Articles | Volume 18, issue 10
https://doi.org/10.5194/acp-18-7095-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/acp-18-7095-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
23 May 2018
Research article |
| 23 May 2018
Vertical distribution of aerosols over the Maritime Continent during El Niño
School of Atmospheric Sciences, Sun Yat-Sen University, Guangzhou,
China
Guangdong Province Key Laboratory for Climate Change and Natural Disaster Studies, Sun Yat-sen University, Guangzhou,
China
Daniel Hui Loong Ng
Tropical Marine Science Institute, National University of Singapore,
Singapore
Alan Wei Lun Lim
The Chinese University of Hong Kong, Hong Kong, China
Xin Rong Chua
Princeton University, Princeton, NJ, USA
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Jianping Guo, Jian Zhang, Jia Shao, Tianmeng Chen, Kaixu Bai, Yuping Sun, Ning Li, Jingyan Wu, Rui Li, Jian Li, Qiyun Guo, Jason B. Cohen, Panmao Zhai, Xiaofeng Xu, and Fei Hu
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Atmos. Meas. Tech., 16, 2237–2262, https://doi.org/10.5194/amt-16-2237-2023, https://doi.org/10.5194/amt-16-2237-2023, 2023
Short summary
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Four-year TROPOMI observations are used to derive tropospheric NO2 emissions in two mega(cities) with high anthropogenic activity. Wind-assigned anomalies are calculated, and the emission rates and spatial patterns are estimated based on a machine learning algorithm. The results are in reasonable agreement with previous studies and the inventory. Our method is quite robust and can be used as a simple method to estimate the emissions of NO2 as well as other gases in other regions.
Shuo Wang, Jason Blake Cohen, Chuyong Lin, and Weizhi Deng
Atmos. Chem. Phys., 20, 15401–15426, https://doi.org/10.5194/acp-20-15401-2020, https://doi.org/10.5194/acp-20-15401-2020, 2020
Short summary
Short summary
We analyze global measurements of aerosol height from fires. A plume rise model reproduces measurements with a low bias in five regions, while a statistical model based on satellite measurements of trace gasses co-emitted from the fires reproduces measurements without bias in eight regions. We propose that the magnitude of the pollutants emitted may impact their height and subsequent downwind transport. Using satellite data allows better modeling of the global aerosol distribution.
C. Y. Lin, S. Wang, and J. B. Cohen
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-3-W9, 119–123, https://doi.org/10.5194/isprs-archives-XLII-3-W9-119-2019, https://doi.org/10.5194/isprs-archives-XLII-3-W9-119-2019, 2019
S. Wang, C. Y. Lin, and J. B. Cohen
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-3-W9, 165–170, https://doi.org/10.5194/isprs-archives-XLII-3-W9-165-2019, https://doi.org/10.5194/isprs-archives-XLII-3-W9-165-2019, 2019
C. Lin and J. Cohen
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Jason Blake Cohen, Eve Lecoeur, and Daniel Hui Loong Ng
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Short summary
Short summary
This study highlights the importance of taking into account a simultaneous use of land use, fire and precipitation for understanding the impacts of fires on the atmospheric loading and distribution of aerosols in Southeast Asia over both space and time. Also, it highlights that there are significant advantages of using 8-day and monthly average values (instead of daily data) in order to better quantify the magnitude and timing of the inter- and intra-annual variance of Southeast Asian fires.
Weihua Chen, Xuemei Wang, Jason Blake Cohen, Shengzhen Zhou, Zhisheng Zhang, Ming Chang, and Chuen-Yu Chan
Atmos. Chem. Phys., 16, 13271–13289, https://doi.org/10.5194/acp-16-13271-2016, https://doi.org/10.5194/acp-16-13271-2016, 2016
Short summary
Short summary
Measurements of size-resolved aerosols (0.25–18 μm) were conducted at three sites (urban, suburban and background sites) in southern China during monsoon season (May–June) in 2010 aqueous-phase reaction was the main formation pathway of droplet mode sulfate. New particle formation, chemical aging, and long-range transport from upwind urban or biomass burning regions were also found to be important in at least some of the sights on some of the sampling days.
Related subject area
Subject: Aerosols | Research Activity: Atmospheric Modelling and Data Analysis | Altitude Range: Troposphere | Science Focus: Physics (physical properties and processes)
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Climate change and pollution have intensified pollen allergies. We developed a pollen emissions model using phenology and random forests. Key factors affecting annual pollen emissions include temperature, relative humidity and sunshine hours. Pollen dispersal starts around 10 August, peaks around 30 August and ends by 25 September, lasting about 45 d. Over time, annual pollen emissions exhibit significant fluctuations and a downward trend.
Ruth A. R. Digby, Knut von Salzen, Adam H. Monahan, Nathan P. Gillett, and Jiangnan Li
Atmos. Chem. Phys., 25, 3109–3130, https://doi.org/10.5194/acp-25-3109-2025, https://doi.org/10.5194/acp-25-3109-2025, 2025
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The refractive index of black carbon (BCRI), which determines how much energy black carbon absorbs and scatters, is difficult to measure, and different climate models use different values. We show that varying the BCRI across commonly used values can increase absorbing aerosol optical depth by 42 % and the warming effect from interactions between black carbon and radiation by 47 %, an appreciable fraction of the overall spread between models reported in recent literature assessments.
Hector Navarro-Barboza, Jordi Rovira, Vincenzo Obiso, Andrea Pozzer, Marta Via, Andres Alastuey, Xavier Querol, Noemi Perez, Marjan Savadkoohi, Gang Chen, Jesus Yus-Díez, Matic Ivancic, Martin Rigler, Konstantinos Eleftheriadis, Stergios Vratolis, Olga Zografou, Maria Gini, Benjamin Chazeau, Nicolas Marchand, Andre S. H. Prevot, Kaspar Dallenbach, Mikael Ehn, Krista Luoma, Tuukka Petäjä, Anna Tobler, Jaroslaw Necki, Minna Aurela, Hilkka Timonen, Jarkko Niemi, Olivier Favez, Jean-Eudes Petit, Jean-Philippe Putaud, Christoph Hueglin, Nicolas Pascal, Aurélien Chauvigné, Sébastien Conil, Marco Pandolfi, and Oriol Jorba
Atmos. Chem. Phys., 25, 2667–2694, https://doi.org/10.5194/acp-25-2667-2025, https://doi.org/10.5194/acp-25-2667-2025, 2025
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Brown carbon (BrC) absorbs ultraviolet (UV) and visible light, influencing climate. This study explores BrC's imaginary refractive index (k) using data from 12 European sites. Residential emissions are a major organic aerosol (OA) source in winter, while secondary organic aerosol (SOA) dominates in summer. Source-specific k values were derived, improving model accuracy. The findings highlight BrC's climate impact and emphasize source-specific constraints in atmospheric models.
Yuzhi Jin, Jiandong Wang, Chao Liu, David C. Wong, Golam Sarwar, Kathleen M. Fahey, Shang Wu, Jiaping Wang, Jing Cai, Zeyuan Tian, Zhouyang Zhang, Jia Xing, Aijun Ding, and Shuxiao Wang
Atmos. Chem. Phys., 25, 2613–2630, https://doi.org/10.5194/acp-25-2613-2025, https://doi.org/10.5194/acp-25-2613-2025, 2025
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Black carbon (BC) affects climate and the environment, and its aging process alters its properties. Current models, like WRF-CMAQ, lack full accounting for it. We developed the WRF-CMAQ-BCG model to better represent BC aging by introducing bare and coated BC species and their conversion. The WRF-CMAQ-BCG model introduces the capability to simulate BC mixing states and bare and coated BC wet deposition, and it improves the accuracy of BC mass concentration and aerosol optics.
Zhe Song, Shaocai Yu, Pengfei Li, Ningning Yao, Lang Chen, Yuhai Sun, Boqiong Jiang, and Daniel Rosenfeld
Atmos. Chem. Phys., 25, 2473–2494, https://doi.org/10.5194/acp-25-2473-2025, https://doi.org/10.5194/acp-25-2473-2025, 2025
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Our results with injected sea salt aerosols for five open oceans show that sea salt aerosols with low injection amounts dominate shortwave radiation, mainly through indirect effects. As indirect aerosol effects saturate with increasing injection rates, direct effects exceed indirect effects. This implies that marine cloud brightening is best implemented in areas with extensive cloud cover, while aerosol direct scattering effects remain dominant when clouds are scarce.
Danny M. Leung, Jasper F. Kok, Longlei Li, David M. Lawrence, Natalie M. Mahowald, Simone Tilmes, and Erik Kluzek
Atmos. Chem. Phys., 25, 2311–2331, https://doi.org/10.5194/acp-25-2311-2025, https://doi.org/10.5194/acp-25-2311-2025, 2025
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This study derives a gridded dust emission dataset for 1841–2000 by employing a combination of observed dust from core records and reanalyzed global dust cycle constraints. We evaluate the ability of global models to replicate the observed historical dust variability by using the emission dataset to force a historical simulation in an Earth system model. We show that prescribing our emissions forces the model to better match observations than other mechanistic models.
Hongyu Liu, Bo Zhang, Richard H. Moore, Luke D. Ziemba, Richard A. Ferrare, Hyundeok Choi, Armin Sorooshian, David Painemal, Hailong Wang, Michael A. Shook, Amy Jo Scarino, Johnathan W. Hair, Ewan C. Crosbie, Marta A. Fenn, Taylor J. Shingler, Chris A. Hostetler, Gao Chen, Mary M. Kleb, Gan Luo, Fangqun Yu, Mark A. Vaughan, Yongxiang Hu, Glenn S. Diskin, John B. Nowak, Joshua P. DiGangi, Yonghoon Choi, Christoph A. Keller, and Matthew S. Johnson
Atmos. Chem. Phys., 25, 2087–2121, https://doi.org/10.5194/acp-25-2087-2025, https://doi.org/10.5194/acp-25-2087-2025, 2025
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We use the GEOS-Chem model to simulate aerosol distributions and properties over the western North Atlantic Ocean (WNAO) during the winter and summer deployments in 2020 of the NASA ACTIVATE mission. Model results are evaluated against aircraft, ground-based, and satellite observations. The improved understanding of life cycle, composition, transport pathways, and distribution of aerosols has important implications for characterizing aerosol–cloud–meteorology interactions over WNAO.
Mingrui Ma, Jiachen Cao, Dan Tong, Bo Zheng, and Yu Zhao
Atmos. Chem. Phys., 25, 2147–2166, https://doi.org/10.5194/acp-25-2147-2025, https://doi.org/10.5194/acp-25-2147-2025, 2025
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We combined two global climate change pathways and three national emission control scenarios to analyze the future evolution of reactive nitrogen (Nr) deposition till the 2060s in China with air quality modeling. We show China’s clean air and carbon neutrality policies would overcome the adverse effects of climate change and efficiently reduce Nr deposition. The outflow of Nr fluxes from mainland China to the west Pacific would also be clearly reduced from continuous stringent emission controls.
Zhouyang Zhang, Jiandong Wang, Jiaping Wang, Nicole Riemer, Chao Liu, Yuzhi Jin, Zeyuan Tian, Jing Cai, Yueyue Cheng, Ganzhen Chen, Bin Wang, Shuxiao Wang, and Aijun Ding
Atmos. Chem. Phys., 25, 1869–1881, https://doi.org/10.5194/acp-25-1869-2025, https://doi.org/10.5194/acp-25-1869-2025, 2025
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Black carbon (BC) exerts notable warming effects. We use a particle-resolved model to investigate the long-term behavior of the BC mixing state, revealing its compositions, coating thickness distribution, and optical properties all stabilize with a characteristic time of less than 1 d. This study can effectively simplify the description of the BC mixing state, which facilitates the precise assessment of the optical properties of BC aerosols in global and chemical transport models.
Shuangqin Yang, Yusi Liu, Li Chen, Nan Cao, Jing Wang, and Shuang Gao
EGUsphere, https://doi.org/10.5194/egusphere-2024-3705, https://doi.org/10.5194/egusphere-2024-3705, 2025
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Black carbon, primary brown carbon, and secondary brown carbon are the leading light-absorbing carbonaceous aerosols (LACs) that contribute significantly to climate change. We modified the GEOS-Chem model to simulate the climate change by LACs based on local emission inventory, and explored the impacts of LACs properties and atmospheric variables on the corresponding DRFs in seven regions of China. The study confirms the warming effect of LACs and deepens our knowledge of their climatic effects.
Qianyi Huo, Zhicong Yin, Xiaoqing Ma, and Huijun Wang
Atmos. Chem. Phys., 25, 1711–1724, https://doi.org/10.5194/acp-25-1711-2025, https://doi.org/10.5194/acp-25-1711-2025, 2025
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Dust days during the spring seasons of 2015–2023 in North China were classified into Mongolian cyclone and cold high types depending on the presence of the Mongolian cyclone. The Mongolian cyclone type led to more frequent and severe dust weather, indicated by PM10 concentrations. To comprehensively forecast the two types of dust weather, a common predictor was established based on 500 hPa anomalous circulation systems, offering insights for dust weather forecasting and climate prediction.
Mariya Petrenko, Ralph Kahn, Mian Chin, Susanne E. Bauer, Tommi Bergman, Huisheng Bian, Gabriele Curci, Ben Johnson, Johannes W. Kaiser, Zak Kipling, Harri Kokkola, Xiaohong Liu, Keren Mezuman, Tero Mielonen, Gunnar Myhre, Xiaohua Pan, Anna Protonotariou, Samuel Remy, Ragnhild Bieltvedt Skeie, Philip Stier, Toshihiko Takemura, Kostas Tsigaridis, Hailong Wang, Duncan Watson-Parris, and Kai Zhang
Atmos. Chem. Phys., 25, 1545–1567, https://doi.org/10.5194/acp-25-1545-2025, https://doi.org/10.5194/acp-25-1545-2025, 2025
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We compared smoke plume simulations from 11 global models to each other and to satellite smoke amount observations aimed at constraining smoke source strength. In regions where plumes are thick and background aerosol is low, models and satellites compare well. However, the input emission inventory tends to underestimate in many places, and particle property and loss rate assumptions vary enormously among models, causing uncertainties that require systematic in situ measurements to resolve.
Yongqing Bai, Tianliang Zhao, Kai Meng, Yue Zhou, Jie Xiong, Xiaoyun Sun, Lijuan Shen, Yanyu Yue, Yan Zhu, Weiyang Hu, and Jingyan Yao
Atmos. Chem. Phys., 25, 1273–1287, https://doi.org/10.5194/acp-25-1273-2025, https://doi.org/10.5194/acp-25-1273-2025, 2025
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We proposed a composite statistical method to identify the quasi-weekly oscillation (QWO) of regional PM2.5 transport over China in winter from 2015 to 2019. The QWO of regional PM2.5 transport is constrained by synoptic-scale disturbances of the East Asian winter monsoon circulation with the periodic activities of the Siberian high, providing a new insight into the understanding of regional pollutant transport with meteorological drivers in atmospheric environment changes.
Léo Clauzel, Sandrine Anquetin, Christophe Lavaysse, Gilles Bergametti, Christel Bouet, Guillaume Siour, Rémy Lapere, Béatrice Marticorena, and Jennie Thomas
Atmos. Chem. Phys., 25, 997–1021, https://doi.org/10.5194/acp-25-997-2025, https://doi.org/10.5194/acp-25-997-2025, 2025
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Solar energy production in West Africa is set to rise and needs accurate solar radiation estimates which are affected by desert dust. This work analyses a March 2021 dust event using a modelling strategy incorporating desert dust. Results show that considering desert dust cuts errors in solar radiation estimates by 75 % and reduces surface solar radiation by 18 %. This highlights the importance of incorporating dust aerosols into solar forecasting for better accuracy.
Pan Wang, Yue Zhao, Jiandong Wang, Veli-Matti Kerminen, Jingkun Jiang, and Chenxi Li
EGUsphere, https://doi.org/10.5194/egusphere-2024-3666, https://doi.org/10.5194/egusphere-2024-3666, 2025
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We developed a numerical model to explore how the charge state of newly formed atmospheric particles evolves during growth and how this relates to ion-induced nucleation rates. We identify the governing factors of particle charging and further apply neural networks to predict particle charge states and estimate ion induced nucleation rates. This study offers insights into particle charging dynamics and introduces new methods for assessing ion induced nucleation in atmospheric research.
Zining Yang, Qiuyan Du, Qike Yang, Chun Zhao, Gudongze Li, Zihan Xia, Mingyue Xu, Renmin Yuan, Yubin Li, Kaihui Xia, Jun Gu, and Jiawang Feng
EGUsphere, https://doi.org/10.5194/egusphere-2024-3890, https://doi.org/10.5194/egusphere-2024-3890, 2025
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This study investigates the impact of turbulent mixing on black carbon (BC) concentrations in urban areas using WRF-Chem at 25, 5, and 1 km resolutions. Significant variations in BC and turbulent mixing occur mainly at night. Higher resolutions reduce BC overestimation due to enhanced PBL mixing coefficients and vertical wind fluxes. Small-scale eddies at higher resolutions increase BC lifetime and column concentrations. Land use and terrain variations across multi-resolutions affect PBL mixing.
Ross J. Herbert, Alberto Sanchez-Marroquin, Daniel P. Grosvenor, Kirsty J. Pringle, Stephen R. Arnold, Benjamin J. Murray, and Kenneth S. Carslaw
Atmos. Chem. Phys., 25, 291–325, https://doi.org/10.5194/acp-25-291-2025, https://doi.org/10.5194/acp-25-291-2025, 2025
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Aerosol particles that help form ice in clouds vary in number and type around the world and with time. However, in many weather and climate models cloud ice is not linked to aerosols that are known to nucleate ice. Here we report the first steps towards representing ice-nucleating particles within the UK Earth System Model. We conclude that in addition to ice nucleation by sea spray and mineral components of soil dust, we also need to represent ice nucleation by the organic components of soils.
Ryan Schmedding and Andreas Zuend
Atmos. Chem. Phys., 25, 327–346, https://doi.org/10.5194/acp-25-327-2025, https://doi.org/10.5194/acp-25-327-2025, 2025
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Four different approaches for computing the interfacial tension between liquid phases in aerosol particles were tested for particles with diameters from 10 nm to more than 5 μm. Antonov's rule led to the strongest reductions in the onset relative humidity of liquid–liquid phase separation and reproduced measured interfacial tensions for highly immiscible systems. A modified form of the Butler equation was able to best reproduce measured interfacial tensions in more miscible systems.
Masaru Yoshioka, Daniel P. Grosvenor, Ben B. B. Booth, Colin P. Morice, and Ken S. Carslaw
Atmos. Chem. Phys., 24, 13681–13692, https://doi.org/10.5194/acp-24-13681-2024, https://doi.org/10.5194/acp-24-13681-2024, 2024
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A 2020 regulation has reduced sulfur emissions from shipping by about 80 %, leading to a decrease in atmospheric aerosols that have a cooling effect primarily by affecting cloud properties and amounts. Our climate model simulations predict a global temperature increase of 0.04 K over the next 3 decades as a result, which could contribute to surpassing the Paris Agreement's 1.5 °C target. Reduced aerosols may have also contributed to the recent temperature spikes.
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
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Climate models include desert dust aerosols, which cause atmospheric heating and can change circulation patterns. We assess the effect of dust on the Indian and east Asian summer monsoons through multi-model experiments isolating the effect of dust in current climate models for the first time. Dust atmospheric heating results in a southward shift of western Pacific equatorial rainfall and an enhanced Indian summer monsoon. This shows the importance of accurate dust representation in models.
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
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In 2020, new regulations by the International Maritime Organization regarding sulfur emissions came into force, reducing emissions of SO2 from the shipping sector by approximately 80 %. In this study, we use multiple models to calculate how much the Earth energy balance changed due to the emission reduction or the so-called effective radiative forcing. The calculated effective radiative forcing is weak, comparable to the effect of the increase in CO2 over the last 2 to 3 years.
Ge Yu, Yueya Wang, Zhe Wang, and Xiaoming Shi
EGUsphere, https://doi.org/10.5194/egusphere-2024-3581, https://doi.org/10.5194/egusphere-2024-3581, 2024
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Studying the cloud-forming capacity of aerosols is crucial in climate research. The PartMC model can provide detailed particle information and help these studies. This model is integrated with the ideal meteorological Cloud Model 1 (CM1) to simulate the aerosols at cloud-forming locations. Significant changes are revealed in the hygroscopicity distribution of aerosols within ascending air parcels. Additionally, different ascent times also affect aerosol aging processes.
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
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Atmospheric aerosol deposition provides bioavailable iron to promote marine primary production, yet the estimates of its fluxes remain highly uncertain. This study, by performing global aerosol simulations, demonstrates that iron-containing particle size upon emission is a critical factor in regulating soluble iron input to open oceans. Further observational constraints on this are needed to reduce modeling uncertainties.
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
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Aiming to understand underlying patterns and trends in aerosols, we characterize the spatial patterns and long-term evolution of lower tropospheric aerosols by clustering multiple aerosol properties from preindustrial times to the year 2050 under three Shared
Socioeconomic Pathway scenarios. The results provide a clear and condensed picture of the spatial extent and distribution of aerosols for different time periods and emission scenarios.
Socioeconomic Pathway scenarios. The results provide a clear and condensed picture of the spatial extent and distribution of aerosols for different time periods and emission scenarios.
Bishuo He and Chunsheng Zhao
EGUsphere, https://doi.org/10.5194/egusphere-2024-3441, https://doi.org/10.5194/egusphere-2024-3441, 2024
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Factor-uncertainty analysis helps us understand their impacts on complex systems. Traditional methods have many limitations. This study introduces a new method to measure how each factor contributes to uncertainty. It gains insights into the role of each variable and works for all multi-factor systems. As an application, we analyzed how aerosols affect solar radiation and identified the key factors. These analyses can improve our understanding of the role of aerosols in climate change.
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
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In March 2021, east Asia experienced an outbreak of severe dust storms after an absence of 1.5 decades. Here, we innovatively used the time-lagged ground-based aerosol size information with the fixed-lag ensemble Kalman smoother to optimize dust emission and reproduce the dust storm. This work is valuable for not only the quantification of health damage, aviation risks, and profound impacts on the Earth's system but also revealing the climatic driving force and the process of desertification.
Marc Mallet, Aurore Voldoire, Fabien Solmon, Pierre Nabat, Thomas Drugé, and Romain Roehrig
Atmos. Chem. Phys., 24, 12509–12535, https://doi.org/10.5194/acp-24-12509-2024, https://doi.org/10.5194/acp-24-12509-2024, 2024
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This study investigates the interactions between smoke aerosols and climate in tropical Africa using a coupled ocean–atmosphere–aerosol climate model. The work shows that smoke plumes have a significant impact by increasing the low-cloud fraction, decreasing the ocean and continental surface temperature and reducing the precipitation of coastal western Africa. It also highlights the role of the ocean temperature response and its feedbacks for the September–November season.
Jia Liu, Cancan Zhu, Donghui Zhou, and Jinbao Han
Atmos. Chem. Phys., 24, 12341–12354, https://doi.org/10.5194/acp-24-12341-2024, https://doi.org/10.5194/acp-24-12341-2024, 2024
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The hydrophilic coatings of aged black carbon (BC) particles absorb moisture during the hygroscopic growth process, but it is difficult to characterize how much water is absorbed under different relative humidities (RHs). In this study, we propose a method to obtain the water content in the coatings based on the equivalent complex refractive index retrieved from optical properties. This method is verified from a theoretical perspective, and it performs well for thickly coated BC at high RHs.
Catherine Anne Toolan, Joe Adabouk Amooli, Laura J. Wilcox, Bjørn H. Samset, Andrew G. Turner, and Daniel M. Westervelt
EGUsphere, https://doi.org/10.5194/egusphere-2024-3057, https://doi.org/10.5194/egusphere-2024-3057, 2024
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Our research explores how well air pollution and rainfall patterns in Africa are represented in current climate models, by comparing model data to observations from 1981 to 2023. While most models capture seasonal air quality changes well, they struggle to replicate the distribution of non-dust pollutants and certain rainfall patterns, especially over east Africa. Improving these models is crucial for better climate predictions and preparing for future risks.
Mizuo Kajino, Kentaro Ishijima, Joseph Ching, Kazuyo Yamaji, Rio Ishikawa, Tomoki Kajikawa, Tanbir Singh, Tomoki Nakayama, Yutaka Matsumi, Koyo Kojima, Prabir K. Patra, and Sachiko Hayashida
EGUsphere, https://doi.org/10.5194/egusphere-2024-1811, https://doi.org/10.5194/egusphere-2024-1811, 2024
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Air pollution in Delhi during post monsoon period is severe and association with intensive crop residue burning (CRB) over Punjab state has attracted attention. However, the relationship has been unclear as the CRB emissions conventionally derived from satellites were underestimated due to clouds and haze over the region. We evaluated the impact of CRB on PM2.5 as about 50 %, based on a combination of numerical modeling and high-density observation network using low-cost sensors we installed.
Zijun Li, Angela Buchholz, and Noora Hyttinen
Atmos. Chem. Phys., 24, 11717–11725, https://doi.org/10.5194/acp-24-11717-2024, https://doi.org/10.5194/acp-24-11717-2024, 2024
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Evaluating organosulfur (OS) hygroscopicity is important for assessing aerosol–cloud climate interactions in the post-fossil-fuel future, when SO2 emissions decrease and OS compounds become increasingly important. Here a state-of-the-art quantum-chemistry-based method was used to predict the hygroscopic growth factors (HGFs) of a group of atmospherically relevant OS compounds and their mixtures with (NH4)2SO4. A good agreement was observed between their model-estimated and experimental HGFs.
Jamie R. Banks, Bernd Heinold, and Kerstin Schepanski
Atmos. Chem. Phys., 24, 11451–11475, https://doi.org/10.5194/acp-24-11451-2024, https://doi.org/10.5194/acp-24-11451-2024, 2024
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The Aralkum is a new desert in Central Asia formed by the desiccation of the Aral Sea. This has created a source of atmospheric dust, with implications for the balance of solar and thermal radiation. Simulating these effects using a dust transport model, we find that Aralkum dust adds radiative cooling effects to the surface and atmosphere on average but also adds heating events. Increases in surface pressure due to Aralkum dust strengthen the Siberian High and weaken the summer Asian heat low.
Xinyue Shao, Minghuai Wang, Xinyi Dong, Yaman Liu, Wenxiang Shen, Stephen R. Arnold, Leighton A. Regayre, Meinrat O. Andreae, Mira L. Pöhlker, Duseong S. Jo, Man Yue, and Ken S. Carslaw
Atmos. Chem. Phys., 24, 11365–11389, https://doi.org/10.5194/acp-24-11365-2024, https://doi.org/10.5194/acp-24-11365-2024, 2024
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Highly oxygenated organic molecules (HOMs) play an important role in atmospheric new particle formation (NPF). By semi-explicitly coupling the chemical mechanism of HOMs and a comprehensive nucleation scheme in a global climate model, the updated model shows better agreement with measurements of nucleation rate, growth rate, and NPF event frequency. Our results reveal that HOM-driven NPF leads to a considerable increase in particle and cloud condensation nuclei burden globally.
Falei Xu, Shuang Wang, Yan Li, and Juan Feng
Atmos. Chem. Phys., 24, 10689–10705, https://doi.org/10.5194/acp-24-10689-2024, https://doi.org/10.5194/acp-24-10689-2024, 2024
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This study examines how the winter North Atlantic Oscillation (NAO) and El Niño–Southern Oscillation (ENSO) affect dust activities in North China during the following spring. The results show that the NAO and ENSO, particularly in their negative phases, greatly influence dust activities. When both are negative, their combined effect on dust activities is even greater. This research highlights the importance of these climate patterns in predicting spring dust activities in North China.
Hengheng Zhang, Wei Huang, Xiaoli Shen, Ramakrishna Ramisetty, Junwei Song, Olga Kiseleva, Christopher Claus Holst, Basit Khan, Thomas Leisner, and Harald Saathoff
Atmos. Chem. Phys., 24, 10617–10637, https://doi.org/10.5194/acp-24-10617-2024, https://doi.org/10.5194/acp-24-10617-2024, 2024
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Our study unravels how stagnant winter conditions elevate aerosol levels in Stuttgart. Cloud cover at night plays a pivotal role, impacting morning air quality. Validating a key model, our findings aid accurate air quality predictions, crucial for effective pollution mitigation in urban areas.
Zixuan Jia, Massimo A. Bollasina, Wenjun Zhang, and Ying Xiang
EGUsphere, https://doi.org/10.5194/egusphere-2024-2770, https://doi.org/10.5194/egusphere-2024-2770, 2024
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Using multi-model mean data from regional aerosol perturbation experiments, we find that increased Asian sulfate aerosols strengthen the link between ENSO and the East Asian winter monsoon. In coupled simulations, aerosol-induced broad cooling increases ENSO amplitude by affecting the tropical Pacific mean state, contributing to increase monsoon interannual variability. These results provide important implications to reduce uncertainties in future projections of regional extreme variability.
Giorgio Veratti, Alessandro Bigi, Michele Stortini, Sergio Teggi, and Grazia Ghermandi
Atmos. Chem. Phys., 24, 10475–10512, https://doi.org/10.5194/acp-24-10475-2024, https://doi.org/10.5194/acp-24-10475-2024, 2024
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In a study of two consecutive winter seasons, we used measurements and modelling tools to identify the levels and sources of black carbon pollution in a medium-sized urban area of the Po Valley, Italy. Our findings show that biomass burning and traffic-related emissions (especially from Euro 4 diesel cars) significantly contribute to BC concentrations. This research offers crucial insights for policymakers and urban planners aiming to improve air quality in cities.
Steven Soon-Kai Kong, Joshua S. Fu, Neng-Huei Lin, Guey-Rong Sheu, and Wei-Syun Huang
EGUsphere, https://doi.org/10.5194/egusphere-2024-2549, https://doi.org/10.5194/egusphere-2024-2549, 2024
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The accuracy of the chemical transport model, a key focus of our research, is strongly dependent on the dry deposition parameterization. Our finding shows that the refined CMAQ dust model correlated well with the ground and high altitude in-situ measurements by implementing the suggested dry deposition schemes. Furthermore, we reveal the mixing state of two types of aerosols at the upper level, a finding supported by both the optimized model and measurement.
Pascal Lemaitre, Arnaud Quérel, Alexis Dépée, Alice Guerra Devigne, Marie Monier, Thibault Hiron, Chloé Soto Minguez, Daniel Hardy, and Andrea Flossmann
Atmos. Chem. Phys., 24, 9713–9732, https://doi.org/10.5194/acp-24-9713-2024, https://doi.org/10.5194/acp-24-9713-2024, 2024
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A new in-cloud scavenging scheme is proposed. It is based on a microphysical model of cloud formation and may be applied to long-distance atmospheric transport models (> 100 km) and climatic models. This model is applied to the two most extreme precipitating cloud types in terms of both relative humidity and vertical extension: cumulonimbus and stratus.
Alex Rowell, James Brean, David C. S. Beddows, Tuukka Petäjä, Máté Vörösmarty, Imre Salma, Jarkko V. Niemi, Hanna E. Manninen, Dominik van Pinxteren, Thomas Tuch, Kay Weinhold, Zongbo Shi, and Roy M. Harrison
Atmos. Chem. Phys., 24, 9515–9531, https://doi.org/10.5194/acp-24-9515-2024, https://doi.org/10.5194/acp-24-9515-2024, 2024
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Different sources of airborne particles in the atmospheres of four European cities were distinguished by recognising their particle size distributions using a statistical procedure, positive matrix factorisation. The various sources responded differently to the changes in emissions associated with COVID-19 lockdowns, and the reasons are investigated. While traffic emissions generally decreased, particles formed from reactions of atmospheric gases decreased in some cities but increased in others.
Amy H. Peace, Ying Chen, George Jordan, Daniel G. Partridge, Florent Malavelle, Eliza Duncan, and Jim M. Haywood
Atmos. Chem. Phys., 24, 9533–9553, https://doi.org/10.5194/acp-24-9533-2024, https://doi.org/10.5194/acp-24-9533-2024, 2024
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Natural aerosols from volcanic eruptions can help us understand how anthropogenic aerosols modify climate. We use observations and model simulations of the 2014–2015 Holuhraun eruption plume to examine aerosol–cloud interactions in September 2014. We find a shift to clouds with smaller, more numerous cloud droplets in the first 2 weeks of the eruption. In the third week, the background meteorology and previous conditions experienced by air masses modulate the aerosol perturbation to clouds.
Hua Lu, Min Xie, Bingliang Zhuang, Danyang Ma, Bojun Liu, Yangzhihao Zhan, Tijian Wang, Shu Li, Mengmeng Li, and Kuanguang Zhu
Atmos. Chem. Phys., 24, 8963–8982, https://doi.org/10.5194/acp-24-8963-2024, https://doi.org/10.5194/acp-24-8963-2024, 2024
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To identify cloud, aerosol, and planetary boundary layer (PBL) interactions from an air quality perspective, we summarized two pollution patterns characterized by denser liquid cloud and by obvious cloud radiation interaction (CRI). Numerical simulation experiments showed CRI could cause a 50 % reduction in aerosol radiation interaction (ARI) under a low-trough system. The results emphasized the nonnegligible role of CRI and its inhibition of ARI under wet and cloudy pollution synoptic patterns.
Emilie Fons, Ann Kristin Naumann, David Neubauer, Theresa Lang, and Ulrike Lohmann
Atmos. Chem. Phys., 24, 8653–8675, https://doi.org/10.5194/acp-24-8653-2024, https://doi.org/10.5194/acp-24-8653-2024, 2024
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Aerosols can modify the liquid water path (LWP) of stratocumulus and, thus, their radiative effect. We compare storm-resolving model and satellite data that disagree on the sign of LWP adjustments and diagnose this discrepancy with causal inference. We find that strong precipitation, the absence of wet scavenging, and cloud deepening under a weak inversion contribute to positive LWP adjustments to aerosols in the model, despite weak negative effects from cloud-top entrainment enhancement.
Muhammed Irfan, Thomas Kühn, Taina Yli-Juuti, Anton Laakso, Eemeli Holopainen, Douglas R. Worsnop, Annele Virtanen, and Harri Kokkola
Atmos. Chem. Phys., 24, 8489–8506, https://doi.org/10.5194/acp-24-8489-2024, https://doi.org/10.5194/acp-24-8489-2024, 2024
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The study examines how the volatility of semi-volatile organic compounds affects secondary organic aerosol (SOA) formation and climate. Our simulations show that uncertainties in these volatilities influence aerosol mass and climate impacts. Accurate representation of these compounds in climate models is crucial for predicting global climate patterns.
Alkiviadis Kalisoras, Aristeidis K. Georgoulias, Dimitris Akritidis, Robert J. Allen, Vaishali Naik, Chaincy Kuo, Sophie Szopa, Pierre Nabat, Dirk Olivié, Twan van Noije, Philippe Le Sager, David Neubauer, Naga Oshima, Jane Mulcahy, Larry W. Horowitz, and Prodromos Zanis
Atmos. Chem. Phys., 24, 7837–7872, https://doi.org/10.5194/acp-24-7837-2024, https://doi.org/10.5194/acp-24-7837-2024, 2024
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Effective radiative forcing (ERF) is a metric for estimating how human activities and natural agents change the energy flow into and out of the Earth’s climate system. We investigate the anthropogenic aerosol ERF, and we estimate the contribution of individual processes to the total ERF using simulations from Earth system models within the Coupled Model Intercomparison Project Phase 6 (CMIP6). Our findings highlight that aerosol–cloud interactions drive ERF variability during the last 150 years.
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.
Campbell, J. R., Reid, J. S., Westphal, D. L., Zhang, J. L., Tackett, J. L.,
Chew, B. N., Welton, E. J., Shimizu, A., Sugimoto, N., Aoki, K., and Winker, D.
M.: Characterizing the vertical profile of aerosol particle extinction
and linear depolarization over Southeast Asia and the Maritime Continent:
The 2007–2009 view from CALIOP, Atmos. Res., 122, 520–543, https://doi.org/10.1016/j.atmosres.2012.05.007, 2013.
Chew, B. N., Campbell, J. R., Salinas, S. V., Chang, C.,W., Reid, J. S., Welton, E.
J., and Liew, S. C.: Aerosol particle vertical distributions and
optical properties over Singapore, Atmos. Environ., 79, 599–613, 2013.
Cohen, J. B. and Prinn, R. G.: Development of a fast, urban chemistry metamodel
for inclusion in global models, Atmos. Chem. Phys., 11, 7629–7656,
https://doi.org/10.5194/acp-11-7629-2011, 2011.
Cohen, J. B.: Quantifying the occurrence and magnitude of the
Southeast Asian fire climatology, Environ. Res. Lett., 9, 114018, https://doi.org/10.1088/1748-9326/9/11/114018, 2014.
Cohen, J. B., Lecoeur, E., and Hui Loong Ng, D.: Decadal-scale relationship between measurements of aerosols,
land-use change, and fire over Southeast Asia, Atmos. Chem. Phys., 17, 721–743,
https://doi.org/10.5194/acp-17-721-2017, 2017.
Cohen, J. B. and Wang C.: Estimating Global Black Carbon Emissions
Using a Top-Down Kalman Filter Approach, J. Geophys. Res., 119, 307–323, https://doi.org/10.1002/2013JD019912,
2014.
Colarco, P., Schoeberl, M., Doddridge, B., Marufu, L., Torres, O., and Welton,
E.: Transport of smoke from Canadian forest fires to the surface
near Washington, D.C.: Injection height, entrainment, and optical
properties, J. Geophys. Res., 109, D06203, https://doi.org/10.1029/2003jd00424, 2004.
Couwenberg, J., Dommain, R., and Joosten, H.: Greenhouse gas fluxes
from tropical peatlands in south-east Asia, Glob. Change Biol., 16, 1715–1732, https://doi.org/10.1111/j.1365-2486.2009.02016, 2010.
Delene, D. J. and Ogren, J. A.: Variability of aerosol optical
properties at four North American surface monitoring sites, J. Atmos. Sci.,
59, 1135–1150, 2002.
Dennis, R. A., Mayer, J., Applegate, G., Chokkalingam, U., Colfer, C. J. P., Kurniawan,
I., and Tomich, T. P.: Fire, people and pixels: linking social
science and remote sensing to understand underlying causes and impacts of
fires in Indonesia, Human Ecol., 33, 465–504, 2005.
Dubovik, O., Smirnov, A., Holben, B. N., King, M. D., Kaufman, Y. J., Eck, T. F., and
Slutsker, I: Accuracy assessments of aerosol optical properties
retrieved from Aerosol Robotic Network (AERONET) Sun and sky radiance
measurements, J. Geophys. Res., 105, 9791–9806, 2000.
Ekman, A., Engstrom, A., and Wang, C.: The effect of aerosol
composition and concentration on the development and anvil properties of a
continental deep convective cloud, Q. J. Roy. Meteor. Soc., 133, 1439–1452, 2007.
Ekman, A. M. L., Hermann, M., Gross, P., Heintzenberg, J., Kim, D., and Wang, C.:
Sub-micrometer aerosol particles in the upper troposphere/lowermost
stratosphere as measured by CARIBIC and modeled using the MIT-CAM3 global
climate model, J. Geophys. Res., 117, D11202, https://doi.org/10.1029/2011JD016777, 2012.
Field, R. D., van der Werf, G. R., and Shen S. P. P.: Human amplification of
drought-induced biomass burning in Indonesia since 1960, Nat. Geosci.,
https://doi.org/10.1038/ngeo443, 2009.
Freeborn, P. H., Wooster, M. J., Roy, D. P., and Cochrane, M. A.:
Quantification of MODIS fire radiative power (FRP) measurement uncertainty
for use in satellite-based active fire characterization and biomass burning
estimation, Geophys. Res. Lett., 41, 1988–1994, https://doi.org/10.1002/2013GL59086, 2014.
Giglio, L., Csiszar, I., and Justice, C. O.: Global distribution and
seasonality of active fires as observed with the Terra and Aqua MODIS
sensors, J. Geophys. Res., https://doi.org/10.1029/2005JG000142, 2006.
Hansen, M. C.: Humid tropical forest clearing from 2000 to 2005
quantified by using multitemporal and multiresolution remotely sensed data,
P. Natl. Acad. Sci. USA, 105, 9439–9444, 2008.
Hostetler, C., Hair, J., Liu, Z. Y., Ferrare, R., Harper, D., Cook, A.,
Vaughan, M., Trepte, C., and Winker, D.: Validation of CALIPSO Lidar
Observations Using Data From the NASA Langley Airborne High Spectral
Resolution Lidar (retrieved from: https://ntrs.nasa.gov/archive/nasa/casi.ntrs.nasa.gov/20080014234.pdf), 2008.
Hostetler, C., Liu, Z., Reagan, J., Vaughan, M., Winker, D., Osborn, M., Hunt,
W., Powell, K., and Trepte, C.: CALIOP Algorithm Theoretical Basis
Document – Part 1: Calibration and Level 1 Data Products, Doc. PC-SCI, 201, 2006.
Huffman, G. J., Bolvin, D. T., and Adler, R. F.: last updated 2012: GPCP
Version 1.2 1-Degree Daily (1DD) Precipitation Data Set, WDC-A, NCDC,
Asheville, NC, Data set accessed November 1, 2017 at
http://www.ncdc.noaa.gov/oa/wmo/wdcametncdc.html, 2012.
Ichoku, C., Giglio, L., Wooster, M., and Remer, L.: Global
characterization of biomass-burning patterns using satellite measurements of
fire radiative energy, Remote Sens. Environ., 112, 2950–2962, 2008.
Kahn, R. A., Gaitley B. J., Garay M. J., Diner, D. J., Eck, T. F., Smirnov, A.,
and Holben, B. N.: Multiangle Imaging SpectroRadiometer global aerosol
product assessment by comparison with the Aerosol Robotic Network, J.
Geophys. Res. Atmos., 115, D23209, https://doi.org/10.1029/2010JD014601, 2010.
Kahn, R. A., Chen, Y., Nelson, D. L., Leung, F. Y., Li, Q. B., Diner, D. J., and
Logan, J. A.: Wildfire smoke injection heights: Two perspectives from
space, Geophys. Res. Lett., 35, L04809, https://doi.org/10.1029/2007GL032165, 2008.
Kahn, R. A., Li, W. H., Moroney, C., Diner, D. J., Martonchik, J. V., and
Fishbein, E.: Aerosol source plume physical characteristics from
space-based multiangle imaging, J. Geophys. Res., 112, D11205, https://doi.org/10.1029/2006JD007647,
2007.
Kalnay, E., Kanamitsu, M., Kistler, R., Collins, W., Deaven, D., Gandin, L., Iredell, M., Saha,
S., White, G., Woollen, J., Zhu, Y., Leetmaa, A., Reynolds, R., Chelliah, M., Ebisuzaki, W., Higgins,
W., Janowiak, J., Mo, K. C., Ropelewski, C., Wang, J., Jenne, R., and Joseph, D.:
The NCEP/NCAR 40-year reanalysis project, B. Am. Meteor. Soc., 77, 437–470,
1996.
Kaufman, Y. J., Ichoku, C., Giglio, L., Korontzi, S., Chu, D. A., Hao, W. M., and
Justice, C. O.: Fire and smoke observed from the Earth Observing
System MODIS instrument–products, validation, and operational use.
Int. J. Remote Sens., 24, 1765–1781, 2003.
Kim, D., Wang, C., Ekman, A. M. L., Barth, M. C., and Rasch, P.:
Distribution and direct radiative forcing of carbonaceous and sulfate
aerosols in an interactive size-resolving aerosol-climate model, J. Geophys. Res., 113,
D16309, https://doi.org/10.1029/2007JD009756, 2008.
Lamarque, J.-F., Bond, T. C., Eyring, V., Granier, C., Heil, A., Klimont, Z., Lee, D.,
Liousse, C., Mieville, A., Owen, B., Schultz, M. G., Shindell, D., Smith, S. J.,
Stehfest, E., Van Aardenne, J., Cooper, O. R., Kainuma, M., Mahowald, N., McConnell,
J. R., Naik, V., Riahi, K., and van Vuuren, D. P.: Historical (1850–2000) gridded
anthropogenic and biomass burning emissions of reactive gases and aerosols: methodology
and application, Atmos. Chem. Phys., 10, 7017–7039, https://doi.org/10.5194/acp-10-7017-2010, 2010.
Langmann, B., Duncan, B., Textor, C., Trentmann, J., and van der Werf, G. R.:
Vegetation fire emissions and their impact on air pollution and
climate, Atmos. Environ., 43, 107–116, 2009.
Lee, J., Hsu, N. C., Bettenhausen, C., Sayer, A. M., Seftor, C. J., Jeong,
M. J., Tsay, S. C., Welton, E. J., Wang, S. H., and Chen, W. N.: Evaluating the
Height of Biomass Burning Smoke Aerosols Retrieved from Synergistic Use of
Multiple Satellite Sensors over Southeast Asia, Aerosol. Air Qual. Res., 16, 2831–2842, https://doi.org/10.4209/aaqr.2015.08.0506, 2016.
Leung, F. Y. T., Logan, J. A., Park, R., Hyer, E., Kasischke, E., Streets, D., and
Yurganov, L.: Impacts of enhanced biomass burning in the boreal
forests in 1998 on tropospheric chemistry and the sensitivity of model
results to the injection height to emissions, J. Geophys. Res., 112, D10313,
https://doi.org/10.1029/2006JD008132, 2007.
Lin, N. H., Sayer, A. M., Wang, S. H., Loftus, A. M., Hsiao, T. C., Sheu, G. R., and
Chantara, S.: Interactions between biomass-burning aerosols and
clouds over Southeast Asia: Current status, challenges, and perspectives,
Environ. Pollut., 195, 292–307, 2014.
Martin, V. M., Kahn, R. A., Logan, J. A., Paugam, R., Wooster, M., and Ichoku, C.:
Space-based observational constraints for 1-D fire smoke plume-rise
models, J. Geophys. Res.-Atmos., 117, https://doi.org/10.1029/2012JD018370, 2012.
Miettinen, J., Hyer, E., Chia, A. S., Kwoh, L. K., and Liew, S. C.:
Detection of vegetation fires and burnt areas by remote sensing in insular
Southeast Asian conditions: current status of knowledge and future
challenges, Int. J. Remote Sens., 34, 4344–4366, 2013.
Ming, Y., Ramaswamy, V., and Persad, G.: Two opposing effects of
absorbing aerosols on global-mean precipitation, Geophys. Res. Lett., 37, https://doi.org/10.1029/2010GL042895, 2010.
Nakajima, T., Higurashi, A., Takeuchi, N., and Herman, J. R.: Satellite
and ground-based study of optical properties of 1997 Indonesian Forest Fire
aerosols, Geophys. Res. Lett., 26, https://doi.org/10.1029/1999GL900208, 1999.
Petersen, W. and Rutledge, S.: Regional Variability in Tropical
Convection: Observations from TRMM, J. Climate, 14, 3566–3586, 2001.
Petrenko, M., Kahn, R. A., Chin, M., Soja, A. J., Kucsera, T., and
Harshvardhan: The use of satellite-measured aerosol optical depth to constrain
biomass burning emissions source strength in the global model GOCART, J. Geophys. Res.,
https://doi.org/10.1029/2012JD017870, 2012.
Rienecker, M. M., Suarez, M. J., Gelaro, R., Todling, R., Bacmeister, J., Liu,
E., Bosilovich, M. G., Schubert, S. D., Takacs, L., Kim, G.-K., Bloom, S., Chen, J., Collins,
D., Conaty, A., and da Silva, A.: MERRA: NASA's Modern-Era
Retrospective Analysis for Research and Applications, J. Climate, 24,
3624–3648, https://doi.org/10.1175/JCLI-D-11-00015.1, 2011.
Rogers, R. R., Hostetler, C. A., Ferrare, R. A., Hair, J. W., Obland, M. D.,
Cook, A. L., Harper, D. B., and Swanson, A. J.: Validation of CALIOP Aerosol
Backscatter and Extinction Profile Products Using Airborne High Spectral
Resolution Lidar Data (retrieved from:
http://cimss.ssec.wisc.edu/calipso/meetings/cloudsat_calipso_2009/Posters/Rogers.pdf), 2009.
Schuster, G. L., Dubovik, O., Holben, B., and Clothiaux, E.: Inferring
black carbon content and specific absorption from Aerosol Robotic Network
(AERONET) aerosol retrievals, J. Geophys. Res., 110, D10S17, https://doi.org/10.1029/2004JD004548,
2005.
Sessions, W. R., Fuelberg, H. E., Kahn, R. A., and Winker, D. M.: An investigation of methods for injecting
emissions from boreal wildfires using WRF-Chem during ARCTAS, Atmos. Chem. Phys., 11, 5719–5744,
https://doi.org/10.5194/acp-11-5719-2011, 2011.
Sofiev, M., Ermakova, T., and Vankevich, R.: Evaluation of the smoke-injection height from
wild-land fires using remote-sensing data, Atmos. Chem. Phys., 12, 1995–2006,
https://doi.org/10.5194/acp-12-1995-2012, 2012.
Stone, P. and Carlson, J.: Atmospheric Lapse Rate Regimes and Their
Parameterization, J. Atmos. Sci., 36, 415–423, 1979.
Sugimoto, N., Nishizawa T., Shimizu A., Matsui I., and Jin, Y.:
Characterization of aerosols in East Asia with the Asian dust and aerosol
lidar observation network (AD-Net) Proc. SPIE, 9262 92620K, https://doi.org/10.1117/12.2069892, 2014a.
Sugimoto, N., Shimizu, A., Nishizawa, T., Matsui, I., Jin, Y., Khatri, P.,
Irie, H., Takamura, T., Aoki, K., and Thana, B.: Aerosol characteristics
in Phimai, Thailand determined by continuous observation with a polarization
sensitive Mie–Raman lidar and a sky radiometer, Environ. Res. Lett., 10, 6,
https://doi.org/10.1088/1748-9326/10/6/065003, 2014b.
Tao, W. K., Chen, J. P., Li, Z. Q., Wang, C., and Zhang, C. D.: The Impact of
Aerosol on convective cloud and precipitation, Rev. Geophys., 50, RG2001,
https://doi.org/10.1029/2011RG000369, 2012.
Taylor, D.: Biomass burning, humans and climate change in Southeast
Asia, Biodiversity and conservation, 19, 1025–1042,
2010.
Tosca, M. G., Randerson, J. T., Zender, C. S., Nelson, D. L., Diner, D. J., and Logan, J.
A.: Dynamics of fire plumes and smoke clouds associated with peat
and deforestation fires in Indonesia, J. Geophys. Res., 116, D08207,
https://doi.org/10.1029/2010JD015148, 2011.
Tsigaridis, K., Daskalakis, N., Kanakidou, M., Adams, P. J., Artaxo, P., Bahadur, R.,
Balkanski, Y., Bauer, S. E., Bellouin, N., Benedetti, A., Bergman, T., Berntsen, T. K.,
Beukes, J. P., Bian, H., Carslaw, K. S., Chin, M., Curci, G., Diehl, T., Easter, R. C.,
Ghan, S. J., Gong, S. L., Hodzic, A., Hoyle, C. R., Iversen, T., Jathar, S., Jimenez,
J. L., Kaiser, J. W., Kirkevåg, A., Koch, D., Kokkola, H., Lee, Y. H., Lin, G., Liu, X.,
Luo, G., Ma, X., Mann, G. W., Mihalopoulos, N., Morcrette, J.-J., Müller, J.-F., Myhre,
G., Myriokefalitakis, S., Ng, N. L., O'Donnell, D., Penner, J. E., Pozzoli, L., Pringle,
K. J., Russell, L. M., Schulz, M., Sciare, J., Seland, Ø., Shindell, D. T., Sillman, S.,
Skeie, R. B., Spracklen, D., Stavrakou, T., Steenrod, S. D., Takemura, T., Tiitta, P.,
Tilmes, S., Tost, H., van Noije, T., van Zyl, P. G., von Salzen, K., Yu, F., Wang, Z.,
Wang, Z., Zaveri, R. A., Zhang, H., Zhang, K., Zhang, Q., and Zhang, X.:
The AeroCom evaluation and intercomparison of organic aerosol in global models,
Atmos. Chem. Phys., 14, 10845–10895, https://doi.org/10.5194/acp-14-10845-2014, 2014.
Urbanski, S.: Wildland fire emissions, carbon, and climate:
Emission factors, Forest Ecol. Manage., 317, 51–60, 2014.
van der Werf, G. R., Randerson, J. T., Giglio, L., Collatz, G. J., Mu, M.,
Kasibhatla, P. S., Morton, D. C., DeFries, R. S., Jin, Y., and van Leeuwen,
T. T.: Global fire emissions and the contribution of deforestation, savanna,
forest, agricultural, and peat fires (1997–2009), Atmos. Chem. Phys., 10,
11707–11735, https://doi.org/10.5194/acp-10-11707-2010, 2010.
van der Werf, G. R., Dempewolf, J., Trigg, S. N., Randerson, J. T., Kasibhatla, P.
S., Giglio, L., and DeFries, R. S.: Climate regulation of fire
emissions and deforestation in equatorial Asia, P. Natl. Acad. Sci., 105, 20350–20355, 2008.
Wang, C.: Impact of anthropogenic absorbing aerosols on clouds and
precipitation: A review of recent progresses, Atmos. Res., 122, 237–249,
2013.
Wang, C.: Impact of direct radiative forcing of black carbon aerosols
on tropical convective precipitation, Geophys. Res. Lett., 34, L05709,
https://doi.org/10.1029/2006GL028416, 2007.
Winker, D. M., Pelon, J., and McCormick, M. P.: The CALIPSO mission:
Spaceborne lidar for observation of aerosols and clouds, Proc. SPIE, 4893,
1–11, 2003.
Winker, D. M., Tackett, J. L., Getzewich, B. J., Liu, Z., Vaughan, M. A., and Rogers, R. R.:
The global 3-D distribution of tropospheric aerosols as characterized by CALIOP, Atmos. Chem.
Phys., 13, 3345–3361, https://doi.org/10.5194/acp-13-3345-2013, 2013.
Woodward, J. L.: Estimating the Flammable Mass of a Vapour Cloud: A CCPS Concept Book, John Wiley & Sons,
ISBN 0470935359, 9780470935354, 2010.
Wooster, M. J., Perry, G. L. W., and Zoumas, A.: Fire, drought and El Niño
relationships on Borneo (Southeast Asia) in the pre-MODIS era (1980–2000), Biogeosciences, 9, 317–340,
https://doi.org/10.5194/bg-9-317-2012, 2012.
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.
Measured aerosol heights over the Maritime Continent are higher than previously thought, with 61...
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