Articles | Volume 17, issue 22
https://doi.org/10.5194/acp-17-13967-2017
https://doi.org/10.5194/acp-17-13967-2017
Research article
 | 
23 Nov 2017
Research article |  | 23 Nov 2017

Potential influences of neglecting aerosol effects on the NCEP GFS precipitation forecast

Mengjiao Jiang, Jinqin Feng, Zhanqing Li, Ruiyu Sun, Yu-Tai Hou, Yuejian Zhu, Bingcheng Wan, Jianping Guo, and Maureen Cribb

Related authors

Aerosol-induced changes in the vertical structure of precipitation: a perspective of TRMM precipitation radar
Jianping Guo, Huan Liu, Zhanqing Li, Daniel Rosenfeld, Mengjiao Jiang, Weixin Xu, Jonathan H. Jiang, Jing He, Dandan Chen, Min Min, and Panmao Zhai
Atmos. Chem. Phys., 18, 13329–13343, https://doi.org/10.5194/acp-18-13329-2018,https://doi.org/10.5194/acp-18-13329-2018, 2018
Short summary

Related subject area

Subject: Aerosols | Research Activity: Laboratory Studies | Altitude Range: Troposphere | Science Focus: Physics (physical properties and processes)
Role of sea spray aerosol at the air–sea interface in transporting aromatic acids to the atmosphere
Yaru Song, Jianlong Li, Narcisse Tsona Tchinda, Kun Li, and Lin Du
Atmos. Chem. Phys., 24, 5847–5862, https://doi.org/10.5194/acp-24-5847-2024,https://doi.org/10.5194/acp-24-5847-2024, 2024
Short summary
Modeling the influence of carbon branching structure on secondary organic aerosol formation via multiphase reactions of alkanes
Azad Madhu, Myoseon Jang, and Yujin Jo
Atmos. Chem. Phys., 24, 5585–5602, https://doi.org/10.5194/acp-24-5585-2024,https://doi.org/10.5194/acp-24-5585-2024, 2024
Short summary
Technical note: Characterization of a single-beam gradient force aerosol optical tweezer for droplet trapping, phase transition monitoring, and morphology studies
Xiangyu Pei, Yikan Meng, Yueling Chen, Huichao Liu, Yao Song, Zhengning Xu, Fei Zhang, Thomas C. Preston, and Zhibin Wang
Atmos. Chem. Phys., 24, 5235–5246, https://doi.org/10.5194/acp-24-5235-2024,https://doi.org/10.5194/acp-24-5235-2024, 2024
Short summary
Soot aerosols from commercial aviation engines are poor ice-nucleating particles at cirrus cloud temperatures
Baptiste Testa, Lukas Durdina, Peter A. Alpert, Fabian Mahrt, Christopher H. Dreimol, Jacinta Edebeli, Curdin Spirig, Zachary C. J. Decker, Julien Anet, and Zamin A. Kanji
Atmos. Chem. Phys., 24, 4537–4567, https://doi.org/10.5194/acp-24-4537-2024,https://doi.org/10.5194/acp-24-4537-2024, 2024
Short summary
Contribution of brown carbon to light absorption in emissions of European residential biomass combustion appliances
Satish Basnet, Anni Hartikainen, Aki Virkkula, Pasi Yli-Pirilä, Miika Kortelainen, Heikki Suhonen, Laura Kilpeläinen, Mika Ihalainen, Sampsa Väätäinen, Juho Louhisalmi, Markus Somero, Jarkko Tissari, Gert Jakobi, Ralf Zimmermann, Antti Kilpeläinen, and Olli Sippula
Atmos. Chem. Phys., 24, 3197–3215, https://doi.org/10.5194/acp-24-3197-2024,https://doi.org/10.5194/acp-24-3197-2024, 2024
Short summary

Cited articles

Ackerman, A. S., Toon, O. B. , Stevens, D. E., Heymsfield, A. J., Ramanathan, V., and Welton, E. J.: Reduction of tropical cloudiness by soot, Science, 288, 1042–1047, https://doi.org/10.1126/science.288.5468.1042, 2000.
Albrecht, B. A.: Aerosols, cloud microphysics, and fractional cloudiness, Science, 245, 1227–1230, https://doi.org/10.1126/science.245.4923.1227, 1989.
Andreae, M. O., Rosenfeld, D., Artaxo, P., Costa, A. A., Frank, G. P., Longo, K. M., and Silva-Dias, M. A. F.: Smoking rain clouds over the Amazon, Science, 303, 1337–1342, https://doi.org/10.1126/science.1092779, 2004.
Appel, B. R., Tokiwa, Y., Hsu, J., Kothny, E. L., and Hahn, E.: Visibility as related to atmospheric aerosol constituents, Atmos. Environ., 19, 1525–1534, https://doi.org/10.1016/j.bbr.2011.03.031, 1985.
Arakawa, A. and Schubert, W. H.: Interaction of a cumulus cloud ensemble with the large-scale environment – Part I, J. Atmos. Sci., 31, 674–701, https://doi.org/10.1175/1520-0469(1974)031<0674:IOACCE>2.0.CO;2, 1974.
Download
Short summary
Aerosol–cloud interactions have been recognized as playing an important role in precipitation. As a benchmark evaluation of model results that exclude aerosol effects, the operational precipitation forecast (before any aerosol effects included) is evaluated using multiple datasets with the goal of determining if there is any link between the model bias and aerosol loading. The forecast model overestimates light and underestimates heavy rain. Aerosols suppress light rain and enhance heavy rain.
Altmetrics
Final-revised paper
Preprint