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People > Research Fellows > Xianwen Jing

Xianwen Jing

Research Fellow

Climate and Space Sciences and Engineering

CSRB 1541A

Climate & Space Research Building University of Michigan 2455 Hayward Street Ann Arbor, MI 48109-2143

xianwen@umich.edu

734.647.3340

Related Links
  • Curriculum Vitae
Education Research Interests Awards Publications

Education:

  • Ph.D. in Meteorology, Graduate University of Chinese Academy of Sciences, September 2009 – July 2012
  • M.S. in Meteorology, Nanjing University of information Science & Technology, September 2006 – June 2009
  • B.S. in Applied Meteorology, Nanjing University of information Science & Technology, September 2002 – June 2006

Research Interests: ^top

Cloud microphysics & macrophysics; Atmospheric radiation; Remote sensing; Climate simulation.

Awards: ^top

  • Excellent Poster Award of the 28th Annual meeting of Chinese Meteorological Society, November 2011, Xiamen, China.
  • Outstanding Graduates of Nanjing University of Information Science & Technology, November 2005, Nanjing, China.
  • Advanced Individual Special Award of Summer Social Practice, Nanjing University of Information Science & Technology, October 2005, Nanjing, China.

Publications: ^top

Publications in English:

1. Jing, X., K. Suzuki, and T. Michibata, 2019. The Key Role of Warm Rain Parameterization in Determining the Aerosol Indirect Effect in a Global Climate Model. J. Climate, 32, 4409–4430, https://doi.org/10.1175/JCLI-D-18-0789.1.

2. Michibata, T., Suzuki, K., Ogura, T., and Jing, X.: Incorporation of inline warm rain diagnostics into the COSP2 satellite simulator for process-oriented model evaluation, Geosci. Model Dev., 12, 4297–4307, https://doi.org/10.5194/gmd-12- 4297-2019, 2019. 3

3. Stephens G. L., M. Christensen, T. Andrews, J. Haywood, F. Malavelle, K. Suzuki, X. Jing, M. Lebsock, J. L. Li, H. Takahshi, and O. Sy, 2019. Cloud Physics from Space, Q. J. Royal Meteorol. Soc., https://doi.org/10.1002/qj.3589.

4. Maloney, E.D., A. Gettelman, Y. Ming, J.D. Neelin, D. Barrie, A. Mariotti, C. Chen, D.R. Coleman, Y. Kuo, B. Singh, H. Annamalai, A. Berg, J.F. Booth, S.J. Camargo, A. Dai, A. Gonzalez, J. Hafner, X. Jiang, X. Jing, D. Kim, A. Kumar, Y. Moon, C.M. Naud, A.H. Sobel, K. Suzuki, F. Wang, J. Wang, A.A. Wing, X. Xu, and M. Zhao, 2019: Process-Oriented Evaluation of Climate and Weather Forecasting Models. Bull. Amer. Meteor. Soc., 100, 1665- 1686, https://doi.org/10.1175/BAMS-D-18-0042.1.

5. Jing X., and K. Suzuki, 2018. The impact of process-based warm rain constraints on the aerosol indirect effect. Geophys. Res. Lett., 45, 10,729–10,737, https://doi.org/10.1029/2018GL079956.

6. Jing X., H. Zhang, M. Satoh, and S. Zhao, 2018. Improving Representation of Tropical Cloud Overlap in GCMs Based on Cloud-Resolving Model Data. J. Meteor. Res., 32(2), 233-245, https://doi.org/10.1007/s13351-018-7095-9.

7. Jing X., K. Suzuki, H. Guo, D. Goto, T. Ogura, T. Koshiro, and J. Mülmenstädt, 2017. A multi-model study on warm precipitation biases in global models compared to satellite observations, J. Geophys. Res., 122, 11,806-11,824, https://doi.org/10.1002/2017JD027310. (Featured by J. Geophys. Res. atmosphere)

8. Zhao S., H. Zhang, Z. Wang, and X. Jing, 2017. Simulating the Effects of Anthropogenic Aerosols on Terrestrial Aridity Using an Aerosol–Climate Coupled Model. J. Climate, 30, 7451–7463, https://doi.org/10.1175/JCLI-D-16-0407.1.

9. Zhang F., K. Wu, P. Liu, X. Jing, and J. Li, 2017. Accounting for Gaussian quadrature in four-stream radiative transfer algorithms, J. Quantitative Spectroscopy and Radiative Transfer, 192, 1–13, https://doi.org/10.1016/j.jqsrt.2017.01.040.

10. Tang W., K.Yang, J. Qin, X. Niu, C. Lin, and X. Jing, 2017. A revisit to decadal change of aerosol optical depth and its impact on global radiation over China, Atmospheric Environment, 150, 106–115, https://doi.org/10.1016/j.atmosenv.2016.11.043.

11. Jing X., H. Zhang, J. Peng, J. Li, and H. Barker, 2016. Cloud Overlapping parameter Obtained from CloudSat/CALIPSO Dataset and Its Application in AGCM with McICA Scheme. Atmospheric Research, 170: 52–65, https://doi.org/10.1016/j.atmosres.2015.11.007.

12. Zhang H. and X. Jing* (corresponding author), 2016. Advances in Studies on Cloud Overlap and Its Radiative Transfer in Climate Models. J. Meteor. Res., 30, 156–168, https://doi.org/10.1007/s13351-016-5164-5.

13. Zhang H., Z. Wang, F. Zhang, and X. Jing, 2015. Impact of four-stream radiative transfer algorithm on aerosol direct radiative effect and forcing. Int. J. Climatol., 35: 4318–4328, https://doi.org/10.1002/joc.4289.

14. Zhang H., X. Jing, and J. Li, 2014. Application and evaluation of a new radiation code under McICA scheme in BCC_AGCM2.0.1. Geosci. Model Dev. 7(3): 737– 4 754, https://doi.org/10.5194/gmd-7-737-2014.

15. Jing X. and H. Zhang, 2013. Application and evaluation of McICA scheme in BCC_AGCM2.0.1. AIP Conference Proceedings, 1531, 756–759, https://doi.org/10.1063/1.4804880.

16. Wang Z., H. Zhang, J. Li, X. Jing, and P. Lu, 2013. Radiative forcing and climate response due to the presence of black carbon in cloud droplets, J. Geophys. Res. Atmos., 118, 3662–3675, https://doi.org/10.1002/jgrd.50312.

17. Wang Z., H. Zhang, X. Jing, X. Wei, 2013. Effect of non-spherical dust aerosol on its direct radiative forcing, Atmospheric Research, 120–121, 112–126.

18. Zhang H., J. Peng, X. Jing, and J. Li, 2013. The features of cloud overlapping in Eastern Asia and their effect on cloud radiative forcing. Sci. China Earth Sci. 56: 737–747, https://doi.org/10.1007/s11430-012-4489-x.

19. Lu P., H. Zhang, and X. Jing, 2012. The effects of different HITRAN versions on calculated long-wave radiation and uncertainty evaluation. Acta Meteorol. Sin. 26: 389–398, https://doi.org/10.1007/s13351-012-0310-1.

Selected publications in Chinese:

20. Zhang H., P. Lu, X. Jing, 2015. Application of Two-Four Stream Spherical Harmonic Expansion Approximation in a Global Climate Model. Chinese Journal of Atmospheric Sciences (in Chinese), 39(1): 137–144, https://doi.org/10.3878/j.issn.1006-9895.1404.13316.

21. Jing X., H. Zhang, 2012. Application and Evaluation of McICA Cloud-Radiation Framework in the AGCM of the National Climate Center. Chinese Journal of Atmospheric Sciences (in Chinese), 36(5): 945–958, https://doi.org/10.3878/j.issn.1006-9895.2012.11155.

22. Zhang H., X. Jing, 2010. Effect of cloud overlap assumptions in climate models on modeled earth-atmosphere radiative fields. Chinese Journal of Atmospheric Sciences (in Chinese), 34(3): 520–532, http://doi.org/10.3878/j.issn.1006- 9895.2010.03.06.

23. Jing X., H. Zhang, P. Guo, 2009. A Study of the Effect of Sub-grid Cloud Structure on Global Radiation in Climate Models. Acta Meteorologica Sinica (in Chinese), 67(6): 1058–1068, https://doi.org/10.11676/qxxb2009.102.

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Climate and Space Sciences and Engineering

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