JIAN LING's Website

Jian Ling's Website

Chinese | English

Affiliation

Professor

State Key Laboratory of Numerical Modeling for Atmospheric Sciences and Geophysical Fluid Dynamics (LASG)

Institute of Atmospheric Physics (IAP)

Chinese Academy of Science (CAS)

40 Huayanli, Chaoyang Dist.

Beijing, 100029

Tel: +86-10-82995478

E-mail: lingjian.AT.lasg.iap.ac.cn

Education

Ph.D.(2004.9 - 2009.5), Meteorology, Institute of Atmospheric Physics, Beijing, P. R. China

B.S.(2000.7 - 2004.7), Meteorology, University of Science and Technology of China, Hefei, P. R. China

B.E.(2002.7 - 2004.7), Computer Science, University of Science and Technology of China, Hefei, P. R. China

Professional Experience

2013.8 - present, Professor, LASG, Institute of Atmospheric Physics, Beijing, China

2012.8 - 2013.8, Visiting Scientist, European Centre for Medium- Range Weather Forecasts, Reading, UK

2009.8 - 2013.8, Post-doctoral, RSMAS, University of Miami, Miami, USA

2008.1 - 2008.3, Research Assistant, City University of Hong Kong, Hong Kong, China

Publications

Ling J., P. Bauer, P. Bechtold, A. Beljaars, R. Forbes, F. Vitart, M. Ulate, and C. Zhang, 2014: Global versus Local MJO Forecast Skill of the ECMWF Model during DYNAMO. Mon. Wea. Rev., 142, 2228-2247.
Ling J., C. Li, W. Zhou, and X. Jia, 2014: To begin or not to begin? A case study on the MJO initiation problem. Theor. Appl. Climatol., 115, 231-241.
Li C., J. Ling, J. Song, J. Pan, T. Hua, and X. Chen, 2014: Research progress in china on the tropical atmospheric intraseasonal oscillation. J. Meteorol. Res., 28, 671-692.
Ling J., C. Zhang, and P. Bechtold, 2013: Large-Scale Distinctions between MJO and Non-MJO Convective Initiation over the Tropical Indian Ocean. J. Atmos. Sci., 70, 2696-2712.
Ling J., and C. Zhang, 2013: Diabatic Heating Profiles in Recent Global Reanalyses. J. Climate, 26, 3307-3325.
Ling J., C. Li, X. Jia, and C. Zhang, 2013: Effect of boundary layer latent heating on MJO simulations. Adv. Atmos. Sci., 30, 101-115.
Zhang, C. and J. Ling, 2012: Potential Vorticity of the Madden-Julian Oscillation. J. Atmos. Sci., 69, 65-78.
Ling J. and C. Zhang, 2011: Structural evolution in latent heating profiles of the MJO in global reanalysis and TRMM. J. Climate, 24, 825-842.
Zhang, C., J. Ling, S. Hagos, W. Tao, S. Lang, Y. N. Takayabu, S. Shige, M. Katsumata, W. S. Olson, T. L’Ecuyer, 2010: MJO Signals in Latent Heating: Results from TRMM Retrievals. J. Atmos. Sci., 67, 3488-3508.
Jia, X., C. Li, N. Zhou, and J. Ling, 2010: The MJO in an AGCM with three different cumulus parameterization schemes. Dyn. Atmos. Oceans, 49, 141-163.
Li C., J. Ling, 2009: Physical Essence of the “Predictability Barrier”. Atmospheric and Oceanic Science Letters, 2(5), 290-294.
Zhou, W., J. Chan, W. Chen, J. Ling, J. G. Pinto, and Y. Shao, 2009: Synoptic-Scale Controls of Persistent Low Temperature and Icy Weather over Southern China in January 2008. Mon. Wea. Rev., 137, 3978-3991.
Li, C., X. Jia, J. Ling, W. Zhou, and C. Zhang, 2009: Sensitivity of MJO simulations to diabatic heating profiles. Clim. Dyn., 32, 167-187.
Jia, X., C. Li, and J. Ling, 2009: Impacts of Cumulus Parameterization and Resolution on the MJO Simulation. J. Trop. Meteorol., 15, 106-110.
Jia, X., C. Li, J. Ling, and C. Zhang, 2008: Impacts of a GCM's resolution on MJO simulation. Adv. Atmos. Sci., 25, 139-156.
Li, C., J. Ling, X. Jia, and M. Dong, 2007: Numerical simulation and comparison study of the atmospheric intraseasonal oscillation. Acta. Meteorol. Sin., 21, 1-8.

Conference Abstracts

Ling, J., P. Bauer, P. Bechtold, A. Beljaars, R. Forbes, F. Vitart, M. Ulate, and C. Zhang: Global versus Local MJO Forecast Skill of the ECMWF Model during DYNAMO. 31th Conference on Hurricanes and Tropical Meteorology, San Diego, California, 31 Mar.–4 Apr., 2014.
Ling, J., C. Zhang, and P. Bechtold: Large-Scale Distinctions Between MJO and non-MJO Convective Initiation over the Tropical Indian Ocean. MJO Field Data and Science Workshop, Kohala Coast, Hawaii, 4-8 Mar., 2013.
Ling, J.,P. Bechtold, P. Bauer, A. Beljaars, F. Vitart and C. Zhang: The contribution of observations collected during DYNAMO to MJO predictability. MJO Field Data and Science Workshop, Kohala Coast, Hawaii, 4-8 Mar, 2013.
Ling, J. and C. Zhang: Evolution of Potential Vorticity as a Sign of MJO Initiation:A Case Study. 30th Conference on Hurricanes and Tropical Meteorology, Ponte Vedra Beach, Florida, 15-20 Apr. 2012.
Ling, J. and C. D. Zhang: Structural evolution in latent heating profiles of the MJO in global reanalysis and TRMM. 29th Conference on Hurricanes and Tropical Meteorology. Tucson, Arizona, 10–14 May 2010.
Ling, J., C. Y. Li, and X. L. Jia: On numerical simulation of tropical atmospheric intraseasonal oscillation (MJO). The International Congress of Theoretical and Applied Mechanics. Adelaide, Australia, 25-29 Aug. 2008.

Jian Ling's Website

Chinese | English

Affiliation

Professor

State Key Laboratory of Numerical Modeling for Atmospheric Sciences and Geophysical Fluid Dynamics (LASG)

Institute of Atmospheric Physics (IAP)

Chinese Academy of Science (CAS)

40 Huayanli, Chaoyang Dist.

Beijing, 100029

Tel: +86-10-82995478

E-mail: lingjian.AT.lasg.iap.ac.cn

Education

Ph.D.(2004.9 - 2009.5), Meteorology, Institute of Atmospheric Physics, Beijing, P. R. China

B.S.(2000.7 - 2004.7), Meteorology, University of Science and Technology of China, Hefei, P. R. China

B.E.(2002.7 - 2004.7), Computer Science, University of Science and Technology of China, Hefei, P. R. China

Professional Experience

2013.8 - present, Professor, LASG, Institute of Atmospheric Physics, Beijing, China

2012.8 - 2013.8, Visiting Scientist, European Centre for Medium- Range Weather Forecasts, Reading, UK

2009.8 - 2013.8, Post-doctoral, RSMAS, University of Miami, Miami, USA

2008.1 - 2008.3, Research Assistant, City University of Hong Kong, Hong Kong, China

Publications

Ling J., P. Bauer, P. Bechtold, A. Beljaars, R. Forbes, F. Vitart, M. Ulate, and C. Zhang, 2014: Global versus Local MJO Forecast Skill of the ECMWF Model during DYNAMO. Mon. Wea. Rev., 142, 2228-2247.

Ling J., C. Li, W. Zhou, and X. Jia, 2014: To begin or not to begin? A case study on the MJO initiation problem. Theor. Appl. Climatol., 115, 231-241.

Li C., J. Ling, J. Song, J. Pan, T. Hua, and X. Chen, 2014: Research progress in china on the tropical atmospheric intraseasonal oscillation. J. Meteorol. Res., 28, 671-692.

Ling J., C. Zhang, and P. Bechtold, 2013: Large-Scale Distinctions between MJO and Non-MJO Convective Initiation over the Tropical Indian Ocean. J. Atmos. Sci., 70, 2696-2712.

Ling J., and C. Zhang, 2013: Diabatic Heating Profiles in Recent Global Reanalyses. J. Climate, 26, 3307-3325.

Ling J., C. Li, X. Jia, and C. Zhang, 2013: Effect of boundary layer latent heating on MJO simulations. Adv. Atmos. Sci., 30, 101-115.

Zhang, C. and J. Ling, 2012: Potential Vorticity of the Madden-Julian Oscillation. J. Atmos. Sci., 69, 65-78.

Ling J. and C. Zhang, 2011: Structural evolution in latent heating profiles of the MJO in global reanalysis and TRMM. J. Climate, 24, 825-842.

Zhang, C., J. Ling, S. Hagos, W. Tao, S. Lang, Y. N. Takayabu, S. Shige, M. Katsumata, W. S. Olson, T. L’Ecuyer, 2010: MJO Signals in Latent Heating: Results from TRMM Retrievals. J. Atmos. Sci., 67, 3488-3508.

Jia, X., C. Li, N. Zhou, and J. Ling, 2010: The MJO in an AGCM with three different cumulus parameterization schemes. Dyn. Atmos. Oceans, 49, 141-163.

Li C., J. Ling, 2009: Physical Essence of the “Predictability Barrier”. Atmospheric and Oceanic Science Letters, 2(5), 290-294.

Zhou, W., J. Chan, W. Chen, J. Ling, J. G. Pinto, and Y. Shao, 2009: Synoptic-Scale Controls of Persistent Low Temperature and Icy Weather over Southern China in January 2008. Mon. Wea. Rev., 137, 3978-3991.

Li, C., X. Jia, J. Ling, W. Zhou, and C. Zhang, 2009: Sensitivity of MJO simulations to diabatic heating profiles. Clim. Dyn., 32, 167-187.

Jia, X., C. Li, and J. Ling, 2009: Impacts of Cumulus Parameterization and Resolution on the MJO Simulation. J. Trop. Meteorol., 15, 106-110.

Jia, X., C. Li, J. Ling, and C. Zhang, 2008: Impacts of a GCM's resolution on MJO simulation. Adv. Atmos. Sci., 25, 139-156.

Li, C., J. Ling, X. Jia, and M. Dong, 2007: Numerical simulation and comparison study of the atmospheric intraseasonal oscillation. Acta. Meteorol. Sin., 21, 1-8.

Conference Abstracts

Ling, J., P. Bauer, P. Bechtold, A. Beljaars, R. Forbes, F. Vitart, M. Ulate, and C. Zhang: Global versus Local MJO Forecast Skill of the ECMWF Model during DYNAMO. 31th Conference on Hurricanes and Tropical Meteorology, San Diego, California, 31 Mar.–4 Apr., 2014.

Ling, J., C. Zhang, and P. Bechtold: Large-Scale Distinctions Between MJO and non-MJO Convective Initiation over the Tropical Indian Ocean. MJO Field Data and Science Workshop, Kohala Coast, Hawaii, 4-8 Mar., 2013.

Ling, J.,P. Bechtold, P. Bauer, A. Beljaars, F. Vitart and C. Zhang: The contribution of observations collected during DYNAMO to MJO predictability. MJO Field Data and Science Workshop, Kohala Coast, Hawaii, 4-8 Mar, 2013.

Ling, J. and C. Zhang: Evolution of Potential Vorticity as a Sign of MJO Initiation:A Case Study. 30th Conference on Hurricanes and Tropical Meteorology, Ponte Vedra Beach, Florida, 15-20 Apr. 2012.

Ling, J. and C. D. Zhang: Structural evolution in latent heating profiles of the MJO in global reanalysis and TRMM. 29th Conference on Hurricanes and Tropical Meteorology. Tucson, Arizona, 10–14 May 2010.

Ling, J., C. Y. Li, and X. L. Jia: On numerical simulation of tropical atmospheric intraseasonal oscillation (MJO). The International Congress of Theoretical and Applied Mechanics. Adelaide, Australia, 25-29 Aug. 2008.