J
J. Zhu
Researcher at Chinese Academy of Sciences
Publications - 6
Citations - 571
J. Zhu is an academic researcher from Chinese Academy of Sciences. The author has contributed to research in topics: Steppe & Ecosystem. The author has an hindex of 4, co-authored 6 publications receiving 469 citations.
Papers
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Journal ArticleDOI
Column aerosol optical properties and aerosol radiative forcing during a serious haze-fog month over North China Plain in 2013 based on ground-based sunphotometer measurements
Huizheng Che,Xiangao Xia,J. Zhu,Zhengqiang Li,Oleg Dubovik,Brent N. Holben,Philippe Goloub,Huansheng Chen,Victor Estellés,Emilio Cuevas-Agulló,Luc Blarel,Hong Wang,Hujia Zhao,Xiaoye Zhang,Yuhang Wang,J. Sun,R. Tao,Gaoquan Shi +17 more
TL;DR: In this paper, the authors used Cimel sunphotometer measurements at seven sites over rural, suburban and urban regions of North China Plain from 1 to 30 January 2013 were used to further understand of spatial-temporal variation of aerosol optical parameters and aerosol radiative forcing (ARF).
Journal ArticleDOI
Ground-based aerosol climatology of China: aerosol optical depths from the China Aerosol Remote Sensing Network (CARSNET) 2002–2013
Huizheng Che,Xiaoye Zhang,Xiangao Xia,Xiangao Xia,Philippe Goloub,Brent N. Holben,Hujia Zhao,Yuhang Wang,Xiaochun Zhang,Hong Wang,Luc Blarel,Bahaiddin Damiri,Rong Zhang,X. Deng,Yan Ma,Tijian Wang,F. Geng,Bing Qi,J. Zhu,Jian Zhen Yu,Quanliang Chen,Gaoquan Shi +21 more
TL;DR: In this article, long-term measurements of aerosol optical depths (AODs) at 440 nm and Angstrom exponents (AE) between 440 and 870 nm made for CARSNET were compiled into a climatology of airborne optical properties for China.
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An Ensemble Kalman Filter for severe dust storm data assimilation over China
Caiyan Lin,Z.G. Wang,J. Zhu +2 more
TL;DR: In this article, an Ensemble Kalman Filter (EnKF) data assimilation system was developed for a regional dust transport model to investigate modeling of severe dust storm episodes occurring in March 2002 over China based on surface observations of dust concentrations.
Journal ArticleDOI
Simulating the spatiotemporal variations in aboveground biomass in Inner Mongolian grasslands under environmental changes
Guocheng Wang,Zhongkui Luo,Yao Huang,Wenjuan Sun,Yurong Wei,Liujun Xiao,Xi Deng,J. Zhu,Tingting Li,Wen Zhang +9 more
TL;DR: In this article, a machine-learning-based approach was used to map annual AGB (from 1981 to 2100) across the Inner Mongolian grasslands at the spatial resolution of 1 km, and the projected changes in AGB showed large spatial and temporal disparities across different grassland types and RCP scenarios.
Journal ArticleDOI
Improved simulation of regional CO 2 surface concentrations using GEOS-Chem and fluxes from VEGAS
Zhenyi Chen,J. Zhu,Ning Zeng +2 more
TL;DR: In this paper, the authors compared the regional CO2 concentrations between model results with biospheric fluxes from the Carnegie-Ames-Stanford Approach (CASA) and VEgetation-Global-Atmosphere-Soil (VEGAS) models, and used observations from GLOBALVIEW-CO2 to evaluate the regional model results.