D
D. Chen
Researcher at China Meteorological Administration
Publications - 29
Citations - 1524
D. Chen is an academic researcher from China Meteorological Administration. The author has contributed to research in topics: Weather Research and Forecasting Model & Aerosol. The author has an hindex of 19, co-authored 28 publications receiving 1238 citations. Previous affiliations of D. Chen include National Center for Atmospheric Research & Joint Institute for Nuclear Research.
Papers
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Journal ArticleDOI
Nitrogen Deposition to the United States: Distribution, Sources, and Processes
Lin Zhang,Daniel J. Jacob,Eladio M. Knipping,Naresh Kumar,J. W. Munger,C. Carouge,A. van Donkelaar,Yuxuan Wang,D. Chen +8 more
TL;DR: In this paper, the GEOS-Chem global chemical transport model was used to simulate nitrogen deposition over the US in 2006-2008 by using 1/2°×2/3° horizontal resolution over North America and adjacent oceans.
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Growth in NO x emissions from power plants in China: bottom-up estimates and satellite observations
Siwen Wang,Qiang Zhang,David G. Streets,Kebin He,Randall V. Martin,Randall V. Martin,Lok N. Lamsal,Lok N. Lamsal,D. Chen,Yu Lei,Zifeng Lu +10 more
TL;DR: Using OMI (Ozone monitoring instrument) tropospheric NO2 columns and a nested-grid 3-D global chemical transport model (GEOS-Chem), this article investigated the growth in NOx emissions from coal-fired power plants and their contributions to the growth of NO2 column in 2005-2007 in China.
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Carbonaceous aerosols in China: top-down constraints on primary sources and estimation of secondary contribution
Tzung-May Fu,J. J. Cao,Xiaoye Zhang,Shuncheng Lee,Qiang Zhang,Yongming Han,W. J. Qu,Zhiwei Han,Renjian Zhang,Yuxuan Wang,D. Chen,Daven K. Henze +11 more
TL;DR: In this paper, the authors compared the top-down emission estimates of elemental carbon (EC) and organic carbon (OC) aerosols in China and compared model results to surface measurements at Chinese rural and background sites, with the goal of deriving "top-down" emission estimates and better quantifying the secondary sources of OC.
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Estimating PM2.5 in Xi'an, China using aerosol optical depth: a comparison between the MODIS and MISR retrieval models.
TL;DR: Seasonal analysis showed that the MODIS and MISR models had overall comparable predictability of ground-level PM2.5 concentration, with the MISR model having a higher correlation coefficient (R) and thus giving a better fit in all seasons, and there was a significant improvement in correlation coefficient when using the nonlinear multiple regression model.
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Simulations of sulfate–nitrate–ammonium (SNA) aerosols during the extremehaze events over northern China in October 2014
TL;DR: In this article, the performance of one configuration of the Weather Research and Forecasting model coupled with chemistry (WRF-Chem) and use the model to investigate the sensitivity of heterogeneous reactions on simulated peak sulfate, nitrate, and ammonium concentrations in the vicinity of Beijing during four extreme haze episodes in October 2014 over the North China Plain.