Evaluation of a quasi-steady-state approximation of the cloud droplet growth equation (QDGE) scheme for aerosol activation in global models using multiple aircraft data over both continental and marine environments

Wang, Hengqi; Peng, Yiran; von Salzen, Knut; Yang, Yan; Zhou, Wei; Zhao, Delong

doi:https://doi.org/10.5194/gmd-15-2949-2022

Articles | Volume 15, issue 7

https://doi.org/10.5194/gmd-15-2949-2022

© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/gmd-15-2949-2022

© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 15, issue 7

Model evaluation paper

|

07 Apr 2022

Model evaluation paper |

| 07 Apr 2022

Evaluation of a quasi-steady-state approximation of the cloud droplet growth equation (QDGE) scheme for aerosol activation in global models using multiple aircraft data over both continental and marine environments

Hengqi Wang, Yiran Peng, Knut von Salzen, Yan Yang, Wei Zhou, and Delong Zhao

Data sets

Evaluation of a numerically efficient aerosol activation scheme by using cloud data from multiple aircraft campaigns in continental and marine regions Hengqi Wang, Yiran Peng, Knut von Salzen, Yan Yang, Wei Zhou, and Delong Zhao https://doi.org/10.5281/zenodo.4841035

2011 CIRPAS Twin Otter Navigation and State Parameters, Version 1.0 B. Albrecht https://doi.org/10.26023/36PD-HZKW-RJ03

1970 DOE Gulf Stream 1 (G-1) CAS Data, Version 1.0 UCAR/NCAR - Earth Observing Laboratory https://data.eol.ucar.edu/dataset/89.262

1970 DOE Gulf Stream 1 (G-1) LWC (Gerber Probe) Data, Version 1.0 UCAR/NCAR - Earth Observing Laboratory https://data.eol.ucar.edu/dataset/89.288

1970 DOE Gulf Stream 1 (G-1) Navigation and State Parameters, Version 1.0 UCAR/NCAR - Earth Observing Laboratory https://data.eol.ucar.edu/dataset/89.217

1970 DOE Gulf Stream 1 (G-1) PCASP Data, Version 1.0 UCAR/NCAR - Earth Observing Laboratory https://data.eol.ucar.edu/dataset/89.289

Ambient Winds -- AIMMS, updated hourly, 2014-02-15 to 2014-10-15, ARM Mobile Facility (MAO) Manacapuru, Amazonas, Brazil, compiled by: Hobbe, J. ARM (Atmospheric Radiation Measurement) user facility https://adc.arm.gov/discovery/#/results/site_code::mao

Fast Cloud Droplet Probe (FCDP), updated hourly, 2014-02-15 to 2014-10-15, ARM Mobile Facility (MAO) Manacapuru, Amazonas, Brazil, compiled by: Mei, F. ARM (Atmospheric Radiation Measurement) user facility https://adc.arm.gov/discovery/#/results/site_code::mao

Passive Cavity Aerosol Spectrometer, updated hourly, 2014-02-22 to 2014-3-23, ARM Mobile Facility (MAO) Manacapuru, Amazonas, Brazil, compiled by: Tomlinson, J. ARM (Atmospheric Radiation Measurement) user facility https://adc.arm.gov/discovery/#/results/site_code::mao

Time of Flight Aerosol Mass Spectrometer, updated hourly, 2014-02-22 to 2014-03-23, ARM Mobile Facility (MAO) Manacapuru, Amazonas, Brazil, compiled by: Shilling, J. ARM (Atmospheric Radiation Measurement) user facility https://adc.arm.gov/discovery/#/results/site_code::mao

Model code and software

Evaluation of a numerically efficient aerosol activation scheme by using cloud data from multiple aircraft campaigns in continental and marine regions Hengqi Wang, Yiran Peng, Knut von Salzen, Yan Yang, Wei Zhou, and Delong Zhao https://doi.org/10.5281/zenodo.4841035

Short summary

The aerosol activation scheme is an important part of the general circulation model, but evaluations using observed data are mostly regional. This research introduced a numerically efficient aerosol activation scheme and evaluated it by using stratus and stratocumulus cloud data sampled during multiple aircraft campaigns in Canada, Chile, Brazil, and China. The decent performance indicates that the scheme is suitable for simulations of cloud droplet number concentrations over wide conditions.