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姓 名:于恩涛
职 务
职 称:副研究员
研究方向:区域气候模拟与预估,古气候动力降尺度
进所时间:0000-00-00
教育
2001-2008 新疆大学资源与环境科学学院,地理学学士,生态学硕士。 2008-2011 中科院大气物理研究所,气象学理学博士。
研究经历
2011- 中国科学院大气物理研究所
任职经历

研究项目

重要著作

代表著作:

1) Yu Entao, Sun Jianqi, Chen Huopo, Xiang Weiling, 2015: Evaluation of a high‑resolution historical simulation over China: climatology and extremes. Climate Dynamics, 45, 2013–2031 <摘要> PDF

China faces an increasing challenge in water resources in the coming decades; thus high-confidence climate projection is of particular importance for the country&rsquo;s future. In this paper, we evaluate the performance of a long high-resolution continuous simulation over China based on multiple observations and the corresponding historical simulation. The simulation is completed by using the Weather Research and Forecasting (WRF) model driven by the Model for Interdisciplinary Research on Climate version 5 (MIROC5) in the context of the Coupled Model Intercomparison Project Phase 5 (CMIP5). The results show that both MIROC5 and WRF can capture the distribution and variability of temperature over China, whereas WRF shows improvements, particularly for simulation of regional features. Compared with MIROC5, WRF can reproduce the spatial distribution, annual cycle, probability distribution, and seasonal evolution of the precipitation over mainland China and the sub-regions with better performance. The trend is of fundamental importance in the future projection estimations, and WRF shows better skill in simulating the annual mean precipitation trend. However, there is overestimation of precipitation in Southeast China while negative one in the middle latitude of China in WRF simulation, which can be traced back to model bias in atmospheric circulation and water vapor transportation in these regions. Several extreme climate indices are selected to further assess the model&rsquo;s performance in simulating climate extremes, WRF can well reproduce the main features with better model skill compared with MIROC5. The better performance of WRF indicates the necessity of the dynamical downscaling technique and the robustness of regional climate simulation in future regional climate projection.

2) Yu Entao, Xiang Weiling, 2015: Projected Climate Change in the Northwestern Arid Regions of China: An Ensemble of Regional Climate Model Simulations. Atmospheric and Oceanic Science Letters, 8 (3), 134-142 <摘要> PDF

3) 于恩涛,孙建奇,吕光辉,陈活泼,向伟玲 , 2015: 西部干旱区未来气候变化高分辨率预估. 干旱区地理, 38(3), 429-437 <摘要> PDF

<span style="color: rgb(51, 51, 51); font-family: tahoma, arial; font-size: 14px;">利用高分辨率区域气候模式WRF,基于CMIP5计划中MIROC5输出结果,进行了我国高分辨率(30 km)的历史模拟及未来预估。针对我国西部干旱区,在模式验证的基础上分析了该区域未来气温和降水的变化。历史模拟结果显示WRF对我国西部干旱区有较好的模拟能力,模拟结果较MIROC5有明显改进。21世纪西部干旱区将持续增暖,末期的增温幅度明显高于中期。和全国平均相比,西部干旱区21世纪增温幅度高于全国平均水平。空间分布上,年平均气温变化的主要特征是新疆南部增温高于新疆北部,山区的增温高于盆地。气温季节变化主要表现为夏季增温集中在山区,而冬季增温则更多集中在盆地。西部干旱区降水在21世纪总体呈现减少趋势,夏季降水减少更为明显,这和全国平均的降水增加并不一致。空间分布上,降水变化的主要特征是山区降水减少,其中夏季山区降水减少十分明显,而盆地降水则略有增加。</span>

4) Yu Entao, Wang Tao, Gao Yongqi, Xiang Weiling, 2014: Precipitation Pattern of the Mid-Holocene Simulated by a High-Resolution Regional Climate Model. Adv. Atmos. Sci., 31, 4 <摘要> PDF

Early proxy-based studies suggested that there potentially occurred a “southern drought/northern flood” (SDNF) over East China in the mid-Holocene (from roughly 7000 to 5000 years before present). In this study, we used both global and regional atmospheric circulation models to demonstrate that the SDNF—namely, the precipitation increases over North China and decreases over the the lower reaches of the Yangtze River Valley—could have taken place in the mid-Holocene.
We found that the SDNF in the mid-Holocene was likely caused by the lower SST in the Pacific. The lowered SST and the higher air temperature over mainland China increased the land–sea thermal contrast and, as a result, strengthened the East Asian summer monsoon and enhanced the precipitation over North China.

5) Zhang, R., D. Jiang, Z. Zhang, and E. T. Yu, 2014: The impact of regional uplift of the Tibetan Plateau on the Asian monsoon climate. Palaeogeography Palaeoclimatology Palaeoecology, 417, 137-150 <摘要>

<strong>青藏高原不同区域隆升对亚洲季风气候的影响</strong><br /> &nbsp;<br /> 青藏高原隆升的气候效应是古气候研究中的热点问题。以往研究中多将青藏高原作为一个整体来进行考虑,但越来越多的地质证据表明,青藏高原的不同区域存在隆升时间上的差异,所以有必要对青藏高原不同区域隆升的气候效应进行深入研究。虽然已有一些关注高原区域隆升的文章,但这些文章对青藏高原的区域划分较粗,没有划分出高原的东部和西部,并且仅仅关注了对夏季气候的影响。<br /> 基于此:本文就两个科学问题进行了研究:<br /> 1)青藏高原的东部和西部的隆升气候效应是什么?<br /> 2)青藏高原那些区域的隆升对东亚冬季风演变的影响更大?<br /> 模拟结果显示,对于南亚夏季风来说,喜马拉雅以及高原中南部的隆升对南亚夏季降水的增加影响较小。而高原东部和西部的进一步隆升对南亚夏季风的增强有显著作用。高原东部隆升后,由于地形的阻挡,在孟加拉湾地区低层产生异常的气旋性环流,同时上升运动增强,从而有利于区域降水的形成。而高原西部的隆起进一步增强了隆升区周围的气旋性环流,使得来自海洋的水汽输送增加,所以区域降水也出现增加。<br /> 对于东亚冬季风。模拟结果显示东亚冬季风的增强与青藏高原特定区域的隆升密切相关。其中,高原中南部、高原北部以及其他北部地形对东亚冬季风的增强有更为重要的作用,而其他区域的隆升作用较小。<br /> 引用格式:Zhang, R., D. Jiang, Z. Zhang, and E. T. Yu, 2015: The impact of regional uplift of the Tibetan Plateau on the Asian monsoon climate. <em>Palaeogeography Palaeoclimatology Palaeoecology</em>, <strong>417</strong>, 137&ndash;150.<br /> 正文下载地址:<a href="http://www.sciencedirect.com/science/article/pii/S0031018214005458">http://www.sciencedirect.com/science/article/pii/S0031018214005458</a><br />

6) Yu Entao, Wang Huijun, Sun Jianqi and Gao Yongqi, 2013: Climatic response to changes in vegetation in the Northwest Hetao Plain as simulated by the WRF model. 33, 33, International Journal of Climatology <摘要>

7) Yu Entao, 2013: High-resolution seasonal snowfall simulation over Northeast China. Chinese Science Bulletin, 58, 1412-1419 <摘要>

8) 王树舟,于恩涛, 2013: 基于MIROC/WRF嵌套模式的中国气候变化预估. 气候与环境研究, , <摘要>

9) Yu Entao, Sun Jianqi and Xiang Weiling, 2013: High-Resolution Hindcast of Record-Breaking Rainfall in Beijing and Impact of Topography. Atmospheric and Oceanic Science Letters, 6, <摘要>


10) Wang Shuzhou, Yu Entao, Wang Huijun, 2012: A simulation study of a heavy rainfall process over the Yangtze River valley using the two-way nesting approach. Advances in Atmospheric Sciences, 29, 731-743 <摘要>

11) Yu Entao, Wang Huijun, Gao Yongqi, Sun Jianqi, 2011: Impacts of Cumulus Convective Parameterization Schemes on Summer Monsoon Precipitation Simulation over China. Acta Meteorologica Sinica, 25, <摘要>

12) Wang Huijun, Yu Entao and Yang Song, 2011: An exceptionally heavy snowfall in Northeast china: large-scale circulation anomalies and hindcast of the NCAR WRF model. Meteorology and Atmospheric Physics, 113, 11-25 <摘要>

13) Yu Entao, Wang Huijun, and Sun Jianqi, 2010: A Quick Report on a Dynamical Downscaling Simulation over China Using the Nested Model. tmospheric and Oceanic Science Letters, 3, 325-329 <摘要>

14) 于恩涛,向伟玲,师庆东,常顺利,吕光辉, 2009: 艾比湖流域大气水汽时空分布特征及收支. 干旱区地理, 32, <摘要>

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