Articles | Volume 21, issue 8
https://doi.org/10.5194/acp-21-6199-2021
© Author(s) 2021. 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-21-6199-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
26 Apr 2021
Research article |
| 26 Apr 2021
| 26 Apr 2021
Potential impact of aerosols on convective clouds revealed by Himawari-8 observations over different terrain types in eastern China
Tianmeng Chen
State Key Laboratory of Remote Sensing Sciences, and College of Global Change and Earth System Science, Beijing Normal University, Beijing, 100875, China
Department of Atmospheric and Oceanic Sciences & Earth System Science Interdisciplinary Center, University of Maryland, College Park, Maryland 20740, USA
State Key Laboratory of Severe Weather, Chinese Academy of Meteorological Sciences, Beijing, 100081, China
Department of Atmospheric and Oceanic Sciences & Earth System Science Interdisciplinary Center, University of Maryland, College Park, Maryland 20740, USA
Ralph A. Kahn
Department of Atmospheric and Oceanic Sciences & Earth System Science Interdisciplinary Center, University of Maryland, College Park, Maryland 20740, USA
Earth Sciences Division, NASA Goddard Space Flight Center, Greenbelt, Maryland 20771, USA
State Key Laboratory of Remote Sensing Sciences, and College of Global Change and Earth System Science, Beijing Normal University, Beijing, 100875, China
Daniel Rosenfeld
Institute of Earth Sciences, Hebrew University, Jerusalem, Israel
Jianping Guo
State Key Laboratory of Severe Weather, Chinese Academy of Meteorological Sciences, Beijing, 100081, China
Wenchao Han
Chinese Research Academy of Environmental Sciences, Beijing, 100012, China
Dandan Chen
State Key Laboratory of Severe Weather, Chinese Academy of Meteorological Sciences, Beijing, 100081, China
Viewed
Total article views: 3,454 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 13 Oct 2020)
| HTML | XML | Total | Supplement | BibTeX | EndNote | |
|---|---|---|---|---|---|---|
| 2,684 | 725 | 45 | 3,454 | 249 | 61 | 54 |
- HTML: 2,684
- PDF: 725
- XML: 45
- Total: 3,454
- Supplement: 249
- BibTeX: 61
- EndNote: 54
Total article views: 2,986 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 26 Apr 2021)
| HTML | XML | Total | Supplement | BibTeX | EndNote | |
|---|---|---|---|---|---|---|
| 2,420 | 526 | 40 | 2,986 | 147 | 56 | 46 |
- HTML: 2,420
- PDF: 526
- XML: 40
- Total: 2,986
- Supplement: 147
- BibTeX: 56
- EndNote: 46
Total article views: 468 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 13 Oct 2020)
| HTML | XML | Total | Supplement | BibTeX | EndNote | |
|---|---|---|---|---|---|---|
| 264 | 199 | 5 | 468 | 102 | 5 | 8 |
- HTML: 264
- PDF: 199
- XML: 5
- Total: 468
- Supplement: 102
- BibTeX: 5
- EndNote: 8
Viewed (geographical distribution)
Total article views: 3,454 (including HTML, PDF, and XML)
Thereof 3,379 with geography defined
and 75 with unknown origin.
Total article views: 2,986 (including HTML, PDF, and XML)
Thereof 2,947 with geography defined
and 39 with unknown origin.
Total article views: 468 (including HTML, PDF, and XML)
Thereof 432 with geography defined
and 36 with unknown origin.
| Country | # | Views | % |
|---|
| Country | # | Views | % |
|---|
| Country | # | Views | % |
|---|
| Total: | 0 |
| HTML: | 0 |
| PDF: | 0 |
| XML: | 0 |
- 1
1
| Total: | 0 |
| HTML: | 0 |
| PDF: | 0 |
| XML: | 0 |
- 1
1
| Total: | 0 |
| HTML: | 0 |
| PDF: | 0 |
| XML: | 0 |
- 1
1
Cited
25 citations as recorded by crossref.
- Convective Cloud Detection and Tracking Using the New-Generation Geostationary Satellite Over South China Y. Yang et al. 10.1109/TGRS.2023.3298976
- Cloud Occlusion Probability Calculation Jointly Using Himawari-8 and CloudSat Satellite Data X. Chen et al. 10.3390/atmos13111754
- Modern methods to explore the dynamics between aerosols and convective precipitation: A critical review S. Metangley et al. 10.1016/j.dynatmoce.2024.101465
- Influence of below‐cloud evaporation on stable isotopes of precipitation in the Yellow River source region L. Ye et al. 10.1002/hyp.15064
- Anthropogenic Aerosols Effects on Ice Clouds: A Review Y. Yang & R. Liu 10.3390/atmos13060910
- Exploring impacts of aerosol on convective clouds using satellite remote sensing and machine learning J. Mi et al. 10.1117/1.JRS.18.012007
- Toward a Deep-Learning-Network-Based Convective Weather Initiation Algorithm From the Joint Observations of Fengyun-4A Geostationary Satellite and Radar for 0–1h Nowcasting F. Sun et al. 10.1109/JSTARS.2023.3262557
- Spatial–Temporal Fusion of 10-Min Aerosol Optical Depth Products with the GEO–LEO Satellite Joint Observations X. Xia et al. 10.3390/rs15082038
- Natural Seeder‐Feeder Process Originating From Mixed‐Phase Clouds Observed With Polarization Lidar and Radiosonde at a Mid‐Latitude Plain Site Y. He et al. 10.1029/2021JD036094
- Himawari-8 High Temporal Resolution AOD Products Recovery: Nested Bayesian Maximum Entropy Fusion Blending GEO With SSO Satellite Observations T. Zhang et al. 10.1109/TGRS.2023.3262785
- Distinct impacts on precipitation by aerosol radiative effect over three different megacity regions of eastern China Y. Sun & C. Zhao 10.5194/acp-21-16555-2021
- Effectiveness of Using Calcite as an Aerosol to Remediate the Urban Heat Island A. Hoback 10.3390/urbansci8030124
- Vertical Dependency of Aerosol Impacts on Local Scale Convective Precipitation Y. Sun et al. 10.1029/2022GL102186
- Recent progress in cloud physics and associated radiative effects in China from 2016 to 2022 C. Zhao et al. 10.1016/j.atmosres.2023.106899
- A simple multiscale layer detection algorithm for CALIPSO measurements F. Mao et al. 10.1016/j.rse.2021.112687
- Diurnal differences in the effect of aerosols on cloud-to-ground lightning in the Sichuan Basin H. Wang et al. 10.5194/acp-23-2843-2023
- Impact of Aerosols on Precipitation over Western Ghats K. Kumar & B. Manjunatha 10.1007/s41810-021-00111-8
- Cloud macrophysical characteristics in China mainland and east coast from 2006 to 2017 using satellite active remote sensing observations Y. Chi et al. 10.1002/joc.7790
- Study on the Parameters of Ice Clouds Based on 1.5 µm Micropulse Polarization Lidar Y. Li et al. 10.3390/rs14205162
- Remote sensing retrieval of aerosol types in China using geostationary satellite X. Chen et al. 10.1016/j.atmosres.2023.107150
- Contrasting aerosol effects on shallow and deep convections during the Mei-yu season in China L. Liu et al. 10.1016/j.atmosres.2024.107599
- Multi‐Source Data Based Investigation of Aerosol‐Cloud Interaction Over the North China Plain and North of the Yangtze Plain Y. Yang et al. 10.1029/2021JD035609
- Aerosol effects on the three-dimensional structure of organized precipitation systems over Beijing-Tianjin-Hebei region in summer J. Xi et al. 10.1016/j.atmosres.2023.107146
- Variability of clouds over Southeast Tibetan Plateau: The roles of aerosols C. Yuan et al. 10.1360/TB-2022-0209
- Observational Subseasonal Variability of the PM2.5 Concentration in the Beijing-Tianjin-Hebei Area during the January 2021 Sudden Stratospheric Warming Q. Lu et al. 10.1007/s00376-022-1393-y
25 citations as recorded by crossref.
- Convective Cloud Detection and Tracking Using the New-Generation Geostationary Satellite Over South China Y. Yang et al. 10.1109/TGRS.2023.3298976
- Cloud Occlusion Probability Calculation Jointly Using Himawari-8 and CloudSat Satellite Data X. Chen et al. 10.3390/atmos13111754
- Modern methods to explore the dynamics between aerosols and convective precipitation: A critical review S. Metangley et al. 10.1016/j.dynatmoce.2024.101465
- Influence of below‐cloud evaporation on stable isotopes of precipitation in the Yellow River source region L. Ye et al. 10.1002/hyp.15064
- Anthropogenic Aerosols Effects on Ice Clouds: A Review Y. Yang & R. Liu 10.3390/atmos13060910
- Exploring impacts of aerosol on convective clouds using satellite remote sensing and machine learning J. Mi et al. 10.1117/1.JRS.18.012007
- Toward a Deep-Learning-Network-Based Convective Weather Initiation Algorithm From the Joint Observations of Fengyun-4A Geostationary Satellite and Radar for 0–1h Nowcasting F. Sun et al. 10.1109/JSTARS.2023.3262557
- Spatial–Temporal Fusion of 10-Min Aerosol Optical Depth Products with the GEO–LEO Satellite Joint Observations X. Xia et al. 10.3390/rs15082038
- Natural Seeder‐Feeder Process Originating From Mixed‐Phase Clouds Observed With Polarization Lidar and Radiosonde at a Mid‐Latitude Plain Site Y. He et al. 10.1029/2021JD036094
- Himawari-8 High Temporal Resolution AOD Products Recovery: Nested Bayesian Maximum Entropy Fusion Blending GEO With SSO Satellite Observations T. Zhang et al. 10.1109/TGRS.2023.3262785
- Distinct impacts on precipitation by aerosol radiative effect over three different megacity regions of eastern China Y. Sun & C. Zhao 10.5194/acp-21-16555-2021
- Effectiveness of Using Calcite as an Aerosol to Remediate the Urban Heat Island A. Hoback 10.3390/urbansci8030124
- Vertical Dependency of Aerosol Impacts on Local Scale Convective Precipitation Y. Sun et al. 10.1029/2022GL102186
- Recent progress in cloud physics and associated radiative effects in China from 2016 to 2022 C. Zhao et al. 10.1016/j.atmosres.2023.106899
- A simple multiscale layer detection algorithm for CALIPSO measurements F. Mao et al. 10.1016/j.rse.2021.112687
- Diurnal differences in the effect of aerosols on cloud-to-ground lightning in the Sichuan Basin H. Wang et al. 10.5194/acp-23-2843-2023
- Impact of Aerosols on Precipitation over Western Ghats K. Kumar & B. Manjunatha 10.1007/s41810-021-00111-8
- Cloud macrophysical characteristics in China mainland and east coast from 2006 to 2017 using satellite active remote sensing observations Y. Chi et al. 10.1002/joc.7790
- Study on the Parameters of Ice Clouds Based on 1.5 µm Micropulse Polarization Lidar Y. Li et al. 10.3390/rs14205162
- Remote sensing retrieval of aerosol types in China using geostationary satellite X. Chen et al. 10.1016/j.atmosres.2023.107150
- Contrasting aerosol effects on shallow and deep convections during the Mei-yu season in China L. Liu et al. 10.1016/j.atmosres.2024.107599
- Multi‐Source Data Based Investigation of Aerosol‐Cloud Interaction Over the North China Plain and North of the Yangtze Plain Y. Yang et al. 10.1029/2021JD035609
- Aerosol effects on the three-dimensional structure of organized precipitation systems over Beijing-Tianjin-Hebei region in summer J. Xi et al. 10.1016/j.atmosres.2023.107146
- Variability of clouds over Southeast Tibetan Plateau: The roles of aerosols C. Yuan et al. 10.1360/TB-2022-0209
- Observational Subseasonal Variability of the PM2.5 Concentration in the Beijing-Tianjin-Hebei Area during the January 2021 Sudden Stratospheric Warming Q. Lu et al. 10.1007/s00376-022-1393-y
Latest update: 20 Nov 2024
Short summary
A convective cloud identification process is developed using geostationary satellite data from Himawari-8.
Convective cloud fraction is generally larger before noon and smaller in the afternoon under polluted conditions, but megacities and complex topography can influence the pattern.
A robust relationship between convective cloud and aerosol loading is found. This pattern varies with terrain height and is modulated by varying thermodynamic, dynamical, and humidity conditions during the day.
A convective cloud identification process is developed using geostationary satellite data from...
Altmetrics
Final-revised paper
Preprint