Articles | Volume 20, issue 5
https://doi.org/10.5194/acp-20-2865-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/acp-20-2865-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
09 Mar 2020
Research article |
| 09 Mar 2020
| 09 Mar 2020
Scattering matrices of mineral dust aerosols: a refinement of the refractive index impact
Yifan Huang
Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters, Nanjing University of Information Science & Technology, Nanjing 210044, China
Key Laboratory for Aerosol-Cloud-Precipitation of China Meteorological Administration, School of Atmospheric Physics, Nanjing University of Information Science & Technology, Nanjing 210044, China
Chao Liu
CORRESPONDING AUTHOR
Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters, Nanjing University of Information Science & Technology, Nanjing 210044, China
Key Laboratory for Aerosol-Cloud-Precipitation of China Meteorological Administration, School of Atmospheric Physics, Nanjing University of Information Science & Technology, Nanjing 210044, China
Bin Yao
Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters, Nanjing University of Information Science & Technology, Nanjing 210044, China
Key Laboratory for Aerosol-Cloud-Precipitation of China Meteorological Administration, School of Atmospheric Physics, Nanjing University of Information Science & Technology, Nanjing 210044, China
Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters, Nanjing University of Information Science & Technology, Nanjing 210044, China
Key Laboratory for Aerosol-Cloud-Precipitation of China Meteorological Administration, School of Atmospheric Physics, Nanjing University of Information Science & Technology, Nanjing 210044, China
Department of Atmospheric Sciences, Zhejiang University, Hangzhou 310027, China
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Xirui Ma, Yun Zhang, Yanqiong Xie, Panyan Ge, Lingbing Bu, and Yan Yin
EGUsphere, https://doi.org/10.5194/egusphere-2026-5934, https://doi.org/10.5194/egusphere-2026-5934, 2026
This preprint is open for discussion and under review for Atmospheric Chemistry and Physics (ACP).
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Using high-resolution observations from five spring advection sea fog events over the East China Sea, we examined aerosol–sea fog interactions throughout their life cycles. We found that the microphysical response of sea fog depends strongly on the combined state of the cloud–aerosol mass mixing ratio and liquid water content. These results provide new observational evidence for understanding aerosol effects on sea fog and its evolution under polluted conditions.
Yulin Wang, Yichen Lu, Honglei Wang, Chunsong Lu, Sihan Liu, Yang Yang, Zirui Liu, Yan Yin, Deyu Liu, Yue Chen, and Tianliang Zhao
EGUsphere, https://doi.org/10.5194/egusphere-2026-5114, https://doi.org/10.5194/egusphere-2026-5114, 2026
This preprint is open for discussion and under review for Atmospheric Chemistry and Physics (ACP).
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Cloud water shapes rain and climate, and droplets can stay liquid even below freezing, but differences between warm and supercooled clouds remain unclear. We analysed aircraft observations and used machine learning to identify the controls. The cold clouds were deeper but held less water. Wind was the main control in both, while temperature mattered mainly through its interaction with wind rather than on its own. This should help improve weather and climate models.
Hua Zhang, Shuxiao Wang, Xi Zhao, Zhijun Wu, Yan Yin, Siyu Chen, Dantong Liu, Jingchuan Chen, Hui Jiang, Jiewen Shen, Da Gao, Dejia Yin, Yicong He, Zeqi Li, Shengyue Li, Zhaoxin Dong, Manish Shrivastava, Jonathan H. Jiang, Muyan Peng, and Bin Zhao
Atmos. Chem. Phys., 26, 12329–12354, https://doi.org/10.5194/acp-26-12329-2026, https://doi.org/10.5194/acp-26-12329-2026, 2026
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Mineral dust can initiate ice formation in clouds, affecting cloud properties and regional climate. Using an improved model, we examined their contrasting impacts in mixed-phase and ice clouds over East Asia. In mixed-phase clouds, dust promotes liquid-to-ice conversion and reduces cloud reflectivity, causing moderate warming, whereas in ice clouds, it greatly enhances ice formation and leads to stronger warming. This study advances understanding of aerosol–cloud–climate interactions.
Eui-Jong Kang, Byung-Ju Sohn, Hwan-Jin Song, Wonho Kim, and Chao Liu
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2026-471, https://doi.org/10.5194/essd-2026-471, 2026
Revised manuscript under review for ESSD
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This study provides a new winter Arctic sea-ice dataset of penetration-aware emission properties from satellite microwave observations for 2012–2025. It offers physically interpretable information on how snow-covered sea ice emits microwave radiation, helping to describe the Arctic sea-ice environment as a multivariate geophysical system. The dataset can serve as reusable geophysical information for characterizing sea-ice variability and supporting remote sensing and modelling applications.
Wanju Li, Lifang Sheng, Xueyan Bi, Zehao Huang, Yali Luo, Shiqi Xiao, Chao Liu, Yang Yang, Jiandong Wang, Yuanjian Yang, and Simone Lolli
Atmos. Chem. Phys., 26, 11943–11965, https://doi.org/10.5194/acp-26-11943-2026, https://doi.org/10.5194/acp-26-11943-2026, 2026
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Heavy rain in South China often strikes suddenly far from weather fronts and is hard to forecast. Using five years of radar wind data and rainfall records from Guangdong, we studied 226 events and found warning signs one to four hours before onset that differ by region. In the west, strengthening low-level winds drive the rain; in the Pearl River Delta, friction reshapes the surface wind; in the east, warm surface air stores energy that fuels the storm.
Nan Yao, Xiaoyu Zhang, Lei Bi, Shuchang Ma, Andrew B. Cundy, Haiyan Jin, and Renyi Liu
Ocean Sci., 22, 2503–2531, https://doi.org/10.5194/os-22-2503-2026, https://doi.org/10.5194/os-22-2503-2026, 2026
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Analyzing 1998–2020 satellite data, this study finds global warming reduces offshore Chl a in open marginal seas, a trend extending nearshore. In contrast, Chl a in highly polluted enclosed seas remains unaffected by warming, dominated instead by nutrient inputs. Successful environmental policies reducing pollution may inadvertently accelerate the climate-driven Chl a decline, revealing a complex ecological trade-off.
Jing Cai, Yongchun Liu, Feixue Zheng, Dian Ding, Wei Du, Liang Yuan, Yingjie Zou, Lazong Suolang, Rongxiang Lu, Wanwei Li, Chao Liu, Xiaolong Fan, Qiaozhi Zha, Mengxiao Luan, and Jiandong Wang
EGUsphere, https://doi.org/10.5194/egusphere-2026-4106, https://doi.org/10.5194/egusphere-2026-4106, 2026
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Characterizing organic aerosol (OA) molecular composition, sources and toxicity in the North China Plain remains difficult. Through comprehensive online and offline measurements in Weifang, a representative medium-sized city, we identify combustion-derived OA with a moderate oxidation state as the key drivers of oxidative potential (OP). These insights are critical for health risk assessments amidst the region’s ongoing reduction in particulate mass due to emission controls.
Xirui Ma, Yun Zhang, Panyan Ge, Yan Yin, Hepeng Zheng, Tingting Kang, Lingbing Bu, Wenjie Su, Donglin Yang, Qiangyue Xiang, and Yinze Ran
EGUsphere, https://doi.org/10.5194/egusphere-2026-1054, https://doi.org/10.5194/egusphere-2026-1054, 2026
Preprint archived
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Based on H-9 satellite, Qingbang observations, and ERA5 data, this study investigated a dust-advection sea fog event (24–28 March 2025). Long-range dust increased PM10 to 469 μg m⁻³ and, after aging, enhanced hygroscopicity. When RH exceeded 90 %, sulfate dominated CCN, triggering fog and reducing visibility below 1 km. Dust radiative cooling formed a 9°C inversion that stabilized the boundary layer. Fog was maintained under weak turbulence and dissipated when dry-cold winds strengthened mixing.
Chong Luo, Yongbo Zhou, Yubao Liu, Wei Han, Bin Yao, and Chao Liu
EGUsphere, https://doi.org/10.5194/egusphere-2025-4553, https://doi.org/10.5194/egusphere-2025-4553, 2025
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We developed a new technique to assimilate satellite visible reflectance. By testing our technique on a heavy rainfall event, we found that it significantly reduces errors in cloud water estimates and enhances light precipitation forecasts. This data assimilation also better improved thin clouds. This advancement helps increase the accuracy of weather predictions in situations where clouds and rain play a major role.
Meilian Chen, Xiaoqin Jing, Jiaojiao Li, Jing Yang, Xiaobo Dong, Bart Geerts, Yan Yin, Baojun Chen, Lulin Xue, Mengyu Huang, Ping Tian, and Shaofeng Hua
Atmos. Chem. Phys., 25, 7581–7596, https://doi.org/10.5194/acp-25-7581-2025, https://doi.org/10.5194/acp-25-7581-2025, 2025
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Several recent studies have reported complete cloud glaciation induced by airborne-based glaciogenic cloud seeding over plains. Since turbulence is an important factor to maintain clouds in a mixed phase, it is hypothesized that turbulence may have an impact on the seeding effect. This hypothesis is evident in the present study, which shows that turbulence can accelerate the impact of airborne glaciogenic seeding of stratiform clouds.
Zeyuan Tian, Jiandong Wang, Jiaping Wang, Chao Liu, Jia Xing, Jinbo Wang, Zhouyang Zhang, Yuzhi Jin, Sunan Shen, Bin Wang, Wei Nie, Xin Huang, and Aijun Ding
Atmos. Meas. Tech., 18, 1149–1162, https://doi.org/10.5194/amt-18-1149-2025, https://doi.org/10.5194/amt-18-1149-2025, 2025
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The radiative effect of black carbon (BC) is substantially modulated by its mixing state, which is challenging to derive physically with a single-particle soot photometer. This study establishes a machine-learning-based inversion model which can accurately and efficiently acquire the BC mixing state. Compared to the widely used leading-edge-only method, our model utilizes a broader scattering signal coverage to more accurately capture diverse particle characteristics.
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.
Ruiyu Song, Bin Zhu, Lina Sha, Peng Qian, Fei Wang, Chunsong Lu, Yan Yin, and Yuying Wang
EGUsphere, https://doi.org/10.5194/egusphere-2025-43, https://doi.org/10.5194/egusphere-2025-43, 2025
Preprint withdrawn
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This study examines how anthropogenic aerosols affect rainfall during the early summer in China’s Yangtze River Delta. Using the WRF-Chem model, we found that moderate emissions increase rainfall by boosting cloud formation. However, high emissions reduce rainfall due to smaller cloud droplets, which hinder their growth. These findings highlight the complex impact of aerosol concentrations on precipitation and provide valuable data for future research on aerosol-cloud-precipitation interactions.
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.
Xuan Wang, Lei Bi, Hong Wang, Yaqiang Wang, Wei Han, Xueshun Shen, and Xiaoye Zhang
Geosci. Model Dev., 18, 117–139, https://doi.org/10.5194/gmd-18-117-2025, https://doi.org/10.5194/gmd-18-117-2025, 2025
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The Artificial-Intelligence-based Nonspherical Aerosol Optical Scheme (AI-NAOS) was developed to improve the estimation of the aerosol direct radiation effect and was coupled online with a chemical weather model. The AI-NAOS scheme considers black carbon as fractal aggregates and soil dust as super-spheroids, encapsulated with hygroscopic aerosols. Real-case simulations emphasize the necessity of accurately representing nonspherical and inhomogeneous aerosols in chemical weather models.
He Huang, Quan Wang, Chao Liu, and Chen Zhou
Atmos. Meas. Tech., 17, 7129–7141, https://doi.org/10.5194/amt-17-7129-2024, https://doi.org/10.5194/amt-17-7129-2024, 2024
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This study introduces a cloud property retrieval method which integrates traditional radiative transfer simulations with a machine learning method. Retrievals from a machine learning algorithm are used to provide a priori states, and a radiative transfer model is used to create lookup tables for later iteration processes. The new method combines the advantages of traditional and machine learning algorithms, and it is applicable to both daytime and nighttime conditions.
Jing Yang, Jiaojiao Li, Meilian Chen, Xiaoqin Jing, Yan Yin, Bart Geerts, Zhien Wang, Yubao Liu, Baojun Chen, Shaofeng Hua, Hao Hu, Xiaobo Dong, Ping Tian, Qian Chen, and Yang Gao
Atmos. Chem. Phys., 24, 13833–13848, https://doi.org/10.5194/acp-24-13833-2024, https://doi.org/10.5194/acp-24-13833-2024, 2024
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Detecting unambiguous signatures is vital for examining cloud-seeding impacts, but often, seeding signatures are immersed in natural variability. In this study, reflectivity changes induced by glaciogenic seeding using different AgI concentrations are investigated under various conditions, and a method is developed to estimate the AgI concentration needed to detect unambiguous seeding signatures. The results aid in operational seeding-based decision-making regarding the amount of AgI dispersed.
Eui-Jong Kang, Byung-Ju Sohn, Sang-Woo Kim, Wonho Kim, Young-Cheol Kwon, Seung-Bum Kim, Hyoung-Wook Chun, and Chao Liu
Geosci. Model Dev., 17, 8553–8568, https://doi.org/10.5194/gmd-17-8553-2024, https://doi.org/10.5194/gmd-17-8553-2024, 2024
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Sea surface temperature (SST) is vital in climate, weather, and ocean sciences because it influences air–sea interactions. Errors in the ECMWF model's scheme for predicting ocean skin temperature prompted a revision of the ocean mixed layer model. Validation against infrared measurements and buoys showed a good correlation with minimal deviations. The revised model accurately simulates SST variations and aligns with solar radiation distributions, showing promise for weather and climate models.
Hejun Xie, Lei Bi, and Wei Han
Geosci. Model Dev., 17, 5657–5688, https://doi.org/10.5194/gmd-17-5657-2024, https://doi.org/10.5194/gmd-17-5657-2024, 2024
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A radar operator plays a crucial role in utilizing radar observations to enhance numerical weather forecasts. However, developing an advanced radar operator is challenging due to various complexities associated with the wave scattering by non-spherical hydrometeors, radar beam propagation, and multiple platforms. In this study, we introduce a novel radar operator named the Accurate and Efficient Radar Operator developed by ZheJiang University (ZJU-AERO) which boasts several unique features.
Senyi Kong, Zheng Wang, and Lei Bi
Atmos. Chem. Phys., 24, 6911–6935, https://doi.org/10.5194/acp-24-6911-2024, https://doi.org/10.5194/acp-24-6911-2024, 2024
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The retrieval of refractive indices of dust aerosols from laboratory optical measurements is commonly done assuming spherical particles. This paper aims to investigate the uncertainties in the shortwave refractive indices and corresponding optical properties by considering non-spherical and inhomogeneous models for dust samples. The study emphasizes the significance of using non-spherical models for simulating dust aerosols.
Yueyue Cheng, Chao Liu, Jiandong Wang, Jiaping Wang, Zhouyang Zhang, Li Chen, Dafeng Ge, Caijun Zhu, Jinbo Wang, and Aijun Ding
Atmos. Chem. Phys., 24, 3065–3078, https://doi.org/10.5194/acp-24-3065-2024, https://doi.org/10.5194/acp-24-3065-2024, 2024
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Brown carbon (BrC), a light-absorbing aerosol, plays a pivotal role in influencing global climate. However, assessing BrC radiative effects remains challenging because the required observational data are hardly accessible. Here we develop a new BrC radiative effect estimation method combining conventional observations and numerical models. Our findings reveal that BrC absorbs up to a third of the sunlight at 370 nm that black carbon does, highlighting its importance in aerosol radiative effects.
He Huang, Quan Wang, Chao Liu, and Chen Zhou
Atmos. Meas. Tech. Discuss., https://doi.org/10.5194/amt-2024-36, https://doi.org/10.5194/amt-2024-36, 2024
Preprint withdrawn
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This study introduces a cloud property retrieval method which integrates traditional radiative transfer simulations with a machine-learning method. Retrievals from a machine learning algorithm are used to provide initial guesses, and a radiative transfer model is used to create radiance lookup tables for later iteration processes. The new method combines the advantages of traditional and machine learning algorithms, and is applicable both daytime and nighttime conditions.
Naifu Shao, Chunsong Lu, Xingcan Jia, Yuan Wang, Yubin Li, Yan Yin, Bin Zhu, Tianliang Zhao, Duanyang Liu, Shengjie Niu, Shuxian Fan, Shuqi Yan, and Jingjing Lv
Atmos. Chem. Phys., 23, 9873–9890, https://doi.org/10.5194/acp-23-9873-2023, https://doi.org/10.5194/acp-23-9873-2023, 2023
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Fog is an important meteorological phenomenon that affects visibility. Aerosols and the planetary boundary layer (PBL) play critical roles in the fog life cycle. In this study, aerosol-induced changes in fog properties become more remarkable in the second fog (Fog2) than in the first fog (Fog1). The reason is that aerosol–cloud interaction (ACI) delays Fog1 dissipation, leading to the PBL meteorological conditions being more conducive to Fog2 formation and to stronger ACI in Fog2.
Xiumei Zhang, Ronald van der A, Jieying Ding, Xin Zhang, and Yan Yin
Atmos. Chem. Phys., 23, 5587–5604, https://doi.org/10.5194/acp-23-5587-2023, https://doi.org/10.5194/acp-23-5587-2023, 2023
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We compiled a ship emission inventory based on automatic identification system (AIS) signals in the Jiangsu section of the Yangtze River. This ship emission inventory was compared with Chinese bottom-up inventories and the satellite-derived emissions from TROPOMI. The result shows a consistent spatial distribution, with riverine cities having high NOx emissions. Inland ship emissions of NOx are shown to contribute at least 40 % to air pollution along the river.
You Zhao, Chao Liu, Di Di, Ziqiang Ma, and Shihao Tang
Atmos. Meas. Tech., 15, 2791–2805, https://doi.org/10.5194/amt-15-2791-2022, https://doi.org/10.5194/amt-15-2791-2022, 2022
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A typhoon is a high-impact atmospheric phenomenon that causes most significant socioeconomic damage, and its precipitation observation is always needed for typhoon characteristics and disaster prevention. This study developed a typhoon precipitation fusion method to combine observations from satellite radiometers, rain gauges and reanalysis to provide much improved typhoon precipitation datasets.
Xin Zhang, Yan Yin, Ronald van der A, Henk Eskes, Jos van Geffen, Yunyao Li, Xiang Kuang, Jeff L. Lapierre, Kui Chen, Zhongxiu Zhen, Jianlin Hu, Chuan He, Jinghua Chen, Rulin Shi, Jun Zhang, Xingrong Ye, and Hao Chen
Atmos. Chem. Phys., 22, 5925–5942, https://doi.org/10.5194/acp-22-5925-2022, https://doi.org/10.5194/acp-22-5925-2022, 2022
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The importance of convection to the ozone and nitrogen oxides (NOx) produced from lightning has long been an open question. We utilize the high-resolution chemistry model with ozonesondes and space observations to discuss the effects of convection over southeastern China, where few studies have been conducted. Our results show the transport and chemistry contributions for various storms and demonstrate the ability of TROPOMI to estimate the lightning NOx production over small-scale convection.
Jiandong Wang, Jia Xing, Shuxiao Wang, Rohit Mathur, Jiaping Wang, Yuqiang Zhang, Chao Liu, Jonathan Pleim, Dian Ding, Xing Chang, Jingkun Jiang, Peng Zhao, Shovan Kumar Sahu, Yuzhi Jin, David C. Wong, and Jiming Hao
Atmos. Chem. Phys., 22, 5147–5156, https://doi.org/10.5194/acp-22-5147-2022, https://doi.org/10.5194/acp-22-5147-2022, 2022
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Aerosols reduce surface solar radiation and change the photolysis rate and planetary boundary layer stability. In this study, the online coupled meteorological and chemistry model was used to explore the detailed pathway of how aerosol direct effects affect secondary inorganic aerosol. The effects through the dynamics pathway act as an equally or even more important route compared with the photolysis pathway in affecting secondary aerosol concentration in both summer and winter.
Shihan Chen, Yuanjian Yang, Fei Deng, Yanhao Zhang, Duanyang Liu, Chao Liu, and Zhiqiu Gao
Atmos. Meas. Tech., 15, 735–756, https://doi.org/10.5194/amt-15-735-2022, https://doi.org/10.5194/amt-15-735-2022, 2022
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This paper proposes a method for evaluating canopy UHI intensity (CUHII) at high resolution by using remote sensing data and machine learning with a random forest (RF) model. The spatial distribution of CUHII was evaluated at 30 m resolution based on the output of the RF model. The present RF model framework for real-time monitoring and assessment of high-resolution CUHII provides scientific support for studying the changes and causes of CUHII.
Liang Xu, Xiaohuan Liu, Huiwang Gao, Xiaohong Yao, Daizhou Zhang, Lei Bi, Lei Liu, Jian Zhang, Yinxiao Zhang, Yuanyuan Wang, Qi Yuan, and Weijun Li
Atmos. Chem. Phys., 21, 17715–17726, https://doi.org/10.5194/acp-21-17715-2021, https://doi.org/10.5194/acp-21-17715-2021, 2021
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We quantified different types of marine aerosols and explored the Cl depletion of sea salt aerosol (SSA) in the eastern China seas and the northwestern Pacific Ocean. We found that anthropogenic acidic gases in the troposphere were transported longer distances compared to the anthropogenic aerosols and could significantly impact remote marine aerosols. Meanwhile, variations of chloride depletion in SSA can serve as a potential indicator for anthropogenic gaseous pollutants in remote marine air.
Xinyan Li, Yuanjian Yang, Jiaqin Mi, Xueyan Bi, You Zhao, Zehao Huang, Chao Liu, Lian Zong, and Wanju Li
Atmos. Meas. Tech., 14, 7007–7023, https://doi.org/10.5194/amt-14-7007-2021, https://doi.org/10.5194/amt-14-7007-2021, 2021
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A random forest (RF) model framework for Fengyun-4A (FY-4A) daytime and nighttime quantitative precipitation estimation (QPE) is established using FY-4A multi-band spectral information, cloud parameters, high-density precipitation observations and physical quantities from reanalysis data. The RF model of FY-4A QPE has a high accuracy in estimating precipitation at the heavy-rain level or below, which has advantages for quantitative estimation of summer precipitation over East Asia in future.
Cited articles
Bi, J., Huang, J., Fu, Q., Wang, X., Shi, J., Zhang, W., Huang, Z., and Zhang, B.: Toward characterization of the aerosol optical
properties over Loess Plateau of Northwestern China, J. Quant. Spectrosc. Ra., 112, 346–360, https://doi.org/10.1016/j.jqsrt.2010.09.006, 2011.
Bi, L., Yang, P., Kattawar, G. W., and Kahn, R.: Single-scattering properties of triaxial ellipsoidal particles for a size parameter range
from the Rayleigh to geometric-optics regimes, Appl. Optics, 48, 114–126, https://doi.org/10.1364/AO.48.000114, 2009.
Bi, L., Yang, P., Kattawar, G. W., and Kahn, R.: Modeling optical properties of mineral aerosol particles by using nonsymmetric hexahedra,
Appl. Optics, 49, 334–342, https://doi.org/10.1364/AO.49.000334, 2010.
Bi, L., Yang, P., Kattawar, G. W., and Mishchenko, M. I.: Efficient implementation of the invariant imbedding t-matrix method and the
separation of variables method applied to large nonspherical inhomogeneous particles, J. Quant. Spectrosc. Ra., 116, 169–183,
https://doi.org/10.1016/j.jqsrt.2012.11.014, 2013.
Bi, L., Yang, P., Liu, C., Yi, B., Baum, B. A., Van Diedenhoven, B., and Iwabuchi, H.: Assessment of the accuracy of the conventional
ray-tracing technique: implications in remote sensing and radiative transfer involving ice clouds, J. Quant. Spectrosc. Ra., 146, 158–174,
https://doi.org/10.1016/j.jqsrt.2014.03.017, 2014.
Bi, L., Lin, W., Liu, D., and Zhang, K. J.: Assessing the depolarization capabilities of nonspherical particles in a super-ellipsoidal
shape space, Opt. Express, 26, 1726–1742, https://doi.org/10.1364/oe.26.001726, 2018a.
Bi, L., Lin, W., Wang, Z., Tang, X., Zhang, X., and Yi, B.: Optical modeling of sea salt aerosols: the effects of non-sphericity and
inhomogeneity, J. Geophys. Res., 123, 543–558, https://doi.org/10.1002/2017JD027869, 2018b.
Chýlek, P., Kiehl, J. T., and Ko, M. K. W.: Optical levitation and partial-wave resonances, Phys. Rev. A, 18, 2229–2233,
https://doi.org/10.1103/PhysRevA.18.2229, 1978.
Dubovik, O., Holben, B. N., Lapyonok, T., Sinyuk, A., Mishchenko, M. I., Yang, P., and Slutsker, I.: Non-spherical aerosol retrieval
method employing light scattering by spheroids, Geophys. Res. Lett., 29, 54, https://doi.org/10.1029/2001gl014506, 2002.
Dubovik, O., Sinyuk, A., Lapyonok, T., Holben, B. N., Mishchenko, M., Yang, P., Eck, T. F., Volten, H., Muñoz, O., Veihelmann, B.,
van der Zande, W. J., Leon, J.-F., Sorokin, M., and Slutsker, I.: Application of spheroid models to account for aerosol particle nonsphericity in
remote sensing of desert dust, J. Geophys. Res., 111, D11208, https://doi.org/10.1029/2005JD006619, 2006.
Falconer, K. J.: Fractal Geometry: Mathematical Foundations and Applications, Wiley, 46, 499, https://doi.org/10.2307/2532125, 2004.
Feng, Q., Yang, P., Kattawar, G. W., Hsu, C. N., Tsay, S. C., and Laszlo, I.: Effects of particle nonsphericity and radiation
polarization on retrieving dust properties from MODIS observations, J. Aerosol Sci., 40, 776–789, https://doi.org/10.1016/j.jaerosci.2009.05.001, 2009.
Ge, J. M., Su, J., Fu, Q., Ackerman, T. P., and Huang, J. P.: Dust aerosol forward scattering effects on ground-based aerosol optical
depth retrievals, J. Quant. Spectrosc. Ra., 112, 310–319, https://doi.org/10.1016/j.jqsrt.2010.07.006, 2011.
Grynko, Y., Shkuratov, Y., and Förstner, J.: Light scattering by randomly irregular dielectric particles larger than the wavelength,
Opt. Lett., 38, 5153–5156, https://doi.org/10.1364/OL.38.005153, 2013.
Hess, M., Koepke, P., and Schult, I.: Optical properties of aerosols and clouds: The software package OPAC, B. Am. Meteorol. Soc., 79,
831–844, https://doi.org/10.1175/1520-0477(1998)079<0831:OPOAAC>2.0.CO;2, 1998.
Huang, Y. and Liu, C.: DATA_FOR_ACP-2019-812, available at: https://github.com/YifanHuang0916/DATA_FOR_ACP-2019-812/, last access: 27 February 2020.
Huang, J., Wang, T., Wang, W., Li, Z., and Yan, H.: Climate effects of dust aerosols over East Asian arid and semiarid regions,
J. Geophys. Res., 119, 11398–11416, https://doi.org/10.1002/2014JD021796, 2014.
IPCC: Climate Change 2014: Synthesis Report, Contribution of Working Groups I, II and III to the Fifth Assessment Report of the
Intergovernmental Panel on Climate Change, edited by: Core Writing Team, Pachauri, R. K., Meyer, L. A., IPCC, Geneva, Switzerland, 151 p., 2014.
Ishimoto, H., Zaizen, Y., Uchiyama, A., Masuda, K., and Mano, Y.: Shape modeling of mineral dust particles for light-scattering
calculations using the spatial poisson-voronoi tessellation, J. Quant. Spectrosc. Ra., 111, 2434–2443, https://doi.org/10.1016/j.jqsrt.2010.06.018, 2010.
Jin, C., Liu, C., Yin, Y., Bi, L., and Nousiainen, T.: Modeling the scattering phase matrix of red clays, Opt. Lett., 41, 4879–4882,
https://doi.org/10.1364/OL.41.004879, 2016.
Kahn, R. A., Gaitley, B. J., Martonchik, J. V., Diner, D. J., and Crean, K. A.: Multiangle imaging spectroradiometer (MISR) global
aerosol optical depth validation based on 2 years of coincident aerosol robotic network (AERONET) observations, J. Geophys. Res., 110, D10S04,
https://doi.org/10.1029/2004JD004706, 2005.
Kahnert, M. and Nousiainen, T.: Uncertainties in measured and modelled asymmetry parameters of mineral dust aerosols,
J. Quant. Spectrosc. Ra., 100, 173–178, https://doi.org/10.1016/j.jqsrt.2005.11.035, 2006.
Kahnert, M., Nousiainen, T., and Lindqvist, H.: Review: Model particles in atmospheric optics, J. Quant. Spectrosc. Ra., 146, 41–58,
https://doi.org/10.1016/j.jqsrt.2014.02.014, 2014.
Kandler, K., Benker, N., Bundke, U., Cuevas, E., Ebert, M., Knippertz, P., Rodríguez, S., Schütz, L., and Weinbruch, S.:
Chemical composition and complex refractive index of Saharan Mineral Dust at Izana, Tenerife (Spain) derived by electron microscopy,
Atmos. Environ., 41, 8058–8074, https://doi.org/10.1016/j.atmosenv.2007.06.047, 2007.
Kemppinen, O., Nousiainen, T., Merikallio,S., and Räisänen, P.: Retrieving microphysical properties of dust-like particles using
ellipsoids: the case of refractive index, Atmos. Chem. Phys., 15, 11117–11132, https://doi.org/10.5194/acp-15-11117-2015, 2015.
Koepke, P. and Hess, M.: Scattering functions of tropospheric aerosols: The effects of non-spherical particles, Appl. Optics, 27,
2422–2430, https://doi.org/10.1364/AO.27.002422, 1988.
Koepke, P., Hess, M., Schult, I., and Shettle, E. P.: Global Aerosol Data Set, Report No. 243, Max-Planck-Institut für Meteorologie,
Hamburg, ISSN 0937-1060, 1997.
Lin, W., Bi, L., and Dubovik, O.: Assessing super-spheroids in modelling the scattering matrices of dust aerosols, J. Geophys. Res., 123,
13917–13943, https://doi.org/10.1029/2018JD029464, 2018.
Lindqvist, H., Jokinen, O., Kandler, K., Scheuvens, D., and Nousiainen, T.: Single scattering by realistic, inhomogeneous mineral dust
particles with stereogrammetric shapes, Atmos. Chem. Phys., 14, 143–157, https://doi.org/10.5194/acp-14-143-2014, 2014.
Liu, C., Panetta, R. L., and Yang, P.: Application of the pseudo-spectral time domain method to compute particle single-scattering
properties for size parameters up to 200, J. Quant. Spectrosc. Ra., 113, 1728–1740, https://doi.org/10.1016/j.jqsrt.2012.04.021, 2012.
Liu, C., Panetta, R. L., Yang, P., Macke, A., and Baran, A. J.: Modeling the scattering properties of mineral aerosols using concave
fractal polyhedra, Appl. Optics, 52, 640–652, https://doi.org/10.1364/AO.52.000640, 2013.
Liu, C., Panetta, R. L., and Yang, P.: The effective equivalence of geometric irregularity and surface roughness in determining particle
single-scattering properties, Opt. Express, 22, 23620–23627, https://doi.org/10.1364/OE.22.023620, 2014.
Liu, C., Xu, X., Yin, Y., Schnaiter, M., and Yung, Y. L.: Black carbon aggregates: an optical property database,
J. Quant. Spectrosc. Ra., 222, 170–179, https://doi.org/10.1016/j.jqsrt.2018.10.021, 2019.
Liu, Q. H.: The PSTD algorithm: A time-domain method requiring only two cells per wavelength, Microw. Opt. Technol. Lett., 15, 158–165,
https://doi.org/10.1002/(SICI)1098-2760(19970620)15:3<158::AID-MOP11>3.0.CO;2-3, 1997.
Macke, A., Mueller, J., and Raschke, E.: Single scattering properties of atmospheric ice crystals, J. Atmos. Sci., 53, 2813–2825,
https://doi.org/10.1175/1520-0469(1996)053<2813:SSPOAI>2.0.CO;2, 1996.
Meng, Z. K., Yang, P., Kattawar, G. W., Bi, L., Liou, K. N., and Laszlo, I.: Single-scattering properties of tri-axial ellipsoidal
mineral dust aerosols: A database for application to radiative transfer calculations, J. Aerosol Sci., 41, 501–512,
https://doi.org/10.1016/j.jaerosci.2010.02.008, 2010.
Merikallio, S., Lindqvist, H., Nousiainen, T., and Kahnert, M.: Modelling light scattering by mineral dust using spheroids: assessment of
applicability, Atmos. Chem. Phys., 11, 5347–5363, https://doi.org/10.5194/acp-11-5347-2011, 2011.
Merikallio, S., Nousiainen, T., Kahnert, M., and Harri, A. M.: Light scattering by the Martian dust analog, palagonite, modeled with
ellipsoids, Opt. Express, 21, 17972–17985, https://doi.org/10.1364/OE.21.017972, 2013.
Mishchenko, M. I., Travis, L. D., Kahn, R. A., and West, R. A.: Modeling phase functions for dustlike tropospheric aerosols using a shape
mixture of randomly oriented polydisperse spheroids, J. Geophys. Res., 102, 16831–16847, https://doi.org/10.1029/96jd02110, 1997.
Muñoz, O., Moreno, F., Guirado, D., Dabrowska, D. D., Volten, H., and Hovenier, J. W.: The Amsterdam–Granada Light Scattering
Database, J. Quant. Spectrosc. Ra., 113, 565–574, https://doi.org/10.1016/j.jqsrt.2012.01.014, 2012.
Nousiainen, T.: Optical modeling of mineral dust particles: A review, J. Quant. Spectrosc. Ra., 110, 1261–1279,
https://doi.org/10.1016/j.jqsrt.2009.03.002, 2009.
Nousiainen, T. and Kandler, K.: Light scattering by atmospheric mineral dust particles, in: Light Scattering Reviews 9, edited by:
Kokhanovsky, A. A., Springer Praxis Books, Springer, Berlin, Heidelberg, Germany, pp. 3–52, https://doi.org/10.1007/978-3-642-37985-7, 2015.
Osborne, S. R., Baran, A. J., Johnson, B. T., Haywood, J. M., Hesse, E., and Newman, S.: Short-wave and long-wave radiative properties of
Saharan dust aerosol, Q. J. R. Meteorol. Soc., 137, 1149–1167, https://doi.org/10.1002/qj.771, 2011.
Sokolik, I. N. and Toon, O. B.: Incorporation of mineralogical composition into models of the radiative properties of mineral aerosol
from UV to IR wavelengths, J. Geophys. Res., 104, 9423–9444, https://doi.org/10.1029/1998JD200048, 1999.
Sokolik, I. N., Winker, D. M., Bergametti, G., Gillette, D. A., Carmichael, G., Kaufman, Y. J., Gomes, L., Schuetz, L., Penner, J. E.: Introduction to special section: outstanding problems in quantifying the radiative impacts of mineral dust, J. Geophys. Res., 106, 18015–18027, https://doi.org/10.1029/2000JD900498, 2001.
Stegmann, P. and Yang, P.: A regional, size-dependent, and causal effective medium model for Asian and Saharan mineral dust refractive
index spectra, J. Aerosol Sci., 114, 327–341, https://doi.org/10.1016/j.jaerosci.2017.10.003, 2017.
Tang, H. and Lin, J. Z.: Modeling of scattering properties of mineral aerosols using modified beta function, J. Geophys. Res., 118,
5570–5587, https://doi.org/10.1002/jgrd.50343, 2013.
Volten, H., Muñoz, O., Rol, E., De Haan, J. F., Vassen, W., Hovenier, J. W., Muinonen, K., and Nousiainen, T.: Scattering matrices of
mineral particles at 442 nm and 633 nm, J. Geophys. Res., 106, 17375–17401, https://doi.org/10.1029/2001JD900068, 2001.
Volten, H., Muñoz, O., Hovenier, J. W., and Waters, L. B. F. M.: An update of the Amsterdam light scattering database,
J. Quant. Spectrosc. Ra., 100, 437–443, https://doi.org/10.1016/j.jqsrt.2005.11.055, 2006.
Volten, H., Muñoz, O., Hovenier, J., and Waters, R.: The Amsterdam Light Scattering Database, available at: https://www.iaa.csic.es/scattering/amsterdam/ (last access: 27 February 2020), 2012.
Xu, F., van Harten, G., Diner, D. J., Kalashnikova, O. V., Seidel, F. C., Bruegge, C. J., and Dubovik, O.: Coupled retrieval of aerosol
properties and land surface reflection using the Airborne Multiangle SpectroPolarimetric Imager, J. Geophys. Res., 122, 7004–7026,
https://doi.org/10.1002/2017JD026776, 2017a.
Xu, G. L., Stegmann, P. G., Brooks, S. D., and Yang, P.: Modeling the single and multiple scattering properties of soot-laden mineral
dust aerosols, Opt. Express, 25, A990–A1008, https://doi.org/10.1364/OE.25.00A990, 2017b.
Yang, P. and Liou, K. N.: Finite-difference time domain method for light scattering by small ice crystals in three-dimensional space,
J. Opt. Soc. Am., A 13, 2072–2085, https://doi.org/10.1364/JOSAA.13.002072, 1996a.
Yang, P. and Liou, K. N.: Geometric-optics-integral-equation method for light scattering by nonspherical ice crystals, Appl. Optics, 35,
6568–6584, https://doi.org/10.1364/AO.35.006568, 1996b.
Yang, P. and Liou, K. N.: Single-scattering properties of complex ice crystals in terrestrial atmosphere, Contr. Atmos. Phys., 71,
223–248, 1998.
Yi, B., Hsu, C. N., Yang, P., and Tsay, S. C.: Radiative transfer simulation of dust-like aerosols: Uncertainties from particle shape and
refractive index, J. Aerosol Sci., 42, 631–644, https://doi.org/10.1016/j.jaerosci.2011.06.008, 2011.
Yurkin, M. A. and Hoekstra, A. G.: The discrete-dipole-approximation code ADDA: capabilities and known limitations,
J. Quant. Spectrosc. Ra., 112, 2234–2247, https://doi.org/10.1016/j.jqsrt.2011.01.031, 2011.
Short summary
Dust optical properties are necessary to quantify aerosol radiative effects and to retrieve their properties. This study reveals the importance of the dust refractive index (RI) for the model development of its optical properties. Our results indicate that the scattering matrix elements of different dust particles can be reasonably reproduced by choosing appropriate RIs but a fixed particle geometry, and the RI influences the scattering matrix elements differently from geometric factors.
Dust optical properties are necessary to quantify aerosol radiative effects and to retrieve...
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