research Letters, 43, 6554–6562, https://doi.org/10.1002/2016GL069386.
22. Jin, Q., Yang, Z.-L., and Wei, J., 2016: Seasonal Responses of Indian Summer Monsoon to Dust Aerosols in the Middle East, India, and China, J. Climate, 29, 6329-6349.
21. Jin, Q., Yang, Z.-L., and Wei, J., 2016: High sensitivity of Indian summer monsoon to Middle East dust absorptive properties, Scientific Reports, 6, 30690, https://doi.org/10.1038/srep30690.
20. Wei, J., H. Su, and Z.-L. Yang, 2016a: Impact of moisture flux convergence and soil moisture on precipitation: a case study for the southern United States with implications for the globe, Climate Dynamics, 46, 467-481, https://doi.org/10.1007/s00382-015-2593-2.
2015
19. Jin, Q., Wei, J., Yang, Z.-L., Pu, B., and Huang, J., 2015: Consistent response of Indian summer monsoon to Middle East dust in observations and simulations, Atmos. Chem. Phys., 15, 9897-9915, doi:10.5194/acp-15-9897-2015, 2015.
18. Long, D., Y. Yang, W. Liang, Y. Hong, Y. Wada, Y. Chen, J. Wei, L. Chen, 2015, Deriving scaling factors using a global hydrological model to restore GRACE total water storage changes for China's Yangtze River Basin, Remote Sensing of Environment, 168, 177-193. https://doi.org/10.1016/j.rse.2015.07.003
2014
17. Jin, Q., J. Wei, and Z.-L. Yang, 2014: Positive response of India summer rainfall to Middle East dust, Geophysical Research Letters, 41, https://doi.org/10.1002/2014GL059980.
16. Su, H., Z.-L. Yang, R. E. Dickinson, and J. Wei, 2014: Spring soil moisture–precipitation feedback in the Southern Great Plains: How is it related to large-scale atmospheric conditions? Geophysical Research Letters, 41, https://doi.org/10.1002/2013GL058931.
15. Dirmeyer, P. A., J. Wei, M. G. Bosilovich, and D. M. Mocko, 2014: Comparing Evaporative Sources of Terrestrial Precipitation and Their Extremes in MERRA Using Relative Entropy, J. Hydrometeorology, 15, 102–116.
2010-2013
14. Wei, J., P. A. Dirmeyer, D. Wisser et al., 2013: Where does the irrigation water go? An estimate of the contribution of irrigation to precipitation using MERRA, J. Hydrometeorology, 14, 275-289.
13. Wei, J. and P. A. Dirmeyer, 2012: Dissecting soil moisture-precipitation coupling, Geophysical Research Letters, 39, L19711, https://doi.org/10.1029/2012GL053038.
12. Wei, J., P. A. Dirmeyer, M. G. Bosilovich, and R. Wu, 2012: Water vapor sources for the Yangtze River Valley rainfall: Climatology, variability, and implications for rainfall forecasting, Journal of Geophysical Research - Atmospheres, 117, D05126, https://doi.org/10.1029/2011JD016902.
11. Zhang, L., P. A. Dirmeyer, J. Wei, Z. Guo and S. Lu, 2011: Land-atmosphere Coupling Strength in the Global Forecast System, Journal of Hydrometeorology, 12, 147-156.
10. Wei, J. and P. A. Dirmeyer, 2010: Toward understanding the large-scale land-atmosphere coupling in the models: Roles of different processes, Geophysical Research Letters, https://doi.org/10.1029/2010GL044769.
9. Wei, J., P. A. Dirmeyer, and Z. Guo, 2010: How much do different land models matter for climate simulation? Part II: A decomposed view of land-atmosphere coupling strength, Journal of Climate, 23, 3135-3145.
8. Wei, J., P. A. Dirmeyer, Z. Guo, L. Zhang, and V. Misra, 2010: How much do different land models matter for climate simulation? Part I: Climatology and variability, Journal of Climate, 23, 3120-3134.
7. Wei, J., P. A. Dirmeyer, and J. Zhang, 2010: Land-caused uncertainties in climate change simulations: A study with the COLA AGCM, Quarterly Journal of the Royal Meteorological Society, 136, 819-824. https://doi.org/10.1002/qj.598.
Before 2009
6. Wei, J., P. A. Dirmeyer, and Z. Guo, 2008: Sensitivities of soil wetness simulation to uncertainties in precipitation and radiation, Geophysical Research Letters, 35, L15703, https://doi.org/10.1029/2008GL034494.
5. Zhang, J., W-C Wang, and J. Wei, 2008: Assessing land-atmosphere coupling using soil moisture from the Global Land Data Assimilation System and observational precipitation, Journal of Geophysical Research - Atmospheres, 113, D17119, https://doi.org/10.1029/2008JD009807.
4. Wei, J., R. E. Dickinson, and H. Chen, 2008: A negative soil moisture-precipitation relationship and its causes, Journal of Hydrometeorology, 9, 1364-1376.
3. Wei, J., R. E. Dickinson, and N. Zeng, 2006: Climate variability in a simple model of warm climate land-atmosphere interaction, Journal of Geophysical Research - Biogeosciences, 111, G03009, https://doi.org/10.1029/2005JG000096.
2. Zhang, J, W. Dong, L. Wu, J. Wei and P. Chen, 2005: Impact of land use changes on surface warming in China, Advances in Atmospheric Sciences, 22, 343-348.
1. Wei, J. and H. Wang, 2004: A possible role of solar radiation and ocean in the mid-Holocene East Asian monsoon climate, Advances in Atmospheric Sciences, 21, 1-12.
Book chapters:
Wei, J., P. A. Dirmeyer, Z. Guo, and L. Zhang, 2012: Impact of atmospheric variability on soil moisture-precipitation coupling, in Climate Variability - Some Aspects, Challenges and Prospects, A. Hannachi (Ed.), ISBN: 978-953-307-699-7, InTech, Available online at: http://www.intechopen.com/articles/show/title/impact-of-atmospheric-variability-on-soil-moisture-precipitation-coupling.
News Letters:
Dirmeyer, P. A., Z. Guo, and J. Wei, 2010: Building the case for (or against) land-driven climate predictability. iLEAPS Newsletter, No. 9, 14-17.
本团队招聘博士后，欢迎有志青年咨询申请！
魏江峰教授团队在国家千人计划、国家自然科学基金、江苏特聘教授等项目支持下拟招聘博士后研究人员1-2名开展气候模拟、陆气相互作用、气溶胶的气侯效应的相关研究工作。优先考虑的研究方向包括陆气相互作用、大气和陆地水循环、气溶胶的气候效应、云降水物理和积云对流、以及遥感资料在气象中的应用，尤其欢迎有WRF/WRF-Chem、CESM或其他模式模拟经验者。 一、申请条件 1. 在国（境）内外获得或者即将获得大气科学、水文气象、地理、遥感或相近专业博士学位，全时全职来我校从事博士后研究工作，获得博士学位不超过3年，年龄在32周岁以下；博士期间从事相关研究并发表SCI论文者优先； 2. 身体健康，符合南京信息工程大学有关博士后管理的规定； 3. 具有较强的英语阅读与写作能力； 4. 责任心强，沟通表达能力强，具有团队协作精神，能尽快到岗工作。 二、岗位职责与待遇 1. 利用现有研究平台和数据，撰写发表高质量研究论文； 2. 帮助指导研究生，必要时给一些讲座或课程； 3. 积极申请国家自然科学基金、中国博士后基金、博士后国际交流计划等项目； 4. 年薪25-50万起；其它福利享受在编老师待遇；另提供1000元/月租房补贴（不在年薪内）和工作日免费三餐； 5. 优秀的博士后出站后可直接留校任教。 三、招聘程序 1. 申请人首先通过电子邮件联系，请将详细个人简历发送至 jwei@nuist.edu.cn; 2. 初选合格者将通过电话进行初步沟通并通知本人提供2名推荐人联系信息（要求其中1位为本人的博士生导师）。 3. 通知本人参加面试。 4. 通过面试者到指定医院进行体检，体检合格者将被录用。 Postdoc Scientist (land-atmosphere interactions and regional climate modeling) Job details: The land-atmosphere interactions research group at Nanjing University of Information Science and Technology (NUIST) invites applications for 1~2 Postdoc Scientist positions in the field of land-atmosphere interactions and regional climate modeling. The ideal candidate should have expertise in at least one of the following fields: (1) Land-atmosphere interactions and water cycle (modeling or observational analysis). (2) Regional climate modeling with WRF/WRF-CHEM. (3) Aerosol-climate interactions. (4) Remote Sensing applications to atmospheric Sciences Salary (250,000 to 500,000 RMB/year or higher) will be commensurate with qualifications and experience. This is a position with an initial 1-year term, with possibility of extending to 2 years based on performance. After postdoc, excellent candidate may join NUIST as a faculty member.This position is available immediately. Applications will be considered until the position is filled. Applicants must hold a Ph.D. in an appropriate discipline by the date of the appointment and be within 3 years of getting the PhD. Applicants should submit a CV, description of research interests, and the names of at least two references to: Prof. Wei (jwei@nuist.edu.cn).