B
Bingcheng Wan
Researcher at Chinese Academy of Sciences
Publications - 10
Citations - 124
Bingcheng Wan is an academic researcher from Chinese Academy of Sciences. The author has contributed to research in topics: Precipitation & Climate change. The author has an hindex of 4, co-authored 7 publications receiving 70 citations.
Papers
More filters
Journal ArticleDOI
Impact of aerosols on precipitation from deep convective clouds in eastern China
TL;DR: In this article, the authors analyzed the impact of aerosols on precipitation based on 3-hourly observations made in heavily polluted eastern China and calculated the probability of precipitation from different cloud types using International Satellite Cloud Climatology Project cloud data and gauge-based hourly precipitation data.
Journal ArticleDOI
Seasonal and Interannual Variations of Carbon Exchange over a Rice-Wheat Rotation System on the North China Plain
TL;DR: In this paper, the authors analyzed long-term, continuous flux measurements of CO2 fluxes and meteorological variables over an R-W rotation system on the North China Plain from 2007 to 2010 were analyzed.
Journal ArticleDOI
Retrieval of Cloud Condensation Nuclei Number Concentration Profiles From Lidar Extinction and Backscatter Data
Min Lv,Zhien Wang,Zhanqing Li,Zhanqing Li,Tao Luo,Richard Ferrare,Dong Liu,Decheng Wu,Jietai Mao,Bingcheng Wan,Fang Zhang,Yuying Wang +11 more
TL;DR: In this article, the authors developed an algorithm for profiling CCN number concentrations using backscatter coefficients at 355, 532, and 1064 nm and extinction coefficient at 355 and 532 nm from multi-wavelength lidar systems.
Journal ArticleDOI
Potential influences of neglecting aerosol effects on the NCEP GFS precipitation forecast
Mengjiao Jiang,Jinqin Feng,Zhanqing Li,Ruiyu Sun,Yu-Tai Hou,Yuejian Zhu,Bingcheng Wan,Jianping Guo,Maureen Cribb +8 more
TL;DR: In this article, the authors evaluated the potential impact of neglecting ACI on the operational rainfall forecast using ground-based and satellite observations and model reanalysis, and found that the overestimation of light rain (47.84%) and underestimation of heavier rain (31.83, 52.94, and 65.74%) from the model are qualitatively consistent with the potential errors arising from not accounting for ACI.
Journal ArticleDOI
Asymmetric and heterogeneous frequency of high and low record‐breaking temperatures in China as an indication of warming climate becoming more extreme
TL;DR: In this paper, the observed and model-projected high/low record behaviors in China, with a particular focus on an anomalous cooling region sometimes termed "warming hole", were evaluated.