2019 Meteorological Science and Technology Progress Achievement Award

Sept. 2006-Jun. 2010 B.S. in Atmospheric Science, Nanjing University of Information Science & Technology
Sept. 2010-Jun. 2013 M.S. in Meteorology, Nanjing University of Information Science & Technology
Sept. 2015-Dec. 2018 Ph.D. in Meteorology, Nanjing University of Information Science & Technology

Jul. 2013-Jun. 2016 Associate Engineer in Meteorology, Laboratory for Climate Studies, National Climate Center, CMA
Jul. 2016-Nov. 2018 Engineer in Meteorology, Laboratory for Climate Studies, National Climate Center, CMA
Dec. 2018-Present Senior Engineer in Meteorology, Laboratory for Climate Studies, National Climate Center, CMA

Subseasonal-to-seasonal (S2S) prediction
Madden-Julian oscillation (MJO)

1. “Research on Climatic Impact and Predictability of MJO Events of Varying Amplitudes and Types”, a project supported by Youth Program of National Natural Science Foundation of China (Grant No. 41905067)
2. CMA National Key Technology Research and Development Program project (Grant No. 2018YFC1505906)

1. J. Wu, P.Q. Zhang, L. Li, et al. (2020). “Representation and predictability of the East Asia-Pacific teleconnection in the Beijing Climate Center and UK Met Office subseasonal prediction systems.” Journal of Meteorological Research, DOI: 10.1007/s13351-020-0040-8.
2. J. Wu, H.L. Ren, B. Lu, et al. (2020). “Effects of moisture initialization on MJO and its teleconnection prediction in BCC Subseasonal Coupled Model.” Journal of Geophysical Research: Atmospheres, 125, 1, e2019JD031537 DOI: 10.1029/2019JD031537.
3. B. Lu, H.Y. Li , J. Wu, et al. (2019). “Impact of El Niño and Southern Oscillation on the summer precipitation over Northwest China.” Atmospheric Science Letters, 20:e928, https://doi.org/10.1002/asl.928.
4. L.J. Chen, Z.S. Gong , J. Wu, et al. (2019). “Extremely active tropical cyclone activities over the Western North Pacific and South China Sea in summer 2018: joint effects of decaying La Niña and intraseasonal oscillation.” Journal of Meteorological Research, 33(4), 609-626, DOI: 10.1007/s13351-019-9009-x.
5. J. Wu, H.L. Ren, X. F. Xu, et al. (2018). “Seasonal Modulation of MJO’s Impact on Precipitation in China and Its Dynamical-Statistical Downscaling Prediction (in Chinese).” Meteorology Monthly, 44(6), 737-751.
6. J. Wu, H.L. Ren, S. Zhang, et al. (2017). “Evaluation and predictability analysis of seasonal prediction by BCC second-generation climate system model (in Chinese).” Chinese Journal of Atmospheric Sciences, 41(6), 1300-1315, DOI:10.3878/j.issn.1006-9895.1703.16256.
7. J. Wu, H.L. Ren, J.Q. Zuo , et al. (2016). “MJO prediction skill, predictability, and teleconnection impacts in the Beijing Climate Center Atmospheric General Circulation Model.” Dynamics of Atmospheres and Oceans, 75, 78-90; DOI:10.1016/j.dynatmoce.2016.06.001.
8. J. Wu, H.L. Ren, C.B. Zhao , et al. (2016). “Research and application of operational MJO monitoring and prediction products in Beijing Climate Center (in Chinese).” Journal of Applied Meteorological Science, 27(6), 641-653.
9. J. Wu, X.F. Xu, F.F. Jin, et al. (2016). “Numerical simulation of the influence of baroclinic basic flow on cyclone perturbation low-frequency development in East Asia summer monsoon areas (in Chinese).” Chinese Journal of Geophysics, 59(4), 1222-1234; DOI: 10.6038/cjg20160405.
10. H.L. Ren , J. Wu, C.B. Zhao, et al. (2016). “MJO ensemble prediction in BCC-CSM1.1(m) using different initialization schemes.” Atmospheric and Oceanic Science Letters, 9(1), 60-65.
11. H.L. Ren, J. Wu, C.B. Zhao, et al. (2015). “Advances in MJO prediction research and development (in Chinese).” Journal of Applied Meteorological Science, 26(6), 658-668.
12. J. Wu, X.F. Xu, F.F. Jin, et al. (2013). “Research of the intraseasonal evolution of the East Asia Pacific pattern and the maintenance mechanism (in Chinese).” Acta Meteorologica Sinica, 71(3), 476-491.
13. J. Wu, H.-L. Ren, P. Zhang, et al. (2022). “The dynamical-statistical subseasonal prediction of precipitation over China based on the BCC new‑generation coupled model” Climate Dynamics, DOI: 10.1007/s00382-022-06187-3.
14. J. Wu, F-.F. Jin. (2021). “Improving the MJO Forecast of S2S Operation Models by Correcting Their Biases in Linear Dynamics.” Geophysical Research Letters, 48(6) e2020GL091930, DOI: 10.1029/2020GL091930.