LIU Yunyun

LIU Yunyun(刘芸芸) Professor/Master Supervisor/Deputy Director, Climate Prediction Division, Beijing Climate Center (BCC), CMA

Climate Prediction Division
Beijing Climate Center
China Meteorological Administration
No. 46 Zhongguangcun Nandajie, Beijing 100081, China
Tel:  86-10-58993090
Email: liuyuny@cma.gov.cn

Honors

2021 Young Meteorological Talents Award, CMA
2012 CMA Award for Excellent Forecasters

Education

2006-2009, Ph.D. in Meteorology, Chinese Academy of Science
2003-2006, M.S. in Meteorology, Nanjing University of Information Science &Technology
1999-2003, B.S. in Atmospheric Science, Nanjing University of Information Science &Technology

Work Experience

2009-2013, Climate Prediction Division, BCC/CMA
2013, Visiting Scientist, Climate Prediction Center, NCEP/NOAA, US
2014-2017, Division of Operation, Science and Technology, BCC/CMA
2018-Present, Climate Prediction Division, BCC/CMA

Research Fields

1. Asian monsoon regional climate monitoring and diagnosis
2. Short-term climate prediction
3. Extreme climate events research

Recent Main Projects

1.National Natural Science Foundations of China (Grant No. 42175056)
2.Guangdong Major Project of Basic and Applied Basic Research (Grant No. 2020B0301030004)

Publications

1.Liu, Y.*, Hu, Z.-Z., Wu, R., et al. 2022. Causes and predictability of the 2021 spring southwestern China severe drought. Adv. Atmos. Sci., https://doi.org/10.1007/s00376-022-1428-4.
2.Gong, Z., Liu, Y*., Hu, Z.-Z. et al. 2022. Tropical Cyclone Activities Over the Western North Pacific in Summer 2020: Transition From Silence in July to Unusually Active in August. Front. Earth Sci., 10: 843990. https://doi.org/10.3389/feart.2022.843990
3.Liu, Y., Wu R., Ding, Y. 2021. Distinct East Asian precipitation variability and predictability in coupled and uncoupled El Nino events. Environ. Res. Lett.,16: 094014. https://doi.org/10.1088/1748-9326/ac19de
4.Liu, Y.*, Wang, S. J., Liu, J. et al. 2021. Evaluation of FY-3/VIRR sea surface temperature data for climate applications. J. Meteor. Res., 35(6), 952–963, doi: 10.1007/s13351-021-1055-5.
5.Liu, Y.*, Hu, Z.-Z., Wu, R. et al. 2021. Subseasonal prediction and predictability of summer rainfall over eastern China in BCC_AGCM2.2. Clim. Dyn., 56: 2057-2069. https://doi.org/10.1007/s00382-020-05574-y
6.Ding, Y., Liu, Y.*, Hu, Z.-Z. 2021. The record-breaking mei-yu in 2020 and associated atmospheric circulation and tropical SST anomalies. Adv. Atmos. Sci., 38(12), 1980−1993, https://doi.org/10.1007/s00376-021-0361-2.
7.Liu, Y.*, Hu, Z.-Z., Wu, R., et al. 2020. Cooperative effects of tropical Pacific and Atlantic SST forcing in southern China winter precipitation variability. Clim. Dyn., 55: 2903-2919.
8.Liu, Y.*, Hu, Z.-Z., Wu, R. 2020. Was the extremely wet winter of 2018/2019 in the lower reach of the Yangtze River driven by El Niño–Southern Oscillation? Int. J. Climatol., 6441-6457. https://doi.org/10.1002/joc.6591
9.Liu, Y.*, Li, Y., Ding, Y. 2020. East Asian summer rainfall projection and uncertainty under a global warming scenario. Int. J. Climatol., 40: 4828–4842. https://doi.org/10.1002/joc.6491
10.Liu, Y.*, Ke Z, Ding Y. 2019. Predictability of East Asian summer monsoon in seasonal climate forecast models. Int. J. Climatol., 39: 5688–5701. https://doi.org/10.1002/joc.6180
11.Liu, Y.*, Hu, Z.-Z., Kumar, A. et al. 2015. Tropospheric biennial oscillation of summer monsoon rainfall over East Asia and its association with ENSO. Clim Dyn., 45: 1747-1759.
12.Liu, Y.*, Li, W, Zuo, J, et al. 2014. Simulation and projection of the western Pacific subtropical high in CMIP5 models. J. Meteor. Res., 28: 327–340. https://doi.org/10.1007/s13351- 014-3151-2.
13.Liu, Y.*, Ding, Y., Gao, H., et al. 2013. Tropospheric biennial oscillation of the western Pacific subtropical high and its relationship with the tropical SST and atmospheric circulation anomalies. Chinese Science Bulletin, 58, 3664-3672. https://doi.org/10.1007/s11434-013-5854-7

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