Using machine learning to derive cloud condensation nuclei number concentrations from commonly available measurements
نویسندگان
چکیده
منابع مشابه
Use of in situ cloud condensation nuclei, extinction, and aerosol size distribution measurements to test a method for retrieving cloud condensation nuclei profiles from surface measurements
[1] If the aerosol composition and size distribution below cloud are uniform, the vertical profile of cloud condensation nuclei concentration can be retrieved entirely from surface measurements of CCN concentration and particle humidification function and surfacebased retrievals of relative humidity and aerosol extinction or backscatter. This provides the potential for long-term measurements of...
متن کاملOrganic condensation: a vital link connecting aerosol formation to cloud condensation nuclei (CCN) concentrations
Atmospheric aerosol particles influence global climate as well as impair air quality through their effects on atmospheric visibility and human health. Ultrafine (<100 nm) particles often dominate aerosol numbers, and nucleation of atmospheric vapors is an important source of these particles. To have climatic relevance, however, the freshly nucleated particles need to grow in size. We combine ob...
متن کاملSatellite retrieval of cloud condensation nuclei concentrations by using clouds as CCN chambers.
Quantifying the aerosol/cloud-mediated radiative effect at a global scale requires simultaneous satellite retrievals of cloud condensation nuclei (CCN) concentrations and cloud base updraft velocities (Wb). Hitherto, the inability to do so has been a major cause of high uncertainty regarding anthropogenic aerosol/cloud-mediated radiative forcing. This can be addressed by the emerging capability...
متن کاملAssessment of cloud supersaturation by size-resolved aerosol particle and cloud condensation nuclei (CCN) measurements
In this study we show how size-resolved measurements of aerosol particles and cloud condensation nuclei (CCN) can be used to characterize the supersaturation of water vapor in a cloud. The method was developed and applied during the ACRIDICON-Zugspitze campaign (17 September to 4 October 2012) at the high-Alpine research station Schneefernerhaus (German Alps, 2650 m a.s.l.). Number size distrib...
متن کاملEfficiency of cloud condensation nuclei formation from ultrafine particles
Atmospheric cloud condensation nuclei (CCN) concentrations are a key uncertainty in the assessment of the effect of anthropogenic aerosol on clouds and climate. The ability of new ultrafine particles to grow to become CCN varies throughout the atmosphere and must be understood in order to understand CCN formation. We have developed the Probability of Ultrafine particle Growth (PUG) model to ans...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Atmospheric Chemistry and Physics
سال: 2020
ISSN: 1680-7324
DOI: 10.5194/acp-20-12853-2020