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姓 名:张颖
职 务
职 称:副研究员
研究方向:气候变化与预测
进所时间:0000-00-00
教育
2000.09-2004.07 南京气象学院 获学士学位 2004.09-2009.07 中国科学院大气物理研究所 获理学博士学位
研究经历

任职经历
2009.07-2012.04 中国科学院大气物理研究所,助理研究员 2012.04-至今中国科学院大气物理研究所,副研究员
研究项目

重要著作

代表著作:

1) Ma Jiehua, Wang Huijun, Zhang Ying,, 2014: Will typhoon over the western North Pacific be more frequent in the blue Arctic conditions?. Science China: Earth Sciences, 57(7), 1494-1500 <摘要>

2) Wang H. J., Jian-Qi Sun, Huo-Po Chen, Ya-Li Zhu, Ying Zhang, Da-Bang Jiang, Xian-Mei Lang, Ke Fan, En-Tao Yu, and Song Yang, 2012: Extreme Climate in China: Fact, Simulation and Projection. Meteorologische Zeitschrift, 21(3), 279-304 <摘要>

3) Ma Jiehua, Wang Huijun, Zhang Ying, 2012: Will boreal winter precipitation over China increase in the future?. The AGCM simulation under summer ‘ice-free Arctic’ conditions. China Science Bulletin, 57(8), 921-926 <摘要>

4) Zhang Y. and J. Q. Sun, , 2012: Model Projection of Precipitation minus Evaporation over China. Acta Meteor. Sinica, 26(3), 376–388 <摘要>

5) Jiang, D., Y. Zhang, and X. Lang, 2011: Vegetation feedback under future global warming. Theoretical and Applied Climatology, 106, 211–227 <摘要>

6) 马洁华, 王会军, 张颖,, 2011: 北极夏季无海冰状态时的东亚气候变化数值模拟研究. 气候变化研究进展, 7(3), 178-183 <摘要>

7) Zhang Y., H. J. Wang, J. Q. Sun, H. Drange,, 2010: Changes in the Tropical Cyclone Genesis Potential Index Over the Western North Pacific in the SRES A2 Scenario. Advances in Atmospheric Sciences, 27(6), 1246-1258 <摘要>

he Tropical Cyclone Genesis Potential Index (GPI) was employed to investigate possible impacts of global warming on tropical cyclone genesis over the western North Pacific (WNP). The outputs of 20th century climate simulation by eighteen GCMs were used to evaluate the models&rsquo; ability to reproduce tropical cyclone genesis via the GPI. The GCMs were found in general to reasonably reproduce the observed spatial distribution of genesis. Some of the models also showed ability in capturing observed temporal variation. Based on the evaluation, the models (CGCM3.1-T47 and IPSL-CM4) found to perform best when reproducing both spatial and temporal features were chosen to project future GPI. Results show that both of these models project an upward trend of the GPI under the SRES A2 scenario, however the rate of increase differs between them.

8) 张颖, 王会军, 2010, 2010: 全球变暖情景下西北太平洋地区台风活动背景场气候变化的预估. 气象学报, 68(4), 539-549 <摘要>

9) 王会军, 张颖, 郎咸梅, , 2010: 论短期气候预测的对象问题. 气候与环境研究, 15(3), 225-228 <摘要>

10) Wang H. J. and Y. Zhang, , 2010: Model Projections of East Asia Summer Climate under the “Free Arctic” Scenario. Atmospheric and Oceanic Letters, 3(3), 176-180 <摘要>

11) Jiang, D., Y. Zhang, and J. Sun, , 2009: Ensemble projection of 1–3°C warming in China. Chinese Science Bulletin, 54(18), 3326–3334 <摘要>

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