13 Papers
32 Citations
Yueming Cheng is an academic researcher from Nanjing University of Information Science and Technology. The author has contributed to research in topics: Aerosol & AERONET. The author has an hindex of 7, co-authored 13 publications. Previous affiliations of Yueming Cheng include Chinese Academy of Sciences & Nanjing University.
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Papers
Evolution of aerosol chemistry in Xi'an, inland China, during the dust storm period of 2013 – Part 1: Sources, chemical forms and formation mechanisms of nitrate and sulfate
Gehui Wang,Gehui Wang,Chunlei Cheng,Yu Huang,Jun Tao,Yanqin Ren,Fangkun Wu,Jingjing Meng,Jianjun Li,Yueming Cheng,J. J. Cao,Sijin Liu,Ting Zhang,Rong Zhang,Yunfa Chen +14 more
TL;DR: In this article, a total suspended particulate (TSP) sample was collected hourly in Xi'an, an inland megacity of China near the Loess Plateau, during a dust storm event of 2013 (9 March 18:00−12 March 10:00 LT), along with a size-resolved aerosol sampling and an online measurement of PM2.5.
Investigating the assimilation of CALIPSO global aerosol vertical observations using a four-dimensional ensemble Kalman filter
Yueming Cheng,Yueming Cheng,Tie Dai,Tie Dai,Daisuke Goto,Nick Schutgens,Guangyu Shi,Guangyu Shi,Teruyuki Nakajima +8 more
TL;DR: In this paper, the authors used a four-dimensional local ensemble transform Kalman filter (4-D LETKF) to estimate the vertical information of aerosol vertical distribution in the ICosahedral NICAM online coupled with the Spectral Radiation Transport Model for Aerosol Species (SPRINTARS).
Revealing the sulfur dioxide emission reductions in China by assimilating surface observations in WRF-Chem
Tie Dai,Tie Dai,Yueming Cheng,Yueming Cheng,Daisuke Goto,Yingruo Li,Xiao Tang,Guangyu Shi,Guangyu Shi,Teruyuki Nakajima +9 more
TL;DR: In this article, the authors developed a new emission inversion system based on a four-dimensional local ensemble transform Kalman filter (4D-LETKF) and the weather research and forecasting model coupled with chemistry to dynamically update the SO2 emission grid by grid over China by assimilating the ground-based hourly SO2 observations.
Impacts of meteorological nudging on the global dust cycle simulated by NICAM coupled with an aerosol model
Tie Dai,Tie Dai,Yueming Cheng,Peng Zhang,Guangyu Shi,Guangyu Shi,Miho Sekiguchi,Kentaroh Suzuki,Daisuke Goto,Teruyuki Nakajima +9 more
TL;DR: In this paper, the authors present simulations of the global dust cycle for present day conditions using a new dust-atmosphere model based on the Non-hydrostatic Icosahedral Atmospheric Model (NICAM) coupled with the Spectral Radiation Transport Model for Aerosol Species (SPRINTARS).
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Inverting the east Asian dust emission fluxes using the ensemble Kalman smoother and Himawari-8 AODs : A case study with WRF-Chem v3.5.1
Tie Dai,Yueming Cheng,Daisuke Goto,Nick Schutgens,Maki Kikuchi,Mayumi Yoshida,Guangyu Shi,Teruyuki Nakajima +7 more
TL;DR: In this paper, the inversion system based on a fixed-lag ensemble Kalman smoother is newly implemented in the Weather Research and Forecasting model and is coupled with chemistry (WRF-Chem), and the assimilated observations are the hourly aerosol optical depths from the next-generation geostationary satellite Himawari-8.
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