Articles | Volume 18, issue 10
https://doi.org/10.5194/acp-18-7095-2018
https://doi.org/10.5194/acp-18-7095-2018
Research article
 | 
23 May 2018
Research article |  | 23 May 2018

Vertical distribution of aerosols over the Maritime Continent during El Niño

Jason Blake Cohen, Daniel Hui Loong Ng, Alan Wei Lun Lim, and Xin Rong Chua

Related authors

The global daily High Spatial–Temporal Coverage Merged tropospheric NO2 dataset (HSTCM-NO2) from 2007 to 2022 based on OMI and GOME-2
Kai Qin, Hongrui Gao, Xuancen Liu, Qin He, Pravash Tiwari, and Jason Blake Cohen
Earth Syst. Sci. Data, 16, 5287–5310, https://doi.org/10.5194/essd-16-5287-2024,https://doi.org/10.5194/essd-16-5287-2024, 2024
Short summary
Identifying Missing Sources and Reducing NOx Emissions Uncertainty over China using Daily Satellite Data and a Mass-Conserving Method
Lingxiao Lu, Jason Blake Cohen, Kai Qin, Xiaolu Li, and Qin He
EGUsphere, https://doi.org/10.5194/egusphere-2024-1903,https://doi.org/10.5194/egusphere-2024-1903, 2024
Short summary
Surface Observation Constrained High Frequency Coal Mine Methane Emissions in Shanxi China Reveal More Emissions than Inventories, Consistency with Satellite Inversion
Fan Lu, Kai Qin, Jason Blake Cohen, Qin He, Pravash Tiwari, Wei Hu, Chang Ye, Yanan Shan, Qing Xu, Shuo Wang, and Qiansi Tu
EGUsphere, https://doi.org/10.5194/egusphere-2024-1784,https://doi.org/10.5194/egusphere-2024-1784, 2024
This preprint is open for discussion and under review for Atmospheric Chemistry and Physics (ACP).
Short summary
Quantifying CH4 emissions from coal mine aggregation areas in Shanxi, China, using TROPOMI observations and the wind-assigned anomaly method
Qiansi Tu, Frank Hase, Kai Qin, Jason Blake Cohen, Farahnaz Khosrawi, Xinrui Zou, Matthias Schneider, and Fan Lu
Atmos. Chem. Phys., 24, 4875–4894, https://doi.org/10.5194/acp-24-4875-2024,https://doi.org/10.5194/acp-24-4875-2024, 2024
Short summary
Individual coal mine methane emissions constrained by eddy covariance measurements: low bias and missing sources
Kai Qin, Wei Hu, Qin He, Fan Lu, and Jason Blake Cohen
Atmos. Chem. Phys., 24, 3009–3028, https://doi.org/10.5194/acp-24-3009-2024,https://doi.org/10.5194/acp-24-3009-2024, 2024
Short summary

Related subject area

Subject: Aerosols | Research Activity: Atmospheric Modelling and Data Analysis | Altitude Range: Troposphere | Science Focus: Physics (physical properties and processes)
The key role of atmospheric absorption in the Asian summer monsoon response to dust emissions in CMIP6 models
Alcide Zhao, Laura J. Wilcox, and Claire L. Ryder
Atmos. Chem. Phys., 24, 13385–13402, https://doi.org/10.5194/acp-24-13385-2024,https://doi.org/10.5194/acp-24-13385-2024, 2024
Short summary
Multi-model effective radiative forcing of the 2020 sulfur cap for shipping
Ragnhild Bieltvedt Skeie, Rachael Byrom, Øivind Hodnebrog, Caroline Jouan, and Gunnar Myhre
Atmos. Chem. Phys., 24, 13361–13370, https://doi.org/10.5194/acp-24-13361-2024,https://doi.org/10.5194/acp-24-13361-2024, 2024
Short summary
Representation of iron aerosol size distributions of anthropogenic emissions is critical in evaluating atmospheric soluble iron input to the ocean
Mingxu Liu, Hitoshi Matsui, Douglas S. Hamilton, Sagar D. Rathod, Kara D. Lamb, and Natalie M. Mahowald
Atmos. Chem. Phys., 24, 13115–13127, https://doi.org/10.5194/acp-24-13115-2024,https://doi.org/10.5194/acp-24-13115-2024, 2024
Short summary
Revealing dominant patterns of aerosol regimes in the lower troposphere and their evolution from preindustrial times to the future in global climate model simulations
Jingmin Li, Mattia Righi, Johannes Hendricks, Christof G. Beer, Ulrike Burkhardt, and Anja Schmidt
Atmos. Chem. Phys., 24, 12727–12747, https://doi.org/10.5194/acp-24-12727-2024,https://doi.org/10.5194/acp-24-12727-2024, 2024
Short summary
Improving estimation of a record-breaking east Asian dust storm emission with lagged aerosol Ångström exponent observations
Yueming Cheng, Tie Dai, Junji Cao, Daisuke Goto, Jianbing Jin, Teruyuki Nakajima, and Guangyu Shi
Atmos. Chem. Phys., 24, 12643–12659, https://doi.org/10.5194/acp-24-12643-2024,https://doi.org/10.5194/acp-24-12643-2024, 2024
Short summary

Cited articles

Achtemeier, G., Goodrick, S., Liu, Y., Garcia-Menendez, F., Hu, Y., and Odman, M.: Modeling smoke plume-rise and dispersion from Southern United States prescribed burns with daysmoke, Atmosphere, 2, 358–388, 2011. 
Bjornsson, H. and Venegas, S.: A Manual for EOF and SVD Analyses of Climate Data, Department of Atmospheric and Oceanic Sciences and Centre for Climate and Global Change Research, McGill University, Tech. Rep., 1997. 
Bond, T. C., Streets, D. G., Yarber, K. F., Nelson, S. M., Woo, J. H., and Klimont, Z.: A technology-based global inventory of black and organic carbon emissions from combustion, J. Geophys. Res., 109, D14203, https://doi.org/10.1029/2003JD003697, 2004. 
Briggs, G. A.: A plume rise model compared with observations. J. Air Pollut. Con. Assoc., 15, 433–438, 1965. 
Burnett, R., Pope, A., Ezzati, M., Olives, C., Lim, S., Mehta, S., Shin, H., Singh, G., Hubbell, B., Brauer, M., Anderson, R., Smith, K., Balmes, J., Bruce, N., Kan, H., Laden, F., Pruss-Ustun, A., Turner, M., Gapstur, S., Diver, R., and Cohen, A.: An Integrated Risk Function for Estimating the Global Burden of Disease Attributable to Ambient Fine Particulate Matter Exposure, Environ Health Pers., 122, https://doi.org/10.1289/ehp.1307049, 2014. 
Download
Short summary
Measured aerosol heights over the Maritime Continent are higher than previously thought, with 61 to 83 % of aerosols above the boundary layer. These aerosols should hence have a larger impact on the climate. The use of a plume rise model cannot match the measurements, unless the measured fire energy is increased by 0–60 %. Furthermore, the model is too spread, indicating the importance of including convection and aerosol–radiation interactions. Significant model improvements will be required.
Altmetrics
Final-revised paper
Preprint