TY - JOUR
T1 - The NASA ACTIVATE Mission
AU - Sorooshian, Armin
AU - Siu, Leong Wai
AU - Butler, Kayley
AU - Brunke, Michael A.
AU - Cairns, Brian
AU - Chellappan, Seethala
AU - Chen, Jingyi
AU - Choi, Yonghoon
AU - Crosbie, Ewan C.
AU - Cutler, Lauren
AU - Digangi, Joshua P.
AU - Diskin, Glenn S.
AU - Ferrare, Richard A.
AU - Hair, Johnathan W.
AU - Hostetler, Chris A.
AU - Kirschler, Simon
AU - Kleb, Mary M.
AU - Li, Xiang Yu
AU - Liu, Hongyu
AU - McComiskey, Allison
AU - Namdari, Soodabeh
AU - Painemal, David
AU - Schlosser, Joseph S.
AU - Shingler, Taylor
AU - Shook, Michael A.
AU - Silva, Sam
AU - Sinclair, Kenneth
AU - Smith, William L.
AU - Soloff, Cassidy
AU - Stamnes, Snorre
AU - Tang, Shuaiqi
AU - Thornhill, Kenneth L.
AU - Tornow, Florian
AU - Tselioudis, George
AU - Van Diedenhoven, Bastiaan
AU - Voigt, Christiane
AU - Vömel, Holger
AU - Wang, Hailong
AU - Winstead, Edward L.
AU - Xu, Yike
AU - Zeng, Xubin
AU - Zhang, Bo
AU - Ziemba, Luke
AU - Zuidema, Paquita
N1 - Publisher Copyright:
© 2025 American Meteorological Society.
PY - 2025/8
Y1 - 2025/8
N2 - The NASA Aerosol Cloud Meteorology Interactions over the Western Atlantic Experiment (ACTIVATE) conducted 162 joint flights with two aircraft over the northwest Atlantic to study aerosol–cloud interactions (ACIs), which represent the largest uncertainty in estimating total anthropogenic radiative forcing. The combination of a high-flying King Air and low-flying HU-25 Falcon, equipped with remote sensing and in situ instruments, characterized trace gases, aerosol particles, clouds, and meteorological variables with data collected nearly simultaneously below, within, and above marine boundary layer (MBL) clouds. Flights spanning warm and cold seasons across 3 years (2020–22) provided a broad range of conditions associated with aerosol particles, cloud properties (including particle size and phase), and meteorology, ideally suited for robust ACI calculations and assessing how well models simulate a wide range of MBL clouds from stratiform to cumulus. ACTIVATE data suggest that drivers of cloud droplet number concentration Nd, including aerosol particles and MBL dynamics, vary between winter and summer months with a stronger potential to convert aerosol particles into cloud droplets in winter. Models of varying complexity not only highlight some skills in simulating winter and summer cloud types but also identify challenges that still need to be addressed such as treatment of turbulence, wet scavenging, and mesoscale organization. Remote sensing advances range from new retrieval methods for Nd, cloud phase classification, vertically resolved aerosol and cloud condensation nuclei number concentration, and ocean surface wind speed. This work describes these scientific and technological advances along with efforts in outreach and open data science.
AB - The NASA Aerosol Cloud Meteorology Interactions over the Western Atlantic Experiment (ACTIVATE) conducted 162 joint flights with two aircraft over the northwest Atlantic to study aerosol–cloud interactions (ACIs), which represent the largest uncertainty in estimating total anthropogenic radiative forcing. The combination of a high-flying King Air and low-flying HU-25 Falcon, equipped with remote sensing and in situ instruments, characterized trace gases, aerosol particles, clouds, and meteorological variables with data collected nearly simultaneously below, within, and above marine boundary layer (MBL) clouds. Flights spanning warm and cold seasons across 3 years (2020–22) provided a broad range of conditions associated with aerosol particles, cloud properties (including particle size and phase), and meteorology, ideally suited for robust ACI calculations and assessing how well models simulate a wide range of MBL clouds from stratiform to cumulus. ACTIVATE data suggest that drivers of cloud droplet number concentration Nd, including aerosol particles and MBL dynamics, vary between winter and summer months with a stronger potential to convert aerosol particles into cloud droplets in winter. Models of varying complexity not only highlight some skills in simulating winter and summer cloud types but also identify challenges that still need to be addressed such as treatment of turbulence, wet scavenging, and mesoscale organization. Remote sensing advances range from new retrieval methods for Nd, cloud phase classification, vertically resolved aerosol and cloud condensation nuclei number concentration, and ocean surface wind speed. This work describes these scientific and technological advances along with efforts in outreach and open data science.
KW - Aerosol indirect effect
KW - Aerosols
KW - Atmosphere
KW - Clouds
KW - In situ atmospheric observations
KW - Remote sensing
UR - https://www.scopus.com/pages/publications/105013844719
U2 - 10.1175/BAMS-D-24-0136.1
DO - 10.1175/BAMS-D-24-0136.1
M3 - Article
AN - SCOPUS:105013844719
SN - 0003-0007
VL - 106
SP - E1517-E1538
JO - Bulletin of the American Meteorological Society
JF - Bulletin of the American Meteorological Society
IS - 8
ER -