196 citations as recorded by crossref.

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2. Discussion of the spectral slope of the lidar ratio between 355 and 1064 nm from multiwavelength Raman lidar observations M. Haarig et al. https://doi.org/10.5194/acp-25-7741-2025
3. Aerosol optical hygroscopicity measurements during the 2010 CARES campaign D. Atkinson et al. https://doi.org/10.5194/acp-15-4045-2015
4. Aerosol light-scattering enhancement due to water uptake during the TCAP campaign G. Titos et al. https://doi.org/10.5194/acp-14-7031-2014
5. Hygroscopic growth study in the framework of EARLINET during the SLOPE I campaign: synergy of remote sensing and in situ instrumentation A. Bedoya-Velásquez et al. https://doi.org/10.5194/acp-18-7001-2018
6. Hygroscopic growth of atmospheric aerosol particles based on active remote sensing and radiosounding measurements: selected cases in southeastern Spain M. Granados-Muñoz et al. https://doi.org/10.5194/amt-8-705-2015
7. The Spectral Aerosol Extinction Monitoring System (SǼMS): setup, observational products, and comparisons A. Skupin et al. https://doi.org/10.5194/amt-7-701-2014
8. Fundamental investigation of photoacoustic signal generation from single aerosol particles at varying relative humidity M. Diveky et al. https://doi.org/10.1016/j.pacs.2020.100170
9. Low-Cost Particulate Matter Mass Sensors: Review of the Status, Challenges, and Opportunities for Single-Instrument and Network Calibration J. Zhang et al. https://doi.org/10.1021/acssensors.4c03293
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11. Assessing the Potential of Geostationary Satellites for Aerosol Remote Sensing Based on Critical Surface Albedo X. Ceamanos et al. https://doi.org/10.3390/rs11242958
12. 532 nm SLR laser atmospheric transmittance dynamic correction model and application Z. Liu et al. https://doi.org/10.1088/2631-8695/ae1f63
13. Influence of aerosol hygroscopicity and mixing state on aerosol optical properties in the Pearl River Delta region, China L. Liu et al. https://doi.org/10.1016/j.scitotenv.2018.01.199
14. Estimating atmospheric visibility and PM from Doppler wind lidar with traditional and machine learning models W. Xu et al. https://doi.org/10.1016/j.optlastec.2025.114338
15. Observations of relative humidity effects on aerosol light scattering in the Yangtze River Delta of China L. Zhang et al. https://doi.org/10.5194/acp-15-8439-2015
16. Quantifying particle-to-particle heterogeneity in aerosol hygroscopicity L. Yuan & C. Zhao https://doi.org/10.5194/acp-23-3195-2023
17. Mass extinction spectra and size distribution measurements of quartz and amorphous silica aerosol at 0.33–19 µm compared to modelled extinction using Mie, CDE, and T -matrix theories B. Reed et al. https://doi.org/10.1016/j.jqsrt.2017.05.011
18. Evolution of tropospheric aerosols over central China during 2010–2024 as observed by lidar D. Jing et al. https://doi.org/10.5194/acp-25-17047-2025
19. Estimating cloud condensation nuclei concentrations from CALIPSO lidar measurements G. Choudhury & M. Tesche https://doi.org/10.5194/amt-15-639-2022
20. Investigation of hygroscopic growth effect on aerosol scattering coefficient at a rural site in the southern North China Plain Y. Wu et al. https://doi.org/10.1016/j.scitotenv.2017.04.194
21. Low hygroscopic scattering enhancement of boreal aerosol and the implications for a columnar optical closure study P. Zieger et al. https://doi.org/10.5194/acp-15-7247-2015
22. First results from light scattering enhancement factor over central Indian Himalayas during GVAX campaign U. Dumka et al. https://doi.org/10.1016/j.scitotenv.2017.06.138
23. Moisture Removal Techniques for a Continuous Emission Monitoring System: A Review T. Dinh & J. Kim https://doi.org/10.3390/atmos12010061
24. Measurement report: Characterization of aerosol hygroscopicity over Southeast Asia during the NASA CAMP2Ex campaign G. Lorenzo et al. https://doi.org/10.5194/acp-25-5469-2025
25. Real Time Derivation of Atmospheric Aerosol Optical Properties by Concurrent Measurements of Optical and Sampling Instruments J. Aminuddin et al. https://doi.org/10.4236/ojap.2018.72008
26. Dependence of water vapor radiative forcing on aerosol loading: Analyses over the densely populated and highly polluted Indo-Gangetic Plain region U. Dumka et al. https://doi.org/10.1016/j.atmosres.2025.108343
27. Relationship between the planetary boundary layer height and the particle scattering coefficient at the surface M. Perrone & S. Romano https://doi.org/10.1016/j.atmosres.2018.04.017
28. Long-term observations of tropospheric particle number size distributions and equivalent black carbon mass concentrations in the German Ultrafine Aerosol Network (GUAN) W. Birmili et al. https://doi.org/10.5194/essd-8-355-2016
29. Meteorological and anthropogenic contributions to changes in the Aerosol Optical Depth (AOD) over China during the last decade G. de Leeuw et al. https://doi.org/10.1016/j.atmosenv.2023.119676
30. Reconciling aerosol light extinction measurements from spaceborne lidar observations and in situ measurements in the Arctic M. Tesche et al. https://doi.org/10.5194/acp-14-7869-2014
31. Experimental study of smog microphysical and optical vertical structure in the Silesian Beskids, Poland M. Posyniak et al. https://doi.org/10.1016/j.apr.2021.101171
32. Analysis of PM2.5 Mass Extinction Efficiency Characteristics in Busan, South Korea Using Long-Term Scanning LiDAR Observations J. Yoon et al. https://doi.org/10.7780/kjrs.2026.42.1.3
33. Performance Assessment of Portable Optical Particle Spectrometer (POPS) F. Mei et al. https://doi.org/10.3390/s20216294
34. Aerosol hygroscopicity parameter derived from the light scattering enhancement factor measurements in the North China Plain J. Chen et al. https://doi.org/10.5194/acp-14-8105-2014
35. Tropical and Boreal Forest – Atmosphere Interactions: A Review P. Artaxo et al. https://doi.org/10.16993/tellusb.34
36. Experimental determination of the temperature dependence of water activities for a selection of aqueous organic solutions G. Ganbavale et al. https://doi.org/10.5194/acp-14-9993-2014
37. The different sensitivities of aerosol optical properties to particle concentration, humidity, and hygroscopicity between the surface level and the upper boundary layer in Guangzhou, China X. Jin et al. https://doi.org/10.1016/j.scitotenv.2021.150010
38. Aerosol hygroscopicity over the southeast Atlantic Ocean during the biomass burning season – Part 1: From the perspective of scattering enhancement​​​​​​​ L. Zhang et al. https://doi.org/10.5194/acp-24-13849-2024
39. Study of the relative humidity dependence of aerosol light-scattering in southern Spain G. Titos et al. https://doi.org/10.3402/tellusb.v66.24536
40. Climatological study for understanding the aerosol radiative effects at southwest Atlantic coast of Europe M. Sorribas et al. https://doi.org/10.1016/j.atmosenv.2019.02.017
41. Development of an incoherent broad-band cavity-enhanced aerosol extinction spectrometer and its application to measurement of aerosol optical hygroscopicity W. Zhao et al. https://doi.org/10.1364/AO.56.000E16
42. Seasonal variation of aerosol water uptake and its impact on the direct radiative effect at Ny-Ålesund, Svalbard N. Rastak et al. https://doi.org/10.5194/acp-14-7445-2014
43. Revising the hygroscopicity of inorganic sea salt particles P. Zieger et al. https://doi.org/10.1038/ncomms15883
44. An alternative method for estimating hygroscopic growth factor of aerosol light-scattering coefficient: a case study in an urban area of Guangzhou, South China Z. Lin et al. https://doi.org/10.5194/acp-14-7631-2014
45. Aerosol climatology over the Mexico City basin: Characterization of optical properties G. Carabali et al. https://doi.org/10.1016/j.atmosres.2017.04.035
46. A first global height-resolved cloud condensation nuclei data set derived from spaceborne lidar measurements G. Choudhury & M. Tesche https://doi.org/10.5194/essd-15-3747-2023
47. The radiative impact of out-of-cloud aerosol hygroscopic growth during the summer monsoon in southern West Africa S. Haslett et al. https://doi.org/10.5194/acp-19-1505-2019
48. Hygroscopic aerosols amplify longwave downward radiation in the Arctic D. Ji et al. https://doi.org/10.5194/acp-25-3889-2025
49. Estimation of Surface PM2.5 Concentration from Satellite Aerosol Optical Depth Using a Constrained Observation-Based Model O. Fawole et al. https://doi.org/10.3390/cli14010001
50. Hygroscopicity of Different Types of Aerosol Particles: Case Studies Using Multi-Instrument Data in Megacity Beijing, China T. Wu et al. https://doi.org/10.3390/rs12050785
51. Temperature Dependence in Efflorescence Relative Humidity of (NH4)2SO4 and NaCl Particles: A Theoretical Study Using Classical Nucleation Theory X. Luo et al. https://doi.org/10.1021/acsearthspacechem.5c00079
52. Marine cloud brightening – as effective without clouds L. Ahlm et al. https://doi.org/10.5194/acp-17-13071-2017
53. Water uptake of subpollen aerosol particles: hygroscopic growth, cloud condensation nuclei activation, and liquid–liquid phase separation E. Mikhailov et al. https://doi.org/10.5194/acp-21-6999-2021
54. 2014 iAREA campaign on aerosol in Spitsbergen – Part 1: Study of physical and chemical properties J. Lisok et al. https://doi.org/10.1016/j.atmosenv.2016.05.051
55. Parameterization of polydisperse aerosol optical properties during hygroscopic growth C. Jung et al. https://doi.org/10.1080/02786826.2023.2211121
56. Spatial distribution of aerosol hygroscopicity and its effect on PM2.5 retrieval in East China Q. He et al. https://doi.org/10.1016/j.atmosres.2015.11.011
57. Quantifying the effects of mixing state on aerosol optical properties Y. Yao et al. https://doi.org/10.5194/acp-22-9265-2022
58. Aerosol effective radius governs the relationship between cloud condensation nuclei (CCN) concentration and aerosol backscatter E. Lenhardt et al. https://doi.org/10.5194/acp-25-13747-2025
59. The white-light humidified optical particle spectrometer (WHOPS) – a novel airborne system to characterize aerosol hygroscopicity B. Rosati et al. https://doi.org/10.5194/amt-8-921-2015
60. Continuous observations from horizontally pointing lidar, weather parameters and PM2.5: a pre-deployment assessment for monitoring radioactive dust in Fukushima, Japan N. Lagrosas et al. https://doi.org/10.5194/amt-16-5937-2023
61. Measurement report: Comparison of airborne, in situ measured, lidar-based, and modeled aerosol optical properties in the central European background – identifying sources of deviations S. Düsing et al. https://doi.org/10.5194/acp-21-16745-2021
62. Insights into aerosol scattering enhancement and radiative effects from an intensive wintertime campaign at El Arenosillo, southwestern Europe M. Jiménez-Martín et al. https://doi.org/10.1016/j.atmosenv.2026.122213
63. A review of experimental techniques for aerosol hygroscopicity studies M. Tang et al. https://doi.org/10.5194/acp-19-12631-2019
64. Relationships Among Aerosol Particles, Airborne Bacteria, and Microclimatic Factors in an Enclosed Dairy Milking Barn M. Islam et al. https://doi.org/10.1007/s41810-025-00298-0
65. Global Gridded Aerosol Models Established for Atmospheric Correction Over Inland and Nearshore Coastal Waters D. Zhao et al. https://doi.org/10.1029/2023JD038815
66. Long-term analysis of AOD separated by aerosol type in East Asia J. Shin et al. https://doi.org/10.1016/j.atmosenv.2023.119957
67. Weighing picogram aerosol droplets with an optical balance O. Reich et al. https://doi.org/10.1038/s42005-020-00496-x
68. Characteristics of Aerosol Extinction Hygroscopic Growth in the Typical Coastal City of Qingdao, China N. Liu et al. https://doi.org/10.3390/rs14246288
69. Exploring the impact of chemical composition on aerosol light extinction during winter in a heavily polluted urban area of China Y. Zhou et al. https://doi.org/10.1016/j.jenvman.2019.06.100
70. Reducing Aerosol Forcing Uncertainty by Combining Models With Satellite and Within‐The‐Atmosphere Observations: A Three‐Way Street R. Kahn et al. https://doi.org/10.1029/2022RG000796
71. A review of current knowledge concerning PM2. 5 chemical composition, aerosol optical properties and their relationships across China J. Tao et al. https://doi.org/10.5194/acp-17-9485-2017
72. Investigation of air pollution in India in terms of climate change and ecological environment problem with optical methods S. Yilmaz https://doi.org/10.1140/epjd/s10053-025-01019-5
73. Mass Extinction Efficiency Approximation for Polydispersed Aerosol Using Harmonic Mean-Type Approximation J. Um et al. https://doi.org/10.3390/app10238637
74. Influence of relative humidity on aerosol composition: Impacts on light extinction and visibility impairment at two sites in coastal area of China W. Qu et al. https://doi.org/10.1016/j.atmosres.2014.10.009
75. Aerosol microphysical and optical closure study in the Baltic Sea coastal zone K. Markowicz et al. https://doi.org/10.1016/j.jaerosci.2025.106741
76. A global model–measurement evaluation of particle light scattering coefficients at elevated relative humidity M. Burgos et al. https://doi.org/10.5194/acp-20-10231-2020
77. Dry versus wet marine particle optical properties: RH dependence of depolarization ratio, backscatter, and extinction from multiwavelength lidar measurements during SALTRACE M. Haarig et al. https://doi.org/10.5194/acp-17-14199-2017
78. Study of aerosol hygroscopic events over the Cabauw experimental site for atmospheric research (CESAR) using the multi-wavelength Raman lidar Caeli A. Fernández et al. https://doi.org/10.1016/j.atmosenv.2015.08.079
79. Effects of hygroscopicity on aerosol optical properties and direct radiative forcing in Beijing: Based on two-year observations C. Xia et al. https://doi.org/10.1016/j.scitotenv.2022.159233
80. Assessment of Hygroscopic Behavior of Arctic Aerosol by Contemporary Lidar and Radiosonde Observations N. Eggers et al. https://doi.org/10.3390/rs16163087
81. Impacts of artificial cloud seeding on surface PM2.5 and PM10 scavenging in the Yangtze River Delta J. Sun et al. https://doi.org/10.1016/j.jes.2026.01.043
82. Design and Evaluation of a Calibration Chamber for Low-Cost PM Sensors–Part 2: Mass Concentration-Based Assessment V. Malyan et al. https://doi.org/10.1021/acsestair.6c00161
83. From a polar to a marine environment: has the changing Arctic led to a shift in aerosol light scattering properties? D. Heslin-Rees et al. https://doi.org/10.5194/acp-20-13671-2020
84. Evaluation of ECMWF-IFS (version 41R1) operational model forecasts of aerosol transport by using ceilometer network measurements K. Chan et al. https://doi.org/10.5194/gmd-11-3807-2018
85. Water uptake and optical properties of mixed organic-inorganic particles L. Nandy et al. https://doi.org/10.1080/02786826.2021.1966378
86. A new technique to retrieve aerosol vertical profiles using micropulse lidar and ground-based aerosol measurements B. Chen et al. https://doi.org/10.5194/amt-18-5841-2025
87. Technical note: Quantified organic aerosol subsaturated hygroscopicity by a simple optical scatter monitor system through field measurements J. Zhang et al. https://doi.org/10.5194/acp-24-13445-2024
88. Environmental factors predicting the orientation of sea turtle hatchlings on a naturally lighted beach: A baseline for light-management goals S. Hirama et al. https://doi.org/10.1016/j.jembe.2021.151568
89. Hygroscopic growth of single atmospheric sea salt aerosol particles from mass measurement in an optical trap O. Reich et al. https://doi.org/10.1039/D2EA00129B
90. Fine Particle Formation and Dependence of Wet Deposition on Precipitation Intensity in an Urban Area H. Liu et al. https://doi.org/10.1080/07055900.2024.2325921
91. Current challenges in the visibility improvement of urban Chongqing in Southwest China: From the perspective of PM2.5-bound water uptake property over 2015–2021 Y. Hao et al. https://doi.org/10.1016/j.atmosres.2023.107215
92. Influence of relative humidity on real-time measurements of particulate matter concentration via light scattering J. Han et al. https://doi.org/10.1016/j.jaerosci.2019.105462
93. A Physics-Informed Framework Linking Satellite AOD and Ambient Particulate Matter: A Pilot Study G. Proietti Pelliccia et al. https://doi.org/10.3390/atmos17070627
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95. Vertical profiles of optical and microphysical particle properties above the northern Indian Ocean during CARDEX 2012 F. Höpner et al. https://doi.org/10.5194/acp-16-1045-2016
96. Subsaturated aerosol hygroscopicity over the northwest Atlantic: Impacts of seasonal factors, offshore location, and clouds G. Lorenzo et al. https://doi.org/10.1016/j.atmosenv.2025.121662
97. Aerosol transparency-dependent femtosecond 1 kHz laser filamentation in air Z. Hou et al. https://doi.org/10.1016/j.optcom.2025.132576
98. Assessment of Approximations in Aerosol Optical Properties and Vertical Distribution into FLEX Atmospherically-Corrected Surface Reflectance and Retrieved Sun-Induced Fluorescence J. Vicent et al. https://doi.org/10.3390/rs9070675
99. Analysis of the atmospheric visibility influencing factors under sea–land breeze circulation N. Liu et al. https://doi.org/10.1364/OE.447141
100. Research on the distribution and influencing factors of fine mode aerosol optical depth (AODf) in China H. Xu et al. https://doi.org/10.1016/j.atmosenv.2024.120721
101. A global study of hygroscopicity-driven light-scattering enhancement in the context of other in situ aerosol optical properties G. Titos et al. https://doi.org/10.5194/acp-21-13031-2021
102. HETEAC – the Hybrid End-To-End Aerosol Classification model for EarthCARE U. Wandinger et al. https://doi.org/10.5194/amt-16-2485-2023
103. Hygroscopic Growth of Glyoxal Aqueous Aerosol Revealed by Infrared Extinction Spectra K. Liu & L. Chu https://doi.org/10.1021/acsestair.5c00161
104. In situ measurements of angular-dependent light scattering by aerosols over the contiguous United States W. Espinosa et al. https://doi.org/10.5194/acp-18-3737-2018
105. Mapping and Understanding Patterns of Air Quality Using Satellite Data and Machine Learning R. Stirnberg et al. https://doi.org/10.1029/2019JD031380
106. Low-cost sensors and Machine Learning aid in identifying environmental factors affecting particulate matter emitted by household heating A. Hassani et al. https://doi.org/10.1016/j.atmosenv.2023.120108
107. Relative humidity vertical profiling using lidar-based synergistic methods in the framework of the Hygra-CD campaign L. Labzovskii et al. https://doi.org/10.5194/angeo-36-213-2018
108. A Case Study on the Long-Term Field Performance of a Frost-based Moisture Pretreatment Device for Sensor-Based Telemonitoring Systems S. Lee et al. https://doi.org/10.5572/KOSAE.2024.40.6.733
109. Deliquescent phenomena of ambient aerosols on the North China Plain Y. Kuang et al. https://doi.org/10.1002/2016GL070273
110. An Analysis of Factors Influencing the Relationship between Satellite-Derived AOD and Ground-Level PM10 R. Stirnberg et al. https://doi.org/10.3390/rs10091353
111. Measurement report: Spectral and statistical analysis of aerosol hygroscopic growth from multi-wavelength lidar measurements in Barcelona, Spain M. Sicard et al. https://doi.org/10.5194/acp-22-7681-2022
112. Measurement report: Vertically resolved atmospheric properties observed over the Southern Great Plains with the ArcticShark uncrewed aerial system F. Mei et al. https://doi.org/10.5194/acp-25-3425-2025
113. Marine aerosol properties over the Southern Ocean in relation to the wintertime meteorological conditions M. Thomas et al. https://doi.org/10.5194/acp-22-119-2022
114. Impact of aerosol hygroscopic growth on the direct aerosol radiative effect in summer on North China Plain Y. Kuang et al. https://doi.org/10.1016/j.atmosenv.2016.10.013
115. Seasonal aerosol variations at the Land-Ocean boundary: Insights from a global AERONET network analysis J. Zhao et al. https://doi.org/10.1016/j.envint.2026.110158
116. Suitability of Low-Cost Sensors for Submicron Aerosol Particle Measurement D. Stoll et al. https://doi.org/10.3390/asi6040069
117. Closing the gap: an algorithmic approach to reconciling in-situ and remotely sensed aerosol properties J. Schlosser et al. https://doi.org/10.5194/amt-18-7187-2025
118. Microphysical Analysis of Maritime and Continental Aerosols: Determination of Hygroscopic Growth Factors Using OPAC Data and Modeling Approaches . Sa’adu, B. et al. https://doi.org/10.56919/usci.2434.002
119. Design and Evaluation of a Dryer System for IoT Hyperlocal Particulate Matter Monitoring Device E. Illueca Fernández et al. https://doi.org/10.1109/JSEN.2024.3364537
120. A global view on the effect of water uptake on aerosol particle light scattering M. Burgos et al. https://doi.org/10.1038/s41597-019-0158-7
121. Size-resolved hygroscopic behaviour and mixing state of submicron aerosols in a megacity of the Sichuan Basin during pollution and fireworks episodes L. Yuan et al. https://doi.org/10.1016/j.atmosenv.2020.117393
122. The hygroscopic properties of biomass burning aerosol from Eucalyptus and cow dung under different combustion conditions M. Mouton et al. https://doi.org/10.1080/02786826.2023.2198587
123. Continuous Lidar Observation of Near Surface Aerosol Using Optical and Sampling Data from Ground-Based Instruments J. Aminuddin et al. https://doi.org/10.1051/epjconf/202023702010
124. Understanding and improving model representation of aerosol optical properties for a Chinese haze event measured during KORUS-AQ P. Saide et al. https://doi.org/10.5194/acp-20-6455-2020
125. Lidar and Radar Signal Simulation: Stability Assessment of the Aerosol–Cloud Interaction Index C. Fajardo-Zambrano et al. https://doi.org/10.3390/rs14061333
126. Optical Properties of Secondary Organic Aerosol from cis-3-Hexenol and cis-3-Hexenyl Acetate: Effect of Chemical Composition, Humidity, and Phase R. Harvey et al. https://doi.org/10.1021/acs.est.6b00625
127. Aerosol optical properties at the Lulin Atmospheric Background Station in Taiwan and the influences of long-range transport of air pollutants T. Hsiao et al. https://doi.org/10.1016/j.atmosenv.2016.11.031
128. Measurement report: The variation properties of aerosol hygroscopic growth related to chemical composition during new particle formation days in a coastal city of Southeast China L. Li et al. https://doi.org/10.5194/acp-25-3669-2025
129. Studying the vertical aerosol extinction coefficient by comparing in situ airborne data and elastic backscatter lidar B. Rosati et al. https://doi.org/10.5194/acp-16-4539-2016
130. Hygroscopicity of dimethylaminium-, sulfate-, and ammonium-containing nanoparticles O. Tikkanen et al. https://doi.org/10.1080/02786826.2018.1484071
131. Effect of hygroscopic growth on the aerosol light-scattering coefficient: A review of measurements, techniques and error sources G. Titos et al. https://doi.org/10.1016/j.atmosenv.2016.07.021
132. Multidecadal trend analysis of in situ aerosol radiative properties around the world M. Collaud Coen et al. https://doi.org/10.5194/acp-20-8867-2020
133. Black carbon scavenging by low-level Arctic clouds P. Zieger et al. https://doi.org/10.1038/s41467-023-41221-w
134. Comparison of aerosol properties derived from sampling and near-horizontal lidar measurements using Mie scattering theory A. Xiafukaiti et al. https://doi.org/10.1364/AO.398673
135. A new method to retrieve relative humidity profiles from a synergy of Raman lidar, microwave radiometer, and satellite C. Ji et al. https://doi.org/10.5194/amt-18-3179-2025
136. The effect of relative humidity on the tropospheric aerosol extinction coefficient with typical underlying surfaces based on CALIPSO data Y. Qiu & Z. Shu https://doi.org/10.1080/01431161.2017.1371860
137. Three-dimensional structure and transport flux of springtime smoke aerosols over the Indochina Peninsula Y. Liu et al. https://doi.org/10.1016/j.atmosres.2024.107293
138. Aerosol chemical compositions in the North China Plain and the impact on the visibility in Beijing and Tianjin J. Zou et al. https://doi.org/10.1016/j.atmosres.2017.09.014
139. Developing a Relative Humidity Correction for Low-Cost Sensors Measuring Ambient Particulate Matter A. Di Antonio et al. https://doi.org/10.3390/s18092790
140. AeroCom phase III multi-model evaluation of the aerosol life cycle and optical properties using ground- and space-based remote sensing as well as surface in situ observations J. Gliß et al. https://doi.org/10.5194/acp-21-87-2021
141. Field comparison of instruments for exposure assessment of airborne ultrafine particles and particulate matter A. Spinazzè et al. https://doi.org/10.1016/j.atmosenv.2017.01.054
142. The impact of air mass advection on aerosol optical properties over Gotland (Baltic Sea) A. Zdun et al. https://doi.org/10.1016/j.atmosres.2016.07.022
143. Roles of Relative Humidity in Aerosol Pollution Aggravation over Central China during Wintertime L. Zang et al. https://doi.org/10.3390/ijerph16224422
144. Hygroscopic behavior of sea spray aerosols in offshore waters and open sea areas investigated with aerosol optical tweezers J. Qiu et al. https://doi.org/10.1016/j.atmosenv.2024.120360
145. Direct radiative feedback due to biogenic secondary organic aerosol estimated from boreal forest site observations H. Lihavainen et al. https://doi.org/10.1088/1748-9326/10/10/104005
146. Hygroscopic growth characteristics of anthropogenic aerosols over central China revealed by lidar observations D. Jing et al. https://doi.org/10.5194/amt-19-389-2026
147. Effects of aerosols on clear-sky solar radiation in the ALADIN-HIRLAM NWP system E. Gleeson et al. https://doi.org/10.5194/acp-16-5933-2016
148. A novel method for deriving the aerosol hygroscopicity parameter based only on measurements from a humidified nephelometer system Y. Kuang et al. https://doi.org/10.5194/acp-17-6651-2017
149. Cloud condensation nuclei activation properties of Mediterranean pollen types considering organic chemical composition and surface tension effects A. Casans et al. https://doi.org/10.1016/j.atmosenv.2023.119961
150. Landsat-8 Satellite and Plan Position Indicator Lidar Observations for Retrieving Aerosol Optical Properties in the Lower Troposphere J. Aminuddin et al. https://doi.org/10.4236/ars.2018.73013
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