Journals / Atmospheric Pollution Research / 2019 / Cilt: 10 - Sayı: 5

Four-year ground-based observations of the aerosol effects on cloud base height in Wuhan, China

Pages
1531–1535
DOI
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

The present finding also demonstrate that the influence of aerosolparticles on promoting CBH is prominent under the conditions of relatively high humidity and low temperature.This study provides a new perspective for understanding the response of aerosol-cloud interactions in an urbanarea, which will play important roles in regional climate change and human life.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:Aerosols can modify cloud properties by affecting the concentration and size of cloud droplets and the strengthof cloud convection.
📊
Key Findings & Data:The statistical analysis of collocated measurements of PM10concentrations, meteorological factors, and CBHs suggest that temperature, relative humidity and aerosol particlescollectively influence CBH variations.
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Conclusion & Impact:The present finding also demonstrate that the influence of aerosolparticles on promoting CBH is prominent under the conditions of relatively high humidity and low temperature.This study provides a new perspective for understanding the response of aerosol-cloud interactions in an urbanarea, which will play important roles in regional climate change and human life.
🔬Design:Survey & Empirical Study
📍Scope:Comprehensive Sample
⚙️Variables:Domain Parameters

Özet

Aerosols can modify cloud properties by affecting the concentration and size of cloud droplets and the strengthof cloud convection. Understanding the effects of aerosol on cloud remains challenging because of the differenteffects of aerosol on various conditions and regions. In this study, we survey the effect of aerosol on cloud baseheight (CBH) through four-year ground-based observations in Wuhan, China. A robust positive correlation betweenaerosol loading and CBH can be found via annual and correlation analyses, which suggest the systematicinvigoration of clouds through aerosol loading. The statistical analysis of collocated measurements of PM10concentrations, meteorological factors, and CBHs suggest that temperature, relative humidity and aerosol particlescollectively influence CBH variations. The present finding also demonstrate that the influence of aerosolparticles on promoting CBH is prominent under the conditions of relatively high humidity and low temperature.This study provides a new perspective for understanding the response of aerosol-cloud interactions in an urbanarea, which will play important roles in regional climate change and human life.

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Cite This Article

WANG, W., ZHANG, T., PAN, Z. (2019). Four-year ground-based observations of the aerosol effects on cloud base height in Wuhan, China. Atmospheric Pollution Research, Cilt: 10 - Sayı: 5, 1531–1535. https://ajindex.com/articles/351562

References (13)

  1. Albrecht, B.A., 1989. Aerosols, cloud microphysics, and fractional cloudiness. Science 245, 1227–1230.
  2. Feiyue, M., Wei, G., Yingying, M., 2012. Retrieving the aerosol lidar ratio profile by combining ground- and space-based elastic lidars. Opt. Lett. 37, 617–619.
  3. Gryspeerdt, E., Stier, P., Grandey, B.S., 2014. Cloud fraction mediates the aerosol optical depth-cloud top height relationship. Geophys. Res. Lett. 41, 3622–3627.
  4. Hansen, J., Sato, M., Ruedy, R., 1997. Radiative forcing and climate response. J. Geophys. Res.: Atmos. 102, 6831–6864.
  5. Huang, J., Wang, T., Wang, W., Li, Z., Yan, H., 2014. Climate effects of dust aerosols over East Asian arid and semiarid regions. J. Geophys. Res.: Atmos. 119 11,398-311,416. Koch, D., Del Genio, A.D., 2010. Black carbon semi-direct effects on cloud cover: review and synthesis. Atmos. Chem. Phys. 10, 7685–7696.
  6. Koren, I., Dagan, G., Altaratz, O., 2014. From aerosol-limited to invigoration of warm convective clouds. Science 344, 1143–1146.
  7. Koren, I., Kaufman, Y.J., Rosenfeld, D., Remer, L.A., Rudich, Y., 2005. Aerosol invigoration and restructuring of Atlantic convective clouds. Geophys. Res. Lett. 32. Koren, I., Remer, L.A., Altaratz, O., Martins, J.V., 2010. Aerosol-induced Changes of Convective Cloud Anvils Produce Strong Climate Warming. Atmospheric Chemistry and Physics (ACP) & Discussions (ACPD). Kourtidis, K., Stathopoulos, S., Georgoulias, A.K., Alexandri, G., Rapsomanikis, S., 2015. A study of the impact of synoptic weather conditions and water vapor on aerosol– cloud relationships over major urban clusters of China. Atmos. Chem. Phys. 15, 10955–10964.
  8. Li, S., Joseph, E., Min, Q., Yin, B., 2017. Multi-year ground-based observations of aerosolcloud interactions in the Mid-Atlantic of the United States. J. Quant. Spectrosc. Radiat. Transf. 188, 192–199.
  9. Li, Z., et al., 2011. Long-term impacts of aerosols on the vertical development of clouds and precipitation. Nat. Geosci. 4, 888–894.
  10. Mao, F., Gong, W., Li, C., 2013a. Anti-noise algorithm of lidar data retrieval by combining the ensemble Kalman filter and the Fernald method. Opt. Express 21, 8286–8297.
  11. Mao, F., Gong, W., Li, J., 2012. Geometrical form factor calculation using Monte Carlo integration for lidar. Optic Laser. Technol. 44, 907–912.
  12. Mao, F., Gong, W., Logan, T., 2013b. Linear segmentation algorithm for detecting layer boundary with lidar. Optic Express 21, 26876–26887.
  13. Mao, F., Gong, W., Song, S., Zhu, Z., 2013c. Determination of the boundary layer to