TY - JOUR
T1 - Observing Aerosol Primary Convective Invigoration and Its Meteorological Feedback
AU - Zang, Lin
AU - Rosenfeld, Daniel
AU - Pan, Zengxin
AU - Mao, Feiyue
AU - Zhu, Yannian
AU - Lu, Xin
AU - Gong, Wei
N1 - Publisher Copyright:
© 2023. The Authors.
PY - 2023/6/28
Y1 - 2023/6/28
N2 - Aerosols can invigorate deep convective clouds (DCCs) directly by nucleating more cloud droplets, named as Primary Aerosol Convective Invigoration (PAI). However, the covarying Meteorology-Aerosol Invigoration (MAI) effect on DCC has been a long-standing issue in quantifying PAI's contribution. Here, observations show that PAI causes positive feedback from DCC to meteorology, further invigorating DCC through enhanced humidity, updraft and destabilization, thereby adding to MAI. Further, PAI is separated from MAI observationally by quantifying the sensitivity of DCC properties to aerosol changes under fixed meteorology through the artificial neural network. When fine aerosol changes from the cleanest to optimal concentration (5 μg m−3), PAI contributes 72% ± 2% of the total aerosol-associated cloud top cooling by 12°C, 42% ± 4% of the 30% prolonged lifetime, and 50% ± 4% of the more than doubled rainfall. This result underlines the comparable magnitudes of PAI and MAI, which have not been considered until now in weather and climate prediction.
AB - Aerosols can invigorate deep convective clouds (DCCs) directly by nucleating more cloud droplets, named as Primary Aerosol Convective Invigoration (PAI). However, the covarying Meteorology-Aerosol Invigoration (MAI) effect on DCC has been a long-standing issue in quantifying PAI's contribution. Here, observations show that PAI causes positive feedback from DCC to meteorology, further invigorating DCC through enhanced humidity, updraft and destabilization, thereby adding to MAI. Further, PAI is separated from MAI observationally by quantifying the sensitivity of DCC properties to aerosol changes under fixed meteorology through the artificial neural network. When fine aerosol changes from the cleanest to optimal concentration (5 μg m−3), PAI contributes 72% ± 2% of the total aerosol-associated cloud top cooling by 12°C, 42% ± 4% of the 30% prolonged lifetime, and 50% ± 4% of the more than doubled rainfall. This result underlines the comparable magnitudes of PAI and MAI, which have not been considered until now in weather and climate prediction.
UR - http://www.scopus.com/inward/record.url?scp=85163571377&partnerID=8YFLogxK
U2 - 10.1029/2023GL104151
DO - 10.1029/2023GL104151
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AN - SCOPUS:85163571377
SN - 0094-8276
VL - 50
JO - Geophysical Research Letters
JF - Geophysical Research Letters
IS - 12
M1 - e2023GL104151
ER -