Articles | Volume 17, issue 22
https://doi.org/10.5194/acp-17-13967-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Special issue:
https://doi.org/10.5194/acp-17-13967-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Potential influences of neglecting aerosol effects on the NCEP GFS precipitation forecast
Mengjiao Jiang
State Key Laboratory of Earth Surface Processes and Resource Ecology,
College of Global Change and Earth System Science, Beijing Normal
University, Beijing, China
Department of Atmospheric and Oceanic Science and ESSIC, University of
Maryland, College Park, Maryland, USA
Jinqin Feng
Longyan Meteorological Office of Fujian Province, Longyan, Fujian, China
State Key Laboratory of Earth Surface Processes and Resource Ecology,
College of Global Change and Earth System Science, Beijing Normal
University, Beijing, China
Department of Atmospheric and Oceanic Science and ESSIC, University of
Maryland, College Park, Maryland, USA
Ruiyu Sun
Environmental Modeling Center, National Centers for Environmental
Prediction, National Oceanic and Atmospheric Administration, College Park, Maryland,
USA
Yu-Tai Hou
Environmental Modeling Center, National Centers for Environmental
Prediction, National Oceanic and Atmospheric Administration, College Park, Maryland,
USA
Yuejian Zhu
Environmental Modeling Center, National Centers for Environmental
Prediction, National Oceanic and Atmospheric Administration, College Park, Maryland,
USA
Bingcheng Wan
State Key Laboratory of Atmospheric Boundary Layer Physics and
Atmospheric Chemistry, Institute of Atmospheric Physics, Chinese Academy of Sciences,
Beijing, China
Jianping Guo
State Key Laboratory of Severe Weather, Chinese Academy of Meteorological
Sciences, Beijing, China
Maureen Cribb
Department of Atmospheric and Oceanic Science and ESSIC, University of
Maryland, College Park, Maryland, USA
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Cited
11 citations as recorded by crossref.
- Aerosol-induced changes in the vertical structure of precipitation: a perspective of TRMM precipitation radar J. Guo et al. 10.5194/acp-18-13329-2018
- Aerosol effects on the vertical structure of precipitation in East China N. Sun et al. 10.1038/s41612-022-00284-0
- Aerosol impacts on summer precipitation forecast over the North China Plain by using Thompson aerosol aware scheme in WRF: Process analysis and response sensitivity to aerosol concentrations during a Heavy Rainfall Event in Beijing C. Guo et al. 10.1016/j.atmosres.2024.107575
- Impacts of aerosol–radiation interaction on meteorological forecasts over northern China by offline coupling of the WRF-Chem-simulated aerosol optical depth into WRF: a case study during a heavy pollution event Y. Yang et al. 10.5194/acp-20-12527-2020
- Aerosol as a critical factor causing forecast biases of air temperature in global numerical weather prediction models X. Huang & A. Ding 10.1016/j.scib.2021.05.009
- Localization and Invigoration of Mei‐yu Front Rainfall due to Aerosol‐Cloud Interactions: A Preliminary Assessment Based on WRF Simulations and IMFRE 2018 Field Observations L. Liu et al. 10.1029/2019JD031952
- Prediction Skill of GEFSv12 for Southwest Summer Monsoon Rainfall and Associated Extreme Rainfall Events on Extended Range Scale over India M. Nageswararao et al. 10.1175/WAF-D-21-0184.1
- Aerosol effects on electrification and lightning discharges in a multicell thunderstorm simulated by the WRF-ELEC model M. Sun et al. 10.5194/acp-21-14141-2021
- Dynamic effects of topography on dust particles in the Beijing region of China L. Zhai et al. 10.1016/j.atmosenv.2019.06.029
- Performance of the Global Forecast System's medium-range precipitation forecasts in the Niger river basin using multiple satellite-based products H. Yue et al. 10.5194/hess-26-167-2022
- The Accuracy of Precipitation Forecasts at Timescales of 1–15 Days in the Volta River Basin M. Gebremichael et al. 10.3390/rs14040937
11 citations as recorded by crossref.
- Aerosol-induced changes in the vertical structure of precipitation: a perspective of TRMM precipitation radar J. Guo et al. 10.5194/acp-18-13329-2018
- Aerosol effects on the vertical structure of precipitation in East China N. Sun et al. 10.1038/s41612-022-00284-0
- Aerosol impacts on summer precipitation forecast over the North China Plain by using Thompson aerosol aware scheme in WRF: Process analysis and response sensitivity to aerosol concentrations during a Heavy Rainfall Event in Beijing C. Guo et al. 10.1016/j.atmosres.2024.107575
- Impacts of aerosol–radiation interaction on meteorological forecasts over northern China by offline coupling of the WRF-Chem-simulated aerosol optical depth into WRF: a case study during a heavy pollution event Y. Yang et al. 10.5194/acp-20-12527-2020
- Aerosol as a critical factor causing forecast biases of air temperature in global numerical weather prediction models X. Huang & A. Ding 10.1016/j.scib.2021.05.009
- Localization and Invigoration of Mei‐yu Front Rainfall due to Aerosol‐Cloud Interactions: A Preliminary Assessment Based on WRF Simulations and IMFRE 2018 Field Observations L. Liu et al. 10.1029/2019JD031952
- Prediction Skill of GEFSv12 for Southwest Summer Monsoon Rainfall and Associated Extreme Rainfall Events on Extended Range Scale over India M. Nageswararao et al. 10.1175/WAF-D-21-0184.1
- Aerosol effects on electrification and lightning discharges in a multicell thunderstorm simulated by the WRF-ELEC model M. Sun et al. 10.5194/acp-21-14141-2021
- Dynamic effects of topography on dust particles in the Beijing region of China L. Zhai et al. 10.1016/j.atmosenv.2019.06.029
- Performance of the Global Forecast System's medium-range precipitation forecasts in the Niger river basin using multiple satellite-based products H. Yue et al. 10.5194/hess-26-167-2022
- The Accuracy of Precipitation Forecasts at Timescales of 1–15 Days in the Volta River Basin M. Gebremichael et al. 10.3390/rs14040937
Latest update: 23 Nov 2024
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.
Aerosol–cloud interactions have been recognized as playing an important role in precipitation....
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