个人信息Personal Information

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:  

2007.06-2009.12 美国Center for Ocean-Land-Atmosphere Studies (COLA)， 博士后
2010.01-2012.08 美国Center for Ocean-Land-Atmosphere Studies (COLA)，Research Scientist
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 IV   
2017.06 至今 南京信息工程大学大气科学学院 教授

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:  

国家海外引才计划青年学者 (2018)
江苏特聘教授（2018）

团队成员:  
博士后：
昝蓓蕾  
博士生：
宋媛媛 
硕士生：
毛倩倩   王慧敏   苏韦韬   濮烨   程浩秋   单昱峰   宋仁杰
已毕业/离校成员：
刘艺朦（硕士） 赵景文（硕士） 杨翼泽（博士后）  刘晓聪（硕士）  逯博延（硕士）   

Journal papers  (all SCI journals):

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、江苏双创计划等项目支持下拟招聘博士后研究人员1-2名开展区域气候模拟与陆气相互作用的相关研究工作。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. 特别优秀的博士后出站后可留校任教。

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).